Saiten MCP Server

# 🏆 Agents League @ TechConnect — Scoring Ranking

> Auto-generated: 2026-02-13 05:30:06 UTC
> Scored: 46 / 0 submissions

---

## 🥇 Top 5

| Rank | Project | Track | Submitter | Score |
|------|---------|-------|-----------|-------|
| 1 | [TrendSurf](https://github.com/microsoft/agentsleague-techconnect/issues/27) | 🧠 | [@ethanjenkins1](https://github.com/ethanjenkins1) (hedinulo) | 95.0 |
| 2 | [Zavatravel](https://github.com/microsoft/agentsleague-techconnect/issues/38) | 🧠 | [@sureshpaulraj](https://github.com/sureshpaulraj) (surep, senthkumar, makizhne) | 94.5 |
| 3 | [SovereignFit](https://github.com/microsoft/agentsleague-techconnect/issues/32) | 🎨 | [@danieletten](https://github.com/danieletten) (daetten) | 86.7 |
| 4 | [repo-analyzer](https://github.com/microsoft/agentsleague-techconnect/issues/23) | 🎨 | [@olivomarco](https://github.com/olivomarco) | 86.7 |
| 5 | [Zava Smart Assistant](https://github.com/microsoft/agentsleague-techconnect/issues/42) | 🎨 | [@payton-chou-ms](https://github.com/payton-chou-ms) | 86.1 |

---

## 🏅 Track Top 3

### 🎨 Creative Apps

| Rank | Project | Submitter | Score |
|------|---------|-----------|-------|
| 1 | [SovereignFit](https://github.com/microsoft/agentsleague-techconnect/issues/32) | [@danieletten](https://github.com/danieletten) (daetten) | 86.7 |
| 2 | [repo-analyzer](https://github.com/microsoft/agentsleague-techconnect/issues/23) | [@olivomarco](https://github.com/olivomarco) | 86.7 |
| 3 | [Zava Smart Assistant](https://github.com/microsoft/agentsleague-techconnect/issues/42) | [@payton-chou-ms](https://github.com/payton-chou-ms) | 86.1 |

### 🧠 Reasoning Agents

| Rank | Project | Submitter | Score |
|------|---------|-----------|-------|
| 1 | [TrendSurf](https://github.com/microsoft/agentsleague-techconnect/issues/27) | [@ethanjenkins1](https://github.com/ethanjenkins1) (hedinulo) | 95.0 |
| 2 | [Zavatravel](https://github.com/microsoft/agentsleague-techconnect/issues/38) | [@sureshpaulraj](https://github.com/sureshpaulraj) (surep, senthkumar, makizhne) | 94.5 |
| 3 | [Nimbus Content Agent](https://github.com/microsoft/agentsleague-techconnect/issues/43) | [@namratasherkhane](https://github.com/namratasherkhane) | 86.0 |

### 💼 Enterprise Agents

| Rank | Project | Submitter | Score |
|------|---------|-----------|-------|
| 1 | [Biz-Ops Calendar Agent](https://github.com/microsoft/agentsleague-techconnect/issues/51) | [@aktsmm](https://github.com/aktsmm) | 79.9 |
| 2 | [Corporate Bullshit Translator](https://github.com/microsoft/agentsleague-techconnect/issues/44) | [@Aakanksha346](https://github.com/Aakanksha346) | 49.8 |
| 3 | [SE Agent](https://github.com/microsoft/agentsleague-techconnect/issues/13) | [@Daboostr](https://github.com/Daboostr) | 40.0 |

---

## 📊 All Submissions

| # | Issue | Project | Track | Submitter | Repo | Score | Scored At |
|---|-------|---------|-------|-----------|------|-------|-----------|
| 1 | [#27](https://github.com/microsoft/agentsleague-techconnect/issues/27) | [TrendSurf](https://github.com/microsoft/agentsleague-techconnect/issues/27) | 🧠 | [@ethanjenkins1](https://github.com/ethanjenkins1) (hedinulo) | [repo](https://github.com/ethanjenkins1/trendsurf) | 95.0 | 2026-02-13 |
| 2 | [#38](https://github.com/microsoft/agentsleague-techconnect/issues/38) | [Zavatravel](https://github.com/microsoft/agentsleague-techconnect/issues/38) | 🧠 | [@sureshpaulraj](https://github.com/sureshpaulraj) (surep, senthkumar, makizhne) | [repo](https://github.com/sureshpaulraj/zavatravel) | 94.5 | 2026-02-13 |
| 3 | [#32](https://github.com/microsoft/agentsleague-techconnect/issues/32) | [SovereignFit](https://github.com/microsoft/agentsleague-techconnect/issues/32) | 🎨 | [@danieletten](https://github.com/danieletten) (daetten) | [repo](https://github.com/danieletten/SovereignFit) | 86.7 | 2026-02-13 |
| 4 | [#23](https://github.com/microsoft/agentsleague-techconnect/issues/23) | [repo-analyzer](https://github.com/microsoft/agentsleague-techconnect/issues/23) | 🎨 | [@olivomarco](https://github.com/olivomarco) | [repo](https://github.com/olivomarco/repo-analyzer) | 86.7 | 2026-02-13 |
| 5 | [#42](https://github.com/microsoft/agentsleague-techconnect/issues/42) | [Zava Smart Assistant](https://github.com/microsoft/agentsleague-techconnect/issues/42) | 🎨 | [@payton-chou-ms](https://github.com/payton-chou-ms) | [repo](https://github.com/payton-chou-ms/poc-agents-league-techconnect-2026) | 86.1 | 2026-02-13 |
| 6 | [#31](https://github.com/microsoft/agentsleague-techconnect/issues/31) | [Threat Incident Swarm Commander](https://github.com/microsoft/agentsleague-techconnect/issues/31) | 🎨 | [@dondinulos](https://github.com/dondinulos) (ethanjenkins) | [repo](https://github.com/dondinulos/matrix-smith-swarm) | 86.1 | 2026-02-13 |
| 7 | [#43](https://github.com/microsoft/agentsleague-techconnect/issues/43) | [Nimbus Content Agent](https://github.com/microsoft/agentsleague-techconnect/issues/43) | 🧠 | [@namratasherkhane](https://github.com/namratasherkhane) | [repo](https://github.com/namratasherkhane/namratasherkhane) | 86.0 | 2026-02-13 |
| 8 | [#35](https://github.com/microsoft/agentsleague-techconnect/issues/35) | [techconnect-policy-compliance-checker](https://github.com/microsoft/agentsleague-techconnect/issues/35) | 🧠 | [@taimoor-janjua](https://github.com/taimoor-janjua) | [repo](https://github.com/taimoor-janjua/techconnect-policy-compliance-checker) | 82.5 | 2026-02-13 |
| 9 | [#47](https://github.com/microsoft/agentsleague-techconnect/issues/47) | [Semantic Kernel and AutoGen to MAF Modernizer](https://github.com/microsoft/agentsleague-techconnect/issues/47) | 🧠 | [@misantibanez, valegrajales, eraggi-ar, afrancoc2000](https://github.com/misantibanez, valegrajales, eraggi-ar, afrancoc2000) (michelle.santibanez, valentinag, emilioraggi, anafranco) | [repo](https://github.com/afrancoc2000/tech-connect-2026-sk-modernizer) | 81.0 | 2026-02-13 |
| 10 | [#51](https://github.com/microsoft/agentsleague-techconnect/issues/51) | [Biz-Ops Calendar Agent](https://github.com/microsoft/agentsleague-techconnect/issues/51) | 💼 | [@aktsmm](https://github.com/aktsmm) | [repo](https://github.com/aktsmm/biz-ops-calendar-agent) | 79.9 | 2026-02-13 |
| 11 | [#18](https://github.com/microsoft/agentsleague-techconnect/issues/18) | [My Proposal Develop](https://github.com/microsoft/agentsleague-techconnect/issues/18) | 🧠 | [@balakreshnan](https://github.com/balakreshnan) | [repo](https://github.com/balakreshnan/TechconnectFY26Hackfest) | 79.0 | 2026-02-13 |
| 12 | [#34](https://github.com/microsoft/agentsleague-techconnect/issues/34) | [LearnIQ](https://github.com/microsoft/agentsleague-techconnect/issues/34) | 🎨 | [@kylednoland](https://github.com/kylednoland) | [repo](https://github.com/kylednoland/LearnIQ) | 77.8 | 2026-02-13 |
| 13 | [#54](https://github.com/microsoft/agentsleague-techconnect/issues/54) | [Saiten — Multi-Agent Scoring System](https://github.com/microsoft/agentsleague-techconnect/issues/54) | 🎨 | [@aktsmm](https://github.com/aktsmm) (tatsumiy, nmatsumoto, takuyamasuda) | [repo](https://github.com/aktsmm/FY26_techconnect_saiten) | 77.8 | 2026-02-13 |
| 14 | [#41](https://github.com/microsoft/agentsleague-techconnect/issues/41) | [Architect Agent](https://github.com/microsoft/agentsleague-techconnect/issues/41) | 🎨 | [@bzbrkic](https://github.com/bzbrkic) | [repo](https://github.com/bzbrkic/Agent-Architect) | 76.1 | 2026-02-13 |
| 15 | [#49](https://github.com/microsoft/agentsleague-techconnect/issues/49) | [EasyExpenseAI](https://github.com/microsoft/agentsleague-techconnect/issues/49) | 🎨 | [@chakras](https://github.com/chakras) (arashinkar,jaideeproy) | [repo](https://github.com/chakras/Easy-Expense-AI) | 76.1 | 2026-02-13 |
| 16 | [#25](https://github.com/microsoft/agentsleague-techconnect/issues/25) | [Team Risk Analyzer](https://github.com/microsoft/agentsleague-techconnect/issues/25) | 🎨 | [@rebmid](https://github.com/rebmid) | [repo](https://github.com/rebmid/team-risk-analyzer) | 76.1 | 2026-02-13 |
| 17 | [#14](https://github.com/microsoft/agentsleague-techconnect/issues/14) | [Windows Cortex](https://github.com/microsoft/agentsleague-techconnect/issues/14) | 🎨 | [@jrubiosainz, rag2111](https://github.com/jrubiosainz, rag2111) (jrubiosainz, rarocha) | [repo](https://github.com/jrubiosainz/windows-cortex) | 76.1 | 2026-02-13 |
| 18 | [#11](https://github.com/microsoft/agentsleague-techconnect/issues/11) | [Hybrid DNS Copilot](https://github.com/microsoft/agentsleague-techconnect/issues/11) | 🎨 | [@munieswar](https://github.com/munieswar) (kevinboland) | [repo](https://github.com/munieswar/hybrid-dns-architect) | 75.6 | 2026-02-13 |
| 19 | [#22](https://github.com/microsoft/agentsleague-techconnect/issues/22) | [DailySync](https://github.com/microsoft/agentsleague-techconnect/issues/22) | 🎨 | [@robertoborges](https://github.com/robertoborges) (roborges) | [repo](https://github.com/RobertoBorges/techconnect-Hackfest) | 73.9 | 2026-02-13 |
| 20 | [#33](https://github.com/microsoft/agentsleague-techconnect/issues/33) | [BeatMyPrompt](https://github.com/microsoft/agentsleague-techconnect/issues/33) | 🎨 | [@fimdim](https://github.com/fimdim) | [repo](https://github.com/fimdim/BeatMyPrompt) | 73.3 | 2026-02-13 |
| 21 | [#52](https://github.com/microsoft/agentsleague-techconnect/issues/52) | [HeadlineArt: Where News Meets Canvas](https://github.com/microsoft/agentsleague-techconnect/issues/52) | 🧠 | [@FranGenoa, Ajananth, Lakshmy](https://github.com/FranGenoa, Ajananth, Lakshmy) (frfava, ajananth, lchandran, msadhwani, kumarahu) | [repo](https://github.com/FranGenoa/HeadlineArt) | 72.5 | 2026-02-13 |
| 22 | [#28](https://github.com/microsoft/agentsleague-techconnect/issues/28) | [creative 404](https://github.com/microsoft/agentsleague-techconnect/issues/28) | 🎨 | [@nagendramishr](https://github.com/nagendramishr) | [repo](https://github.com/nagendramishr/creative404) | 72.2 | 2026-02-13 |
| 23 | [#45](https://github.com/microsoft/agentsleague-techconnect/issues/45) | [Prompt Escape - The AI Escape Room  Craft the right prompts. Solve the puzzles. Escape.](https://github.com/microsoft/agentsleague-techconnect/issues/45) | 🎨 | [@billwhalenmsft](https://github.com/billwhalenmsft) | [repo](https://github.com/billwhalenmsft/PromptEscape) | 71.7 | 2026-02-13 |
| 24 | [#39](https://github.com/microsoft/agentsleague-techconnect/issues/39) | [CodeIntel](https://github.com/microsoft/agentsleague-techconnect/issues/39) | 🎨 | [@Mazher-Ul-Haq](https://github.com/Mazher-Ul-Haq) | [repo](https://github.com/Mazher-Ul-Haq/codeintel) | 71.1 | 2026-02-13 |
| 25 | [#15](https://github.com/microsoft/agentsleague-techconnect/issues/15) | [Skills Hub](https://github.com/microsoft/agentsleague-techconnect/issues/15) | 🎨 | [@samueltauil, @rleme](https://github.com/samueltauil, @rleme) (samuel.tauil, rodrigoleme) | [repo](https://github.com/samueltauil/skills-hub) | 71.1 | 2026-02-13 |
| 26 | [#40](https://github.com/microsoft/agentsleague-techconnect/issues/40) | [AI Project Recap Storyboard](https://github.com/microsoft/agentsleague-techconnect/issues/40) | 🎨 | [@huier23, dinowang, chhtw, Phonicdream](https://github.com/huier23, dinowang, chhtw, Phonicdream) (huihuan, yumwang, thhuan, yenjusu) | [repo](https://github.com/where-is-my-org/Creative-Apps) | 70.0 | 2026-02-13 |
| 27 | [#29](https://github.com/microsoft/agentsleague-techconnect/issues/29) | [Upgrade Sage](https://github.com/microsoft/agentsleague-techconnect/issues/29) | 🧠 | [@betanu701](https://github.com/betanu701) | [repo](https://github.com/Betanu701/UpgradeSage) | 69.5 | 2026-02-13 |
| 28 | [#53](https://github.com/microsoft/agentsleague-techconnect/issues/53) | [Marketing Asset Creation Agent](https://github.com/microsoft/agentsleague-techconnect/issues/53) | 🎨 | [@jetzlstorfer @stephan-nik](https://github.com/jetzlstorfer @stephan-nik) (jetzlstorfer, sniklas) | [repo](https://github.com/jetzlstorfer/marketing-asset-creation-agent) | 69.5 | 2026-02-13 |
| 29 | [#37](https://github.com/microsoft/agentsleague-techconnect/issues/37) | [Making money by poop](https://github.com/microsoft/agentsleague-techconnect/issues/37) | 🎨 | [@bensonwugit](https://github.com/bensonwugit) (benswu, YENJUSU, thhuan, huihuan, yumwang) | [repo](https://github.com/bensonwugit/make_money_by_shit) | 69.5 | 2026-02-13 |
| 30 | [#55](https://github.com/microsoft/agentsleague-techconnect/issues/55) | [kube-copilot](https://github.com/microsoft/agentsleague-techconnect/issues/55) | 🎨 | [@openjny](https://github.com/openjny) | [repo](https://github.com/openjny/kube-copilot) | 68.3 | 2026-02-13 |
| 31 | [#9999]() | Test Project | 🎨 | — | — | 67.8 | 2026-02-13 |
| 32 | [#30](https://github.com/microsoft/agentsleague-techconnect/issues/30) | [PolicyShield](https://github.com/microsoft/agentsleague-techconnect/issues/30) | 🎨 | [@onsenturk](https://github.com/onsenturk) | [repo](https://github.com/onsenturk/PolicyShield) | 67.2 | 2026-02-13 |
| 33 | [#36](https://github.com/microsoft/agentsleague-techconnect/issues/36) | [AgentRob](https://github.com/microsoft/agentsleague-techconnect/issues/36) | 🎨 | [@robrita](https://github.com/robrita) | [repo](https://github.com/robrita/standupbot) | 65.0 | 2026-02-13 |
| 34 | [#26](https://github.com/microsoft/agentsleague-techconnect/issues/26) | [Bridgenote](https://github.com/microsoft/agentsleague-techconnect/issues/26) | 🎨 | [@kbeaver16](https://github.com/kbeaver16) | [repo](https://github.com/kbeaver16/bridgenote) | 63.9 | 2026-02-13 |
| 35 | [#46](https://github.com/microsoft/agentsleague-techconnect/issues/46) | [PowerPoint Reviewer Agent](https://github.com/microsoft/agentsleague-techconnect/issues/46) | 🎨 | [@akshaydmaq](https://github.com/akshaydmaq) | [repo](https://github.com/akshaydmaq/PowerPoint-Reviewer-Agent) | 63.3 | 2026-02-13 |
| 36 | [#48](https://github.com/microsoft/agentsleague-techconnect/issues/48) | [CommsGuard](https://github.com/microsoft/agentsleague-techconnect/issues/48) | 🧠 | [@Akshay8870](https://github.com/Akshay8870) (sankhac , jaideeproy) | [repo](https://github.com/Akshay8870/bfsi-commsguard.git) | 63.0 | 2026-02-13 |
| 37 | [#12](https://github.com/microsoft/agentsleague-techconnect/issues/12) | [Zava Content Studio — Social Media Content Agent](https://github.com/microsoft/agentsleague-techconnect/issues/12) | 🧠 | [@lordlinus, @ganachan, @hieunhums](https://github.com/lordlinus, @ganachan, @hieunhums) (ssattiraju, ganac, hieunhums) | [repo](https://github.com/lordlinus/hackfest-fy26) | 58.5 | 2026-02-13 |
| 38 | [#16](https://github.com/microsoft/agentsleague-techconnect/issues/16) | [FoundryReleaseScout](https://github.com/microsoft/agentsleague-techconnect/issues/16) | 🧠 | [@JW-Sthlm](https://github.com/JW-Sthlm) (jwallquist) | [repo](https://github.com/JW-Sthlm/jw-hackfest/) | 54.5 | 2026-02-13 |
| 39 | [#21](https://github.com/microsoft/agentsleague-techconnect/issues/21) | [Deal to Glory](https://github.com/microsoft/agentsleague-techconnect/issues/21) | 🎨 | [@billwhalenmsft](https://github.com/billwhalenmsft) | [repo](https://github.com/billwhalenmsft/agents-league-deal-to-glory**) | 53.3 | 2026-02-13 |
| 40 | [#44](https://github.com/microsoft/agentsleague-techconnect/issues/44) | [Corporate Bullshit Translator](https://github.com/microsoft/agentsleague-techconnect/issues/44) | 💼 | [@Aakanksha346](https://github.com/Aakanksha346) | [repo](https://github.com/Aakanksha346/corporate-bullshit-translator) | 49.8 | 2026-02-13 |
| 41 | [#24](https://github.com/microsoft/agentsleague-techconnect/issues/24) | [STEMProjectGenerator](https://github.com/microsoft/agentsleague-techconnect/issues/24) | 🎨 | [@getAlex](https://github.com/getAlex) | [repo](https://github.com/getalex/STEMProjectGenerator) | 41.6 | 2026-02-13 |
| 42 | [#13](https://github.com/microsoft/agentsleague-techconnect/issues/13) | [SE Agent](https://github.com/microsoft/agentsleague-techconnect/issues/13) | 💼 | [@Daboostr](https://github.com/Daboostr) | [repo](https://github.com/daboostr/SEDemoAgent) | 40.0 | 2026-02-13 |
| 43 | [#19](https://github.com/microsoft/agentsleague-techconnect/issues/19) | [My Awesome Architecture Executive Visualizer](https://github.com/microsoft/agentsleague-techconnect/issues/19) | 🎨 | [@JochenMSFT](https://github.com/JochenMSFT) (joschr) | [repo](https://github.com/JochenMSFT/architecture-executive-visualizer) | 37.2 | 2026-02-13 |
| 44 | [#20](https://github.com/microsoft/agentsleague-techconnect/issues/20) | [Pokémon Memory Game](https://github.com/microsoft/agentsleague-techconnect/issues/20) | 🎨 | [@PriyamvadaSharma](https://github.com/PriyamvadaSharma) | [repo](https://github.com/PriyamvadaSharma/HackFest) | 30.6 | 2026-02-13 |
| 45 | [#50](https://github.com/microsoft/agentsleague-techconnect/issues/50) | [Email Summarizer](https://github.com/microsoft/agentsleague-techconnect/issues/50) | 💼 | [@akshaydmaq](https://github.com/akshaydmaq) | [repo](https://github.com/akshaydmaq/Email-Summarization) | 29.9 | 2026-02-13 |
| 46 | [#10](https://github.com/microsoft/agentsleague-techconnect/issues/10) | [My Hackathon Project](https://github.com/microsoft/agentsleague-techconnect/issues/10) | 🎨 | [@monikadubey](https://github.com/monikadubey) | [repo](https://github.com/moni0403/MyGitRepo) | 28.3 | 2026-02-13 |

---

## 📋 Individual Evaluation Summaries

### #27: [TrendSurf](https://github.com/microsoft/agentsleague-techconnect/issues/27)
- **Track**: 🧠 Reasoning Agents
- **Score**: 95.0/100
- **Submitter**: [@ethanjenkins1](https://github.com/ethanjenkins1) (hedinulo)
- **Team**: hedinulo
- **Repo**: [https://github.com/ethanjenkins1/trendsurf](https://github.com/ethanjenkins1/trendsurf)
- **Description**: **TrendSurf Copilot** is an AI-powered social media content pipeline for regulated industries (like fintech). You give it a trending topic, and it automatically produces publish-ready posts for LinkedIn, X/Twitter, and Microsoft Teams — all checked against your company's brand policy.  **How it work…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: social, Reasoning & Multi-step Thinking: CoT pattern: chain-of-thought. ReAct signals: react, act. Self-reflection: self-correct, self-reflection, evaluate. Mult, Creativity & Originality: Innovation signals: differentiator, custom. Technology stack: Key Technologies Used in TrendSurf Copilot:**, | Technolog, User Experience & Presentation: Demo: screenshots. Detailed README (31 sections). Setup instructions present. Architecture or flow diagram included, Technical Implementation: Automated tests present. Security measures documented. Multi-agent or tool integration architecture. Code examples in RE
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: TrendSurf (reasoning-agents track, 95.0/100): **TrendSurf Copilot** is an AI-powered social media content pipeline for regulated industries (like fintech). You give it a trending topic, and it automatically produces publish-ready posts for Linked

### #38: [Zavatravel](https://github.com/microsoft/agentsleague-techconnect/issues/38)
- **Track**: 🧠 Reasoning Agents
- **Score**: 94.5/100
- **Submitter**: [@sureshpaulraj](https://github.com/sureshpaulraj) (surep, senthkumar, makizhne)
- **Team**: surep, senthkumar, makizhne
- **Repo**: [https://github.com/sureshpaulraj/zavatravel](https://github.com/sureshpaulraj/zavatravel)
- **Description**: Three AI agents collaborate in a group chat to generate, review, and publish platform-ready social media content for Zava Travel Inc.  - **Creator** | Azure OpenAI (GPT-5.x) | Chain-of-Thought (5 steps) | Drafts content with visible reasoning - **Reviewer** | GitHub Copilot SDK | ReAct (Observe → Th…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: social, Reasoning & Multi-step Thinking: CoT pattern: chain-of-thought. ReAct signals: react, act, observe, think. Self-reflection: self-reflection. Multi-step f, Creativity & Originality: Innovation signals: custom. Technology stack: Backend (Python)**, Microsoft Agent Framework — multi-agent orchestration , User Experience & Presentation: Demo: screenshots. Detailed README (23 sections). Setup instructions present. Architecture or flow diagram included, Technical Implementation: Error handling documented. Automated tests present. Security measures documented. Multi-agent or tool integration archit
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Zavatravel (reasoning-agents track, 94.5/100): Three AI agents collaborate in a group chat to generate, review, and publish platform-ready social media content for Zava Travel Inc.

- **Creator** | Azure OpenAI (GPT-5.x) | Chain-of-Thought (5 step

### #32: [SovereignFit](https://github.com/microsoft/agentsleague-techconnect/issues/32)
- **Track**: 🎨 Creative Apps
- **Score**: 86.7/100
- **Submitter**: [@danieletten](https://github.com/danieletten) (daetten)
- **Team**: daetten
- **Repo**: [https://github.com/danieletten/SovereignFit](https://github.com/danieletten/SovereignFit)
- **Description**: SovereignFit is a multi-agent reasoning pipeline that analyzes workload characteristics and recommends the optimal Azure deployment model. It evaluates 5 models (Public Azure, Azure Local Connected, Hybrid, Edge, Azure Local Disconnected) across 5 dynamically weighted dimensions. The pipeline consis…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp tool, mcp integration. Copilot usage: copilot, github copilot, copilot chat. Chec, Reasoning & Multi-step Thinking: Reasoning patterns: . Multi-agent architecture: multi-agent, orchestrat. Error handling or recovery logic documented, Creativity & Originality: Novelty signals: custom. Diverse technology combination: FastMCP (Model Context Protocol) — MCP server with 5 tools for , UX & Presentation: Screenshots provided in demo section. Comprehensive README with 30 sections. Setup instructions included. Architecture d, Reliability & Safety: Security considerations: .env, gitignore. Error handling documented. Testing documented (automated tests). Checklist con
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: SovereignFit (creative-apps track, 86.7/100): SovereignFit is a multi-agent reasoning pipeline that analyzes workload characteristics and recommends the optimal Azure deployment model. It evaluates 5 models (Public Azure, Azure Local Connected, H

### #23: [repo-analyzer](https://github.com/microsoft/agentsleague-techconnect/issues/23)
- **Track**: 🎨 Creative Apps
- **Score**: 86.7/100
- **Submitter**: [@olivomarco](https://github.com/olivomarco)
- **Repo**: [https://github.com/olivomarco/repo-analyzer](https://github.com/olivomarco/repo-analyzer)
- **Description**: **Repo Inspector** analyzes any GitHub repository and provides actionable insights across **people**, **code quality**, **security**, and **team dynamics**. It combines deterministic metrics with LLM-powered intelligence to surface risks, identify knowledge silos, and help teams make better decision…
- **Strengths**: Accuracy & Relevance: Copilot usage: copilot, github copilot, copilot sdk. Checklist: 100% requirements met. Detailed description (302 chars)., Reasoning & Multi-step Thinking: Reasoning patterns: . Multi-agent architecture: orchestrat. Error handling or recovery logic documented, Creativity & Originality: Novelty signals: custom. Detailed project description with technical highlights, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 38 sections. Setup instructions included. Architecture d, Reliability & Safety: Security considerations: .env, environment variable. Error handling documented. Testing documented (automated tests). Ch
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: repo-analyzer (creative-apps track, 86.7/100): **Repo Inspector** analyzes any GitHub repository and provides actionable insights across **people**, **code quality**, **security**, and **team dynamics**. It combines deterministic metrics with LLM-

### #42: [Zava Smart Assistant](https://github.com/microsoft/agentsleague-techconnect/issues/42)
- **Track**: 🎨 Creative Apps
- **Score**: 86.1/100
- **Submitter**: [@payton-chou-ms](https://github.com/payton-chou-ms)
- **Repo**: [https://github.com/payton-chou-ms/poc-agents-league-techconnect-2026](https://github.com/payton-chou-ms/poc-agents-league-techconnect-2026)
- **Description**: Zava Smart Assistant is an AI-powered enterprise incident response agent built on the GitHub Copilot SDK. It orchestrates a cross-regional product outage scenario through a single conversational interface, guiding users through 4 phases: Diagnose, Fix, Verify, and Report. The system uses a novel "Sk…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp integration. Copilot usage: copilot, github copilot, copilot sdk. Checklist: 100%, Reasoning & Multi-step Thinking: Reasoning patterns: . Multi-agent architecture: orchestrat, Creativity & Originality: Novelty signals: custom, novel. Diverse technology combination: GitHub Copilot SDK (CopilotClient), GPT-4.1, Model Conte, UX & Presentation: Video demo provided. Comprehensive README with 14 sections. No clear setup instructions in README. Architecture diagram , Reliability & Safety: Security considerations: .env, credential. Testing documented (automated tests). Checklist confirms no hardcoded secrets
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Zava Smart Assistant (creative-apps track, 86.1/100): Zava Smart Assistant is an AI-powered enterprise incident response agent built on the GitHub Copilot SDK. It orchestrates a cross-regional product outage scenario through a single conversational inter

### #31: [Threat Incident Swarm Commander](https://github.com/microsoft/agentsleague-techconnect/issues/31)
- **Track**: 🎨 Creative Apps
- **Score**: 86.1/100
- **Submitter**: [@dondinulos](https://github.com/dondinulos) (ethanjenkins)
- **Team**: ethanjenkins
- **Repo**: [https://github.com/dondinulos/matrix-smith-swarm](https://github.com/dondinulos/matrix-smith-swarm)
- **Description**: Mirrored from the Matrix, an incident starts as one "Agent Smith". Within minutes, it multiplies across services/endpoints. My console shows the replication graph in real-time, explains the spawn reasons, and coordinates specialized agents "Neo" — triage, diagnosis, mitigation, and comms — so respon…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp tool, mcp integration. Copilot usage: copilot, github copilot, copilot chat. Chec, Reasoning & Multi-step Thinking: Reasoning patterns: react. Multi-agent architecture: swarm, multi-agent, orchestrat, Creativity & Originality: Novelty signals: first. Diverse technology combination: GitHub Copilot, TypeScript — shared engine, terminal, web, and M, UX & Presentation: Video demo provided. Comprehensive README with 24 sections. Setup instructions included. Architecture diagram or flow de, Reliability & Safety: Security considerations: credential. No automated tests mentioned. Checklist confirms no hardcoded secrets. Verified 214
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Threat Incident Swarm Commander (creative-apps track, 86.1/100): Mirrored from the Matrix, an incident starts as one "Agent Smith". Within minutes, it multiplies across services/endpoints. My console shows the replication graph in real-time, explains the spawn reas

### #43: [Nimbus Content Agent](https://github.com/microsoft/agentsleague-techconnect/issues/43)
- **Track**: 🧠 Reasoning Agents
- **Score**: 86.0/100
- **Submitter**: [@namratasherkhane](https://github.com/namratasherkhane)
- **Repo**: [https://github.com/namratasherkhane/namratasherkhane](https://github.com/namratasherkhane/namratasherkhane)
- **Description**: AI agent that helps a loan-focused BFSI comms team craft platform-ready social content. It uses Microsoft Foundry for reasoning, grounds on brand and industry context, and can be extended with MCP tools for actions like saving drafts or fetching news. This project is a BFSI social content agent buil…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: campaign, content. Groun, Reasoning & Multi-step Thinking: CoT pattern: chain-of-thought. ReAct signals: react, act. Multi-step flow: workflow, Creativity & Originality: Innovation signals: custom. Technology stack: Python 3, Microsoft Foundry SDK, Retrieval grounding (knowledge base over , User Experience & Presentation: Demo: screenshots. Detailed README (8 sections). Setup instructions present, Technical Implementation: Error handling documented. Security measures documented. Code examples in README. Repo: 18 source, 0 test, 44 total file
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Nimbus Content Agent (reasoning-agents track, 86.0/100): AI agent that helps a loan-focused BFSI comms team craft platform-ready social content. It uses Microsoft Foundry for reasoning, grounds on brand and industry context, and can be extended with MCP too

### #35: [techconnect-policy-compliance-checker](https://github.com/microsoft/agentsleague-techconnect/issues/35)
- **Track**: 🧠 Reasoning Agents
- **Score**: 82.5/100
- **Submitter**: [@taimoor-janjua](https://github.com/taimoor-janjua)
- **Repo**: [https://github.com/taimoor-janjua/techconnect-policy-compliance-checker](https://github.com/taimoor-janjua/techconnect-policy-compliance-checker)
- **Description**: - The AI Privacy Notice Copilot is a full-stack MVP (React + TypeScript frontend, .NET 8 backend, Azure AI Foundry) that guides non-technical users through creating GDPR-compliant privacy notices via a friendly, one-question-at-a-time chat experience.  - It covers all 13 mandatory GDPR Article 13/14…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry. Checklist: 100% met. Repo: 20 source, 4 test, 53 total files, 1 commits, Reasoning & Multi-step Thinking: ReAct signals: react, act. Multi-step flow: workflow, orchestrat, pipeline, Creativity & Originality: Technology stack: React + TypeScript frontend, .NET 8 Web API backend, Azure AI Foundry. Detailed problem description. D, User Experience & Presentation: Demo: screenshots. Detailed README (28 sections). Setup instructions present. Architecture or flow diagram included, Technical Implementation: Error handling documented. Automated tests present. Security measures documented. Multi-agent or tool integration archit
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: techconnect-policy-compliance-checker (reasoning-agents track, 82.5/100): - The AI Privacy Notice Copilot is a full-stack MVP (React + TypeScript frontend, .NET 8 backend, Azure AI Foundry) that guides non-technical users through creating GDPR-compliant privacy notices via 

### #47: [Semantic Kernel and AutoGen to MAF Modernizer](https://github.com/microsoft/agentsleague-techconnect/issues/47)
- **Track**: 🧠 Reasoning Agents
- **Score**: 81.0/100
- **Submitter**: [@misantibanez, valegrajales, eraggi-ar, afrancoc2000](https://github.com/misantibanez, valegrajales, eraggi-ar, afrancoc2000) (michelle.santibanez, valentinag, emilioraggi, anafranco)
- **Team**: michelle.santibanez, valentinag, emilioraggi, anafranco
- **Repo**: [https://github.com/afrancoc2000/tech-connect-2026-sk-modernizer](https://github.com/afrancoc2000/tech-connect-2026-sk-modernizer)
- **Description**: An MCP-exposed AI agent that analyzes code written with Semantic Kernel or AutoGen and modernizes it to Microsoft Agent Framework (MAF). Built to integrate with the [MAF Agent Portal](https://github.com/misantibanez/AI-MAF-AGENT-CREATION) as an MCP tool, or used standalone via CLI/MCP in VS Code.
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: conten, Creativity & Originality: Technology stack: Here are the key technologies used in this project:, Azure AI Foundry serves as the core platform for , User Experience & Presentation: Demo: screenshots. Detailed README (17 sections). Setup instructions present. Architecture or flow diagram included, Technical Implementation: Automated tests present. Security measures documented. Multi-agent or tool integration architecture. Code examples in RE
- **Improvements**: Consider strengthening Reasoning & Multi-step Thinking (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Semantic Kernel and AutoGen to MAF Modernizer (reasoning-agents track, 81.0/100): An MCP-exposed AI agent that analyzes code written with Semantic Kernel or AutoGen and modernizes it to Microsoft Agent Framework (MAF). Built to integrate with the [MAF Agent Portal](https://github.c

### #51: [Biz-Ops Calendar Agent](https://github.com/microsoft/agentsleague-techconnect/issues/51)
- **Track**: 💼 Enterprise Agents
- **Score**: 79.9/100
- **Submitter**: [@aktsmm](https://github.com/aktsmm)
- **Repo**: [https://github.com/aktsmm/biz-ops-calendar-agent](https://github.com/aktsmm/biz-ops-calendar-agent)
- **Description**: Biz-Ops Calendar Agent is a Copilot Studio agent deployed to M365 Copilot Chat (Teams) that provides smart scheduling and email management through Connected Agents (Calendar Sub-Agent + Email Sub-Agent) and deep Instruction Engineering with structured output formats (★/🔄 markers + ◎○△ point tables).…
- **Strengths**: Technical Implementation: M365 integration: copilot chat, microsoft 365, m365, outlook, teams. MCP: mcp, mcp server. Adaptive Cards: card, adaptiv, Business Value: Business value signals: business. Enterprise scenario: enterprise, workflow. Detailed business description, Innovation & Creativity: Technology stack: **Copilot Studio** - Connected Agents + Instruction Engineering v7, **M365 Copilot Chat (Teams)** - Pr
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Biz-Ops Calendar Agent (enterprise-agents track, 79.9/100): Biz-Ops Calendar Agent is a Copilot Studio agent deployed to M365 Copilot Chat (Teams) that provides smart scheduling and email management through Connected Agents (Calendar Sub-Agent + Email Sub-Agen

### #18: [My Proposal Develop](https://github.com/microsoft/agentsleague-techconnect/issues/18)
- **Track**: 🧠 Reasoning Agents
- **Score**: 79.0/100
- **Submitter**: [@balakreshnan](https://github.com/balakreshnan)
- **Repo**: [https://github.com/balakreshnan/TechconnectFY26Hackfest](https://github.com/balakreshnan/TechconnectFY26Hackfest)
- **Description**: My idea is to build agent for RFP proposal with foundry IQ and then make it a CI/CD to deploy to various environments
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry. Checklist: 100% met. Communication/content scenario: content. Grounding: search. Limited code: R, Reasoning & Multi-step Thinking: ReAct signals: act. Self-reflection: evaluate. Multi-step flow: workflow, pipeline, User Experience & Presentation: Demo: screenshots. Detailed README (47 sections). Setup instructions present. Architecture or flow diagram included, Technical Implementation: Automated tests present. Security measures documented. Code examples in README. Limited code: Repo: 4 source, 0 test, 18
- **Improvements**: Creativity & Originality: Standard approach, Consider adding automated tests, Consider adding architecture documentation
- **Summary**: My Proposal Develop (reasoning-agents track, 79.0/100): My idea is to build agent for RFP proposal with foundry IQ and then make it a CI/CD to deploy to various environments

### #34: [LearnIQ](https://github.com/microsoft/agentsleague-techconnect/issues/34)
- **Track**: 🎨 Creative Apps
- **Score**: 77.8/100
- **Submitter**: [@kylednoland](https://github.com/kylednoland)
- **Repo**: [https://github.com/kylednoland/LearnIQ](https://github.com/kylednoland/LearnIQ)
- **Description**: LearnIQ is a personalized learning companion that connects your professional skills and career role to relevant content from the Microsoft Learn catalog. Instead of manually browsing thousands of modules, you define your skills matrix and role, and LearnIQ surfaces the most relevant learning paths —…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp client. Copilot usage: copilot, github copilot. Checklist: 100% requirements met., Reasoning & Multi-step Thinking: Reasoning patterns: react, Creativity & Originality: Novelty signals: first. Diverse technology combination: TypeScript, Next.js 16, React 19, Tailwind CSS 4, Zod. Detailed , UX & Presentation: Screenshots provided in demo section. Comprehensive README with 20 sections. Setup instructions included. Architecture d
- **Improvements**: Consider strengthening Reliability & Safety (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: LearnIQ (creative-apps track, 77.8/100): LearnIQ is a personalized learning companion that connects your professional skills and career role to relevant content from the Microsoft Learn catalog. Instead of manually browsing thousands of modu

### #54: [Saiten — Multi-Agent Scoring System](https://github.com/microsoft/agentsleague-techconnect/issues/54)
- **Track**: 🎨 Creative Apps
- **Score**: 77.8/100
- **Submitter**: [@aktsmm](https://github.com/aktsmm) (tatsumiy, nmatsumoto, takuyamasuda)
- **Team**: tatsumiy, nmatsumoto, takuyamasuda
- **Repo**: [https://github.com/aktsmm/FY26_techconnect_saiten](https://github.com/aktsmm/FY26_techconnect_saiten)
- **Description**: A multi-agent scoring system that automatically evaluates all Agents League @ TechConnect hackathon submissions and generates ranking reports. Designed with Orchestrator-Workers + Prompt Chaining + Evaluator-Optimizer patterns, 6 Copilot custom agents (.agent.md) autonomously collect GitHub Issue su…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp tool. Copilot usage: copilot, github copilot. Checklist: 100% requirements met. D, Reasoning & Multi-step Thinking: Reasoning patterns: chain-of-thought, cot. Multi-agent architecture: multi-agent, orchestrat. Error handling or recovery, Creativity & Originality: Novelty signals: custom, novel. Diverse technology combination: VS Code Copilot Custom Agents (.agent.md) - Orchestrator, Reliability & Safety: Error handling documented. Testing documented (automated tests). Hardcoded secrets concern (checklist not confirmed). Ve
- **Improvements**: UX & Presentation: No demo materials provided. Comprehensive README with 11 sections. No clear setup instructions in README. Architecture d, Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Saiten — Multi-Agent Scoring System (creative-apps track, 77.8/100): A multi-agent scoring system that automatically evaluates all Agents League @ TechConnect hackathon submissions and generates ranking reports. Designed with Orchestrator-Workers + Prompt Chaining + Ev

### #41: [Architect Agent](https://github.com/microsoft/agentsleague-techconnect/issues/41)
- **Track**: 🎨 Creative Apps
- **Score**: 76.1/100
- **Submitter**: [@bzbrkic](https://github.com/bzbrkic)
- **Repo**: [https://github.com/bzbrkic/Agent-Architect](https://github.com/bzbrkic/Agent-Architect)
- **Description**: Agent Architect helps teams determine the best approach for building AI agents by analyzing customer needs, technical constraints, and requirements. It provides build vs. buy recommendations, architecture outlines, and starter prompts for implementation.
- **Strengths**: Accuracy & Relevance: MCP integration found: MCP mentioned in project. Copilot usage: copilot. Checklist: 100% requirements met. Detailed desc, Reasoning & Multi-step Thinking: Reasoning patterns: react. Multi-agent architecture: orchestrat, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 21 sections. Setup instructions included. Architecture d
- **Improvements**: Consider strengthening Creativity & Originality (scored 6/10), Consider strengthening Reliability & Safety (scored 6/10)
- **Summary**: Architect Agent (creative-apps track, 76.1/100): Agent Architect helps teams determine the best approach for building AI agents by analyzing customer needs, technical constraints, and requirements. It provides build vs. buy recommendations, architec

### #49: [EasyExpenseAI](https://github.com/microsoft/agentsleague-techconnect/issues/49)
- **Track**: 🎨 Creative Apps
- **Score**: 76.1/100
- **Submitter**: [@chakras](https://github.com/chakras) (arashinkar,jaideeproy)
- **Team**: arashinkar,jaideeproy
- **Repo**: [https://github.com/chakras/Easy-Expense-AI](https://github.com/chakras/Easy-Expense-AI)
- **Description**: An intelligent expense report application powered by a multi-agent AI pipeline built with Microsoft Semantic Kernel, Azure AI Document Intelligence, and Azure OpenAI.  EasyExpenseAI automates the tedious process of expense reporting. Users upload receipt images or PDFs — flight tickets, hotel invoic…
- **Strengths**: Accuracy & Relevance: Copilot usage: copilot, github copilot. Checklist: 100% requirements met. Detailed description (893 chars). Repo: 19 sou, Reasoning & Multi-step Thinking: Reasoning patterns: . Multi-agent architecture: multi-agent, semantic kernel, orchestrat. Error handling or recovery log, UX & Presentation: Video demo provided. Comprehensive README with 12 sections. Setup instructions included. Architecture diagram or flow de, Reliability & Safety: Security considerations: environment variable, credential. Error handling documented. No automated tests mentioned. Chec
- **Improvements**: Creativity & Originality: Novelty signals: original, unique, custom. Diverse technology combination: Runtime & Framework**, Node.js v24 — Server-s, Consider adding automated tests, Consider adding architecture documentation
- **Summary**: EasyExpenseAI (creative-apps track, 76.1/100): An intelligent expense report application powered by a multi-agent AI pipeline built with Microsoft Semantic Kernel, Azure AI Document Intelligence, and Azure OpenAI.

EasyExpenseAI automates the tedi

### #25: [Team Risk Analyzer](https://github.com/microsoft/agentsleague-techconnect/issues/25)
- **Track**: 🎨 Creative Apps
- **Score**: 76.1/100
- **Submitter**: [@rebmid](https://github.com/rebmid)
- **Repo**: [https://github.com/rebmid/team-risk-analyzer](https://github.com/rebmid/team-risk-analyzer)
- **Description**: Team Risk Analyzer is an MCP‑enabled CLI tool that helps teams keep a pulse on their day‑to‑day delivery health inside VS Code. It reviews pull requests, issues, and meeting notes—using the same style of metadata you’d find in GitHub—to spot potential risks early. That includes things like aging PRs…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp integration. Copilot usage: copilot, github copilot, copilot chat. Checklist: 100, Reasoning & Multi-step Thinking: Reasoning patterns: . Error handling or recovery logic documented, Creativity & Originality: Diverse technology combination: Node.js, Commander.js (CLI framework), Model Context Protocol (MCP), GitHub Copilot (Cha, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 17 sections. Setup instructions included, Reliability & Safety: Security considerations: credential. Error handling documented. No automated tests mentioned. Checklist confirms no hard
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Team Risk Analyzer (creative-apps track, 76.1/100): Team Risk Analyzer is an MCP‑enabled CLI tool that helps teams keep a pulse on their day‑to‑day delivery health inside VS Code.
It reviews pull requests, issues, and meeting notes—using the same style

### #14: [Windows Cortex](https://github.com/microsoft/agentsleague-techconnect/issues/14)
- **Track**: 🎨 Creative Apps
- **Score**: 76.1/100
- **Submitter**: [@jrubiosainz, rag2111](https://github.com/jrubiosainz, rag2111) (jrubiosainz, rarocha)
- **Team**: jrubiosainz, rarocha
- **Repo**: [https://github.com/jrubiosainz/windows-cortex](https://github.com/jrubiosainz/windows-cortex)
- **Description**: My app is a Claude Cowork Killer... using 100% Microsoft tools, accessible for anyone through text or voice, and running on Windows!  Windows Cortex is a native desktop application that gives you AI superpowers over your Windows PC. Just type (or speak) what you want to do in natural language, and t…
- **Strengths**: Accuracy & Relevance: MCP integration found: MCP mentioned in project. Copilot usage: copilot, github copilot, copilot sdk. Checklist: 100% re, Reasoning & Multi-step Thinking: Reasoning patterns: . Error handling or recovery logic documented, Creativity & Originality: Diverse technology combination: TypeScript, JavaScript, CSS, HTML. Detailed project description with technical highlight, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 12 sections. No clear setup instructions in README. Arch
- **Improvements**: Consider strengthening Reliability & Safety (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Windows Cortex (creative-apps track, 76.1/100): My app is a Claude Cowork Killer... using 100% Microsoft tools, accessible for anyone through text or voice, and running on Windows!

Windows Cortex is a native desktop application that gives you AI s

### #11: [Hybrid DNS Copilot](https://github.com/microsoft/agentsleague-techconnect/issues/11)
- **Track**: 🎨 Creative Apps
- **Score**: 75.6/100
- **Submitter**: [@munieswar](https://github.com/munieswar) (kevinboland)
- **Team**: kevinboland
- **Repo**: [https://github.com/munieswar/hybrid-dns-architect](https://github.com/munieswar/hybrid-dns-architect)
- **Description**: Hybrid DNS Architect helps network engineers and cloud architects visualize, understand, and deploy Azure DNS Private Resolver configurations for hybrid DNS environments. It tackles the complexity of setting up bidirectional DNS resolution between Azure and on-premises networks.  Interactive Archite…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp tool, mcp integration. Copilot usage: copilot, github copilot, copilot chat. Chec, Reasoning & Multi-step Thinking: Reasoning patterns: react, UX & Presentation: Live demo URL available. Comprehensive README with 15 sections. Setup instructions included. Architecture diagram or flo
- **Improvements**: Consider strengthening Creativity & Originality (scored 6/10), Consider strengthening Reliability & Safety (scored 6/10)
- **Summary**: Hybrid DNS Copilot (creative-apps track, 75.6/100): Hybrid DNS Architect helps network engineers and cloud architects visualize, understand, and deploy Azure DNS Private Resolver configurations for hybrid DNS environments. It tackles the complexity of 

### #22: [DailySync](https://github.com/microsoft/agentsleague-techconnect/issues/22)
- **Track**: 🎨 Creative Apps
- **Score**: 73.9/100
- **Submitter**: [@robertoborges](https://github.com/robertoborges) (roborges)
- **Team**: roborges
- **Repo**: [https://github.com/RobertoBorges/techconnect-Hackfest](https://github.com/RobertoBorges/techconnect-Hackfest)
- **Description**: AI-powered CLI tool that auto-generates daily standup reports by pulling real   developer activity from GitHub (commits, PRs, issues) and Microsoft 365 (calendar, Teams, action items) via MCP.   Saves ~10 min/day writing standups.
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp integration. Copilot usage: copilot, github copilot, copilot sdk, copilot chat. C, Reasoning & Multi-step Thinking: Reasoning patterns: , UX & Presentation: Screenshots provided in demo section. Comprehensive README with 33 sections. Setup instructions included. Architecture d
- **Improvements**: Consider strengthening Creativity & Originality (scored 6/10), Consider strengthening Reliability & Safety (scored 6/10)
- **Summary**: DailySync (creative-apps track, 73.9/100): AI-powered CLI tool that auto-generates daily standup reports by pulling real
  developer activity from GitHub (commits, PRs, issues) and Microsoft 365 (calendar, Teams, action items) via MCP.
  Saves

### #33: [BeatMyPrompt](https://github.com/microsoft/agentsleague-techconnect/issues/33)
- **Track**: 🎨 Creative Apps
- **Score**: 73.3/100
- **Submitter**: [@fimdim](https://github.com/fimdim)
- **Repo**: [https://github.com/fimdim/BeatMyPrompt](https://github.com/fimdim/BeatMyPrompt)
- **Description**: **BeatMyPrompt** is a live AI battle experience where two AI‑generated verses go head‑to‑head, and the **audience decides the winner using their applause**.  No apps, no sign‑ups, no friction.   Just: - AI for **creative generation** - A crowd for **judgment** - And a big, visual **Clap‑O‑Meter** th…
- **Strengths**: Accuracy & Relevance: Copilot usage: copilot, github copilot. Checklist: 100% requirements met. Detailed description (550 chars). Repo: 14 sou, Reasoning & Multi-step Thinking: Reasoning patterns: react, Creativity & Originality: Diverse technology combination: > 🤖 This project was fully generated by **GitHub Copilot** in **VS Code** — code, struct, UX & Presentation: Video demo provided. Comprehensive README with 17 sections. Setup instructions included, Reliability & Safety: Security considerations: .env. Testing documented (automated tests). Checklist confirms no hardcoded secrets. Claims tes
- **Improvements**: Consider adding automated tests, Consider adding architecture documentation
- **Summary**: BeatMyPrompt (creative-apps track, 73.3/100): **BeatMyPrompt** is a live AI battle experience where two AI‑generated verses go head‑to‑head, and the **audience decides the winner using their applause**.

No apps, no sign‑ups, no friction.  
Just:

### #52: [HeadlineArt: Where News Meets Canvas](https://github.com/microsoft/agentsleague-techconnect/issues/52)
- **Track**: 🧠 Reasoning Agents
- **Score**: 72.5/100
- **Submitter**: [@FranGenoa, Ajananth, Lakshmy](https://github.com/FranGenoa, Ajananth, Lakshmy) (frfava, ajananth, lchandran, msadhwani, kumarahu)
- **Team**: frfava, ajananth, lchandran, msadhwani, kumarahu
- **Repo**: [https://github.com/FranGenoa/HeadlineArt](https://github.com/FranGenoa/HeadlineArt)
- **Description**: HeadlineArt is a 7-agent AI pipeline built with Microsoft Agent Framework that scans daily news, curates the most visually compelling stories, designs an art concept, writes Instagram-ready captions, and generates the final artwork using gpt-image-1.5, all autonomously with a built-in quality review…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: social, Creativity & Originality: Innovation signals: custom. Technology stack: Microsoft Agent Framework (Python) — multi-agent orchestration, Microsoft , User Experience & Presentation: Demo: screenshots. Detailed README (18 sections). Setup instructions present. Architecture or flow diagram included, Technical Implementation: Error handling documented. Security measures documented. Multi-agent or tool integration architecture. Code examples in 
- **Improvements**: Consider strengthening Reasoning & Multi-step Thinking (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: HeadlineArt: Where News Meets Canvas (reasoning-agents track, 72.5/100): HeadlineArt is a 7-agent AI pipeline built with Microsoft Agent Framework that scans daily news, curates the most visually compelling stories, designs an art concept, writes Instagram-ready captions, 

### #28: [creative 404](https://github.com/microsoft/agentsleague-techconnect/issues/28)
- **Track**: 🎨 Creative Apps
- **Score**: 72.2/100
- **Submitter**: [@nagendramishr](https://github.com/nagendramishr)
- **Repo**: [https://github.com/nagendramishr/creative404](https://github.com/nagendramishr/creative404)
- **Description**: Generates a 404 image for use with websites.  As input, you point the generator to a working MCP server.  The code will inspect the server and based on the capabilities, generate a graphic that is apropriate.
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server. Checklist: 100% requirements met. Detailed description (208 chars), Reasoning & Multi-step Thinking: Reasoning patterns: , UX & Presentation: Screenshots provided in demo section. Comprehensive README with 20 sections. Setup instructions included, Reliability & Safety: Testing documented (automated tests). Checklist confirms no hardcoded secrets. .gitignore present
- **Improvements**: Consider strengthening Creativity & Originality (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: creative 404 (creative-apps track, 72.2/100): Generates a 404 image for use with websites.  As input, you point the generator to a working MCP server.  The code will inspect the server and based on the capabilities, generate a graphic that is apr

### #45: [Prompt Escape - The AI Escape Room  Craft the right prompts. Solve the puzzles. Escape.](https://github.com/microsoft/agentsleague-techconnect/issues/45)
- **Track**: 🎨 Creative Apps
- **Score**: 71.7/100
- **Submitter**: [@billwhalenmsft](https://github.com/billwhalenmsft)
- **Repo**: [https://github.com/billwhalenmsft/PromptEscape](https://github.com/billwhalenmsft/PromptEscape)
- **Description**: Prompt Escape is a visual, prompt-engineering escape room game where players write AI prompts to solve puzzles and escape themed rooms. It features 3 themed adventures — Indiana Jones, Harry Potter, and ClippyLand — with CSS art, animations, and a retro-gaming aesthetic. Built with Node.js + Express…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp integration. Copilot usage: copilot, github copilot. Checklist: 100% requirements, Reasoning & Multi-step Thinking: Reasoning patterns: , Creativity & Originality: Novelty signals: custom. Diverse technology combination: Frontend | HTML, CSS, JavaScript — CSS art & animations, retro-, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 18 sections. Setup instructions included
- **Improvements**: Reliability & Safety: No automated tests mentioned. Checklist confirms no hardcoded secrets. .gitignore present, Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Prompt Escape - The AI Escape Room  Craft the right prompts. Solve the puzzles. Escape. (creative-apps track, 71.7/100): Prompt Escape is a visual, prompt-engineering escape room game where players write AI prompts to solve puzzles and escape themed rooms. It features 3 themed adventures — Indiana Jones, Harry Potter, a

### #39: [CodeIntel](https://github.com/microsoft/agentsleague-techconnect/issues/39)
- **Track**: 🎨 Creative Apps
- **Score**: 71.1/100
- **Submitter**: [@Mazher-Ul-Haq](https://github.com/Mazher-Ul-Haq)
- **Repo**: [https://github.com/Mazher-Ul-Haq/codeintel](https://github.com/Mazher-Ul-Haq/codeintel)
- **Description**: CodeIntel — Team Intelligence Hub  CodeIntel transforms raw GitHub repository data and Microsoft 365 signals into actionable team intelligence. It combines an MCP server (8 tools for GitHub Copilot), a REST API, a real-time dashboard, and a CLI — all built in under 100 minutes using GitHub Copilot.…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp tool, mcp integration, mcp client. Copilot usage: copilot, github copilot, copilo, Reasoning & Multi-step Thinking: Reasoning patterns: multi-step. Error handling or recovery logic documented, Creativity & Originality: Novelty signals: first, original, unique, custom. Diverse technology combination: Built with: Node.js, MCP SDK, Express,, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 23 sections. Setup instructions included. Architecture d
- **Improvements**: Reliability & Safety: Security considerations: .env, credential, environment variable, gitignore. Error handling documented. No automated test, Consider adding automated tests, Consider adding architecture documentation
- **Summary**: CodeIntel (creative-apps track, 71.1/100): CodeIntel — Team Intelligence Hub

CodeIntel transforms raw GitHub repository data and Microsoft 365 signals into actionable team intelligence. It combines an MCP server (8 tools for GitHub Copilot), 

### #15: [Skills Hub](https://github.com/microsoft/agentsleague-techconnect/issues/15)
- **Track**: 🎨 Creative Apps
- **Score**: 71.1/100
- **Submitter**: [@samueltauil, @rleme](https://github.com/samueltauil, @rleme) (samuel.tauil, rodrigoleme)
- **Team**: samuel.tauil, rodrigoleme
- **Repo**: [https://github.com/samueltauil/skills-hub](https://github.com/samueltauil/skills-hub)
- **Description**: Copilot Skills Hub is a curated catalog of GitHub Copilot skills. Skills are instruction files (SKILL.md) that teach Copilot how to handle specific development tasks — from generating commit messages to performing security audits.
- **Strengths**: Reasoning & Multi-step Thinking: Reasoning patterns: react. Error handling or recovery logic documented. Minimal source: 1 files, UX & Presentation: Live demo URL available. Comprehensive README with 20 sections. Setup instructions included. Architecture diagram or flo, Reliability & Safety: Error handling documented. Testing documented (automated tests). Checklist confirms no hardcoded secrets. Claims tests b
- **Improvements**: Consider strengthening Accuracy & Relevance (scored 6/10), Consider strengthening Creativity & Originality (scored 6/10)
- **Summary**: Skills Hub (creative-apps track, 71.1/100): Copilot Skills Hub is a curated catalog of GitHub Copilot skills. Skills are instruction files (SKILL.md) that teach Copilot how to handle specific development tasks — from generating commit messages 

### #40: [AI Project Recap Storyboard](https://github.com/microsoft/agentsleague-techconnect/issues/40)
- **Track**: 🎨 Creative Apps
- **Score**: 70.0/100
- **Submitter**: [@huier23, dinowang, chhtw, Phonicdream](https://github.com/huier23, dinowang, chhtw, Phonicdream) (huihuan, yumwang, thhuan, yenjusu)
- **Team**: huihuan, yumwang, thhuan, yenjusu
- **Repo**: [https://github.com/where-is-my-org/Creative-Apps](https://github.com/where-is-my-org/Creative-Apps)
- **Description**: Recap Storyboard turns GitHub activity and local notes into a narrative recap with chapters, highlights, risks, and a timeline. It pulls PRs and commits for a chosen date range, blends in local notes that capture decisions, risks, and next steps, and generates a recap payload for a storyboard-style…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server. Checklist: 100% requirements met. Detailed description (629 chars), Reasoning & Multi-step Thinking: Reasoning patterns: react, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 12 sections. Setup instructions included. Architecture d
- **Improvements**: Creativity & Originality: Detailed project description with technical highlights. Multi-language: .py, .tsx, .ts. Only 2 commits, Consider strengthening Reliability & Safety (scored 6/10)
- **Summary**: AI Project Recap Storyboard (creative-apps track, 70.0/100): Recap Storyboard turns GitHub activity and local notes into a narrative recap with chapters, highlights, risks, and a timeline. It pulls PRs and commits for a chosen date range, blends in local notes 

### #29: [Upgrade Sage](https://github.com/microsoft/agentsleague-techconnect/issues/29)
- **Track**: 🧠 Reasoning Agents
- **Score**: 69.5/100
- **Submitter**: [@betanu701](https://github.com/betanu701)
- **Repo**: [https://github.com/Betanu701/UpgradeSage](https://github.com/Betanu701/UpgradeSage)
- **Description**: Many companies rely on legacy projects that lag several versions behind modern releases. When organizations finally attempt to upgrade, they often face a long, complicated migration path filled with unknown breaking changes and hidden risks. UpgradeSage solves this problem by analyzing differences b…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry. Checklist: 100% met. Communication/content scenario: content. Limited code: Re, User Experience & Presentation: Demo: screenshots. Detailed README (10 sections). Setup instructions present. Architecture or flow diagram included
- **Improvements**: Consider strengthening Reasoning & Multi-step Thinking (scored 6/10), Consider strengthening Creativity & Originality (scored 6/10)
- **Summary**: Upgrade Sage (reasoning-agents track, 69.5/100): Many companies rely on legacy projects that lag several versions behind modern releases. When organizations finally attempt to upgrade, they often face a long, complicated migration path filled with u

### #53: [Marketing Asset Creation Agent](https://github.com/microsoft/agentsleague-techconnect/issues/53)
- **Track**: 🎨 Creative Apps
- **Score**: 69.5/100
- **Submitter**: [@jetzlstorfer @stephan-nik](https://github.com/jetzlstorfer @stephan-nik) (jetzlstorfer, sniklas)
- **Team**: jetzlstorfer, sniklas
- **Repo**: [https://github.com/jetzlstorfer/marketing-asset-creation-agent](https://github.com/jetzlstorfer/marketing-asset-creation-agent)
- **Description**: Conference and meetup organizers struggle with incomplete, scattered, and outdated speaker profiles. Speakers submit partial bios late, and their information is spread across LinkedIn, GitHub, Twitter, and personal sites — delaying promotional efforts.  This project solves that with a multi-agent AI…
- **Strengths**: Accuracy & Relevance: MCP integration found: MCP mentioned in project. Copilot usage: copilot, github copilot, copilot sdk. Checklist: 100% re, Reasoning & Multi-step Thinking: Reasoning patterns: cot. Multi-agent architecture: multi-agent. Minimal source: 1 files, Creativity & Originality: Novelty signals: first, original, unique, custom. Diverse technology combination: Azure OpenAI, Azure MCP, Microsoft Fou, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 17 sections. Setup instructions included
- **Improvements**: Consider strengthening Reliability & Safety (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Marketing Asset Creation Agent (creative-apps track, 69.5/100): Conference and meetup organizers struggle with incomplete, scattered, and outdated speaker profiles. Speakers submit partial bios late, and their information is spread across LinkedIn, GitHub, Twitter

### #37: [Making money by poop](https://github.com/microsoft/agentsleague-techconnect/issues/37)
- **Track**: 🎨 Creative Apps
- **Score**: 69.5/100
- **Submitter**: [@bensonwugit](https://github.com/bensonwugit) (benswu, YENJUSU, thhuan, huihuan, yumwang)
- **Team**: benswu, YENJUSU, thhuan, huihuan, yumwang
- **Repo**: [https://github.com/bensonwugit/make_money_by_shit](https://github.com/bensonwugit/make_money_by_shit)
- **Description**: Start making money while pooping at work! 🚽💰 Ever wondered how much you've earned just by sitting on the toilet? This hilarious yet powerful app lets you track every poop, calculate your exact earnings, and optimize your bathroom breaks for maximum profit. Because let's face it—your time is money, a…
- **Strengths**: Accuracy & Relevance: Copilot usage: copilot, github copilot. Checklist: 100% requirements met. Detailed description (322 chars). Repo: 10 sou, Reasoning & Multi-step Thinking: Reasoning patterns: react, Creativity & Originality: Novelty signals: first. Detailed project description with technical highlights, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 32 sections. Setup instructions included
- **Improvements**: Consider strengthening Reliability & Safety (scored 6/10), Consider adding automated tests, Consider adding architecture documentation
- **Summary**: Making money by poop (creative-apps track, 69.5/100): Start making money while pooping at work! 🚽💰 Ever wondered how much you've earned just by sitting on the toilet? This hilarious yet powerful app lets you track every poop, calculate your exact earning

### #55: [kube-copilot](https://github.com/microsoft/agentsleague-techconnect/issues/55)
- **Track**: 🎨 Creative Apps
- **Score**: 68.3/100
- **Submitter**: [@openjny](https://github.com/openjny)
- **Repo**: [https://github.com/openjny/kube-copilot](https://github.com/openjny/kube-copilot)
- **Description**: kube-copilot is a terminal UI (TUI) that lets you manage Kubernetes clusters using natural language. Instead of memorizing complex kubectl flags and resource names, you simply describe what you want in plain English and let GitHub Copilot translate it to the right command. Built with the GitHub Copi…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server, mcp integration. Copilot usage: copilot, github copilot, copilot sdk, copilot chat. C, Reasoning & Multi-step Thinking: Reasoning patterns: multi-step, react, Creativity & Originality: Novelty signals: custom. Diverse technology combination: @github/copilot-sdk - LLM integration via GitHub Copilot CLI, @
- **Improvements**: Reliability & Safety: Security considerations: environment variable. No automated tests mentioned. Hardcoded secrets concern (checklist not co, Consider strengthening UX & Presentation (scored 6/10)
- **Summary**: kube-copilot (creative-apps track, 68.3/100): kube-copilot is a terminal UI (TUI) that lets you manage Kubernetes clusters using natural language. Instead of memorizing complex kubectl flags and resource names, you simply describe what you want i

### #9999: Test Project
- **Track**: 🎨 Creative Apps
- **Score**: 67.8/100
- **Strengths**: Good test coverage, Clean code
- **Improvements**: Needs better docs
- **Summary**: A solid test project.

### #30: [PolicyShield](https://github.com/microsoft/agentsleague-techconnect/issues/30)
- **Track**: 🎨 Creative Apps
- **Score**: 67.2/100
- **Submitter**: [@onsenturk](https://github.com/onsenturk)
- **Repo**: [https://github.com/onsenturk/PolicyShield](https://github.com/onsenturk/PolicyShield)
- **Description**: PolicyShield is a Next.js web app that enables enterprise policy-as-code. Regulations and controls evolve, so instead of relying on static built-in policies, customers can generate and own their compliance bundles. Users select a top regulation (or type one), Azure OpenAI extracts control requiremen…
- **Strengths**: Reasoning & Multi-step Thinking: Reasoning patterns: react, Creativity & Originality: Novelty signals: custom. Diverse technology combination: Next.js (App Router) and React, TypeScript, Tailwind CSS, Azure, Reliability & Safety: Security considerations: .env. Testing documented (automated tests). Checklist confirms no hardcoded secrets. 4 test fil
- **Improvements**: UX & Presentation: Screenshots provided in demo section. No README available (repo private or inaccessible), Consider strengthening Accuracy & Relevance (scored 6/10)
- **Summary**: PolicyShield (creative-apps track, 67.2/100): PolicyShield is a Next.js web app that enables enterprise policy-as-code. Regulations and controls evolve, so instead of relying on static built-in policies, customers can generate and own their compl

### #36: [AgentRob](https://github.com/microsoft/agentsleague-techconnect/issues/36)
- **Track**: 🎨 Creative Apps
- **Score**: 65.0/100
- **Submitter**: [@robrita](https://github.com/robrita)
- **Repo**: [https://github.com/robrita/standupbot](https://github.com/robrita/standupbot)
- **Description**: **Real-time voice-enabled AI Scrum Master** that facilitates daily standup meetings, collects structured updates from each team member, and delivers an actionable digest — powered by Azure Voice Live API and Azure AI Foundry.
- **Strengths**: Reasoning & Multi-step Thinking: Reasoning patterns: , Creativity & Originality: Novelty signals: custom. Diverse technology combination: Voice Live API, Microsoft Foundry LLM deployment, Azure Speech,, UX & Presentation: Screenshots provided in demo section. Comprehensive README with 9 sections. Setup instructions included
- **Improvements**: Reliability & Safety: No automated tests mentioned. Checklist confirms no hardcoded secrets. .gitignore present, Consider strengthening Accuracy & Relevance (scored 6/10)
- **Summary**: AgentRob (creative-apps track, 65.0/100): **Real-time voice-enabled AI Scrum Master** that facilitates daily standup meetings, collects structured updates from each team member, and delivers an actionable digest — powered by Azure Voice Live 

### #26: [Bridgenote](https://github.com/microsoft/agentsleague-techconnect/issues/26)
- **Track**: 🎨 Creative Apps
- **Score**: 63.9/100
- **Submitter**: [@kbeaver16](https://github.com/kbeaver16)
- **Repo**: [https://github.com/kbeaver16/bridgenote](https://github.com/kbeaver16/bridgenote)
- **Description**: BridgeNote — Project Description BridgeNote is a creative note‑transformation assistant designed for people who work across disconnected systems and constantly email themselves notes just to keep information in sync. Instead of juggling inboxes or manually reformatting content for OneNote or other t…
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server. Copilot usage: copilot, github copilot. Checklist: 100% requirements met. Detailed de, Reasoning & Multi-step Thinking: Reasoning patterns: react
- **Improvements**: Creativity & Originality: Diverse technology combination: Key technologies in this project:, Frontend: Next.js (React) with app router, Backend: N, UX & Presentation: Screenshots provided in demo section. No README available (repo private or inaccessible)
- **Summary**: Bridgenote (creative-apps track, 63.9/100): BridgeNote — Project Description
BridgeNote is a creative note‑transformation assistant designed for people who work across disconnected systems and constantly email themselves notes just to keep info

### #46: [PowerPoint Reviewer Agent](https://github.com/microsoft/agentsleague-techconnect/issues/46)
- **Track**: 🎨 Creative Apps
- **Score**: 63.3/100
- **Submitter**: [@akshaydmaq](https://github.com/akshaydmaq)
- **Repo**: [https://github.com/akshaydmaq/PowerPoint-Reviewer-Agent](https://github.com/akshaydmaq/PowerPoint-Reviewer-Agent)
- **Description**: An AI-powered agent that automatically reviews and corrects PowerPoint presentations using OpenAI GPT-4.  Features Spelling & Grammar Correction - AI-powered detection and fixing of errors Alignment Standardization - Automatically aligns titles and elements consistently Context-Aware Decisions - Use…
- **Strengths**: UX & Presentation: Screenshots provided in demo section. Comprehensive README with 14 sections. Setup instructions included. Architecture d
- **Improvements**: Creativity & Originality: Detailed project description with technical highlights. Minimal source: 3 files, Consider strengthening Accuracy & Relevance (scored 6/10)
- **Summary**: PowerPoint Reviewer Agent (creative-apps track, 63.3/100): An AI-powered agent that automatically reviews and corrects PowerPoint presentations using OpenAI GPT-4.

Features
Spelling & Grammar Correction - AI-powered detection and fixing of errors
Alignment S

### #48: [CommsGuard](https://github.com/microsoft/agentsleague-techconnect/issues/48)
- **Track**: 🧠 Reasoning Agents
- **Score**: 63.0/100
- **Submitter**: [@Akshay8870](https://github.com/Akshay8870) (sankhac , jaideeproy)
- **Team**: sankhac , jaideeproy
- **Repo**: [https://github.com/Akshay8870/bfsi-commsguard.git](https://github.com/Akshay8870/bfsi-commsguard.git)
- **Description**: CommsGuard AI is a multi-agent reasoning system built on Microsoft Foundry to help BFSI organizations create compliant, high-quality social media content. The system orchestrates four specialized agents: a Planner that decomposes campaign objectives into structured tasks, a Writer that generates pla…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, azure ai foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: social, Reasoning & Multi-step Thinking: ReAct signals: act. Self-reflection: self-reflection. Multi-step flow: multi-step, workflow, orchestrat. REPO NOT ACCESS
- **Improvements**: User Experience & Presentation: Video demo available. No README (repo inaccessible). REPO NOT ACCESSIBLE — scores penalized, Consider strengthening Creativity & Originality (scored 6/10)
- **Summary**: CommsGuard (reasoning-agents track, 63.0/100): CommsGuard AI is a multi-agent reasoning system built on Microsoft Foundry to help BFSI organizations create compliant, high-quality social media content. The system orchestrates four specialized agen

### #12: [Zava Content Studio — Social Media Content Agent](https://github.com/microsoft/agentsleague-techconnect/issues/12)
- **Track**: 🧠 Reasoning Agents
- **Score**: 58.5/100
- **Submitter**: [@lordlinus, @ganachan, @hieunhums](https://github.com/lordlinus, @ganachan, @hieunhums) (ssattiraju, ganac, hieunhums)
- **Team**: ssattiraju, ganac, hieunhums
- **Repo**: [https://github.com/lordlinus/hackfest-fy26](https://github.com/lordlinus/hackfest-fy26)
- **Description**: AI Content Studio — A multi-agent social media content creation system powered by Microsoft Agent Framework and Azure Durable Functions. Three specialized AI agents (Ideation, Creator, Reviewer) collaborate using Chain-of-Thought, ReAct, and Self-Reflection reasoning patterns to generate platform-op…
- **Strengths**: Reasoning & Multi-step Thinking: CoT pattern: chain-of-thought, cot, step-by-step reasoning. ReAct signals: react, act. Self-reflection: self-reflection., Creativity & Originality: Innovation signals: custom. Technology stack: Core Platform:, Azure Functions - Serverless compute for hosting the appli
- **Improvements**: Accuracy & Relevance: No explicit Foundry usage evidence. Checklist: 100% met. Communication/content scenario: social media, marketing, conten, User Experience & Presentation: Demo: screenshots. No README (repo inaccessible). REPO NOT ACCESSIBLE — scores penalized
- **Summary**: Zava Content Studio — Social Media Content Agent (reasoning-agents track, 58.5/100): AI Content Studio — A multi-agent social media content creation system powered by Microsoft Agent Framework and Azure Durable Functions. Three specialized AI agents (Ideation, Creator, Reviewer) colla

### #16: [FoundryReleaseScout](https://github.com/microsoft/agentsleague-techconnect/issues/16)
- **Track**: 🧠 Reasoning Agents
- **Score**: 54.5/100
- **Submitter**: [@JW-Sthlm](https://github.com/JW-Sthlm) (jwallquist)
- **Team**: jwallquist
- **Repo**: [https://github.com/JW-Sthlm/jw-hackfest/](https://github.com/JW-Sthlm/jw-hackfest/)
- **Description**: Enterprise AI Release Scouting Agent helps enterprise architects and partners stay current on Microsoft AI platform updates without marketing noise. The agent treats Microsoft Foundry blog posts as signals of change, then verifies each capability against authoritative Microsoft Learn documentation b…
- **Strengths**: Accuracy & Relevance: Foundry usage: foundry, microsoft foundry. Checklist: 100% met. Communication/content scenario: marketing, content. Grou
- **Improvements**: Creativity & Originality: Technology stack: Microsoft Foundry Agent Service – managed runtime to build, run, and govern enterprise AI agents, GPT‑, Technical Implementation: Code examples in README. NO SOURCE CODE in repo (4 files total)
- **Summary**: FoundryReleaseScout (reasoning-agents track, 54.5/100): Enterprise AI Release Scouting Agent helps enterprise architects and partners stay current on Microsoft AI platform updates without marketing noise. The agent treats Microsoft Foundry blog posts as si

### #21: [Deal to Glory](https://github.com/microsoft/agentsleague-techconnect/issues/21)
- **Track**: 🎨 Creative Apps
- **Score**: 53.3/100
- **Submitter**: [@billwhalenmsft](https://github.com/billwhalenmsft)
- **Repo**: [https://github.com/billwhalenmsft/agents-league-deal-to-glory**](https://github.com/billwhalenmsft/agents-league-deal-to-glory**)
- **Description**: Deal to Glory is a voice-first, multi-agent workflow that turns a seller's post-meeting sentence into a closed-loop CRM update, commission calculation, and manager recognition moment — all in under 5 seconds.  A seller says: "Just finished a call with Acme. Deal is now committed at 420K, closing mid…
- **Strengths**: Reasoning & Multi-step Thinking: Reasoning patterns: . Multi-agent architecture: multi-agent, orchestrat. Error handling or recovery logic documented. RE
- **Improvements**: UX & Presentation: Screenshots provided in demo section. No README available (repo private or inaccessible). REPO NOT ACCESSIBLE — scores p, Reliability & Safety: Security considerations: .env, credential. Error handling documented. No automated tests mentioned. Checklist confirms n
- **Summary**: Deal to Glory (creative-apps track, 53.3/100): Deal to Glory is a voice-first, multi-agent workflow that turns a seller's post-meeting sentence into a closed-loop CRM update, commission calculation, and manager recognition moment — all in under 5 

### #44: [Corporate Bullshit Translator](https://github.com/microsoft/agentsleague-techconnect/issues/44)
- **Track**: 💼 Enterprise Agents
- **Score**: 49.8/100
- **Submitter**: [@Aakanksha346](https://github.com/Aakanksha346)
- **Repo**: [https://github.com/Aakanksha346/corporate-bullshit-translator](https://github.com/Aakanksha346/corporate-bullshit-translator)
- **Description**: Corporate Bullshit Translator is an intelligent M365 Copilot agent that analyzes  meeting transcripts and corporate communications to identify vague business jargon  and translate it into clear, honest language.   The agent calculates a "Bullshit Score" (1-10) based on buzzword density and provides…
- **Strengths**: Technical Implementation: M365 integration: teams, m365. MCP: mcp, mcp server. Auth: authentication, oauth. Adaptive Cards: card, adaptive card, a
- **Improvements**: Business Value: Business value signals: business. Enterprise scenario: enterprise. Detailed business description. NO SOURCE CODE in repo, Innovation & Creativity: Microsoft Graph integration. NO SOURCE CODE in repo (6 files total)
- **Summary**: Corporate Bullshit Translator (enterprise-agents track, 49.8/100): Corporate Bullshit Translator is an intelligent M365 Copilot agent that analyzes 
meeting transcripts and corporate communications to identify vague business jargon 
and translate it into clear, hones

### #24: [STEMProjectGenerator](https://github.com/microsoft/agentsleague-techconnect/issues/24)
- **Track**: 🎨 Creative Apps
- **Score**: 41.6/100
- **Submitter**: [@getAlex](https://github.com/getAlex)
- **Repo**: [https://github.com/getalex/STEMProjectGenerator](https://github.com/getalex/STEMProjectGenerator)
- **Description**: A web solution to generate new STEM project ideas for kids.
- **Strengths**: Accuracy & Relevance: MCP integration found: mcp server. Checklist: 100% requirements met. Minimal source: 2 files
- **Improvements**: Reasoning & Multi-step Thinking: No explicit reasoning patterns or multi-step logic documented. Minimal source: 2 files, Creativity & Originality: Standard project concept. Minimal source: 2 files, UX & Presentation: No demo materials provided. No README available (repo private or inaccessible), Reliability & Safety: No automated tests mentioned. Checklist confirms no hardcoded secrets. .gitignore present
- **Summary**: STEMProjectGenerator (creative-apps track, 41.6/100): A web solution to generate new STEM project ideas for kids.

### #13: [SE Agent](https://github.com/microsoft/agentsleague-techconnect/issues/13)
- **Track**: 💼 Enterprise Agents
- **Score**: 40.0/100
- **Submitter**: [@Daboostr](https://github.com/Daboostr)
- **Repo**: [https://github.com/daboostr/SEDemoAgent](https://github.com/daboostr/SEDemoAgent)
- **Description**: My Agent will create demo leads in Dynamics 365 for FSI data model.  The agent can be customized to generate leads for any industry with a simple tweak to the prompt.
- **Strengths**: —
- **Improvements**: Technical Implementation: M365 integration: m365. Auth: sso. NO SOURCE CODE in repo (3 files total), Business Value: Enterprise scenario: workflow, process. NO SOURCE CODE in repo (3 files total), Innovation & Creativity: Technology stack: Copilot Studio, M365 Copilot, Dynamics 365 (Dataverse). Innovation signals: unique. Demo type: video. 
- **Summary**: SE Agent (enterprise-agents track, 40.0/100): My Agent will create demo leads in Dynamics 365 for FSI data model.  The agent can be customized to generate leads for any industry with a simple tweak to the prompt.

### #19: [My Awesome Architecture Executive Visualizer](https://github.com/microsoft/agentsleague-techconnect/issues/19)
- **Track**: 🎨 Creative Apps
- **Score**: 37.2/100
- **Submitter**: [@JochenMSFT](https://github.com/JochenMSFT) (joschr)
- **Team**: joschr
- **Repo**: [https://github.com/JochenMSFT/architecture-executive-visualizer](https://github.com/JochenMSFT/architecture-executive-visualizer)
- **Description**: My agent can automatically generate PowerPoint slides from technical artifacts.
- **Strengths**: —
- **Improvements**: Accuracy & Relevance: Copilot usage: copilot, github copilot, copilot sdk. Checklist: 100% requirements met. REPO NOT ACCESSIBLE — scores pena, Reasoning & Multi-step Thinking: Reasoning patterns: . REPO NOT ACCESSIBLE — scores penalized, Creativity & Originality: Standard project concept. REPO NOT ACCESSIBLE — scores penalized, UX & Presentation: Screenshots provided in demo section. No README available (repo private or inaccessible). REPO NOT ACCESSIBLE — scores p, Reliability & Safety: No automated tests mentioned. Checklist confirms no hardcoded secrets. REPO NOT ACCESSIBLE — scores penalized
- **Summary**: My Awesome Architecture Executive Visualizer (creative-apps track, 37.2/100): My agent can automatically generate PowerPoint slides from technical artifacts.

### #20: [Pokémon Memory Game](https://github.com/microsoft/agentsleague-techconnect/issues/20)
- **Track**: 🎨 Creative Apps
- **Score**: 30.6/100
- **Submitter**: [@PriyamvadaSharma](https://github.com/PriyamvadaSharma)
- **Repo**: [https://github.com/PriyamvadaSharma/HackFest](https://github.com/PriyamvadaSharma/HackFest)
- **Description**: A React-based memory card game built for the TechConnect Hack Fest Creative Apps challenge. Players flip cards to find matching Pokemon pairs from a 4x4 grid featuring 8 iconic Pokemon characters (Pikachu, Charizard, Dragonite, and more).   Key Features:  Single and multiplayer modes (1-2 players) S…
- **Strengths**: —
- **Improvements**: Accuracy & Relevance: Copilot usage: copilot, github copilot. Checklist: 100% requirements met. Detailed description (598 chars). NO SOURCE CO, Reasoning & Multi-step Thinking: Reasoning patterns: react. NO SOURCE CODE in repo (10 files total), Creativity & Originality: Diverse technology combination: Framework: React 18 + TypeScript, Build Tool: Vite 5, Styling: CSS3 (Gradients, Flexbox,, UX & Presentation: Video demo provided. No README available (repo private or inaccessible). NO SOURCE CODE in repo (10 files total), Reliability & Safety: No automated tests mentioned. Checklist confirms no hardcoded secrets. NO SOURCE CODE in repo (10 files total)
- **Summary**: Pokémon Memory Game (creative-apps track, 30.6/100): A React-based memory card game built for the TechConnect Hack Fest Creative Apps challenge. Players flip cards to find matching Pokemon pairs from a 4x4 grid featuring 8 iconic Pokemon characters (Pik

### #50: [Email Summarizer](https://github.com/microsoft/agentsleague-techconnect/issues/50)
- **Track**: 💼 Enterprise Agents
- **Score**: 29.9/100
- **Submitter**: [@akshaydmaq](https://github.com/akshaydmaq)
- **Repo**: [https://github.com/akshaydmaq/Email-Summarization](https://github.com/akshaydmaq/Email-Summarization)
- **Description**: An agent that reads the user's email inbox, summarizes emails, and identifies action items, prioritizing emails from customers list , low sentiment emails, and escalation emails for bugs and issues reported. This will help us to focus on what is most important/urgent mail to reply.
- **Strengths**: —
- **Improvements**: Technical Implementation: M365 integration: teams. NO SOURCE CODE in repo (2 files total), Business Value: Detailed business description. NO SOURCE CODE in repo (2 files total), Innovation & Creativity: Standard approach. NO SOURCE CODE in repo (2 files total)
- **Summary**: Email Summarizer (enterprise-agents track, 29.9/100): An agent that reads the user's email inbox, summarizes emails, and identifies action items, prioritizing emails from customers list , low sentiment emails, and escalation emails for bugs and issues re

### #10: [My Hackathon Project](https://github.com/microsoft/agentsleague-techconnect/issues/10)
- **Track**: 🎨 Creative Apps
- **Score**: 28.3/100
- **Submitter**: [@monikadubey](https://github.com/monikadubey)
- **Repo**: [https://github.com/moni0403/MyGitRepo](https://github.com/moni0403/MyGitRepo)
- **Description**: My Agent is just to get first prize for submission which actually does nothing
- **Strengths**: —
- **Improvements**: Accuracy & Relevance: Checklist: 100% requirements met. NO SOURCE CODE in repo (1 files total), Reasoning & Multi-step Thinking: Reasoning patterns: . NO SOURCE CODE in repo (1 files total), Creativity & Originality: Novelty signals: first. NO SOURCE CODE in repo (1 files total), UX & Presentation: Screenshots provided in demo section. Brief README (1 sections). No clear setup instructions in README. NO SOURCE CODE i, Reliability & Safety: No automated tests mentioned. Checklist confirms no hardcoded secrets. NO SOURCE CODE in repo (1 files total)
- **Summary**: My Hackathon Project (creative-apps track, 28.3/100): My Agent is just to get first prize for submission which actually does nothing