Search across all Mike DelPrete podcast transcripts for topics, quotes, metrics, or advice.

Use this tool to find what industry leaders have said about specific topics in real estate, mortgage, and proptech.

Args:

• query (string): Search terms (e.g., "mortgage attach rate", "agent retention", "AI in real estate")

• limit (number): Max results to return (default: 5, max: 10)

Returns: Matching transcript excerpts with episode info, guest name, and relevant quotes.

Examples:

• "mortgage attach rate" → finds discussions about mortgage integration success rates

• "agent equity ownership" → finds eXp and Real Brokerage discussions

• "cost of origination" → finds Stratmore Group data on mortgage economics

List all available podcast episodes with guest names, dates, and topics.

Use this to browse what's available or find a specific episode.

Args:

• filter (string, optional): Filter by guest name, topic, or keyword

• limit (number): Max results (default: 20)

• offset (number): Skip this many results for pagination (default: 0)

Returns: Episode list with id, guest, title, date, and word count.

Read the full or partial transcript of a specific podcast episode.

Use this to deep-dive into a specific conversation. Use mikensey_list_episodes or mikensey_search first to find the episode id.

Args:

• episode_id (string): Episode slug (e.g., "justin-messer-hand-to-hand-combat-in-mortgage")

• offset (number): Start reading from this line number (default: 0)

• limit (number): Number of lines to return (default: 200)

Returns: Episode transcript text with metadata.

Look up real estate, mortgage, and proptech industry benchmarks and metrics from podcast conversations.

Contains specific numbers cited by industry leaders: attach rates, origination costs, agent productivity, growth rates, conversion rates, and more.

Args:

• query (string, optional): Filter benchmarks by keyword (e.g., "mortgage", "agent", "cost")

Returns: Benchmark data with metric name, value, context, and source.

Examples:

• "attach rate" → mortgage attach rate benchmarks from Prosperity, industry averages

• "cost" → origination costs, marketing costs, compliance costs

• "agent" → agent counts, growth rates, retention metrics

• No query → returns all benchmarks

Browse two categories of frameworks available in Mikensey:

1. Industry Frameworks — Mental models extracted from podcast conversations (e.g., 3-Lever Consumer Value Model, Brokerage Pretzel, Agent Value Equation, W-H-Y mortgage sales)

2. Consulting Frameworks — McKinsey-style analytical tools you can apply to any problem (2×2 Matrix, SCR, Issue Trees, Porter's Five Forces, Value Chain, MECE)

Args:

• audience (string, optional): Filter industry frameworks by target audience — "agents", "mortgage", or "founders"

• type (string, optional): Filter by framework type — "industry" (from podcasts) or "consulting" (McKinsey toolkit) or "all" (default)

Returns: Framework name, description, when to use, and examples.

To actually APPLY a consulting framework to your specific situation, use mikensey_analyze.

Apply a McKinsey-style consulting framework to a business problem using real estate industry data.

This is Mikensey's signature tool. It doesn't just search transcripts — it THINKS like a consultant. Choose a framework, describe your situation, and get a structured strategic analysis backed by real industry evidence.

Available frameworks:

• "2x2": 2×2 positioning matrix — plot options across two dimensions to reveal strategic positioning

• "scr": Situation-Complication-Resolution — structure a recommendation as an irrefutable argument

• "issue_tree": Issue Tree — decompose a complex problem into MECE sub-problems with testable hypotheses

• "porters": Porter's Five Forces — analyze competitive dynamics and industry attractiveness

• "value_chain": Value Chain Analysis — map where value is created and captured, find integration opportunities

• "mece": MECE Breakdown — structure any analysis to be mutually exclusive and collectively exhaustive

Args:

• framework (string): Which consulting framework to apply

• situation (string): Describe your business context, challenge, or question

• role (string): Your role — "agent", "broker", "mortgage_pro", or "founder"

• custom_axes (string, optional): For 2×2 only — specify custom axes (e.g., "Growth Rate vs. Profitability")

Returns: A structured strategic analysis using the chosen framework, populated with real industry benchmarks, quotes from leaders, and specific recommendations.

Get a McKinsey-style strategy brief structured as Situation-Complication-Resolution (SCR), grounded in real industry data from 53 podcast episodes.

This is the executive-ready output tool. It generates a complete strategy memo using the SCR framework:

• SITUATION: Undeniable facts about the current state (backed by benchmarks)

• COMPLICATION: What has changed or is broken (backed by transcript evidence)

• RESOLUTION: Specific recommendations with supporting data

For deeper analysis with specific frameworks (2×2, Issue Trees, Porter's, etc.), use mikensey_analyze instead.

Args:

• role (string): Your role — "agent", "broker", "mortgage_pro", or "founder"

• situation (string): Describe your business situation and challenge in detail

• topic (string, optional): Focus area — "growth", "retention", "mortgage", "tech", "differentiation", "profitability"

Returns: An SCR-structured strategy brief with benchmarks, evidence, and specific recommendations.