Analyzes text for overused industry jargon, returning buzzword count, density score, severity level, and flagged terms. Optionally provides humorous critique in roast mode.
AI safety evaluation toolkit that scores text for care-centered alignment, detects threats like jailbreaks, and certifies AI responses against a 16-probe framework. It enables users to analyze relationship health, predict burnout risk, and ensure ethical AI interactions.
Provides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.
Classifies text into structured semantic units with authority, risk, and attention scores. Enables deterministic preprocessing for AI agents to filter and route content without using an LLM.
Translate between corporate jargon and plain English with customizable direction and tone (passive-aggressive, enthusiastic, defeated). Also provides interpretation tips.
Enables AI agents to analyze whether they should send an email, evaluating passive aggression and regret probability with a recommendation heavily weighted toward no.