bette-think

Calculate AI feature costs and challenge if you actually need it before building

Pre-launch health check that blocks you from shipping broken AI features - checks 6 dimensions

Research a single competitor thoroughly - positioning, features, pricing, UX, GTM strategy

Generate AI evaluation test cases using the PM-Friendly Evals approach - start with 20 cases

Analyzes Linear workspace health against methodology best practices with explicit thresholds

Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.

Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.

Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.

Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.

Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).