Community-tested prompts with real feedback, version history, and freshness signals.
15 prompts
Structures a market sizing exercise with top-down, bottom-up, and sanity-check methods.
Builds a discovery call plan that uncovers business pain, urgency, decision process, and fit.
Reviews an opportunity for qualification gaps, stakeholder risk, competition, timing, and next actions.
Designs a lightweight personal operating system for tasks, notes, follow-ups, and review rituals.
Design a production-ready AI agent architecture from a business goal or automation idea.
Turn APIs and actions into agent tools that an LLM can call reliably.
Design an end-to-end retrieval-augmented generation system for grounded answers.
Turns an ideal customer profile into sharp messaging that speaks to real pains and buying triggers.
Frames pricing options using value, customer segments, competition, and willingness-to-pay evidence.
Design a secure remote MCP server with clean tools, resources, prompts, and authentication.
Compares competitor positioning and identifies differentiated messaging opportunities.
Create a concise system prompt for a tool-using AI agent with clear boundaries and behavior.
Turns a complex decision into a concise memo with options, tradeoffs, and a recommendation.
Turns a broad question into a rigorous research plan with subquestions, sources, and synthesis steps.
Builds a practical topic cluster around a commercial or informational theme.
