Turns a short description into a concrete plan to design an agent that coordinates with external APIs under rate limits, with assumptions called out instead of silently guessed.
#agent-that
Helps you design an agent that explains its reasoning to end users quickly, while still surfacing the open questions a real version of this work would need answered.
A ready-to-use prompt to design an agent that drafts and revises documents iteratively, producing a structured draft you can act on directly rather than a vague suggestion.
Turns a short description into a concrete plan to design an agent that validates its own output before returning it, with assumptions called out instead of silently guessed.
Helps you design an agent that learns from user corrections within a session quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design an agent that maintains a running task list, with assumptions called out instead of silently guessed.
Helps you design an agent that plans then critiques its own plan quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design an agent that escalates to a human on low confidence, with assumptions called out instead of silently guessed.
Helps you design an agent that summarizes its own actions for audit quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design an agent that asks clarifying questions before acting, with assumptions called out instead of silently guessed.
Turns a short description into a concrete plan to design an agent that reconciles conflicting tool outputs, with assumptions called out instead of silently guessed.
Turns a short description into a concrete plan to design an agent that safely executes code in a sandbox, with assumptions called out instead of silently guessed.