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A Field Guide to Fable: Finding Your Unknowns
Using Claude to rigorously identify 'unknowns' before executing long-horizon tasks can prevent cascading errors in complex engineering projects.
What: The author advocates for using LLMs as conversational partners to brainstorm, conduct 'interviews' with, and prototype solutions for a task before code is written. This process forces the user to map out the territory and uncover missing context that causes agents to fail.
Why it matters: Most agentic failure is not due to model capability, but failure to define scope and edge cases at the start of a multi-step task.
Takeaway: Before tasking an AI with a multi-day project, dedicate 30 minutes to a 'pre-mortem' chat with the agent where it acts as a critic to identify your hidden assumptions.
Original article
A Field Guide to Fable: Finding Your Unknowns
Working with Claude Fable 5 keeps re-teaching me an old lesson: the map is not the territory. The map, a representation of the work to be done, is my prompts and skills and context, it’s what I give...
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