The AI Agent Factory

5.6 Adapt the brief to the task type

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stable
3 min read
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Panaversity
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Panaversity ·

In everyday life. Asking friends for vacation ideas is different from booking the flight you chose.

At work. Asking for ways to avoid late fees needs a loose brief. Pulling the fields out of invoices needs the tightest one.

The four parts never change. How tightly you set them does. A tight brief fixes exactly what the answer must look like. A loose one leaves room for the worker's own ideas. Either way, give the worker the context, limits and sources the task needs, every time. Only the shape of the answer gets tighter or looser.

Task typeTightenLeave openIf you do the opposite
ResearchScope (what to cover), source types, datesThe answerYour own assumptions, handed back to you
AnalysisThe data, the definitions, the exact questionThe conclusionAn analysis that just agrees with the question
DraftingAudience, length, structure, facts, voiceWording and order within the structureA well-written draft of the wrong thing
ExtractionEvery field, its type, how to mark a missing valueNothingInvented values that look real
BrainstormingThe problem, the audience, what to avoidStructure, tone, lengthFive rewordings of one idea

Two more rules go with the table. For research and analysis, never present the conclusion you hope for as already true, because a worker that sees it tends to find it. If you have a hypothesis, a guess of your own, state it as something to test, and ask for evidence for and against.1 For extraction, tell the worker to leave a field blank and flag it instead of guessing. A guessed invoice number looks exactly like a real one. Technical tasks follow the same rows. Turning invoices into JSON records that a system checks is extraction at its tightest. JSON is a file format that programs read. Name the schema (the fields the system expects and the type of each), and what to return when a value is missing.

Check yourself

Question 1 / 8 · blueprint

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In a research brief, what should you leave open?

  1. AI Prompting in 2026, Panaversity, first edition.↑

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