A useful AI-agent brief is a compact set of instructions that tells the agent what to produce, which information to trust, what limits it must respect, and when a person needs to decide. Treat “one page” as a way to prioritize—not as a proven ideal length. Keep any information the agent needs, even if that means the brief runs longer.
What belongs in an agent brief?
Organize the brief around six decisions. Together, they give the agent a target, reliable inputs, boundaries, and a standard for judging its work.
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1. Desired result
Describe the deliverable in one concrete sentence. Specify its scope and the questions it must answer. For a comparison, name the options and dimensions to compare; “compare these tools” leaves too much room for the agent to choose what matters.
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2. Trusted sources
Name the documents, records, or references the agent should rely on, and explain how it should handle gaps. For example: “Use the attached policy and current account records. If they conflict, flag the conflict; do not fill it with an assumption.” This helps keep task-specific answers grounded in the material you intended.
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3. Non-negotiables
Separate hard limits from preferences. A budget ceiling, compliance requirement, deadline, or technical standard is a constraint; a preference for brevity or a particular format may allow tradeoffs. If preferences conflict, identify which one takes priority instead of leaving the agent with competing directions.
4. Current situation
Include only present facts that could change the work: the relevant project status, audience, environment, or decisions already made. A useful test is: would removing this detail change the result? If not, leave it out or make the supporting material available for reference.
5. What good looks like
Explain the qualities that make the output useful, not just its format. Depending on the task, that could mean weighing tradeoffs, flagging risks, using plain language, distinguishing evidence from assumptions, or organizing recommendations by priority. Use examples if a short example will resolve an ambiguity better than another rule.
6. Human-review boundaries
Tell the agent what it may do independently, when it must ask, and what it must never do. A simple pattern is “always do, ask first, never do.” For instance, an agent may organize supplied records, ask before choosing between conflicting requirements, and never send a message or approve a purchase without authorization.
How to draft the brief
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Write the final deliverable as one specific sentence, then add scope or evaluation criteria that sentence cannot hold clearly.
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List the sources to use and what to do if they are incomplete, unavailable, or inconsistent.
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Mark hard constraints separately from preferences, and rank preferences that may compete.
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Add only current background that could alter the result. Keep other useful material accessible rather than copying its entire history into the brief.
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Describe the quality standard and output organization, then define when the agent should proceed, ask, or stop.
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Review the first result for a concrete misunderstanding. If an instruction was missing or ambiguous, revise the brief to address that failure rather than adding a long list of hypothetical edge cases.
How much context should you include?
Anthropic describes context as a finite resource and recommends selecting the smallest high-signal set that supports the desired outcome. “Smallest” does not mean leaving out necessary facts. Clear instructions, well-defined tools, and representative examples can help; ambiguous tools and exhaustive edge-case lists can consume attention without making the task clearer. See Anthropic’s guidance on context engineering for AI agents.
For ongoing work, an opening brief may not be enough. The agent may need to retrieve relevant information as the task develops, or preserve structured notes about decisions and open work when conversation history is compacted. On-demand retrieval can keep initial context focused, but it may add time and depends on the agent having suitable tools and instructions for finding the right material. Preloading context makes it immediately available but can make the initial brief less focused.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should the agent do when information is missing?
Make the response to uncertainty explicit. Routine gaps can be handled with a clearly labeled assumption if the brief permits it; consequential gaps should trigger a question, and prohibited actions should stop until a person approves them. OpenAI’s practical guide likewise recommends explicit behavioral instructions, concrete actions or outputs, smaller task steps, and guidance for incomplete information or unexpected requests. See the OpenAI guide to building agents.
For example, a brief might say: “If a source does not provide a requested figure, write ‘not stated’ and identify the missing source. Ask me before choosing between conflicting requirements. Do not contact customers or change records.” That is more useful than a general instruction to “use good judgment,” because it marks which decisions are routine and which belong to a person.
What a one-page brief can—and cannot—promise
A short brief is a practical discipline for deciding what the agent needs to know first. Anthropic’s Applied AI team puts the constraint plainly: “Context is a critical but finite resource for AI agents.” Read the full Anthropic engineering article for its discussion of context selection and retrieval.
The guidance supports careful task setup, not a claim that exactly one page improves results by a measured amount. Use one page as a starting target; expand it when a consequential constraint, necessary source, or human-review boundary will not fit clearly. The aim is not minimum length, but enough relevant direction without burying priorities in background.
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