Give an AI agent a compact brief that defines the deliverable, trusted sources, hard constraints, relevant current facts, quality standards, and human-review boundaries. Keep it to one page when that helps you prioritize; no cited source establishes one page as a proven ideal length or guarantees better results. The goal is enough context to guide the work without burying important instructions.
What belongs in an AI agent brief?
Write the brief for the specific task, not as a general profile of your organization. Six parts cover the decisions an agent needs to make:
- Desired result: Name the deliverable and what it must cover. For a comparison, identify the options and the dimensions to assess.
- Trusted sources: Point to the documents, records, or references the agent should rely on. Say how it should flag gaps instead of filling them with assumptions.
- Non-negotiables: State hard limits such as a budget ceiling, deadline, compliance requirement, or technical standard. Separate these from preferences.
- Current situation: Include only the present facts that could change the work, not the full history.
- What good looks like: Describe quality beyond the output format—for example, weighing tradeoffs, surfacing risks, and writing in plain language.
- Human-review boundaries: Specify what the agent may do independently, what requires approval, and what it must not do. A simple structure is “always do,” “ask first,” and “never do.”
When deciding whether background belongs, ask whether removing it could change the result. If not, leave it out. If preferences conflict, identify which one matters most rather than leaving the agent to resolve competing directions without guidance.
How much context should you provide?
Anthropic describes context as a finite resource and recommends selecting the smallest high-signal set that still supports the desired outcome. Its guidance does not mean stripping away necessary facts: an agent cannot follow a constraint or use a source it cannot access. Clear instructions, usable tools, and representative examples can help; excessive edge-case lists or ambiguous tools can consume attention without clarifying the task. Anthropic’s context-engineering guidance frames this as managing the information available to a model over the course of its operation, not merely polishing one prompt.
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For work that spans multiple steps, the initial brief may not be enough. The agent may need to retrieve relevant information as it goes, or maintain structured notes that preserve decisions and open work. Retrieving context on demand can keep the initial prompt focused, but it may add time and depends on the quality of the retrieval tools and instructions. Preloading information makes it immediately available but can crowd the working context. Choose based on what the task needs, rather than treating either approach as universally better.
For more involved workflows, Anthropic’s Applied AI team puts the tradeoff plainly: “Context is a critical but finite resource for AI agents.” Concision is useful only when it preserves the information required to do the work.
How to draft the brief
- Write the deliverable in one sentence. Make the requested output concrete enough that someone could tell whether it was produced.
- Name the sources and gap-handling rule. Identify what to trust and tell the agent to report missing or conflicting information rather than silently guessing.
- Separate facts, constraints, and preferences. Mark which limits cannot be crossed and which preferences may yield if they conflict.
- Add only decision-relevant current facts. Include facts that could alter the result; omit background that would not.
- Define quality and organization. State what the output should prioritize and how it should be presented.
- Set proceed, ask, and stop rules. Let the agent handle routine choices, ask a person about consequential gaps, and stop before prohibited or unchecked actions.
OpenAI’s agent guidance likewise recommends explicit behavioral instructions and guardrails, breaking work into smaller steps, defining concrete actions or outputs, and addressing common edge cases such as incomplete information or unexpected requests. Where operating documents already explain a process, adapt the relevant instructions into clear agent-facing directions rather than assuming the agent will infer them.
What should the agent do when information is missing?
Do not leave “use your judgment” to cover every kind of uncertainty. Tell the agent which gaps it can handle with a stated assumption, which ones it should bring to you, and which ones require it to stop. For example, it might proceed with a clearly labeled assumption about a minor formatting choice, ask before choosing between conflicting business priorities, and stop rather than send a message or approve a consequential action without authorization.
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Keep this boundary tied to the consequences of the choice. A missing detail that does not change the substance may be safe to flag and work around. A missing source, unclear requirement, or decision that could create a compliance or financial impact needs a clearer escalation path. Explicit guardrails help the agent recognize that these are different cases.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should you improve a brief after the first result?
Review the result for recurring misunderstandings. If the agent repeatedly misses a source, confuses a preference with a hard limit, or proceeds past a decision that needed approval, revise the brief to make that instruction concrete. Treat an observed failure as evidence that the brief or workflow needs clarification—not as proof that adding more words will always help.
There is no measured performance gain established for a one-page brief in the cited guidance. One page is a useful discipline for prioritizing, not a scientifically validated length. Use more space when a task genuinely needs more instructions or source material, and keep that additional context organized and accessible.
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