Context Engineering Template for an AI Task Brief

A context engineering template organizes what an AI needs for a task: the outcome, limits, reliable sources, approved decisions, current progress, and evidence required to finish. Copy the structure below, fill in only relevant details, and refresh the changing parts before another session starts.

A reusable structure saves you from rebuilding the explanation whenever a conversation ends. Tools like fenbs keep project rules and progress outside any one AI app, so connected assistants can read the current record rather than a forgotten copy.

What can you copy into your next AI task?

Start with this plain text version. Brackets mark information you supply; delete fields that do not apply. Put a clear stop condition beside anything the assistant cannot decide, such as publishing a page or changing an approved requirement.

TASK
Goal: [What useful outcome should exist?]
Audience: [Who will use it?]
Deliverable: [File, answer, draft, or other output]

SCOPE AND AUTHORITY
Allowed changes: [Specific files, records, or actions]
Outside scope: [What must stay untouched]
Human approval needed for: [Actions or unresolved choices]

RULES AND DECISIONS
Standing rules: [Current instructions and their scope]
Approved choices: [Who chose what, why, and where recorded]
Open questions: [Unknowns; do not treat them as facts]

SOURCES
Required: [Source, location, version/date, relevant section]
Load if needed: [Additional references and when to consult]
Conflicts: [Who resolves disagreements; ask if unclear]

CURRENT STATE
Completed: [What changed and evidence]
Unverified: [What still needs checking]
Next step: [Where to begin]

COMPLETION
Checks: [Observable tests or review criteria]
Report: [Output location, results, limitations]
Before stopping: [Save progress and unresolved questions]

Ask the assistant to identify missing inputs before it acts. A statement such as “use the approved design” is incomplete if you have not named its location. A task can be clear to you and still lack the one source another session needs.

Add a review date or source version when a field can go stale. If a linked policy changes, revisit the task before reusing an old answer. You do not need to copy the entire policy; you need enough information to identify which version supported the work and who should resolve a mismatch.

How do you fill the fields without adding clutter?

Write the outcome as an observable result. “Improve onboarding” leaves room for incompatible interpretations. “Draft a welcome email that explains the first three actions for a new customer” gives the assistant an output you can inspect.

Separate facts from instructions. A source might describe an old product flow; your rule might require approval before changing the current flow. Labeling both prevents a descriptive document from quietly becoming permission to act.

• Goal: name one result, its audience, and its destination.
• Scope: say what the assistant may change and where it must stop.
• Rules: include instructions that actually apply to this task.
• Sources: give a usable location and explain which question each source answers.
• Progress: distinguish completed work from a proposed approach.
• Checks: describe evidence a reviewer could verify independently.

Anthropic recommends clearly separated instructions and selectively loaded context in its context engineering guidance↗ (opens in a new tab). The template turns that principle into a repeatable writing habit. It does not require a particular model or an elaborate software setup.

For terminology, see the distinction between context and prompt engineering. Keep the template focused on assembling task information; rewriting every sentence of a prompt is a separate exercise.

What does a filled example look like?

Say a small design studio wants a draft explaining a revised customer intake form. The example below keeps the approved decision separate from the writing task. It also makes clear that producing copy does not authorize changing the form or contacting customers.

TASK
Goal: Explain the shorter intake form to existing customers.
Audience: Customers scheduling a first design consultation.
Deliverable: An email draft in our shared document.

SCOPE AND AUTHORITY
Draft copy only. Do not send email or edit the live form.
Do not promise response times that are absent from the policy.

RULES AND DECISIONS
Use US English and a direct, friendly tone.
The studio owner approved removing the optional budget field.
Source: project decision “Shorter consultation intake.”
Whether to mention future form changes remains undecided.

SOURCES
Required: current form text and approved intake decision.
Load if needed: studio voice guide for wording examples.

CURRENT STATE
The form wording is approved. No email draft exists yet.
Start by checking that both required sources are available.

COMPLETION
Explain what changed and what customers should do next.
Check every factual statement against the required sources.
Return the draft and list unanswered questions.
Save the draft location and pending review before stopping.

Replace example locations with actual links before using this. Ask for a short source check alongside the draft: which statements came from the form, which came from the decision, and which need a person to confirm. This makes review faster without requesting a transcript of the assistant’s internal reasoning.

Which parts should stay stable between sessions?

Keep stable rules with the project and changing progress with the task. A tone rule might apply for months. “The draft is waiting on review” should change when review happens. Mixing them makes old status look like a permanent instruction.

Record the owner and scope of important choices. If a person replaces an earlier decision, preserve the replacement relationship instead of leaving two equally authoritative instructions. An assistant should raise an unresolved conflict rather than choose whichever sentence appeared last.

Keep sensitive information out unless it is necessary and your organization permits the use. The NIST AI Risk Management Framework↗ (opens in a new tab) treats AI risk management as an ongoing activity across a system’s use. A filled template is a working aid, not evidence that privacy or professional duties have been satisfied.

In fenbs, Decisions and rules hold the lasting choices while task plans and Where we left off describe current work. See how fenbs organizes that context when you need the same separation across assistants.

How can you check that the template actually helped?

Run a fresh-session test before trusting the setup with a larger task. Give a new conversation the filled context sheet and the named sources. Ask it to state the deliverable, the forbidden actions, and the next step in a few sentences.

Then inspect a small output. Does it cite the right source? Did it preserve the approved choice? Did it say what remains unverified? If it invents missing details, strengthen the uncertainty field and require a question when evidence is absent.

Before reusing the completed structure, remove temporary instructions from the previous task. An old request to draft only an outline should not limit a later request for a finished document. Keep a clean reusable version and let each task carry its own audience, output location, and approval status.

Change one part at a time so you can tell which adjustment helped. For a repeatable scoring method, use the workflow benchmark guide. For tool-using work, the existing guide to context engineering for AI assistants explains the broader context cycle.

How to do this with fenbs

1. Create a free account, then add the project you want to try. One person can start free, with no credit card.
2. Save the reusable structure in Skills and prompts. Add the current task, with its problem in the note and the approach in its plan.
3. Record human-approved choices in Decisions and rules. Add source locations to Links and listings, with enough description to find the right reference.
4. Follow the guide for your supported AI app on Integrations. Ask the assistant to read the project context and the saved structure before working.
5. Review the output against the completion checks. Ask the assistant to save progress, unresolved questions, and the next step in Where we left off.

fenbs is not the right fit if all you need is a one-time prompt with no ongoing work record. A text document can hold this template; fenbs becomes useful when decisions, tasks, and handoffs need to stay available across connected assistants.

Keep the first version small and use it on a real task today. For more ways to select and maintain context, browse the context engineering guides. Expand the structure only when a concrete misunderstanding shows you what is missing.