Specify AI-Assisted Work Before You Ask for More Code

Adapted for Binomial from Ravi Singh’s RACES + S: The Product Manager’s Prompt Framework for 2026, originally published January 27, 2026.

A vague request can produce an impressively detailed response. That is a problem when the detail conceals unresolved scope. An assistant asked to improve an onboarding flow might redesign screens, add dependencies, or change permissions when the actual task was to diagnose one failed invitation.

Ravi Singh’s RACES + S framework makes role, action, context, expectations, subject, surface, background, and stakes explicit. For engineering teams, it can become a compact work brief that travels from the person requesting a change to the assistant, implementer, and reviewer.

Define the decision and the deliverable

The role sets the perspective needed for the work. Reviewing a migration for recovery risk calls for different questions than designing a first-time user experience. A role instruction should focus the analysis; it does not establish expertise or replace review by the people responsible for the system.

The action defines the primary task. Use a concrete verb and an observable deliverable: diagnose a failure, compare two approaches, implement an approved change, or review a diff. If diagnosis and implementation are both needed, define when evidence is sufficient to move from one to the other.

For a failing invitation workflow, ask for a reproduction and an explanation of the failure before asking for a patch. That sequence gives the reviewer a basis for judging whether the change addresses the cause.

Supply context from the actual system

Include the relevant files, interfaces, operating conditions, and previous attempts. Explain which information is authoritative and which is uncertain. Current error output should carry more weight than a remembered explanation of a similar incident.

Identify the subject being changed, the surface where it appears, and the environment around it. An invitation inside a multi-tenant admin console has different constraints from a public signup form. Tenant boundaries, permitted roles, email delivery, and duplicate requests belong in the brief when they affect the behavior.

Keep context focused. A collection of outdated documents can increase confusion if the assistant cannot distinguish current contracts from historical proposals. Link to the relevant source and name any known discrepancy.

Make expectations reviewable

Specify the output format and the boundaries of the change. For implementation, expectations should include the behavior to preserve, dependency restrictions, and the evidence needed before declaring the task complete. For analysis, ask for uncertainty and competing explanations alongside the recommendation.

A useful rejection condition is simple: if required evidence is missing, identify it before asserting a cause. Another is to stop at a scope boundary when the proposed fix would change authorization or a public API. These conditions give the assistant a way to expose a problem in the brief instead of silently inventing an answer.

Acceptance checks should follow the product contract. They need to describe what a user or caller can observe, including the important failure paths. Repeating the implementation in a test does little to challenge a mistaken assumption.

State the stakes in operating terms

Describe what could go wrong and who would be affected. A cosmetic adjustment and a permissions change need different validation. Concrete stakes help the team choose the depth of review, the rollout approach, and the recovery plan.

Do not inflate urgency to improve a prompt. If the impact is unknown, record it as unknown and investigate. A precise account of risk is more useful than a dramatic claim.

A brief for an invitation failure

• Role and action: investigate why an authorized administrator cannot invite a member; return a reproduction and a bounded fix.
• Context: use the current request trace, invitation handler, role policy, and existing membership tests.
• Subject and surface: the invitation workflow in the tenant admin console; preserve tenant isolation and the existing role model.
• Expectations: identify missing evidence; reuse existing utilities; validate duplicate invitations, denied access, and delivery failure.
• Stakes: unintended access would cross a customer boundary; uncertainty about email delivery must remain visible to the operator.

The brief is useful when another person can review the result against it. Update the context and acceptance checks if investigation changes the understanding of the problem. Keep that change visible rather than letting the task drift.

Use specification quality as a coaching opportunity

The AI Engineering Readiness Assessment can connect unclear work boundaries with coaching, team practices, and repository-readiness priorities. A sample of tasks, changes, and review discussions helps test whether better briefs could reduce avoidable correction.

GitHub-observable review patterns may suggest a coordination problem. They cannot show the contents or quality of an AI prompt without a separately provided source. Treat specification quality as a question to investigate with the team, and validate any claimed improvement through comparable work and explicit evidence.