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How to delegate work to AI without losing track

Delegate a useful piece of work to AI with a clear brief, checkpoints, and a definition of done. Includes a project delegation template and review example.

By TalentOS

A project lead and an AI companion review a project folder beside an unfinished model and a reference.

To delegate work to AI without losing track, define the outcome, supply the necessary inputs, and agree on what needs review before the agent continues. Give the work a human owner and a visible definition of done. The best first task is a useful piece of a project that someone can actually check.

“Help with sales” leaves too much undecided. “Prepare a first draft of the proposal using these discovery notes, with unsupported claims marked for review” gives the agent a job and gives you a way to judge the result.

Delegation works when the person receiving the output knows what they are looking at. A finished draft, a recommendation, and an action already taken are three different states.

Choose a task with a reviewable finish line

Start by naming the thing you want to open at the end: a research brief, a spreadsheet, a proposal, or a list of options with evidence. Then name the decision that output will help someone make.

A useful first delegation might be a proposal outline rather than the entire sales process. You can inspect its sources, assumptions, and missing sections before a customer sees it.

If you cannot explain how you would review the result, narrow the job. Asking an agent to “make the business better” does not give it a finish line, and it does not give you one either.

Write the brief before the agent makes a plan

Use this template with your own project details:

Outcome: What should exist when this is finished?

Audience and decision: Who will use it, and what will they decide?

Inputs: Which sources should the agent use? Which source wins if they disagree?

Constraints: What must stay within scope, and what is outside it?

Definition of done: What must a reviewer be able to verify?

Checkpoint: When should the agent return with a draft, question, or recommendation?

Owner and reviewer: Who owns the work, and who accepts the result?

An illustrative proposal brief could say: “Use the supplied discovery notes and approved service description. Produce a two-page draft explaining the problem, proposed scope, exclusions, and open questions. Leave price blank. Return an outline first. Do not contact the prospect.”

That brief removes several decisions the agent might otherwise guess: which sources to trust, how long to write, whether to invent a price, and whether the task includes sending.

Put checkpoints where mistakes would become expensive

You do not need to review every sentence as it appears. Review the choices that would make later work costly to redo.

For a proposal, check the outline and scope before the agent writes the full document. For a spreadsheet, check the inputs and calculation method before polishing the presentation. For a customer-facing action, review the exact content and audience before it happens.

Ask the agent to return early when a required source is missing, two instructions conflict, or a decision falls outside the brief. “Pause with the specific missing input” is more useful than either constant check-ins or silent improvisation.

Give the project one place to show its current state

When several people are involved, private agent chats can create separate versions of the assignment. One person changes the scope while another keeps reviewing an old plan.

In TalentOS, a Room is a shared space for a project, client, or team. Use it for the brief, the current recommendation, and the decisions people need to share. People can bring Claude Code or Codex into that work today.

Keep a short status note in the conversation: what is finished, what is waiting, what changed, and who owns the next step. This is a suggested working practice; it does not depend on a particular dashboard or automatic status feature.

When the work crosses owners, use an explicit handoff. The next person should not have to reconstruct the assignment from every message that came before it.

Accept the work by checking it

Open the output. Compare it against the brief. Follow its sources, inspect its assumptions, and ask whether it helps the intended reader make the intended decision.

For the proposal example, acceptance means the scope matches the approved service, every prospect-specific statement comes from the supplied notes, price remains unresolved, and a reviewer can identify the next decision. A polished layout alone does not satisfy those checks.

Use the team review guide when more than one person needs to accept the output. Keep “draft accepted” separate from permission to take an external action. TalentOS write actions can require human approval, and money movement, irreversible actions, and calendar writes always ask.

After one completed job, change the brief using the mistakes you actually saw. If the method keeps working, save it as a reusable skill. Delegating the next project should become easier because the instructions improved, not because everyone learned to interpret the same vague request.