Technology
An AI Workflow: Brief, Draft, Verify, and Deliver
Build an AI workflow around approved inputs, a clear brief, source verification, and final review. Measure the full effort, including corrections.
An AI workflow needs a clear starting point and a visible finish. Define the task, provide permitted information, review the output, and decide whether it is ready to use.
Correction, September 22, 2026: The previous article invented a personal daily workflow and claimed past mistakes had been prevented. This is a proposed process, not a usage diary or measured productivity result.
1. Write a short brief
Name the audience, required result, source material, constraints, and acceptance criteria. Separate supplied facts from things that need research. If a deadline, price, or approval is unknown, mark it unknown.
A hypothetical brief might ask for a one-page summary of an approved public report, with a source link for each numerical claim and a separate list of unanswered questions. It should not ask the tool to fill gaps with plausible details.
2. Check what information can enter the tool
Review the service, account settings, organizational policy, and client agreement. Use only approved material. Do not assume that personal, business, and API accounts have identical data handling.
For a new workflow, synthetic input is often enough to check whether the format is useful. Keep credentials and unrelated private documents out of it.
3. Ask for a draft you can inspect
Choose a format that exposes the work: a checklist, an outline, a table of claims and sources, or a small code diff. Avoid an instruction that mixes research, sending messages, changing records, and publication into one unreviewed step.
The task may need several passes. A second answer can improve a draft, but it does not count as independent verification just because it sounds more confident.
4. Verify according to the task
| Output | A useful check |
|---|---|
| Summary | Compare claims, qualifications, and omissions with the original |
| Calculation | Recalculate with known inputs and units |
| Research brief | Open the cited sources and check their scope and date |
| Code | Inspect changes and run checks for the required behavior |
| Client message | Verify facts, recipient, permissions, and commitments |
For high-stakes professional decisions, involve someone qualified to evaluate the substance. Review cannot be reduced to proofreading.
5. Deliver deliberately
Remove unsupported claims and label hypothetical examples. Check attachments, recipients, links, and any changes to shared information. Obtain the required approval before an external action, then verify that the action produced the intended result.
Keep a brief record of the inputs, tool information, checks, and unresolved limitations when the work warrants it. If the tool failed, say what failed rather than turning the attempt into a success story.
6. Measure the complete effort
Count setup, generation, review, correction, and rework. Compare a representative task with the existing process before claiming time savings. This article has not performed that comparison.
Use the delegation checklist when deciding whether AI fits a task. For a concrete starting point, try the proposed prompts in ChatGPT for freelance work. The daily AI uses guide offers lower-risk sample tasks.
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