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What should a coach automate first?

Pick one recurring job you can describe, test, and measure. A smaller first build makes it easier to see whether AI is helping.

Stacked Strategies · October 16, 2026

Start with the work you repeat

For one working week, write down the tasks that keep interrupting you. Answering the same offer question. Editing captions. Preparing a call brief. Pulling numbers for a report. Note what starts the task, what information you use, and what a good result looks like.

Choose a task that happens often and has a clear finish. “Grow my business” is too broad to test. “Draft a reply to an inbound question using this offer brief, then send unusual questions to me” gives the system a job you can inspect.

Choose by clarity, volume, and consequence

  • Clarity: Could another person do the job from your instructions?
  • Volume: Does it happen often enough to justify the setup and review?
  • Consequence: What happens if the system gets it wrong?

A recurring internal draft is often easier to start with than an automatic customer message or a change to ad spend. Where a mistake matters, put review before the external action.

Write the handoff before the prompt

Decide what the AI can handle and when a person takes over. For a DM setter, that may include a refund request, a question outside the offer brief, or someone asking for a human. For an editor, it may be an unclear sentence or a claim that needs checking.

Give the reviewer the source material and the reason the system stopped. A useful handoff should reduce the amount of digging a person has to do.

Run a bounded test

Use representative examples, including a normal case, missing information, a misleading request, and something outside scope. Check the actual output against your definition of a good result.

Record setup time, review time, corrections, and tool costs. If the draft takes longer to fix than the original task, change the workflow before increasing the volume.

Choose the next step

If recording and editing are the bottleneck, explore AI video editing. If leads wait for answers, explore an AI DM setter. If the knowledge is still scattered, organize that first.

A useful first-build brief: “When [trigger] happens, use [approved information] to prepare [output]. A person checks [risk]. Success means [observable result].”

Bring that brief to AI Growth Lab to learn through the build, or talk with us about implementation.