Original AI Teachers practice guide · October 17, 2026. Scenario and results below are hypothetical exercises, not customer outcomes or proof that an automation was run.
Who this lesson helps
Marketing, product and design practitioners. The goal is to leave with one concrete artifact and a clear way to check its quality, not to buy more tools.
Start with a realistic example
Fictional product team: compare three onboarding problems from permitted interview notes.
Use only fictional or specifically permitted material. Keep confidential customer information and credentials out of unapproved tools.
Try the working instruction
Copy and adapt
Act as three distinct reviewers in sequence, not as a claim of running independent agents. Researcher extracts grounded findings; drafter makes a decision brief; critic identifies gaps and counterarguments. Finish with a human sign-off checklist. Never invent interviews.
Replace the fictional scenario with your approved context, clearly stating what a good result should contain and which action still requires human approval.
Check before treating it as finished
- Are findings tied to provided evidence?
- Does criticism uncover unsupported claims?
- Who approves the decision?
Run the instruction on a fresh, safe example. If the output is not grounded or actionable, revise the inputs or the acceptance criteria and try again. Review and correction time are part of the cost.
Your finished exercise
Research-to-decision workflow with independent human quality review. Save the artifact with a named owner, a version date, allowed inputs, quality checks and one next test. Nothing in this lesson creates an external scheduled job, sends messages or connects accounts.
What next?
Work through the free first workflow foundation, then take the Workflow Planner into your next real task. For one private, reviewed working session, request the existing $350 offer. For business integrations, team approvals or implementation, explore Agency implementation.