Kituwa IT · Field guide
Where should AI need your approval?
Use consequence and reversibility to decide. Draft creation: low consequence, easy to discard; a review is still wise. Practical checks and official refere…
Use consequence and reversibility to decide.
This guide expands the Facebook post into a practical workflow for beginners, home-lab users, and small-business owners who want to understand the trade-offs before changing a working system.
What this guide covers
- Where should AI need your approval?
- Consequence and reversibility.
- Draft — Review, easy discard
- Document edit — Version + diff
- Customer email — Approve before send
- Purchase / server — Explicit approval + rollback
Why it matters
The goal is not to memorize a product name or copy a command blindly. It is to understand what the change affects, verify it against an official reference, test it on spare hardware or a virtual machine when possible, and keep a rollback path.
A practical walkthrough
Step 1: what to check
Draft creation: low consequence, easy to discard; a review is still wise. Document edits: moderate; keep a version and review changes. Customer emails: high; approve before send. Purchases: high; require explicit approval and a limit. Server changes: high; require approval, a rollback, and a change window.
Test the model on your task
The more consequential and irreversible the action, the stronger the gate. “The AI did it” is not an incident response.
Verify the result
Test the change on a spare device or virtual machine first. Check the exact behavior you care about, not just whether the screen looks right. Record what you tested and what you expected.
Your turn
Which action would you never let run unattended?
What to verify
- Use the official documentation for the exact version you run.
- Test on a spare device or virtual machine before changing a working system.
- Keep a backup and a rollback path.
- Record what changed and how you verified it.
Common mistakes
- Trusting a confident answer without a check.
- Skipping a repeatable test set or factual review.
- Sending private data to an endpoint you have not verified.
Quick checklist
- ☐ Consequence and reversibility.
- ☐ Draft — Review, easy discard
- ☐ Document edit — Version + diff
- ☐ Customer email — Approve before send
- ☐ Purchase / server — Explicit approval + rollback
FAQ
What is the first step?
Use consequence and reversibility to decide.
What should I avoid?
Trusting a confident answer without a check.
Where can I verify the current details?
Use the official references below; versions and interfaces change.
References
Related guides
- Turn a checklist into a reusable AI workflow
- n8n: what workflow automation means
- Design an automation before building it
Need help?
If you want a second opinion on the setup or the rollback plan, Kituwa can review it with you. Start with the checklist above; it makes the conversation more useful.