Agentic AI · 2 October 2026
The first thing an AI agent got wrong in my hands, and the check that caught it
In this fictional practice incident, ai agent mistakes appeared in the scheduled report, not in the chat that produced it.
AI agent mistakes start with the output, not the chat
The retained line I checked
I kept the scheduled output unchanged and checked its claims against the companion information.
| Exact raw excerpt | Exact checked excerpt |
|---|---|
| “notice given 7 business days before course” | “14, 15, 16, 17, 18, 21 September = 6 business days” |
| “confirm booking for Monday 14 Sep or escalate to waitlist” | “No waitlist exists in the files.” |
| “Route to person for assessment; arrange directly. Takes precedence over ordinary booking details. Do not guess.” | “Person finds out whether the facilities are offered; precedence stated as the guide states it.” |
| “Process date change in booking system” | “Proposal for a person to verify the booking and availability before deciding.” |
The check that caught it
Raw claim: notice given 7 business days before course.
Source dates: 14, 15, 16, 17, 18, and 21 September.
Checked correction: 14, 15, 16, 17, 18, 21 September = 6 business days. Six still meets the 2-business-day rule.
The files contained no waitlist. A person needs to find out whether facilities are offered.
A person also needs to verify the booking and 23 September availability before deciding. No booking changed.
How to check what an AI gave you
Preserve
outputs/latest-action-list.mdunchanged.Create
outputs/scheduled-output-checked.mdas a checked companion.Compare the two files. A diff means a before-and-after comparison.
Accept only a change supported by inputs, and keep booking action with a person.
Make the check match the consequence
| Check depth | Example |
|---|---|
| Low consequence | Read the output for missing facts and unsupported claims. |
| Medium consequence | Compare dates, rules, and named details against the inputs. |
| High consequence | Require a person to verify the decision before any action happens. |
| Booking or availability change | Keep the action with a person until the booking and availability are verified. |
Summary Card
This was one fictional practice incident. It shows why a retained output needs a checked companion before an action is accepted.
Questions people ask next
answered in one line eachAre AI agents trustworthy?
They can produce useful drafts. Check the output when it affects a decision, date, rule, or action.
How do I check what the AI gave me?
Preserve the original output, create a checked companion, compare both files, and accept supported changes only.
What should I do when a booking action is involved?
Keep the booking action with a person. Verify the booking and availability before deciding.