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Aurelius · Work & Leadership
Knowledge + Guidance

The AI gets things wrong. How do we know when to trust it?

You caught the tool being wrong. Good. That means you were paying attention. The danger is not the next error — it will come again — the danger is that your team quietly stops checking, because checking is slow and the tool is usually right, and "usually" feels close enough to "always." Notice what you are actually asking: not "is the tool reliable" but "when should a human override it." That question cannot be answered by the tool. It can only be answered by people who know the work, state their reasons, and are willing to be wrong in front of each other. You are working on this with others. Use that. One person's blind spot is another person's obvious catch — but only if you have built a habit of saying your reasoning out loud instead of just your conclusion.

◆ How this problem reads on the two dials
GuidanceKnowledge
More coaching
Some to learn
1:1 with AureliusWith others (a Pod)
Some one-to-one
Practise with peers
There is a real skill to teach (how to spot where models fail and build a lightweight check), but the harder, more decisive work is behavioral: building the team habit of surfacing reasoning and assigning ownership, which only practice develops.
How the two dials adapt to you →
What’s really going on

You will not solve this by trusting more or trusting less. Assign one person per decision to own the judgment, state their reasoning out loud, and let the group challenge it before it ships. The tool gives output. Only your team can supply judgment — and judgment must be practiced, together, or it rots.

🔒 What you’ll build togetherUnlock by starting
A moveFor your next shared decision, name one person as the override-owner before you start — not after something goes wrong.
A moveRequire that person to say their reasoning in one sentence before anyone looks at the AI's output, so you compare judgment to judgment, not output to gut feeling.
A moveKeep a shared list of the specific moments your team caught the tool wrong. Review it monthly. Patterns live there, not in memory.
A movePick one category of decision your team will never hand fully to the tool — define it together, in writing, this week.
A moveWhen someone overrides the tool, have them say why in the group channel. This is not bureaucracy. It is how a team builds shared judgment instead of five private ones.
PractiseThe Override Ledger · a Pod of 4 · 30 min

What changes unlock by starting

  • Your team names who owns the override before a decision, not after a mistake surfaces
  • You have a written, shared list of where the tool has failed you before
  • Disagreements about trusting the AI become short, specific conversations instead of vague unease
  • New team members can learn your team's judgment by reading past overrides, not by guessing

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