Talk it through with Aurelius
Library›Aurelius›The problem
Aurelius · Work & Leadership
Knowledge + Guidance

When do we trust the AI's code, and when do we check it?

Your team uses AI to write code. Some days you take what it gives you and move on. Other days you throw it out before reading it, because something in you doesn't trust it. Neither choice comes from a rule. Both come from mood. This is not a flaw in your character, and it is not a flaw in the tool. It is a missing habit. You are making the same decision over and over — trust it, or don't — with nothing steady to lean on. No wonder it feels random. It is random. What is in your power is not the AI. It is the rule your team applies before the AI even enters the room. Build that rule together, use it together, and the chaos ends. This is work for a team, not a lone decision made in silence.

◆ 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
The team needs one clear rule taught plainly, but the real change comes from practicing and enforcing it together, so guidance leads.
How the two dials adapt to you →
What’s really going on

Set the rule before you write a line: trust AI for what your team can verify fast; check everything your team would stake its name on. You don't need more confidence or more suspicion. You need one rule, used the same way, every time, by everyone.

🔒 What you’ll build togetherUnlock by starting
A moveBefore anyone uses AI on a task, name out loud how you'd catch it if it's wrong — if no one can say, don't ship it
A moveSort your team's current work into two piles: easy to check, and costly if wrong. Agree on the piles together, not alone
A movePick one AI-written piece each week and trace its logic line by line as a group, not just its output
A moveWhen someone trusts blindly or refuses out of pride, say so to the team, plainly, without softening it
A moveKeep a short shared log of AI mistakes. Review it monthly. Adjust your rule based on what it shows, not on how you feel
PractiseThe Verify Line · a Pod of 4 · 30 min

What changes unlock by starting

  • Your team stops arguing about AI in the abstract and starts using one shared rule
  • Bad AI output gets caught before it ships, because checking is now someone's job, not a hope
  • You stop wasting hours either babysitting AI or quietly redoing its work alone
  • Trust between teammates grows, because it's tested out loud, not assumed in silence
One object, two jobs: a public answer to a real problem, and — the moment you start the chat — Aurelius’s live plan for your version of it.