Quiz: Does It Actually Get Better, or Do I Fix the Same Thing Forever? | Learn

1. Why does an AI tool often repeat a mistake you already corrected?

The model is not smart enough to understand the correctionMost tools start each session from zero, so corrections evaporate unless they are stored somewhere durableVendors intentionally ignore user corrections to drive upgrade salesCorrections only stick when you use the largest available model

Most AI tools have no durable place for corrections to live between sessions. Unless the fix is written down and re-injected or enforced, the system starts over and the human becomes its memory.

2. What is the top rung of the correction ladder?

Telling the model firmly and clearly during the sessionWriting detailed documentation about the mistakeAn automated check that makes the mistake mechanically impossibleUpgrading to a newer, smarter model

The most durable fix is an enforced check, code that blocks the mistake before it happens. Written rules can be forgotten or ignored; enforcement cannot.

3. You ask a vendor or your own team: "The last time the AI got something wrong, what artifact exists because of it?" What does the answer reveal?

Whether the vendor honors its service agreementHow many people in the business use the toolHow much the system costs to run each monthWhether the system converts corrections into durable improvements or just repeats itself

If no rule, checklist item, or automated check exists after a mistake, nothing stops that mistake from recurring. The artifact question separates systems that improve from systems that merely run.

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