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Calibration
Fundamentals“kal-ih-BRAY-shun”
3/5 · Trickier
Adjusting an AI system so its answers become more accurate and reliable.
Lesson #1: AI Foundations & the Agent Era →Think of it like…
Adjusting a tape measure to make sure every measurement is correct.
Everyday example
A bathroom scale you adjust to zero before stepping on.
Construction example
Improving an AI estimator after comparing it with real project costs.
Business example
Tuning a sales-forecast AI after comparing its predictions to actual quarterly results.
Why this matters
An uncalibrated AI is confidently wrong — calibration is what makes AI trustworthy.
One-sentence summary
Calibration is tuning AI against reality until you can trust it.
Try it yourself
Compare an estimate (yours or an AI's) to the real result of one recent job. How far off was it? That gap is what calibration shrinks.
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