Building Verification Habits

Practical habits for checking AI outputs and catching errors before they cause problems.

Knowing AI can be wrong is not enough - you need practical habits for catching errors. This topic covers concrete verification strategies you can apply consistently. The goal is making verification automatic, not an extra burden.

Objectives

Develop systematic verification habits
Match verification intensity to the stakes involved
Identify efficient ways to check different types of content
Build verification into your workflow naturally
Know when verification is essential vs. optional

Key Takeaways

Match verification effort to the stakes involved
Check against authoritative sources, not other AI
Trace reasoning yourself - plausible logic can be wrong
All citations should be verified - hallucinated references are common
Make verification habitual, not an afterthought