What is this? A practical, evidence-based checklist for recovering from AI fatigue — developed from cognitive science research and 2,147 engineer survey responses.
How to use: Print this page. Check each box when you've done the practice for the day. The 30-day tracker at the bottom helps you build the habits that stick.
Research basis: Lisanne Bainbridge's Ironies of Automation (1983) · Sophie Leroy's Attention Residue (2009) · Robert Bjork's Desirable Difficulties · Gloria Mark's 23-minute recovery finding · John Sweller's Cognitive Load Theory.
*71% of engineers in our survey felt like "middlemen" reviewing AI code rather than writing it — the ghost authorship phenomenon.
If you can't explain the code AI just wrote, you don't own it — you just approved it. The Explanation Requirement is the single highest-leverage practice on this list. It eliminates ghost authorship and skill atrophy simultaneously.
71% of engineers in our survey felt like "middlemen" reviewing AI code rather than writing it. This feeling compounds. The longer you work without building deliberate skill-rebuilding into your routine, the further the gap grows. This checklist is your reset mechanism.
The checklist is the scaffold. The actual recovery happens in the doing — in the 90 minutes of unbroken focus, in the no-AI Fridays, in the Sunday recalibrations that slowly rebuild what AI has quietly dissolved.
143 pages of research, tools, and recovery guides — all free.
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