Ever feel like AI is making you dumber instead of smarter?
The Simple Version
Think of AI as a turbocharged assistant. You still steer the car, but you add a speed bump now and then to keep your reflexes sharp.
How It Actually Works
Testing New Agents
Adding Friction
Source Verification
Technical Deep Dive
Use --force-verbose in Codex to see each step the model takes, then compare outputs from Grok and Claude side‑by‑side.
Implement a “decision checkpoint” function that returns True only if the human reviews the final output.
Why This Matters
When you retain ownership of key choices, you avoid the trap of “finished‑looking” work that hides declining judgment. This habit protects creativity and reduces costly errors in production systems.
Key Takeaways
- Brain rot can masquerade as high output.
- Test agents on micro‑tasks before full‑scale trust.
- Introduce intentional friction points.
- Verify sources for high‑stakes content.
- Keep humans in the loop for final decisions.
- Use model‑specific quirks (e.g., Claude’s color bias) as sanity checks.