Stop Benchmarking Agents Against Each Other. Audit Them Against a Tuesday.

Description and use

Evaluating a personal AI by auditing a real Tuesday reveals actionable failures, outperforming generic benchmarks.

Problem

Benchmarks cannot capture real-world consequences and personal context for a single-user AI.

Outcome

Auditing a personal AI against a real Tuesday reveals a single failure that drives the next iteration, providing more actionable insight than leaderboard scores.

Workflow

• 1. Run the personal AI through a full day of tasks.
• 2. Record each task outcome as "done right" or "not". 3. For every failure, write a one-sentence explanation (e.g., wrong assumption, missing context, overconfidence).
• 4. Review the audit to identify the single most impactful failure.
• 5. Adjust the AI’s behavior or instructions based on that failure for the next week.

Evidence

No benchmark on earth can tell me what I learned that Tuesday.

Source

Every week I audit one real day. Not a curated task list — the actual day, in all its messiness.

Source

The entire point of a personal AI is that the test set is your life, and your life is not downloadable.

Source