I Tracked Every Minute AI Saved Me for 30 Days. Here's What Happened.

For 30 days I logged every task touched by AI — and every minute saved versus the pre-AI baseline. Here is the unfiltered data.

The setup

Toggl timer. Two columns: "with AI" and "would have been". I rounded conservatively (always down) and only counted tasks I'd actually do anyway.

The 30-day result: 42 hours saved

• Email — 11.5h saved (triage + drafts in ChatGPT).
• Meeting notes & follow-ups — 9h saved (Fireflies + Claude summarizer).
• Writing first drafts — 8.5h saved (R-C-F-C prompts in Claude).
• Research — 6h saved (Gemini Deep Research + Perplexity).
• Reports / status updates — 4h saved.
• Slides & one-pagers — 3h saved.

What surprised me

The biggest wins weren't the obvious ones (long writing) — they were the boring repetitive ones: meeting follow-ups and email triage. Compounding daily, they're the difference between a 50-hour and a 38-hour work week.

What didn't work

Letting AI handle high-stakes decisions, deep strategy, and anything client-facing without review. AI is a multiplier on first drafts, not a substitute for judgement.

Want the exact prompts I used (and a tracker template)? They're inside The AI Productivity Playbook.