I Audited Every 'Done' My AI Reported — All Three Were Wrong
Every "done," "already measured," and "wired into the build" my AI handed me — I ran three of them back against the primary record.
Concrete code, honest costs, real failures. We try things out for ourselves, then publish what we learned — prompts, scripts, and receipts included.
How Claude, Gemini, GPT and friends behave when we actually wire them into something — not just on a benchmark.
What a thing actually costs to run. Tokens, hosting, API minutes — broken out so you can decide for yourself.
When a bet doesn't work, we say so and show the math. The corrections matter more than the wins.
Every "done," "already measured," and "wired into the build" my AI handed me — I ran three of them back against the primary record.
Eight AI agents handle every step from script to publish-ready packet — overnight, without me. My only job: open the daily brief and upload the finish. But last week, that "once a day" setup sat stopped for seven days, and nobody noticed.
I gave Claude, GPT, and Gemini the same afternoon of real work. Same 32-page report, same instruction: extract it, analyze it, write the brief. I built the answer key before anyone ran. Then I scored all three.