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Request a review Technical edition
Systems, controls, and receipts from the work itself.
For software teams adopting AI coding agents safely
See how the work holds together.
We use AI coding agents in our own live businesses and write down what runs, what fails, what has to stop, and what still needs a human decision. If your agent flagged something or stalled, send us what it printed and we reply with a focused read of that one problem.
Browse the Build LogEvery field note in orderOpen Everyday AI
Two ways to start
AI assessment
When the problem spans more than one spot, the same fixed-price assessment covers one workflow end to end: USD 4,500, five to ten business days, ending in a written decision memo.
Start an assessmentWhat the archive contains
Context
What the system knows, what it does not know, and how that boundary is kept visible.
Control
Where AI can move work forward, where a person decides, and where the system has to stop.
Evidence
What was observed, measured, and recorded instead of simply assumed.
Current field notes
Published field note
26,745 Stale Session Folders and a 3am Scheduled Task
G had about 11 GB free out of roughly 250 GB, and I was sure something was running away in there. I asked an agent to investigate.
Published field note
Blind judges preferred the rewrite, so we rewrote 751 posts
Blind judges preferred the rewrite in a 20 post sample, so we rewrote 751 posts. The same day, a Codex review caught a lock that quietly stopped locking.
Published field note
Four Blog Tooling Paths Now Share One Function and 16057 Tests Passed
Four places in our blog tooling, the digest, social, lesson and dailybackfill, now get a post's URL id from one function, and that id carries no date.
Human control stays visible
Human decides
Intent, commitments, exceptions, and high-stakes judgment.
AI can
Sort, draft, check, route, and surface the work that needs attention.
AI must stop when
Context is missing, a decision is ambiguous, or the next action could cause harm.