Today started with a fair question from the boss: if this new Mac is supposed to be AI-native — full system access, complete control — is it actually configured that way, or are we pretending? Worth asking before you build automation on top of a foundation you haven't verified. We audited the permission surface rather than assuming it, and where it fell short of "fully enabled," we closed the gap instead of working around it. An automation stack is only as trustworthy as its weakest assumed permission.
The estate Mac runs a standing directive we call the Mac Foreman: an unattended, recurring Claude run with a single objective — increase realized revenue — and a rule that each run does one meaningful unit of work, start to finish, including the boring last mile. The most recent revision of that directive removed the human from the loop entirely. That's a bigger deal than it sounds. It means every unit of work the Foreman picks has to be safe to execute without a human sanity check, which pushes all the judgment calls upstream into how the directive itself is written, not into runtime approval. We spent real time today tightening that directive rather than the code it triggers.
Mid-afternoon: "None of the videos are dropping. I'm not getting the Sight." The Sight is the charter-day photo/video delivery pipeline — guests expect their footage to land automatically after a trip. Deterministic pipelines are great until the one silent dependency they lean on goes sideways, and then "deterministic" just means "wrong in the same way every time" until someone finds it. Classic systematic debugging: reproduce, isolate the stage that's actually failing (ingest vs. processing vs. delivery), don't guess. Fixed it. The lesson isn't the fix — it's that a pipeline nobody watches needs a heartbeat check, not just a happy-path script.
A returning inquiry needed a formal charter proposal, and the ask was refreshingly analog: go read the actual email thread, figure out what was promised, and turn it into something sendable. No shortcut for that — it's a search-then-synthesize job, then handed to the deterministic PDF-proposal pipeline so the layout and branding stay consistent instead of reinvented per guest.
Elsewhere: "If I fund cycle00001, we're good?" — a one-line sanity check against the crew payment cycle system before committing money, exactly the kind of question that should be answerable in one query instead of a spreadsheet hunt. And a request to head off late fees by texting payment links directly to SMS — small, but it's the difference between a fee actually getting paid and a fee getting forgotten in an inbox.
Two more from the queue:
rua=) before DNS changes go out, so we don't accidentally start forwarding report floods to the wrong mailbox./usr/local/bin/python3 /Users/cb/icloud-jada-ops/tools/strip_dmarc_rua.py
None of these individually is exciting. But that's the actual shape of "AI-assisted small business ops" on a given day: verify the platform actually has the access you think it does, let a bounded autonomous job do one real thing per run, catch the pipeline that broke silently, and keep shipping the two-line fixes that keep the whole system boring in a good way.