
Shared instructions and tool outputs
I run my own companies on the systems I recommend. The advice comes from a workflow I use every day, not a slide.
the operation
I do not recommend AI I have not run myself. My own dev work, my own back office, and the products above all run on the same kind of agents I build for clients. When something breaks, I have usually already hit that failure and fixed it.
development workflow
Each published panel describes one responsibility and links to the reviewed project example behind it. The panels are independent parts of my working method; no shared runtime relationship is implied.

Shared instructions and tool outputs

Review, retry, and blocked work

Operator attention and sample records

Event trace and terminal record
my stack in practice
None of this is exotic. It is a small set of habits, applied consistently, that add up to a lot more shipped work per week.
what this means for clients
Two things. Speed: agents take the first pass on most of a build in parallel while I review and correct, so the work is not gated on one person typing. And judgment: because I run these systems on my own revenue, I know where they break, so I can tell you where AI will not pay before you spend on it.
See the systemsAudits start at $750, fixed scope. Every engagement begins here. Two to three weeks inside your business, and you end up with a map, a scored shortlist, and one recommended pilot, whether or not you hire me to build it.
Not ready to talk? Take the free AI readiness assessment