One operator, several businesses, one console
370+ commits since 10 Sep 2026, many by data robots · repository history
Figures from the project's own repository and configuration as of October 2026.
The problem
Several businesses run at the same time: a fintech funnel, a data product, a field app with a public launch, an Amazon brand and a content property. Behind them is one operator and a small team. Context scattered across inboxes, chats and heads would sink it.
What we built
- A morning brief generated before the working day from the calendar, the inbox, the team channel and live app numbers, ending with the top three things to do.
- One task list and one decisions log, kept in version control, so every session starts from the same memory and decisions carry their reasoning.
- Data robots that commit fresh numbers from each business on a schedule: Amazon data twice a day and field-app participation every hour.
- Team on rails. Teammates work through pull requests with their own AI assistant, and changes to anything live go through review.
- Hard rules the AI follows: nothing external is sent without the operator's go, nothing sensitive is committed, and claims must be defensible.
Where the AI is
This is the core of the offer. AI isn't one feature inside one product. It's the operating layer across the whole company: it builds, drafts, remembers and reports, while people decide, verify and bring the ground truth from the field.
How fast
Set up in September 2026 and in daily use since. New businesses plug in by adding a data robot and a section of the brief.
How this applies to your business
The console is the product most clients actually need first:
- Founders and GMs running several lines without a chief of staff
- Operations leads who want one morning view across systems that don't talk to each other
- Teams adopting AI that need rules, review and memory, not just a chat window
Have a version of this problem?
Start with Validate: two weeks, a working prototype, and a fixed price for the build.