Custom AI solutions
Useful automation, with boundaries you can understand.
We plan and build focused AI tools, workflows, agents, and skills for individuals, businesses, creators, and mission-aligned organizations. A project begins with discovery — not a checkout button — so we understand the work, the data, the risks, and the real definition of success before anyone pays for anything.
Where we fit — and where we don’t
A good fit
- Bounded workflows with clear inputs and owners
- Internal knowledge tools
- Evaluation harnesses for AI output you already rely on
- Documented skills, plugins, and MCP-backed tools
Not a fit
- Unsupervised agents over consequential actions
- Bet-the-company automation
- Anything we cannot test honestly
How an engagement works
- Discover. Define the user, task, systems, data, and constraints.
- Prototype. Build the smallest useful version with safe test data.
- Evaluate. Compare against a baseline, preserve failures, and test recovery.
- Deliver. Document operation, support, privacy, costs, and maintenance.
What every engagement ships with
- Evaluation results against a stated baseline
- An operating document and a limits document
- Written support terms
- A written scope — availability, pricing, timeline, ownership, third-party costs, and support — agreed before work begins
We do not promise perfect model output or platform approval. Our own public work follows the same rules: see Hive Mind OS, whose README states its limits before its pitch.
Mission link: custom work is priced to sustain the free classes; we publish the cost structure once the evidence behind it is retained.Book a discovery conversationNo checkout — a written scope comes first.
Status: taking scoped inquiries — see the ledger (checked 2026-09-16).