one
Discovery
find the invariants. 4 weeks.
rule-driven AI for the enterprise
Your team runs on experience.
We build the rules into AI.
We find the meta-rule governing your operation, encode its many instances, and ship the AI agent harness that runs them. The result: your operation runs on rule instead of memory, every decision is recorded against its basis, and your people get back the hours they were spending on work that was never theirs.
approach
the full method →two
Specification
encode them. 6 weeks.
three
Harness
ship the system. 4 weeks.
the harness
One rule becomes your operating system.
The harness is the AI agent system that runs the rules you set. Cycle times drop because the mechanical work stops being repeated. Rework falls because rules are enforced, not remembered. Your team gets capacity back — not to do less, but to do the work that was always theirs. specability is our own agent harness, now being prepared for open-source release.
engagements
all engagements →Clearing a three-year backlog in thirty days
Three years of internal product requests — dispatch, quoting, exception handling, client portal — stacked up because no one had encoded what the rules actually were. We found the two invariants, built the harness, and cleared the backlog in a month.
Narrative and art, growing in one direction
Two project teams, five disciplines, and a hidden coordination cost of 60–80 hours a week. We found two invariants, encoded them, and shipped a harness that let narrative and art converge instead of drift.