one
Discovery
find the invariants. 4 weeks.
one rule — ten thousand things
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 →one
find the invariants. 4 weeks.
two
encode them. 6 weeks.
three
ship the system. 4 weeks.
the harness
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. A consultancy delivers a report; an AI vendor sells a tool. We deliver the system that runs your rules — and we ship it as a product.
proof
We build our own harness — then ship it as a product.
Specability Core is one free local agent harness: Universal Core is always active, and the current public preview includes the Coding domain overlay. It ships checksummed builds and public changelogs, does not yet provide code signing, and does not independently upload data to SpecabilityAI. Enabled host hooks send bounded orientation to the selected AI provider. Partner and Enterprise work strengthens domain methodology on that shared base.
engagements
all engagements →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.
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.