01 / 05
Cairn watches the work.
Codex, Claude, repositories, terminals, reviewers. Cairn starts at the boundary, so the team does not have to move work into another tool.
Cairn in 60 seconds
From scattered AI work
to a record you can trust.
Cairn watches the work, chooses how much intelligence it needs, checks the result, and keeps the learning attached to the repository.
Start the journeyLIVE RECEIPT · SYNTHETIC Observing
01
Design a safer checkout flowCodex · Claude · GitHub-ready work
context attachedverification pendingcost visible
The basic unit
A claim is a statement your team or an AI system is relying on as true.
It can be a pricing assumption, a product rule, a safety boundary, or a decision embedded in code. Cairn gives that statement a trail.
Example claim Standing
Usage-based pricing converts better in mid-market.
- Evidence
- Observed in pricing agent output
- Consumers
- Sales playbook · Q4 forecast
- Boundary
- Mid-market accounts only
The journey
Five beats.
One new operating layer.
Keep scrolling. The receipt changes as the work becomes more legible.
- 01Work arrives
- 02Cairn routes
- 03Context holds
- 04Evidence closes
- 05The record compounds
02 / 05
Cairn chooses the right amount of intelligence.
Routine work starts cheap. Ambiguity earns a stronger model. Critical decisions earn the premium. Every route has a reason.
Luna defaultTerra if unclearSol if critical
03 / 05
Cairn makes the cost visible.
Budgets, cached context, model choice, retries, and handoffs stop being invisible tax. The economics travel alongside the work.
input18.2kcached72%rework0
No middle-out required.
04 / 05
Cairn checks whether it worked.
Tests pass. A reviewer accepts. The outcome is verified—or the system says what is still unknown. A receipt beats a confident paragraph.
✓
Verified work mileOutcome evidence attached · route and spend recorded
VERIFIED05 / 05
The repository gets smarter.
Today, Cairn gives local agents a shared runtime and ledger. Next, the same record can follow the pull request, review, and merge—so GitHub becomes a learning surface, not just a code surface.
The point
Can you explain Cairn
in one breath?
Cairn watches AI work, chooses the least expensive capable path, verifies what shipped, and keeps the learning portable.