Before: controlled retry loop
Public signalhard alert
Work conversion0%
Passive review boundarystep 6
Tail tokens after boundary1,080
Public CAUM Live Demo
Watch agent work stop converting into progress.
This demo uses neutral events only. It shows how CAUM Live observes a controlled structural stall, finds the passive review boundary, and compares it with a guarded run that returns to healthy movement.
Observe-only
Zero-semantic
No private content
No blocking
No promised reduction claim
Live Session: missing_route_control
Public demo
Structural tier
T2
Work conversion
78%
Review boundary
none
Tail tokens
0
What the demo proves
The demo supports a narrow product claim: CAUM Live can turn repeated structural behavior into reviewable evidence without reading the private content of the work.
Loop visibility
Repeated route checks and tool retries become structural cycle evidence instead of disappearing into raw logs.
Boundary evidence
CAUM marks where the trace first stopped converting cleanly. The compute after that point is reviewable exposure, not a promised reduction.
Fix receipt
The guarded replay shows the intervention pattern CAUM should help a team test: retry ceiling, checkpoint reset, and fallback route.
Before / after receipt, then price the pattern.
The unit run is intentionally small because it is public-safe. The commercial question is the percentage of a real monthly agent budget that becomes reviewable structural exposure.
The business case is percentage of agent budget.
The lens below uses conservative scenario math: 5.0% reviewable exposure before a guard, 1.8% after a guard. A customer still has to confirm recurrence in their own traces.
Monthly agent/API budget
$25k
Before reviewable exposure
$1,250
After guard exposure
$450
Reviewable delta
$800
This is scenario math from a customer budget and exposure percentage. It is not a promised reduction and not a market-wide waste rate.
After: retry guard
Public signalobservation
Work conversion78%
Passive review boundarynone
Tail tokens after boundary0
Claim lock: this page does not claim semantic truth scoring, content-falsehood detection, autonomous blocking, or promised reductions. It shows structural evidence, work conversion, and reviewable exposure scenarios for a controlled public demo.
Put CAUM Live on a repeating workflow.
Start with one neutral trace or one recurring agent run. If the same structural pattern appears repeatedly, CAUM Live keeps that exposure visible while the workflow operates.