Required evidence holds within the tested scope.
AI Reliability, Evaluation & Cost Control
Do not let unreliable AI silently become business logic.
Define what a good result must prove, what a run may spend, and when it must stop. Inspect failures as carefully as the passing demo.
PROTECTED ACCEPTANCE CONTRACTEvidence is checked outside the agent’s claim.
Permission, budget or a required check fails.
A person decides the consequential action.
Passing checks is bounded evidence, not automatic release approval.
CTOs / AI leads / Product owners
The engagement
What changes. What you receive. How we check it.
What changes
A clearly scoped improvement
A risk map, acceptance suite, routed cost boundary, failure replays and documented release conditions.
What to measure
Compare before and after
Track accepted results, blocked failures, review load and routed cost per accepted task.
How we start
One owner, one workflow
Bring a representative example. Together we confirm scope, access, acceptance criteria and pricing before implementation.
ExploreCurrent vs controlled / Reference workflow
The same work. A clearer route through it.
StageCurrent / frictionControlled / accountable
01Task
CurrentA prompt stands in for acceptance criteria
ControlledVersion the acceptance cases
02Boundary
CurrentScope and cost remain open-ended
ControlledSet routed limits and protected scope
03Run
CurrentRetries accumulate without a limit
ControlledRecord attempts, costs and failures
04Artifacts
CurrentA self-reported result becomes evidence
ControlledValidate artifacts against the agreed contract
05Evaluation
CurrentThe agent can alter its own checks
ControlledReplay protected checks independently
06Decision
CurrentA green status is mistaken for release approval
ControlledSeparate pass, block and human review
People approve verifier changes, risk acceptance and release. A passing check is bounded evidence.
Interactive reference / No external action
Test the boundary before trusting the action.
Reference verdict
HUMAN REVIEW
The checks pass in this fictional example. The consequential action still needs approval.
Automation / AI / Your team
Give each kind of work the right owner.
Automation
Moves and checks
Enforce routed limits, validate artifacts and replay deterministic checks.
AI assistance
Interprets and prepares
Perform the bounded task and explain results with traceable evidence.
Human accountability
Approves and decides
People approve verifier changes, risk acceptance and release. A passing check is bounded evidence.
Modelled impact / Calculator
What does the retry loop add to the bill?
Illustrative assumptions / editable
Rates are your own assumptions. A gateway limit covers only calls routed through it. Quality and human review require separate acceptance checks.
Use this scenario in my assessment ↗Formula and sensitivity
Base monthly cost = daily runs × calls per run × cost per call × operating days. Total = base × (1 + extra retry calls / 100). This is a linear scenario, not a token or provider billing simulator.
Practical starting points
Start small enough to verify.
Bounded workflow
Evaluation baseline
Inspect task: A prompt stands in for acceptance criteria. Agree the owner and acceptance evidence before changing the live process.
ExploreBounded workflow
Routed spend control
Inspect boundary: Scope and cost remain open-ended. Agree the owner and acceptance evidence before changing the live process.
ExploreBounded workflow
Proof before release
Inspect run: Retries accumulate without a limit. Agree the owner and acceptance evidence before changing the live process.
ExploreExternal guidance / Separate from our work
Use published risk guidance as a reference.
EXTERNAL INDUSTRY EVIDENCE
NIST AI Risk Management Framework
A voluntary framework for incorporating trustworthiness into AI design, development, use and evaluation. This is external guidance, not certification of a LaunchSoloAI build. Reviewed 2026-09-12.
ExploreEXTERNAL INDUSTRY EVIDENCE
OWASP: Excessive Agency
OWASP describes risk from excessive functionality, permissions and autonomy. The reference informs boundary design; it does not prove any implementation is secure. Reviewed 2026-09-12.
ExploreLaunchSoloAI engineering evidence
Inspect the artifact and its boundary.
PUBLIC PRODUCT
Runcap
Public source and replayable Proof Gate examples demonstrate bounded controls. Routed spend coverage excludes bypassed calls.
Open the evidence record
Implementation / Evidence before expansion
A bounded engagement, with a decision at each stage.
- 01
Map
Confirm the workflow, owner and baseline.
- 02
Bound
Agree data, permissions, scope and unacceptable failures.
- 03
Build
Implement the smallest useful intervention.
- 04
Verify
Track accepted results, blocked failures, review load and routed cost per accepted task.
- 05
Hand over
Train the owner, document recovery and decide whether to expand.
What you receive
A risk map, acceptance suite, routed cost boundary, failure replays and documented release conditions.
A practical next step
Bring one workflow. Find the next useful move.
Start with the process, the current tools and the person who owns the next decision. No system access needed.
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