Work evidence
See selected work organized around the problem, the change and the evidence that can actually be shown.
Review selected workAI Output QA & Remediation
AI built it fast. We verify whether it is ready to trust.
AI-assisted work can accelerate delivery, but speed is not evidence of correctness. We inspect the actual artifact, test the important paths, repair bounded defects and document what remains uncertain.
When this service is relevant
- The artifact works in a demo but has not been systematically tested.
- Generated code contains duplicated logic, fragile assumptions or unclear dependencies.
- A website looks complete but accessibility, responsive or performance behavior is uncertain.
- An automation was assembled quickly and failure recovery is unclear.
- The team needs an independent verification pass before release.
What is included
Included
- Artifact and intended-behavior review
- Risk-based test plan
- Functional and edge-case inspection within scope
- Accessibility/performance review where relevant
- Bounded remediation of agreed defects
- Verification report with unresolved limitations clearly stated
Not included by default
- Guaranteeing that an unbounded system has no defects
- Inventing test evidence that was not produced
- Replacing human approval for sensitive or irreversible decisions
- Claiming production readiness when critical paths were not testable
How the work proceeds
1. Define trust
Clarify what the asset must reliably do.
2. Inspect
Review structure, assumptions and likely failure modes.
3. Test & repair
Run relevant checks and fix agreed defects.
4. Verify
Retest critical paths and document residual risk.
Verification and evidence
The proof is concrete: defect list, screenshots or logs where useful, diffs, test outcomes and explicit limitations—not a generic quality score presented as fact.
Common questions
Is this only for code generated entirely by AI?
No. It can be used when AI contributed materially to code, content, workflow logic or implementation and independent review is useful.
Will you rewrite everything?
Not by default. The first goal is to identify the smallest safe remediation path.
Can the review happen before production deployment?
Yes. Pre-release review is often the lowest-risk time to run it.
Start with one bounded, verifiable problem.
Send the problem, the system involved and what needs to work reliably. If the scope is clear, we will define the next step.
Evidence & trust
Evidence before claims.
Review existing work, the delivery method and relevant technical reasoning before committing to a larger engagement. Unverified outcomes are not presented as client results.
Delivery method
See how research, implementation, verification and controlled release fit together.
Review the methodTechnical reasoning
Read a relevant technical note before deciding whether this service path fits the problem.
Read the technical note