Find out why your AI agent fails, loops, or burns budget.
I inspect one existing workflow, reproduce the problem from sanitized evidence, and show you the highest-value fixes — without making production changes.
- $500 fixed price
- One workflow, one environment
- Five-business-day target
- No production changes included
The failures this audit is built for.
- The run reports done, but the result is wrong, missing, or sent to the wrong place.
- Retries, loops, and manual review make the workflow slower and more expensive than planned.
- No one can say whether the cause is the model, a tool, the router, state, or the surrounding code.
What lands in your inbox.
- Evidence-backed diagnosis What is failing, and the evidence behind each claim — separated across model, tool, router, state, and surrounding code.
- Measured baseline Success rate, retries, latency, and cost for the slices where your evidence supports a number — and a note where it does not.
- Up to three prioritized fixes Ranked by expected value, effort, and risk, so you know what to do first.
- Regression check and review A fixture, validator, or written test plan you can rerun yourself, plus one review call or async walkthrough.
A candidate model or serving-lane comparison is included only when it can be reproduced safely inside this fixed scope. It is not promised up front.
Three steps, starting with a fit check.
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Step 01
Qualify
A short exchange about the workflow and where it breaks. If it is not a fit, I say so before payment.
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Step 02
Agree and send
After fit and payment, we agree intake and retention in writing. You then send sanitized evidence with secrets removed.
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Step 03
Reproduce and report
I reproduce the problem against fixed inputs, not your production system. Production work requires separate approval and scope. I then send the report and walk you through it, targeting five business days after complete sanitized inputs.
A completed status is not proof.
All 97 runs in this internal sample were marked completed.
39 of those same 97 runs also reached the configured run limit.
This does not mean 39 runs failed. It means “completed” alone could not show whether the result was correct. The audit checks the result against explicit acceptance criteria.
Internal workflow sample, August 2026. No customer data; not a customer case study.
A narrow offer, on purpose.
A fit
- A workflow that runs today, not a plan for one
- An observable failure, retry, or repair burden
- Enough sanitized evidence to reproduce the path
- A decision-maker with a $500 budget
- Room to act on the findings
Not a fit
- Prompt coaching or general agent training
- Production implementation or ongoing operations
- Anything needing live credentials or account access
- Compliance certification, security sign-off, or penetration testing
- Regulated high-stakes decisions requiring certifications I do not hold
Do not attach or send traces in the first email. Intake and retention are agreed in writing after qualification; you sanitize first, and secrets are never sent. See the privacy policy.
Tell me what’s breaking.
Email me what is running and where it breaks. If it fits, the audit is $500, paid before delivery begins, with a target of five business days after your sanitized inputs are complete. If it does not fit, I will say so.
or write directly to [email protected]
Qualification first — no traces in this email.
- What workflow is running today?
- What outcome should count as done?
- Where does it fail, retry, or need operator repair?
- Do you have sanitized logs or traces available? Do not attach them yet.
Before you email.
What do I actually receive?
A written report: diagnosis, failure map, measured baseline where your evidence supports a number, up to three prioritized fixes, and a regression fixture, validator, or test plan. Then one review call or async walkthrough.
How long does it take?
Five business days after complete sanitized inputs is a target, not a guarantee. The clock starts when the inputs are complete. If the scope will not fit, I say so before payment.
Will you tell me which model to use?
Only when the comparison can be reproduced safely inside this fixed scope, on identical fixtures with matched tools and limits. It is not part of every audit.
What if I cannot share traces?
Say so early. Without enough sanitized evidence to reproduce the problem, the audit stops rather than guessing. Your dataset stays isolated to your engagement. I disclose any external provider before sending customer data and never reuse your material as a public example.