My own repositories
review experiments and a local agent-harness fix inform this method. These are internal engineering work, not a delivered client audit.
AI engineering for teamsCapability
I review AI-written code against the behaviour you need, reproduce failures, and quote bounded fixes with regression checks.
Sounds familiar?
How I solve it
I produce an independent verdict on the agreed behaviour, then harden the parts we decide to keep. Each finding has a reproduction, its consequence and a proposed fix. I check the repaired path against a regression case before accepting it.
The process
5 steps. Scope and a fixed price are agreed before the first one.
Agree the important user journeys and the boundaries of the audit.
Run the app with synthetic accounts and data in an isolated environment.
Check access, validation, persistence, retries and failure handling where they affect those journeys.
Reproduce findings and separate confirmed defects from questions that need more evidence.
Quote the fixes, add regression checks and record the result of each repair.
Handover
Built with
Proof
Capability Work I do; the proof below is from related projects.
Before → after
The intended change is from a working demo with unclear failure handling to an application whose agreed paths have explicit acceptance evidence. My backing is internal review work, a local harness repair and agent acceptance tooling. It does not establish a delivered independent audit for a client.
My own repositories
review experiments and a local agent-harness fix inform this method. These are internal engineering work, not a delivered client audit.
What you can look at
For this engagement I would provide a synthetic failing journey, the regression check and the verdict for the repaired version. A public sample still needs preparing; no client audit is presented here.
Capability based on internal review and agent tooling. No client delivery or business outcome is claimed. The local harness fix was not accepted upstream.
Price and timeline
The audit has its own agreed scope, fixed price and delivery date. Hardening is quoted separately as a Custom Engineering Project, from USD 1,500. The Tracking Health Check package is not presented as a general code audit.
QuoteFixed before work starts
A note from Daniilbefore you decide
If your team already reproduces defects, reviews changes independently and tests the important failure paths, keep that process. A disposable prototype may only need a clear decision about what is safe to try with synthetic data.
— Daniil
Questions
Only if the evidence supports that scope. I start with reproducible failures and a written priority list.
No. The verdict covers the agreed scope and records what was checked, what failed and what remains untested.
The first answer is free, within one working day. Or write directly: next@taskfordaniel.com