What if my existing tool is built by an agency you do not want to work with?

Not my problem. I audit the tool, not the people. If the findings point to choices I disagree with, that goes in the report. You decide how to handle the relationship.

Will you rebuild it for me after the audit?

Sometimes. Depends on what the audit finds. If the tool is fixable, I will scope the fixes. If it really needs a full rebuild, that is a separate conversation.

What if the audit finds nothing wrong?

Has happened. Both times, the issue was operational — the tool was fine, the team was using it wrong or feeding it bad data. The audit covers that too.

Standard NDA, yes. I will not sign one that prevents me from describing the type of problem publicly (no client names or specifics, just the type of issue).

How deep does the audit go?

Code level. I read prompts, tool definitions, retrieval logic, error handling, and deployment. Not just a 30-minute call.

What if I do not have an existing tool yet?

Then you do not need this. Start with Operations Autopilot, Knowledge Agent, or Inbound Voice Agent depending on the use case.

How much does it cost?

Every project is custom because every existing tool is different. Tell me what was built and what is broken — I will give you a real number on a call.

All agents

Optimization

Zero production incidents after handoff

Production Tune-Up

Someone else built it. It does not work right. I fix it.

14 daysKickoff to written findings

Code-levelNot a slide-deck review

No upsellYou decide what to do next

Two weeks. Code-level audit (not a slide-deck review). A written report with prioritized fixes and effort estimates. You decide whether to fix it yourself, have me fix it, or rebuild it. No fluff, no upsell.

Built by Jahanzaib Ahmed, AI Systems Engineer·Updated May 23, 2026

Written findings in 14 days21-day live guaranteeYou own the code

Talk to meSee past work

What it actually does

Plain English. No jargon.

Here is exactly what happens after the agent is live. If any of this is unclear, ask me — I would rather over-explain than have you guess.

Reads the actual code and configuration (not just looks at the dashboard)

Runs it against test cases to see what really happens

Measures the real cost per run, the real speed, and the real error rate

Writes a report with every problem, how bad it is, and how to fix it

Walks your team through the report live so everyone understands

Who is this for?

Built for the people who already know what is broken.

I would rather lose a deal than take on a project that is not a fit. Honest fit signals below so you can decide before we even get on a call.

Good fit if

Teams that hired a consultant or agency and inherited a tool nobody understands anymore.
Companies running an AI tool that is too expensive, too slow, or too unreliable.
CTOs who want a second opinion before extending another retainer or rebuilding from scratch.

Not a fit if

Teams without an existing tool yet. Start with one of the other agents instead.
Tools owned by a vendor who will not give you read-only access to code and logs.
Anyone looking for a vague strategy memo. This is code-level.

What is in the box?

Everything you need. Nothing left for you to figure out.

No phase-two surprises. No upsells after the contract is signed. This is what every Production Tune-Up engagement ships with.

A read of the actual code, configuration, and recent logs

A cost breakdown — what every request is really costing you

A speed breakdown — where the time is going

A reliability check — error rate, hallucination rate, fallback coverage

A security check — common vulnerabilities and data exposure

A written report with prioritized fixes, severity, and effort estimates

A live walkthrough so your team understands what to do next

How does the build actually run?

Four phases. About three weeks. One engineer.

I do not disappear and surface with a demo. You see progress every day. You sign off at each phase. If something is wrong, we catch it before it ships.

Day 1: Read-only access

You give me access to the code, prompts, infrastructure, and recent logs. I read everything before I form an opinion.

Days 2 to 10: Audit

I run the tool against my own test cases. Measure cost per request, speed, hallucination rate, error rate. Trace the worst failures end to end.

Days 11 to 13: Write the report

Every problem, how serious, what causes it, the recommended fix, and how much work that fix is. No vague advice.

Day 14: Walkthrough

Live session with your team. We go through the report. You decide what to fix and who does it.

How does this compare to hiring?

The honest comparison.

Hiring a human

Hire another agency that tells you to scrap everything and rebuild from scratch.

Hiring this agent

Two-week audit. Written findings. You decide if what you already have is salvageable.

Real outcome: Two recent audits found the entire problem was a single misconfigured setting. Two-hour fix.

The questions everyone asks