I look at what your AI is supposed to do and find exactly where reality diverges.
Tap broken or missing above — the whole page follows.
Tell me what is going onThe pattern
Your AI gives confident wrong answers, and nobody on your team can explain why.
You are paying for expensive infrastructure running at a fraction of what it should.
It worked in the demo. It breaks on real data. Every time.
You have spent months on this. Your team keeps saying it is almost ready.
That is not an AI problem. That is an engineering problem. It has a specific cause. I find it.
The service
A written report. Every problem, its root cause, what to fix first. A 30-minute call to walk through it.
No technical background needed. Plain English, start to finish.
What you receive
Pricing by stage
50% on booking. Remainder on delivery. Priced by region on the call.
How it works
Docs, notes, what it is supposed to do. Code access welcome, not required.
End to end. Where it breaks, and why.
Problems, root causes, a fix list. Plain English. 5 days.
30 minutes. What I found, your questions, next steps.
Who I am
I'm Bippin. I've built production AI systems that had to actually hold up, not demos. That's how I know where yours is not, or what it needs to be built.
Most AI problems are not the model. Rushed decisions nobody rechecked, or a system nobody built because it seemed too hard. I go back. I check. I build.
tables in one Text-to-SQL engine
SQL generation accuracy after fine-tuning
autonomous job applications, zero manual steps
pipeline driven by a RAG insights platform
Send a short note about what your AI is supposed to do and where it is falling short. I will respond within 24 hours.