The AIFinishers
You shipped a prototype. The demo killed. But it hallucinates on real data and your evals are held together with prayer.
We get in the code and make it actually work.
3 AI products shipped and counting
Been there
Vibe coding got you here. It won't get you further.
Prompting your way to a prototype is easy. Turning that into something you can charge money for takes real engineering.
The output looks right. It isn't.
Passes a glance test, sure. But users are getting wrong answers, trust is dropping, and you're spending more time patching outputs than building anything new.
You prompted your way to a wall.
You iterated on prompts for weeks. It looked decent in a demo. But would you show it to your biggest customer right now? You already know.
Demo day went great. Tuesday didn't.
Investors loved it. Then real users showed up with messy inputs nobody thought of. Turns out there's a canyon between 'works in a demo' and 'works on a random Tuesday afternoon.'
This needs engineering, not more vibes.
You can't prompt-engineer your way out of a broken retrieval pipeline. At some point someone has to look at the system, figure out what's wrong, and actually fix it.
How we help
Three ways to get it done
Depends on where you are. Every engagement starts with a free call so we can figure out the right fit.
Rescue Package
Fix what's broken
It's live but unreliable. Hallucinating, missing edge cases, losing user trust. We triage the pipeline, find the root causes, and fix them.
- Prompt & retrieval pipeline audit
- Hallucination root cause analysis
- Eval pipeline setup with regression tests
- Guardrails & fallback implementation
- Runbook & handoff documentation
AI Sprint
From prototype to production
You vibe-coded a prototype that works in demos. We run a focused sprint to engineer it into something that holds up with real users and the next model update.
- Architecture review & eval framework
- Prompt engineering & optimization
- RAG pipeline hardening
- Observability & drift monitoring
- Launch support & knowledge transfer
Stabilization Retainer
Keep it running smooth
It's shipped. But models change, data drifts, and prompts quietly degrade. We keep an eye on it so you don't wake up to a broken product.
- Continuous eval & quality monitoring
- Model migration & prompt adaptation
- Retrieval quality optimization
- On-call incident response
- Monthly performance & cost reviews
Simple process
How it works
No discovery phase. No steering committees. Three steps.
Show us the mess
Walk us through it. The prompts, the pipeline, the parts that embarrass you. We've seen worse, guaranteed.
We diagnose it
Full pipeline audit. Prompt chains, retrieval quality, eval coverage, failure modes. You get an engineering plan with specific fixes, not a strategy deck.
We ship it
Then we do the work. Build evals, harden retrieval, set up monitoring, fix the prompts that were held together with hope. When we leave, it actually works.
Our stack
We know the vibe coder stack
Same tools your prototype runs on. We just know how to make them hold up.
Who we are
Agentic engineers, not consultants
We've debugged hallucinating RAG pipelines at 2am. Migrated prompt chains across model versions without breaking anything. Built eval frameworks that catch regressions before your users do.
Vibe coding is great for getting started. But production AI products need agentic engineering: proper evals, retrieval that actually works, monitoring that tells you when things drift. That's the work most teams get stuck on. It's the work we do.
No strategy decks. We open your codebase, read your prompts, trace your pipeline, and we make it work.
Ready to get it done?
30 minutes, no pitch. Tell us what you built, where it falls over, and what you've tried so far. We'll tell you what we'd do about it, whether that involves us or not.
No commitment required. If we can't help, we'll tell you.