The systems your business runs on, built to fit it.
Off-the-shelf software is built for the average company. The places it doesn't fit are where your work actually happens. I build custom AI systems for those places: a recall layer over everything you know, attribution that pushes into your CRM, an internal tool your team will actually use. Scoped and priced before you commit. Working output in weeks.
The proof already runs in production, on my own business and on client work.
Talk about a build · everything I do →
01 · The flagship: recall over everything you know
The system I've built out furthest, and the one with the most leverage for a business like yours: a recall layer on your own data.
Point it at your records: sales calls, documents, tickets, years of files. Your team or your customers ask a question and get an answer back from the real material, not a guess. Point it at your sales transcripts and it surfaces what's closing deals and what's losing them. The answer comes from your records, and the model never rewrites the source, so you can show an auditor why.
Under the hood: Postgres and pgvector, keyword and meaning ranked together with a reranking pass on top, live as a service over a large corpus. On my own corpus the right record lands in the top five 84.1% of the time, the top ten 90.7%.
02 · What building one looks like
A bespoke build on your data. Not a wrapper around someone else's model. The sequence holds whatever the system:
- Map what you hold. I find where the answers live: databases, documents, tickets, transcripts. The records worth using get made usable; the rest stays untouched.
- Build it in place. The system runs over your records where they sit. Nothing ships to a third party for processing.
- Wire the provenance. Answers assemble so your source records stay structurally out of the model's reach. Section 04 shows how.
- Tune to your domain. Tuned to your language and your compliance posture, then measured against the real questions your people ask.
- Ship the surface. I build the place your team or your customers use it, fitted to where they already work.
03 · Two ways to point it
- A custom flow for your team (internal). Each person works in their own space; the knowledge they create syncs into one shared layer. The whole operation can then ask across everything you hold, with no one hand-collecting it. The fast, low-risk place to start.
- Inside your product (customer-facing). Ship it to the people who use your software. It fits regulated settings, where a wrong or invented answer is a liability. Built bespoke to your data and your compliance posture.
04 · Why it is safe to ship
The model can summarize. The record stays untouched.
Every answer assembles in separate lanes. Two of them never touch a language model, so your source of truth stays structurally out of the model's reach. A control you can demonstrate to a regulator, line by line.
05 · The other systems I run
- A CRM I run this entire business on. Lead pipeline, call queue, touch history, all custom-built. When I need a new feature, I build it.
- A competitive-intelligence system. It reads an entire market: every competitor's pages and the buyers' own words, and returns a sourced map. → the intel deliverable
Same operator, same rules loaded underneath, priced per project.
06 · How I work
Every engagement is scoped and priced before you commit. No open-ended retainer, no surprise hours. You see the price and the deliverable before anything starts, and you get working output in weeks. Bigger systems mean bigger scope; the model holds.
07 · Work together
Tell me what you're trying to build, or the part of your operation nothing off-the-shelf fits. I'll tell you whether I can build it and what it would take.