Services

Three services, one engineering standard.

Each one ships with tests or an evaluation set, CI on every change and documentation for whoever maintains it next. Start from the problem you have.

Service 01

AI Agents & Automation

Teams lose hours to work that follows rules but resists simple scripts: sorting emails, pulling fields out of documents, updating records across tools, preparing reports. An agent can do this work, if it is built with limits and checks.

An agent that works inside your existing tools (email, spreadsheets, CRM, internal APIs).
Clear limits on what it may do on its own and what needs approval.
Logs of every action, so you can see what it did and why.
An evaluation set that measures accuracy before launch and after every change.

Python
FastAPI
LLM APIs with tool calling
Background job queues
Evaluation pipelines

RAG & Knowledge Systems

Knowledge sits in PDFs, wikis, tickets and drives that nobody can search well. Generic chatbots make things up. A retrieval (RAG) system answers only from your content and shows where each answer came from.

Ingestion of your sources, kept in sync as they change.
Search tuned to your content: chunking, hybrid search, reranking.
Answers that cite the passages they used.
Access rules, so people only see answers from documents they're allowed to read.
An accuracy report on a set of real questions from your team.

Python
FastAPI
Vector databases (pgvector, Qdrant)
Embedding and reranking models
LLM APIs

Full-Stack Products

An MVP, an internal tool or a customer portal needs more than a template: a clean data model, a reliable API and a fast interface the next developer can understand.

A production web app: typed frontend, API, database, authentication.
Automated tests and CI from the first week.
Deployment to your cloud account, with preview links for every change.
A README and architecture notes, so any developer can continue the work.

Next.js
React
TypeScript
Tailwind CSS
FastAPI or Node.js
PostgreSQL
Vercel, AWS or GCP

How working together goes

How does a project start?

With a free call about the problem. Then you get a written plan: deliverables, timeline, and a fixed price or a clear estimate.

Will I see progress before the end?

Yes. Working software every week on a preview link, not a big reveal at the end.

What do I get at handover?

The code, tests, documentation and a walkthrough. You own all of it.

Have a problem AI might solve?

Describe it in a few lines. You'll get an honest answer, including when AI isn't the right tool.

Start a project