What I can build for you.

A range of custom AI work — these are examples, not a fixed menu. Most projects combine a few of these or go somewhere none of them quite describes. Every one starts the same way.

Start: Advisory

Every engagement begins here. I look at how your business actually operates, find where AI delivers real return, and say plainly where it won't earn its keep. You get an honest roadmap — what's worth building, in what order, and what it takes — before you commit to anything. No project starts without this step.

Custom data scrapers

What it is: a tool built to collect and structure data you currently gather by hand — from websites, platforms, or other sources — and hand it back ready to use.
Why it helps: manual research eats hours and scales badly; a scraper does it consistently, on demand.
What you get: the working tool and its full codebase, a maintenance and troubleshooting guide, a short walkthrough so anyone can run it without technical help, the output in a ready-to-use format, and clear guidance for when a source changes.

Interactive dashboards

What it is: a single, live view of data that's currently scattered across your tools and channels.
Why it helps: decisions are slow when the numbers live in five different places — a dashboard puts them in one.
What you get: a fully functioning dashboard pulling your real-time data together, built around the metrics that actually matter to you.

Workflow automation & agentic systems

What it is: systems that take over recurring, manual steps in how your business runs.
Why it helps: repetitive work — moving data between tools, sorting inbound, routine reports — drains time and invites mistakes.
What you get: the working automation, connected to the tools you already use, plus a plain-language guide so you stay in control of what it does.

Custom AI assistants

What it is: a chatbot grounded in your own content — documents, FAQs, processes — for your team or your customers.
Why it helps: the answers already exist in your business, but people waste time hunting for them, and a generic chatbot just makes things up. This one answers from your real material.
What you get: the assistant connected to your data, a way to update its knowledge as things change, and a short guide. Internal or customer-facing — same foundation.

Beyond the examples

These four are illustrations, not limits. The work is custom, and the advisory step is where we pin down what your situation actually needs.