AI products
& agents
Agents and models that do real work.
Agentic systems, assistants and generative features on frontier models, wired to your data and shipped to real users. Not a demo deck. A thing people use on Monday.
Most AI projects die between the demo and production. I build the whole path: model choice, prompts and tools, retrieval over your data, the evals that keep it honest, and the interface people actually touch.
It is the same stack behind my own platforms. Vemra, an autonomous growth engine, has generated 9,000+ websites and hundreds of qualified leads with agentic SEO, content and funnel workflows. Zoe is a culturally grounded AI model trained on hours of Black Love stories. Add Pepper turns a pantry into recipes and meal plans.
- You have a use case and no AI team
- A prototype works but is not production ready
- You want AI inside your product, not a chatbot bolted on
Deliverables, end to end.
Agents and assistants
Tool-using agents and copilots on Claude, GPT and open models.
Retrieval over your data
Vector search, Q&A and summaries grounded in your docs and systems.
Generative pipelines
Content, imagery, recipes, games: generated at scale and on brand.
Evals and guardrails
Test sets, scoring and monitoring so quality holds after launch.
Custom models
Domain-tuned models with a point of view, like Zoe.
Production interface
The app, API and UX around the model, shipped and measured.
Four moves. No layers.
- 01
Find the job
Pick the one task where a model saves the most time or makes the most money.
- 02
Prototype in days
A working version on real data, in your hands, before anything is scoped big.
- 03
Harden
Evals, guardrails, cost and latency tuning, then the production interface.
- 04
Ship and tune
Launch, watch real usage, improve the prompts, tools and model mix.
Made it. Shipped it.
Rewire how the business runs.
Let's build yours.
Tell me what you are making and when it needs to ship. You will hear back from me, usually the same day.