Generative AI
AI features that ship to production and earn their keep.
Everyone wants AI in their product; few get past the demo. I build generative-AI features that actually run in production — grounded in your data, reliable under real traffic, and measured against real outcomes.
That means retrieval-augmented chatbots that cite your docs, AI workflows that automate the tedious parts, and LLM integrations that degrade gracefully instead of hallucinating in front of customers.
Start a projectWhat's included
- RAG pipelines grounded in your own data and documents
- Production chatbots and copilots with guardrails and fallbacks
- LLM integration (Claude, GPT, open models) with cost controls
- Vector search, embeddings and prompt engineering
- Evaluation and monitoring so quality stays measurable
A clear, predictable process.
Find the fit
Identify where AI genuinely moves a metric — and where it doesn't.
Ground the model
Wire the model to your data with retrieval so answers are accurate.
Add guardrails
Fallbacks, evaluation and cost controls before anything ships to users.
Ship & measure
Release behind metrics and iterate on real conversation data.
Tech I reach for.
Good questions.
Which AI models do you work with?
Claude, GPT and open-weight models. I pick the model to fit the task, budget and latency — not the hype.
Can the AI use my company's data?
Yes — that's what RAG is for. Your documents and data ground the model so it answers from your truth, not the open internet.
How do you control AI costs?
Model routing, caching, prompt budgeting and token monitoring keep spend predictable as usage grows.
Other services.
Get in touch
Have a project in mind or just want to talk shop? Reach out and let's build something worth shipping.