> ai integrations
AI Integrations That Improve the Product, Not Just the Pitch
I add practical AI capabilities to web products and workflows where they create clear value — without forcing the whole project to revolve around hype.
What this helps solve
You want to add AI features but need them to feel useful, reliable, and aligned with the product.
Your team needs help choosing where AI belongs and where normal software is the better solution.
You need AI features integrated into a real application, not a disconnected prototype.
Typical deliverables
Best fit use cases
Where this service fits best
Customer-facing product features that need chat, generation, retrieval, or summarization.
Internal workflows where AI can accelerate decisions, reduce repetitive work, or improve information access.
Applications that need OpenAI, Anthropic, or similar model integrations in a practical production flow.
Teams that want a sensible implementation instead of bolting on AI everywhere.
FAQ
Common questions
Do you build full AI products?
Sometimes, but more often I integrate AI into an existing product or workflow where it makes the most sense.
Which models or providers can you work with?
I can work with OpenAI, Anthropic, and other provider-based APIs depending on the use case.
Can AI be added to an app we already have?
Yes. That is often the best path — improve the product you already have instead of starting over.