AI solutions for a real product
I wire AI into an existing product: LLM integrations (OpenAI, Anthropic), RAG on your documents, TTS (StyleTTS2) and audiobook pipelines, workflow automation, and a Next.js UI. 11+ years shipping software — the model is a step, not the product.
- Chatbots and assistants on OpenAI / Anthropic — bound to your data and your tools
- RAG pipelines, not a generic chatbot with a logo
- Text-to-speech (StyleTTS2) and audiobook generation when the product is audio
- A human confirms anything that spends money or writes to the system of record
How I would add a model
01
Pick one document type or ticket queue. Name the action the model is allowed to take.
02
Retrieval, tools, and an audit trail. No silent writes.
03
Ship behind a flag. Measure. Then a second workflow.
A chatbot produces text. An agent calls tools. I will not give a model the till. Money, deletes, and legal copy stay behind a human confirm.
Usually no. The valuable work is the pipeline and the UI in the product you already have.
Send the constraint and the first action. I reply with the smallest version I would ship — and what I would refuse.
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