AI integration for existing products
AI integration for teams that already have a product. Add an LLM feature or an automated workflow that earns its keep in production. The job is a specific capability, not "we should add AI" as a slide.
What AI integration and LLM features look like here
LLM features and workflow automation inside software you already run. The job is one useful capability: drafting, retrieval, routing, or a repetitive ops task taken off someone's plate, with cost and failure modes designed in. Not a chatbot demo glued on the side, and not an "add AI" slide.
- LLM features inside an existing web or mobile app.
- Workflow automation that takes a repetitive ops or content job off someone's plate.
- Guards for cost blow-ups, silent bad output, and features that only work in a demo.
Who this AI integration work is for
Product teams with a real workflow and real data, who want one AI surface done properly. A poor fit if you need a research lab, a model trained from scratch, or a chatbot with no job.
What you will not get
A generic AI transformation program. A ChatGPT wrapper with your logo. Automation that still needs a human on every row unless that review step is designed in on purpose.
Can you add LLM features to our current stack?
Usually yes. The first pass is whether the feature is worth the tokens and the failure modes, not which model is trendy this month.
Do you train custom models for AI integration?
Not as a default. Most products need a well-scoped feature on existing models, with evaluation and a fallback when the model is wrong.
Ready to talk about this?
Send the brief, the repo, or the problem. I read every message and reply myself. Selected work only.
Discuss an AI feature