Service
AI Integration & LLM Features
I add AI features that earn their place in a product — content generation, classification, matching, summarization, and automation — using the Claude and OpenAI APIs, wired into real workflows with guardrails.
The problem I solve
AI demos are easy; AI in production is not. Without structure, prompts drift, costs balloon, and outputs can't be trusted. The hard part is making it reliable, reviewable, and cost-aware.
How I work
- 01Identify where AI actually adds value versus where deterministic code is better.
- 02Design prompts and schemas for structured, validated output.
- 03Add human-in-the-loop review where the stakes warrant it.
- 04Instrument cost and quality so the feature stays sustainable.
What you get
- LLM-powered feature integrated into your app
- Structured, validated AI output
- Optional human review dashboard
- Cost and quality monitoring
Tech stack
Claude APIOpenAI APINext.jsTypeScriptSupabase
Related work
Frequently asked questions
Which AI models do you work with?
Primarily the Claude and OpenAI APIs. I help choose the right model for the task based on quality, latency, and cost.
Can you keep AI costs predictable?
Yes — I instrument token usage, cache where possible, and pick model tiers per task so spend stays controlled.
Need ai integration & llm features?
Tell me about your project — I reply within a day and work remotely with clients across the US, Canada, and Europe.
Start a project