Want AI in your product?
Adding AI is easy to demo and hard to make dependable. I build LLM features that behave like software: structured output, graceful failure when a provider is down, and usage you can keep within budget.
01 — Sound familiar?
02 — What you get
Answers constrained to a defined structure, so the UI never breaks on unexpected output.
A chain of models (for example Gemini and OpenRouter) so one outage or quota limit doesn't take the feature down.
Input validation, rate limiting and clear error messages for users.
Into WordPress via a custom plugin, or into a Next.js app via API routes.
03 — How it works
Find the one AI feature with clear value and measurable success.
Test it on your real content before building the full feature.
Add structured output, fallbacks, limits and error handling.
Launch with usage and cost visibility.
04 — Related work
A chatbot that decides how to present each answer (cards, charts, tables, code and 20+ other component types) and renders that interface in real time from structured LLM output.
UI component types25
05 — FAQ
Whichever fits the job and budget, often Gemini or models through OpenRouter. The design avoids locking you in to a single provider.
Costs are estimated up front and controlled with rate limits, caching and the right-sized model for each task.
Yes, through a custom plugin that calls the AI provider from the server, so API keys are never exposed in the browser.
Tell me what's going on. You'll get a reply with a clear next step.
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