Claude API · Extraction · Classification

LLM Integration Developer in the Philippines

Les John Paul Oliver · Urdaneta City, Pangasinan, Philippines · Remote worldwide

You know AI could help your product, but not where it pays off or how to ship it without surprises. I add LLM features to the app you already run, scoped to what users will actually use, with cost and failure handling designed in from the start.

Examples from my own work: a Claude Haiku parser that turns messy supplier product titles into clean catalog fields for a sneaker marketplace, and a Chrome extension that turns a free-text track description into structured music metadata in one pass.

Typical LLM features

  • Extraction: pull structured fields out of titles, emails, PDFs, and forms.
  • Classification and routing: tag, prioritize, and send items to the right queue.
  • Drafting: first drafts of replies, summaries, and reports for a person to approve.
  • Tool use: let the model call your APIs for lookups, never unchecked writes.

Shipping it safely

Model choice per task (a small model where it's enough), prompt caching to cut cost, rate limits, logging, and a fallback when the API is slow or down.

Proof: work I shipped

Questions people ask

Can you add AI to my existing app?

Yes. That's the usual job: a new endpoint or worker next to what you have, not a rewrite.

Which LLM should I use?

It depends on the task, volume, and budget. I usually start with Claude, testing a smaller model first, and only move up where quality needs it.

How much does LLM integration cost?

Pricing depends on scope. Book a free 30-minute call and you get a straight answer on cost and timeline.

Sa Filipino

Pwede bang lagyan ng AI ang app namin ngayon?

Oo. Kadalasan, nagdadagdag lang ng bagong feature sa tabi ng kasalukuyang app, hindi kailangang gawin ulit mula sa simula.

Pricing depends on scope

Book a free 30-minute call. You get a straight answer on cost and timeline.

Book a free 30-minute call