I will integrate openai, claude, or gemini API into your app


About this gig
Want to add AI to your product but tired of demos that break in production? I integrate OpenAI (GPT), Claude, and Gemini APIs into real apps and workflows - with the error handling, cost controls, and logging that make them reliable.
What I deliver:
- LLM features in your app: summarization, classification, extraction, chat, reports
- Structured outputs: JSON schemas, function/tool calling, validation, retries
- Cost control: model selection, prompt caching, token budgets, usage logging
- Stacks: Python, Node.js/TypeScript, Next.js, PHP/WordPress, REST APIs, webhooks
Why me:
- I run my own AI products: an LLM content pipeline behind a 600+ page website (see portfolio), plus AI browser automation
- Measurable acceptance criteria: inputs, outputs, latency, cost per call - not "AI magic"
- Clean handover: source code, docs, env setup, deploy notes
How it works:
1. Tell me your stack and what the AI feature should do
2. I confirm scope and a fixed price before starting
3. You get working code, docs, and revisions per package
Not included: model fine-tuning, scraping behind logins, or anything against API providers' policies.
Get to know Yang G
Founder
- FromChina
- Member sinceMay 2026
Languages
Chinese, English
My Portfolio
FAQ
Which AI providers and models do you work with?
OpenAI (GPT-4 class and newer), Anthropic Claude, and Google Gemini. I pick the model per task based on quality, latency, and cost - and I will tell you why.
Do I need my own API key?
Yes. You provide the API keys (or I help you set up the accounts). Usage costs stay on your account, and you keep full ownership and visibility.
Can you work inside my existing codebase?
Yes - most of my work is adding AI features to existing apps: Python, Node.js/TypeScript, Next.js, PHP/WordPress. Send a repo link and I will confirm feasibility before you order.
How do you keep API costs under control?
Right-sized models, prompt caching, token budgets, batching where possible, and usage logging so you can see cost per feature. Cost expectations are agreed before I start.

