AI Integration

Add AI features to your existing product. Whether it's a chatbot, document processing, or smart recommendations — I'll plug it in cleanly.

There's a lot of AI hype and a lot of AI waste. I focus on AI that does something genuinely useful: answering customer questions accurately, processing documents automatically, extracting structured data from unstructured input.

I've built RAG systems for multilingual e-commerce (30+ languages), document analysis tools for fintech, and AI chatbots that actually stay on-topic. I know what works in production and what looks good in demos but falls apart with real data.

I work with OpenAI and Anthropic's Claude. I'll recommend the right model for your use case — not the most expensive one.

What's included

  • OpenAI (GPT-4o) and Claude integration
  • RAG (retrieval-augmented generation) with vector search
  • AI chatbots with conversation memory and context
  • Document analysis, extraction, and classification
  • Embedding pipelines and semantic search
  • Prompt engineering and output validation

How I approach this

01

Define what 'good' looks like

What should the AI do? What's an acceptable error rate? What are the failure modes you can't tolerate?

02

Choose the right approach

RAG, fine-tuning, or pure prompting? The right choice depends on your data, latency requirements, and budget.

03

Build and evaluate

Build the pipeline, then evaluate it against real examples. Iteration is built into the process.

04

Deploy with guardrails

Output validation, rate limiting, cost monitoring. AI in production needs more guardrails than most integrations.

Relevant projects

Iurii RoguliaAvailable

Ready to discuss your ai integration project?

Tell me what you're building. I'll get back to you within 24 hours.

All services