Services · AI Integration
AI integration that
actually ships.
Wire OpenAI, Anthropic Claude, or an open-source model into your existing product. Streaming chat, tool-calling, structured output, RAG, eval, observability. No platform rewrites.
What I integrate
OpenAI
GPT-4o, GPT-4o-mini, the o-series for reasoning, plus Assistants, function-calling, and structured outputs.
Anthropic Claude
Claude Sonnet and Opus, the messages API, prompt caching, tool-use, computer-use where it fits.
Open-source LLMs
Llama, Mistral, Qwen via Ollama, vLLM, Together, or self-hosted GPU - when data residency or unit economics demand it.
Provider gateways
Vercel AI Gateway, OpenRouter, custom routers for model failover and cost shifting.
What you get
Streaming UI
Token streaming, partial state, cancellation, retry. Vercel AI SDK or a custom transport against your stack.
Tool-calling agents
Models that call your APIs to do real work, with human-in-the-loop checkpoints where it matters.
RAG over your data
Production retrieval with hybrid search, reranking, and citation grounding. See the RAG tutorial.
Eval harness
A labelled set, golden answers, regression tests. Prompts stop being a guessing game.
Observability and cost
Per-request logs, latency p50/p95, token cost, model attribution. Dashboard you can actually read.
Guardrails
Prompt injection defenses, output validation, fallback paths, refusal policies. Not optional in 2026.
Pricing
| Scope | Timeline | Price |
|---|---|---|
| Single AI feature integration (chat, summarization, classification) | 1-3 weeks | $3.5K-$15K |
| RAG over your docs with eval | 3-6 weeks | $15K-$35K |
| Agentic feature with tool-calling + HITL + observability | 4-8 weeks | $20K-$45K |
| Hourly retainer post-launch | Ongoing | $100/hr |
Frequently asked questions
What does AI integration actually cover?
Wiring an LLM into your existing product so it does useful work: streaming chat, structured output, tool-calling, function execution, retrieval-augmented answers, summarization, classification, agent loops with human-in-the-loop checkpoints. Plus the unglamorous parts - eval, observability, cost monitoring, rate-limit handling, fallbacks.
Which models do you work with?
OpenAI (GPT-4o, GPT-4o-mini, o-series), Anthropic Claude (Sonnet, Opus), Google Gemini, and open-source via Ollama/vLLM/Together for self-hosted needs. The Vercel AI Gateway makes provider swaps trivial in most stacks.
Do you replace my existing backend?
No - integration means meeting your stack where it is. Most clients keep their existing API and database. I add an AI layer behind a clean interface so you can iterate the model without touching the rest of the app.
How long does an AI integration take?
Simple integrations (a streaming chat widget over your docs) ship in 1-2 weeks. A full agentic feature with tool-calling, eval, and observability is typically 3-6 weeks.
What about cost control and evals?
Both included by default. I set up per-request cost logging, latency tracking, and an eval harness so model changes can be tested before deploy. Skipping this is how AI features quietly burn budget.
Where are you based?
Pristina, Kosovo. CET timezone. Working with clients across Europe and North America. See the page for hiring an AI developer in Kosovo for context.