AI integration services that survive production.
GPT, Claude, Whisper, custom RAG, agents, voice. Wired into your existing app with cost guardrails and latency budgets. Not a demo — a deployed system.
What's included
Production-grade AI integration services that ships, not theater.
- Provider-agnostic LLM client (GPT-4, Claude, Gemini)
- Custom RAG pipelines (Postgres pgvector, FAISS, Qdrant)
- Agent workflows with tool use + structured output
- Streaming responses (Server-Sent Events / WebSockets)
- Cost guardrails, retry logic, fallback chains
- Evals harness so quality survives prompt drift
What you walk away with
Deliverables you keep — code, infrastructure, and the runbook.
- Integrated AI feature deployed to production
- Eval suite + monitoring dashboard
- Cost projection and per-user economics
- Documentation for your team to extend it
Frequently asked
Which AI providers do you work with?+
OpenAI (GPT-4, GPT-4o, o1), Anthropic (Claude Sonnet, Opus, Haiku), Google (Gemini), and on-device (Whisper, KoboldCpp, CLIP, FAISS). Provider-agnostic clients let you swap models without rewriting features.
How do you prevent runaway AI costs?+
Per-user rate limits, request caching, prompt caching for repeated context, model-tier fallback (Sonnet for hard tasks, Haiku for cheap ones), and live cost dashboards. I share unit economics before launch so you know what each user costs.
Can you build a RAG system over my existing data?+
Yes — ingestion pipeline, chunking strategy tuned to your content, embeddings, hybrid search (vector + BM25), reranking, and evaluation. Postgres pgvector for most cases, Qdrant or FAISS for larger corpora.
Do you build AI agents that take actions?+
Yes — tool-use agents with structured output, guardrails, and approval gates for risky actions. I prefer narrow, observable agents over open-ended ones.
What about AI evaluation and quality drift?+
Every integration ships with an eval harness — golden examples, regression tests, and a dashboard. When you swap models or change prompts, you see quality impact before deploying.
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From $8,000Ready to scope your AI integration services?
Email me what you're building. I'll respond with a quote, scope questions, and a clear next step.