AI Integration Services & Custom LLM Integration
AI wired into your product.
An LLM API call is one line of code. Custom AI integration is everything around it: the right model, prompts that survive real inputs, structured outputs, retrieval over your data, retries, evals, and a cost curve you can live with. We build that part — for products and internal tools, at a fixed price agreed before we start.
AI & LLM integrationfrom €4,900
Potential analysis€1,490
Fixed price — in writing before the project starts.
All prices/ Sound familiar?
Why LLM integrations fail after demo day.
01
Works in the test, breaks on real input
The prompt survived ten examples. The thousandth customer email looks different – and the feature returns nonsense someone corrects by hand.
02
The API bill explodes
Without caching, model choice and limits, a feature costs more in month three than the team it was meant to replace.
03
The model knows nothing about your data
Generic answers instead of your prices, your contracts, your documents – because nobody built retrieval over your knowledge base.
04
Nobody can tell whether it got better
Prompt changed, gut feeling good. Without evals nobody knows whether the change fixed five cases and broke twenty others.
/ What's different here
AI integration that is production-ready – not just demo-ready.
Structured outputs instead of free text
Schemas, validation, retries. The model returns data your code can compute with – not prose someone has to parse.
Retrieval over your data
RAG over documents, databases and tickets, with citations. Answers from your knowledge, not from the internet.
Evals and a cost curve from day one
A test set of real cases, measured on every change. Model choice, caching and limits so the bill stays predictable.
Claude, GPT or Gemini – chosen per task
We are tied to no vendor and build so you can switch models later. EU hosting and GDPR are part of the architecture, not a retrofit.
What we deliver
The part after the API key.
/ 01
LLM API integration
Claude API, OpenAI API, or Gemini — chosen per task and wired into your product with structured outputs, function calling, streaming, and fallbacks.
/ 02
RAG & knowledge search
Retrieval-augmented generation over your documents and data, so answers come from your knowledge base with sources — not from the model's imagination.
/ 03
AI features in your product
Summarization, extraction, classification, drafting, search — shipped as product features your users touch, not as a chat box bolted on the side.
/ 04
Reliability & cost engineering
Eval suites, prompt versioning, caching, batching, and per-feature cost tracking — the difference between a demo and something you can run at scale.
Tools we reach for
- Anthropic Claude
- OpenAI
- Gemini
- Vercel AI SDK
- MCP
- pgvector
How we work
Diagnosis first — like everything we do.
Assess
Where AI actually belongs in your product, which model fits each task, and what the feature must cost at your scale.
Design
Prompts, data flow, and failure modes on paper first — what happens when the model is wrong, slow, or down.
Integrate
Build with structured outputs and evals from week one, against your real data — not a happy-path prototype.
Harden
Monitoring, cost tracking, and model upgrades handled deliberately. Providers ship new models monthly; your feature shouldn't wobble.
Said about the studio
We let the work speak first.
I cannot recommend Yuriy enough. He designs and builds beautifully and correctly, communicates clearly, and makes the work fun. If you need a high-performance website for your business — look no further.
Griffin Stewart
Co-Founder, 5DayDeal
Yuriy is by far one of the best developers I've ever worked with. Skill, ability, communication — all top notch. Best of all, he thinks above and beyond the task and recommends a better alternative when one fits.
Gary Rudd
Co-Founder, LifeLock Promo Codes
Yuriy and his team are simply the best. They take a vision and turn it into a complete work of art — every aspect of the solution completed professionally and to perfection.
Douglas Geller
Founder & CEO, GDSI
/ The offer
AI & LLM integration from €4,900 fixed price.
Optional potential analysis €1,490 first · fixed price before start
- Model choice and architecture for your use case
- Prompts, schemas and structured outputs
- RAG over your documents and data
- Evals with real cases, retries and monitoring
- Cost control: caching, limits, model routing
- Compliant hosting and handover with documentation
FAQ
Questions we get a lot.
Everything between an API key and a dependable feature: model selection, prompt design, structured outputs, retrieval over your data, retries and fallbacks, eval suites, monitoring, and cost controls. The API call is the easy 5% — we build the other 95%.
It depends on the task: they differ in reasoning quality, speed, context handling, and price, and the honest answer changes as models ship. We pick per task, benchmark on your real data, and keep the integration portable so you're not locked in.
Two costs matter: the build and the tokens. A first feature starts from €4,900 fixed (two to four weeks); we model the running costs at your usage before the first line of code — so no surprise invoice from your AI provider in month two.
We choose providers and regions to fit your privacy requirements — EU processing options, data minimization, no training on your data — and document exactly what leaves your systems before anything ships.
Constrain and verify: retrieval so answers cite your data, structured outputs so responses are checkable, eval suites that catch regressions, and honest fallback behavior when confidence is low. Reliability is designed in, not hoped for.
Yes – most of our integration work goes into products and internal tools that already exist: a SaaS that needs an assistant, a back office that needs documents read, a support desk that needs triage. We integrate into your stack (Next.js, Node, Python, .NET, PHP) rather than replacing it, and hand over with documentation.
Further reading
From the journal: AI integration done properly.
- 01
Evaluating custom AI integration services
Seven real rules for judging an integration partner before the first invoice.
- 02
Build vs buy software for AI integration
Seven rules for keeping control of costs when adding AI to your stack.
- 03
AI integration rules for digital products
Stop bolting on models: seven rules for products where AI does real work.
Related services
AI automation & workflows
The same wiring, pointed inward: back-office workflow automation that quietly removes hours from a week.
AI agent development
When a feature should act, not just answer — custom agents with scoped permissions and audit trails.
AI consulting & strategy
Not sure what to integrate first? An audit and a roadmap that's honest about cost and feasibility.
Working together
Have a feature that needs a model behind it?
Tell us what your product should do — we'll tell you which model fits, what it will cost to run, and how fast it can ship.