A good fit if
- You already have a web, mobile, or SaaS product.
- You want to begin with one defined AI feature.
- Your product has data that an LLM could use.
- The feature must live inside the existing product, not as a detached demo.
All AI paths
AI integration for existing products
Add one useful AI feature to the product you already have.
I scope, build, and integrate production-minded LLM functionality — retrieval, structured output, and evals where the feature needs them. You work directly with the senior engineer doing the work, with no agency handoff or junior layer.
One defined opportunity · fixed proposal before work starts · direct senior delivery
- Typical focused scope
- 2–4 weeks
- Price and timeline
- Fixed
- Shipping products
- 12 years
Start with the right opportunity
One useful job, integrated into the real product.
The best first AI feature has a defined user, useful data, and a result that can be reviewed — not a vague instruction to add AI everywhere.
Not the right fit if
- There is no defined user or business problem behind adding AI.
- The real requirement is a complete product rebuild.
- A deep legacy integration must fit inside the typical 2–4-week scope.
- The primary requirement is a formal security audit or load test.
The process
From opportunity to an integrated feature.
01 · Review
Opportunity review
We discuss the existing product, its users, available data, and the job the AI feature should perform.
02 · Scope
Written proposal
You receive the agreed feature, fixed price, and timeline before work begins.
03 · Build
Build and integration
I implement the feature in the existing product, using retrieval, structured output, or evals where appropriate.
04 · Handoff
Working result and handoff
You receive the agreed working feature and deal directly with the engineer who scoped and built it.
What you get
A scoped feature, not an open-ended AI experiment.
- One clearly scoped AI feature
- Integration into the product you already have
- Relevant LLM pipeline components
- Fixed price and timeline before work starts
- Direct senior-engineer delivery
- A result that remains in your codebase
FAQ
Questions about AI integration.
Do I need to know exactly which AI feature to build?
No. Describe the product, its data, and the user or business problem. The first step is to reduce that into one realistic opportunity.
Is this just a chatbot?
Not necessarily. The work can include AI-assisted workflows, recommendations, search, support features, or another LLM integration inside the existing app.
How long does it take?
A focused integration typically takes 2–4 weeks. Deeper legacy or enterprise work needs a separate scope.
How is the price set?
After the initial review, you receive a written proposal with a fixed price and timeline before anything starts.
Who does the work?
You work directly with Ilja, a senior full-stack engineer with 12 years of web and mobile product experience. There is no agency or junior handoff.
Contact
Let's discuss your project.
Pick what you're interested in. Fixed offers get full details in my reply; custom work gets a written proposal. I answer within one business day.