AI Products
Personalized AI assistants and features: from API keys to RAG on your context.
The problem
You want to add AI to your product but aren't sure if an API key is enough, you need RAG on your data, or you must integrate into an existing codebase.
The solution
We start from your idea, pick the right architecture, and I implement chat, assistants, or AI pipelines — including directly on your repository with Git versioning.
Indicative budget
€1,500 to €25,000+ (by tier)
Timeline
1–8 weeks (by tier)
Tiers and investment
Indicative ranges; final quote depends on scope, volume, and integration complexity.
| Tier | Description | Indicative budget | Timeline | What's included |
|---|---|---|---|---|
| Base integration (API) | Chat or assistant connected to a model via API key — ideal to validate the idea quickly. | €1,500 – €8,000 | 1–3 weeks |
|
| Contextual AI (RAG) | Answers personalized to your business via indexed documents, FAQs, or data in a knowledge base. | €3,000 – €15,000 | 2–6 weeks |
|
| Existing project integration | Work on your GitHub repo: add me as collaborator, I develop on a dedicated branch, you decide when to merge to production. | €2,000 – €25,000+ | 1–8 weeks |
|
What's included
- ✓Initial workshop on goals, users, and constraints
- ✓Choice between direct API integration or knowledge-base RAG
- ✓Secure API key and environment setup
- ✓Custom system prompts and conversational flows
- ✓RAG: document/data indexing and contextual retrieval
- ✓Chat UI, widget, or API endpoint as needed
- ✓Integration on client repo (GitHub collaborator invite)
- ✓Dedicated feature branch; you decide production merge
What's not included
- —Provider API usage costs (OpenAI, Anthropic, etc.) — billed to client
- —Training custom models from scratch
- —Heavy enterprise compliance (SOC2, HIPAA) without dedicated quote
- —Dedicated AI infrastructure hosting beyond agreed scope
What you receive on delivery
- •Integrated code (new repo or branch on your GitHub project)
- •Env config and `.env.example` for API keys
- •RAG / prompt setup and deploy documentation
- •Handoff session on architecture and maintenance
- •PR or branch ready for your review before production merge
Stack
Who it's for
Startups, SMBs, and teams with an existing product or idea to validate who want tailored AI without a dedicated in-house team.
Service FAQ
Do I provide the API keys?
Yes — the account and usage costs stay in your name. I help with secure setup and best practices (env, limits, rotation).
How does RAG on my data work?
We index documents or content you provide (PDFs, text, DB exports) in a vector store; model answers use that context.
Can you integrate only into a project I already have?
Yes — add me to your GitHub repo, I work on a separate branch and deliver the feature ready for review and merge when you want.
Who pays model costs?
API costs (tokens, cloud vector DB if used) are separate from my development fee and billed to the client.