Foundation
- Use-case scoping & success metrics
- Provider selection (Claude / GPT / open-source)
- Production deployment
- Cost monitoring & rate limits
All offers
03 / Offers
AI Agent Build
An AI agent your team trusts in production. Evaluated, deployed, costs under control.
A working agent your team trusts.
€25.000 · 4 weeks · Fixed price
A / Scope
What's included
Tools & integrations
- Custom tool definitions
- API integrations (your stack)
- Vector DB / RAG (if needed)
- Memory & context strategy
Quality & safety
- Eval suite for behavior regressions
- Prompt injection defenses
- Output validation
- Logging & traces
Aftercare
- 4 weeks bug-fix support
- Handover docs (prompts, evals, ops)
- 1 follow-up architecture call
B / Process
How it runs
Discovery first: requirements, prioritization, architecture. Then milestone-based delivery, constant communication, no surprises.
- W1
Discovery
Use case, functional & non-functional requirements, success metrics, eval definitions. What does 'working' actually mean?
- W2
Build I
Core agent loop, tools, integrations, first evals running.
- W3
Build II
RAG / memory, prompt injection defenses, cost & rate limits.
- W4
Ship
Production deploy on your accounts, full eval suite, handover docs.
C / Fit
Who this is for, and who it isn't
Who this is for
- + Founders shipping AI features who need them to actually work in production
- + Teams burned by demo-grade agents that drift, hallucinate, or break under real load
- + Operators wanting to add an internal-tool agent to a workflow
Who this isn't for
- − Pure research projects without a production target
- − Anyone expecting AGI / autonomous magic
- − Teams that want a chatbot wrapper, not a real working agent
D / Ownership
What you own
I don't host. I don't rent. I don't babysit. You own everything.
The code
Your repo, your IP, from day 1. No escrow, no transfer drama at the end.
The infrastructure
Your AWS, Vercel, Supabase accounts. I work in them, you keep them, you pay them, you control them.
The AI keys & tokens
Your Anthropic, OpenAI, or other provider accounts. Your spend, your rate limits, your control.
The data
Your database, your users, your knowledge base. I never have access after handover.
E / Reassurance
How we work together
Free 30-min call
Scope your project with me before you commit anything. No pitch deck, no card on file.
30% kicks off
If we both want to move forward, 30% commits the project. The rest is milestone-based after each delivery.
Fixed price, honestly
Scope changes are quoted separately, never absorbed silently.
F / FAQ
Frequently asked
Which models do you support? +
Claude, GPT-4/5, Gemini, open-source. Provider-agnostic, picked per use case.
What's an eval suite? +
Tests for AI behavior. Catches regressions before production. The thing 95% of agent projects skip.
Do you handle vector DBs / RAG? +
Yes. Pinecone, pgvector, Supabase, your choice. RAG done right, not duct-taped.
What about cost monitoring? +
Built-in. You'll see token spend per request, per tenant, per feature.
Can I bring my own API keys? +
Yes. The agent runs in your environment, on your accounts.
How do you prevent prompt injection? +
Layered defenses: input sanitization, tool-permission scoping, output validation. Standard, not bolted-on.
G / Next
Ready to ship?
€25.000 · 4 weeks · Fixed price
Start your 30-min call
No commitment. No pitch deck.
What happens on the call
- 01 We talk through your build, your goals, your constraints.
- 02 We shape the smallest scope we can ship production-grade.
- 03 You walk away with scope, timeline, and a starting price.