AI Agents Built for Production, Not Demos
From single agents that call tools and remember context to multi-agent systems where specialized agents collaborate — I build the AI that powers your product. Production-grade architecture, evaluation pipelines, and the reliability your users expect.
Sound Familiar?
- Your chatbot prototype works in demos but breaks with real user inputs and edge cases
- The agent hallucinates, loses context mid-conversation, or calls the wrong tools
- You need production patterns — rate limiting, fallbacks, error handling — but don't know where to start
- Your single agent is overloaded trying to do everything, and quality degrades as you add more capabilities
- You've outgrown generic frameworks and need architecture specific to your business logic
How It Works
Architecture & Design
I analyze your use case and design the agent architecture — single agent or multi-agent, what tools it needs, how it handles memory, and what guardrails prevent failures.
Build & Integrate
I build the agents with tool-calling, MCP integrations, memory systems, orchestration layers, and the specific business logic your product requires.
Harden for Production
I add the patterns that make it reliable: rate limiting, model fallbacks, structured error handling, input validation, output guardrails, and cost optimization.
Evaluate & Ship
I set up evaluation pipelines to measure quality, deploy with monitoring, and hand off documentation so your team can maintain and extend the system.
What's Included
- Agent architecture design — single agent or multi-agent orchestration
- Tool-calling implementation (APIs, databases, file systems, external services)
- Memory systems — short-term context and long-term knowledge persistence
- MCP integrations for connecting agents to external tools and services
- Multi-agent orchestration — task decomposition, routing, inter-agent communication
- Production hardening — rate limiting, model fallbacks, error recovery, cost optimization
- Evaluation pipelines to measure and track agent quality over time
- Deployment, monitoring setup, and team documentation
Who Is This For?
- Product teams adding AI agent capabilities to their SaaS or platform
- Startups that need a working agent system, not a 6-month research project
- Companies with a chatbot prototype that needs to become production-ready
- Teams whose single-agent solution has hit quality or capability limits and needs multi-agent architecture
Pricing
Discovery
€3,500
Five-day fixed engagement to prove feasibility and ship a working prototype
- Architecture review and written feasibility report
- Working prototype agent (non-production)
- Tool-calling spike and evaluation recipe
- Clear scope and fixed quote for follow-up work
- Full recording and documentation handover
- Fixed price — no hourly surprises
Agent
From €5,500
One production-grade agent for a single use case, shipped to your cloud
- 1 agent with tool-calling, memory, and business logic
- Integration with your existing stack
- Production hardening (error handling, retries, fallbacks)
- Evaluation pipeline with regression tests
- Deployment to your cloud with CI/CD
- 14 days post-launch support
System
From €22,000
Multi-agent architecture built for production scale
- Multi-agent orchestration and routing
- Task decomposition with shared memory
- Inter-agent communication protocols
- Full evaluation pipeline and quality gates
- Production hardening + cost optimization
- 30 days post-launch support
Platform
From €55,000
Complete AI infrastructure across multiple products and teams
- Multiple agent systems and workflows
- Full orchestration platform with reusable primitives
- Continuous monitoring, alerting, and cost dashboards
- Team training, runbooks, and documentation
- CI/CD and multi-environment deployment pipeline
- 60 days support + retainer option
Additional Services
Standalone SKUs that complement the tiers or ship on their own.
- Agent Code Audit (3–5 days)€3,500
- Framework Migration (LangChain → LangGraph, v0 → Claude Agent SDK, etc)From €8,000
- Rush start (engagement begins within 2 weeks)+25%
- Time & Materials day rate (open-ended or extensions)€1,000 / day
Need ongoing support? From €3,000/month
Monthly retainer for maintenance, new capabilities, evaluation tuning, and priority response. Typical engagements run 3–12 months.
Common Questions
Start with a single agent. If its quality drops as you add tools, tasks require fundamentally different expertise, or you need parallel processing — that's when multi-agent makes sense. If you're genuinely unsure, the 5-day Discovery tier (€3,500 fixed) ships a prototype, a feasibility report, and a firm quote for the follow-up work.
Primarily TypeScript and Python. I work with any LLM provider (OpenAI, Anthropic, Google, open-source) and integrate with your existing stack — whatever framework, database, or cloud you're already on. Common agent frameworks: Claude Agent SDK, LangGraph, OpenAI Agents SDK, CrewAI, or hand-rolled.
Discovery: 1 week, fixed. Agent: 2–3 weeks. System: 4–6 weeks. Platform: 8–12 weeks. Rush start (engagement begins within 2 weeks) is available at +25%.
Yes. I deploy to your cloud (AWS, GCP, Vercel, etc.) with CI/CD, set up monitoring and alerting, and provide documentation for your team to maintain.
Two paths. Every tier ships with documentation and a free post-launch support window (14 / 30 / 60 days depending on tier). For continuous evolution there's a monthly retainer from €3,000/month covering maintenance, new capabilities, evaluation tuning, and priority response. Typical retainer engagements run 3–12 months.
Yes. The Agent Code Audit is a fixed 3–5 day engagement (€3,500) that reviews architecture, evaluation coverage, prompt-injection risk, and cost. The Framework Migration package (from €8,000) covers LangChain → LangGraph, v0 → Claude Agent SDK, and similar ports — ships with regression tests so parity is verifiable.
Yes — that's exactly what the Discovery tier is. Five days, €3,500 fixed, and you walk away with a working prototype, a written feasibility report, and a firm fixed quote for production work. Designed so you can de-risk before committing to an Agent or System engagement.
Let's Build Something
Have an AI project in mind? Let's talk about making it production-ready.