AI Agent Launch Package with Matteo Bertoia

Turn your AI idea into a structured path toward a real agent.

Have a business challenge or AI agent idea but aren't sure how to move from opportunity to architecture to implementation?

This package gives you a structured, hands-on journey to explore the right AI direction, shape the solution architecture, validate your approach, and start building it step by step.

Your journey

1. DISCOVER — AI Strategy Call · 60 min

Clarify your context, goals, challenges, and potential AI opportunities. We'll identify what is worth pursuing and define a practical direction.

2. ARCHITECT — AI Architecture Session · 90 min

Turn the selected use case into a high-level architecture direction by exploring the key building blocks, interactions, technology options, integrations, and design decisions.

3. REVIEW — AI Architecture Second Opinion

After the session, formalize or refine your architecture and send it to me. I'll provide a focused written second opinion with observations, potential improvements, and practical recommendations.

4. BUILD — Hands-on AI Agent Session · 90 min

Start translating the architecture into implementation. We'll work together on the core workflow and relevant components such as LLMs, tools, APIs, RAG, memory, data, search, orchestration, and integrations.

5. ITERATE — Hands-on AI Agent Session · 90 min

Continue from the first build, test what has been implemented, address key issues, extend the workflow, and define how to take the agent further.

Depending on your use case, we may work with technologies such as n8n, Supabase, Tavily, LLM APIs, vector databases, RAG components, APIs, webhooks, and other external tools or services.

What you get

A structured path from AI opportunity → architecture → review → hands-on implementation, combining strategic thinking, architecture guidance, written feedback, and 3 hours of guided building.

The goal is not to promise a production-ready AI system within a fixed number of sessions, but to help you make meaningful technical progress, understand the decisions behind your solution, and leave with a solid foundation and clear next steps.