AI Engineer Europe Workshop

Written By Madalina Bita

In this hands-on session, you will build an end-to-end AI system that combines an autonomous research agent with a highly structured technical writing pipeline.

What You Will Build & Learn

  • The Deep Research Agent: Build an MCP-powered agent that plans research strategies, searches the web, analyzes YouTube videos, and synthesizes reliable, cited data.

  • The Technical Writing Pipeline: Connect your raw research to a constrained, review-driven workflow designed to produce clean, high-quality content (without the AI "slop").

  • Architecture Tradeoffs: Learn exactly when to use autonomous agents (best for exploratory research) versus tightly controlled workflows (best for writing and formatting).

  • Observability & Evaluation: Implement practical monitoring tools to ensure your AI system is measurable, reliable, and actually works outside of a demo environment.

You will leave with your own fully functional deep research and writing system, backed by a clear understanding of the real-world engineering tradeoffs required to build it.

Madalina Bita
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O’Reilly AI Superstream: Context Engineering