A Field Guide to Harness Engineering
A twelve-part course on what actually goes wrong when agents hit production. And how to fix it. You'll build a production-grade slide-builder agent from scratch, one harness primitive at a time.
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This course explores why AI agents break down in real-world applications and how to design more reliable, production-ready systems using the Rasa framework and modern LLM tooling. Through practical examples and hands-on exercises, participants will learn common failure patterns in agentic workflows, including reasoning errors, tool misuse, memory limitations, and orchestration challenges, while developing strategies to improve robustness, observability, and user experience.
Prerequisites
- Basic Python
- Familiarity with APIs and JSON
- General understanding of large language models and conversational AI concepts
// Course authors
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