AI Agents in Production (part 1)

Why does 60% of an AI agent's success have nothing to do with the model? In this episode, we explore context engineering: the hidden discipline that separates impressive demos from systems that actually work in production.

Ever built an AI agent that was brilliant in testing but failed miserably in production? The problem isn't the model. It's the context.

In this episode, we cover:

• Context rot: why agents "forget" and degrade over time
• Context blindness: when the agent has information but can't use it
• Context hallucination: the danger of plausible inventions
• Memory architecture: hot, warm, and cold memory for robust agents
• Production patterns: what Manus and Claude Code do behind the scenes

If you're building with AI, this episode will change your approach.

This episode includes AI-generated content.