A recent Manning Publications video on: AI Agents in Action, Second Edition: What You’ll Learn in Chapter One. This post highlights the core topic and why it matters, with the full discussion in the embedded video.
Why it matters: As more teams ship agent workflows, reliability and safety depend less on clever prompting and more on engineering: data contracts, tool boundaries, and observability. Good system design is what turns demos into something you can run daily.
Singularity Soup Take: The agent boom is going to create a lot of fragile, quietly-dangerous automation; the winners will be the teams that treat agents like software—with tests, permissions, and monitoring—rather than like a chat trick.
Watch on YouTube — Manning Publications