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The Economics of Agentic AI: Engineering for Imperfection

The Economics of Agentic AI: Engineering for Imperfection

The price of adoption euphoria You played entirely by the book. You procured the most capable enterprise models, mandated adoption across your teams, and put the right metrics in place. The promise was a predictable boost in efficiency. And at first, it delivered. The demos were flawless. The prototypes worked. The agents reasoned with a […]

O'Reilly Radar — AI/ML
You Probably Won’t Read This Article…and That’s OK

You Probably Won’t Read This Article…and That’s OK

“Help! There are too many [LLM bug reports, blog posts about LLM bug reports, books, treatises, codices, scrolls, papyri, cuneiform tablets]! How do I choose which to read?” —Many people, presumably Stop there! If you are reading this, ask yourself how you got here. Did Substack’s algorithm recommend this article for you? Did a juicy […]

O'Reilly Radar — AI/ML
Stop Overengineering Your Agent Harness

Stop Overengineering Your Agent Harness

The following originally appeared on Hugo Bowne-Anderson’s Vanishing Gradients Substack and is being republished here with the author’s permission. The conversation around harness engineering is dominated by problems from coding and personal agents such as OpenClaw, but most agents are simpler. Builders should avoid over-engineering for capabilities that newer models may absorb anyway, the “Kirby […]

O'Reilly Radar — AI/ML
Don’t Neglect the Operational Groundwork

Don’t Neglect the Operational Groundwork

Autonomous agents are moving faster than the field’s ability to govern them, and catching up requires more than better prompts or bigger sandboxes. At O’Reilly’s recent AI Superstream focused on OpenClaw and the broader ecosystem of locally run and self-hosted AI agents, five speakers, each working at a different layer of the stack, explored patterns […]

O'Reilly Radar — AI/ML