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Product Strategy
Human-in-the-Loop in Agentic Investigations: A Snowball Sprint Storyboard Analysis
"Human in the loop" is the most overused phrase in agentic AI. And the human is almost always in the wrong place. The Storyboard is how you figure out where your human should actually sit. Here is the complete Snowball Sprint Analysis of two real agentic SOC investigation flows — side by side, from public material. Same alert. Same human. Order-of-magnitude difference in MTTR.
What SOC Agents Can Learn from Claude-in-Chrome's Growing Pains
The Chrome Web Store is not where you'd expect to find a blueprint for what's broken in agentic security tooling. But it offers an exceptional glimpse into Agentic AI's growing pains. Claude-in-Chrome — built by arguably the most safety-focused AI lab in the world — sits at 2.7 stars. Read enough of the reviews, and you stop seeing a product failing. You start seeing a category failing. The same patterns show up in every SOC agent deployment I've encountered. The browser just makes them impossible to ignore.
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
Forbes estimates that 85% of AI projects fail to deliver real business outcomes. The common thread in those failures? Teams answered the wrong question. Here's the AI-Question Framework, a tool for driving AI value through picking the right question to help your team avoid the 85% AI death-trap. (By Núria Badia Comas, Guest Author)
