AI News
TL;DR * The real value of AI isn't automation. It's enabling a fundamental shift in how your teams work. * AI projects fail when people don't trust the system enough to change their behavior. Explainability fixes that. * The difference between an AI tool and a
AI News
TL;DR * Most organizations force teams into either constant change or rigid efficiency. They're missing the point: both modes are essential. * Jim Highsmith's explore/exploit framework gives you a practical way to dynamically balance adaptation and optimization based on real conditions. * The handoff points between modes
AI News
Organizations aren’t struggling to generate insights anymore. They’re struggling to act on them. We’ve spent a decade building predictive intelligence. Now we need to make it accessible. Predictive AI can do the math. GenAI can explain it. That’s the division of labor emerging across enterprise AI.
Weekly Insights
A strange contradiction is consuming Silicon Valley. While TSMC commits $56 billion to AI chip production and OpenAI signs $10 billion infrastructure deals, enterprises are demanding their first real ROI reports from AI investments. Venture capitalists deployed 65% of their dollars into AI startups, yet surveys show 91.4% of
AI News
The Real Significance of Anthropic's Cowork Launch Anthropic didn't set out to build Cowork. They stumbled onto it. When Claude Code launched, Anthropic expected developers to use it for what the name suggested: coding. But something strange showed up in the usage data. Engineers were using
AI News
What vibe coding means for the other side of the software lifecycle "Vibe coding" was the Collins Dictionary Word of the Year 2025. Describe what you want, AI writes the code. How about Vibe Config? That might be actually more interesting for most companies. A parallel shift is
Weekly Insights
The Great AI Infrastructure Repricing: Why Your $2 Million AI Budget Just Became $200K The enterprise AI market is about to experience the most dramatic cost collapse in computing history. While everyone obsesses over who builds the biggest models, the real story is infrastructure commoditization happening right under our noses.
AI News
Why Your AI Demos Fail in Production: The Case for Multi-Agent Discussion Panels TL;DR * Multi-agent AI systems that mimic real team dynamics can solve complex enterprise problems that single-model approaches can't handle * A four-role architecture with Researcher, Expert, Critic, and Moderator creates reproducible, auditable decision-making workflows * LangGraph&
AI News
* Fixed-size chunking at 512 tokens actively destroys the context your retrieval system needs to work * Semantic chunking that respects document structure can improve retrieval accuracy by up to 30% * RAG is fundamentally a system design problem, not just a retrieval optimization challenge * Bridging the demo-to-production gap requires rethinking chunking, retrieval,
AI News
Most AI agents don’t need this. If your agent has a clear job and a handful of tools — answer customer questions, review documents, analyze data — the standard approach works fine. The AI knows what it can do, picks the right action, does it. Simple. But some agents face different
AI News
January 2026 The healthcare industry just got a major AI wake-up call. OpenAI has officially thrown its hat into the ring with not one, but two dedicated healthcare products—signaling that the company sees medicine as one of AI's most consequential frontiers. The Numbers Don't Lie
AI News
TL;DR * Google launched the Universal Commerce Protocol (UCP), an open standard for AI agent-based shopping, developed with Shopify, Etsy, Wayfair, Target, and Walmart * This creates a unified framework for AI agents to handle everything from product discovery to post-purchase support, potentially reshaping how consumers find and buy products * The