AgenticAI
A frontier AI model read nine labeled debugging traces — three from itself, three from each of two peer models, all on the same bug. In a single API call it wrote 101 words describing what the peers did that it didn't. Those 101 words, pasted verbatim into its
AgenticAI
AI agents can already think overnight. They monitor research, evaluate evidence, run scheduled analyses. The compute is async. The delivery isn't. When an agent discovers something at 3am, it has no native way to reach you in the medium where you'd actually act on it. The
AgenticAI
Coding agents hallucinate APIs and forget what they learn between sessions. Andrew Ng just built infrastructure to fix it. Context Hub is an open-source tool that gives coding agents curated, versioned documentation instead of relying on training data. That premise, straight from the README, describes the exact failure mode I
AIEvaluation
Anthropic publishes skills for Claude Code: structured task definitions that tell the model what to build and how. They're designed for Claude. I ran them on GPT-5.4 and Gemini 3.1 Pro too. Claude won. Claude Opus 4.6 averaged 0.825 across four Anthropic skills, against
AgenticAI
Most companies treating agent-pickability as a distribution problem are solving the wrong layer. Getting into training data, appearing in MCP registries, reducing integration friction to five lines of code: that's necessary. It's also table stakes within eighteen months. The durable advantage is further down: whether your
AI
Microsoft gave Office to students for nearly nothing, not as charity but as customer acquisition cost arbitrage. Four years of muscle memory did the selling, and enterprise licenses followed for three decades. Something structurally similar is happening to dev tools, except the conversion funnel has collapsed from years to minutes
AI
Last week I asked Claude to generate architecture documentation for a system I'd built. The system is called naalayiram — an AI-powered exploration platform for 4,000 ancient Tamil poems. Claude produced a 16-page PDF with embedded diagrams, then a comprehensive architecture PNG when I wasn't satisfied
AIStrategy
In November 2025, Google shipped Antigravity, a full IDE built around the Gemini 3 model. By January 2026, Anthropic had extended Claude Code's agentic capabilities into its desktop app. On February 2, 2026, OpenAI released the Codex desktop app for macOS. Three frontier labs, three consumer-facing coding applications,
AgenticAI
When the Same Patterns Reveal Different Products I built two MCP servers to test the same question: should this product be agentic? Same patterns applied to both. One confirmed the agentic hypothesis. The other falsified it. What I'd been calling a "movie recommendation agent" was actually
AgenticAI
A Framework for Deciding If Your Product Should Be Agentic When someone brings me a product idea, my first questions are always the same: Who's the customer? What's the pain? Is there a market? Will they pay? Do that work first. No shortcuts. But once you&
AgenticAI
The System Structure When The Economist declared AI’s war on the “rip-off economy,” they documented a transformation that’s been 50 years in the making. But the real story isn’t just about technology -it’s about feedback loops that have kept information asymmetries stable despite decades of attempted
AgenticAI
If you’ve been building AI agents lately, you’ve probably seen this pattern (pun intended): We’re in the middle of an Agentic AI gold rush. LangChain, AutoGen, CrewAI, and dozens of other frameworks promise to make building AI agents as easy as importing a library. And they do