A young reader got so frustrated with the FT’s news product that she built her own using Claude Code. She’s paying for a subscription, she wants personalized news, and she couldn’t figure out how to get it. (Jodie Hopperton, INMA)

The vibe is Palantir cosplay: World Monitor by Elie Habib is a real-time “situational awareness” dashboard with threat feeds, geopolitical maps, and a three-stage AI classification pipeline. He calls it a “weekend hack.”

“Not ‘how do I get paid for my articles by AI’ but ‘how do I architect my knowledge so it can reach customers I’ve never had access to before'”: A three-layer AI monetization framework, with O’Reilly as proof of concept. (Florent Daudens, AI in the News)

Which AI to use: Free users don’t get the good AI, and even if you pay, you have to pick thinking mode. Once you’ve done that, the model matters less than the harness. For newsrooms: curated archive retrieval, a system prompt encoding editorial voice, CMS integration, verification. (Ethan Mollick, One Useful Thing)

There’s no neat technical fix for that: The more useful an agent is, the more access it needs, and the more access it has, the riskier it gets. Yes, it’s about the Moltbot/OpenClaw agent craze, but also, it’s not. (Dan Hon, Things That Caught My Attention)

Moltbook, the viral “social network for bots,” looked like a glimpse of the AI agent future. It wasn’t. And some of it was humans shitposting. (Will Douglas Heaven, MIT Technology Review)

Your AI agent is a snitch: We’re chatting on Signal, enjoying encryption, right? But your DIY productivity agent is piping the whole thing back to Anthropic. (John Scott-Railton, X)

Why you shouldn’t use AI browsers like Atlas or Comet with logins to email, SharePoint or any other online service right now—even though that’s a major part of what makes an AI browser interesting. (Simon Willison’s Weblog)

A plea for publishers to ditch their walled-garden AI approaches and embrace emerging open standards like Model Context Protocol. (Ben Werdmuller, werd.io)

What makes workflows different from agents? A good introduction and explanation from Anthropic, and a case for keeping things simple.