Shopify’s River: The AI Agent as Organizational Memory
Shopify’s River shows why the next internal AI-agent advantage may come from making work visible, searchable, and reusable.
Shopify’s River shows why the next internal AI-agent advantage may come from making work visible, searchable, and reusable.
Claude Code’s /goal, hooks, checkpoints, and agents show where AI coding tools are heading: from chatbots to governable workflow-control layers.
Why the future of AI products is not one giant model everywhere, but a hybrid intelligence stack of frontier models, SLMs, open models, routing, and evals.
A practical 30-day guide for PMs learning AI: operate on real work first, brief models well, add context, test quality, and ship safe AI features.
Everyone is celebrating how fast you can build. Nobody is asking whether you should.
Zapier says it has 800+ AI agents deployed internally, more than its employee count, and 89% AI adoption across all employees. Postman says its Agent Mode can save developers up to 1,150 hours per year. Cogent says customers have cut the time critical vulnerabilities stay open by 97%. The
Karpathy’s LLM wiki idea points to a bigger shift: AI products may win by maintaining compounding knowledge infrastructure, not just answering questions.
Anthropic shipped a source map to npm by accident. 512,000 lines of Claude Code exposed. Here are the 7 things every PM should take away.
What the AI era actually demands from product managers
What 24/7 usage of AI Agents taught us about reliability, context, and voice UX.
An open-source project hit 200K GitHub stars in under three months. Its architecture is a blueprint for how AI agents will be built - and every PM should understand why.
Anthropic's internal playbook - and what PMs can steal from it
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Product Management
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