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Being a great AI PM is hard. This newsletter makes it easy.
One clear idea per email. That’s it.
Zuckerberg even offered $3 billion to buy it. Spiegel said no. Here's the rise, the copy, and the decade-long search for a second act.
Mixture of Experts (MoE) is the architecture behind GPT-4, Gemini 1.5, and Mixtral. Here's a PM-level explanation of how MoE works and why it matters for your API budget.
Grab's personalisation ran on one day old data. Here's how they rebuilt it to react in under 15 seconds — with no engineering required for each new use case.
Spotify's ad planning took 30 minutes and 20+ form fields. Here's how six AI agents cut it to 10 seconds, and what the architecture actually looks like.
Claude launched "Channels" allowing vibe coders to continue coding without being on their systems. This is how it works.
Notion reached a $10 billion valuation on just $344 million raised. Here's how a free personal tier and an accidental template ecosystem became its growth engine.
AI agents fail because of poor memory, not bad models. Learn the 4 memory types, why they break, and how to fix your agent’s performance across sessions.
LinkedIn fine-tuned a 7B-parameter LLM to power job recommendations for 1.2 billion members. Inside the system that delivered their biggest single-model improvement ever.
Design had always been a solo activity. Designer worked on a file, saved it, emailed it to a others, they added comments, and the cycle repeated. Figma found it broken.
How do you know if your AI product is quietly giving users wrong answers? Learn how LLM observability works — traces, spans, LLM-as-judge, and why a 200 OK status code tells you nothing about quality. (Remember to click on"show pictures")
Real AI chatbots failed at Chevrolet, DPD & Air Canada. Here’s how guardrails prevent hallucinations, PII leaks, prompt injection & costly AI mistakes.
LLMs also think and reason. They generate intermediate steps, check its own logic, and build toward an answer piece by piece.
