Airbnb Replaced Press 1 With Four ML Models That Actually Listen
Airbnb replaced rigid phone menus with four ML models running in real time: ASR, intent detection, semantic retrieval, and paraphrasing. WER dropped from 33% to 10%.
How Netflix Turns Generic LLMs into Recommendation Engines
Netflix's recommendation engine drives 80% of viewing. Here's how they built a post-training framework to adapt LLMs for their catalogue from SFT to RL.
Claude Channels lets external systems push events into a live Claude Code session. Here's what it is, how it works, and why it matters for AI product teams.
What Is Agentic RAG And Why Regular RAG Isn't Enough Anymore
Classic RAG retrieves once and generates. Agentic RAG retrieves in loops, checks what it found, and goes back for more. Here's what that means for the AI products.
WTF Is The Difference Between Claude, Claude Code, Claude Cowork
Anthropic now has three products called Claude. One is a chatbot, one writes your code, and one manages your files. Here's how they're different and when to use each.
Everything You Must Know About Mixture of Experts (MoE)
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.
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.
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.
