Kameleoon

Build a Team OS Using Claude Code

This article outlines a practical guide for product managers to build a Team Operating System (Team OS) using Claude Code and a shared repository. It describes a repository architecture (root Claude MD, folder-level CLAUDE.md files, and a .claude/ folder for agents, commands, and skills), an ownership model, and a three-tier context-loading strategy (always-loaded root, folder-level indexes on query, and content loaded on demand) to conserve LLM context window and reduce hallucinations. The piece covers planning workflows (plan mode, lightweight alignment), agent orchestration (temp files, verification prompts), analytics integration (queries, schemas, Snowflake), and operational practices to keep the repo current. Examples, templates, a checklist for feature launches, and recommended daily prompts and automation flywheels are provided.

AI PM Masterclass: Complete 2026 Guide

Aakash’s episode features Jyothi Nookula in a comprehensive masterclass on becoming an AI product manager in 2026. The guide defines a taxonomy of AI PM roles (traditional products with LLM additions vs AI-native products), explains where different PM roles sit in the technical stack, and provides decision frameworks for when to use AI. It reviews which AI approaches fit which problems (traditional ML, deep learning, LLMs/Generative AI), and emphasizes practical techniques: prompt optimization, context engineering, and Retrieval Augmented Generation (RAG). The episode also defines agent architecture (perception, reasoning, execution, learning), contrasts workflows vs agents, and gives job-search advice including recommended portfolio projects (user-facing app, an agent demonstrating goal-oriented reasoning, and a RAG grounding system) and complementary certification suggestions.

Evals Become the Modern PRD for AI Product Teams

A podcast episode and live demo with Ankur Goyal (Founder & CEO of Braintrust) argues that structured "evals"—datasets, task definitions and scoring functions—should replace traditional PRDs for AI product development. Braintrust, which announced a Series B at an $800 million valuation, powers eval workflows for customers including Replit, Vercel, Airtable, Ramp, Zapier and Notion. In the demo the hosts connected to Linear’s MCP server, auto-generated test data with Opus, iterated prompts and scoring functions, and improved a model score from 0 to 0.75. The piece explains offline vs. online evals, the data-task-scores framework, and recommends PMs own evals and scoring functions to create durable, model-agnostic product specifications.