AI PM Roadmap: Six-Level Guide From Model Basics to Agents and Your First Eval
aakashgupta · x · 2026-10-04
Aakash Gupta shared a structured AI learning path for product managers, organized into six levels each with a dedicated guide: AI foundations (a 5,000-word first-principles primer covering neural networks, LLM taxonomy, the AI company landscape, and AGI timelines, inspired by Chamath Palihapitiya's AI deep dive), context engineering ("hallucinations are context failures long before they're model failures"), Claude Code for PMs, AI agents (one folder per area, one skill per task, connect only daily-use tools), building your first eval, and pricing AI products. His core argument: rather than chasing every new AI tool, PMs should master the underlying order—understand the model, feed it context, and run agents on real work.
Related event: A Six-Level AI Learning Path for Product Managers(2 posts)→
More from coding & agent
- SpaceX engineer: AI agents now merge PRs on their own — over 1,000 a month — itsOmSarraf_ · 2026-10-05
- Opus 5.5 as daily driver, GLM for cheap prod: a practical model split — ivan_bezdomny · 2026-10-05
- Astra agent reverse-engineers macOS binaries to clone all 27 Liquid Glass effects in GPUI — steipete · 2026-10-05
- Jeff Dean's 1-hour AI engineering lecture: from LLM basics to graph-orchestrated agent swarms — glenbeer · 2026-10-05
- Fully local parkour sim vibe-coded with GLM 5.3 Flash on 2x DGX Sparks, recipe open-sourced — -dysangel- · 2026-10-05
- Someone mapped an entire company's workflows onto OpenAI Dots — a playbook solo builders can steal — Roger_M_Taylor · 2026-10-05