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What is awesome-ai-product-management?

aza-ali/awesome-ai-product-management — explained in plain English

Analysis updated 2026-05-18

24Audience · pm founderComplexity · 1/5LicenseSetup · easy

In one sentence

A curated, community-maintained list of AI tools, frameworks, newsletters, books, and people to follow for product managers working with AI.

Mindmap

mindmap
  root((AI PM List))
    Tools
      Research Synthesis
      Prototyping
      Feedback Management
    Learning
      Frameworks
      Newsletters
      Podcasts
    Landscape
      Research Reports
      People to Follow
    Contributing
      One Resource Per PR
      Descriptive Language

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Find AI-assisted tools that product managers use day to day for research, prototyping, and feedback synthesis.

USE CASE 2

Build a reading list of frameworks, newsletters, and books to develop AI product management judgment.

USE CASE 3

Discover specific people and communities to follow for ongoing AI product management thinking.

How does it compare?

aza-ali/awesome-ai-product-management0311119/free_registertool18597990650-lab/multi-agent-game
Stars242424
LanguagePythonPython
Setup difficultyeasyhardmoderate
Complexity1/54/53/5
Audiencepm founderdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
Public domain: use, copy, or modify this list for any purpose without asking permission or crediting the author.

So what is it?

This repository is a curated reference list for product managers who work on or alongside AI products. It collects tools, reading material, podcasts, communities, and people worth following, grouped by category. The tools section covers AI-assisted software that product managers use in day-to-day work: tools for synthesizing research and documents, tools for prototyping and reading code, and tools for managing feedback from users. Examples include AI writing assistants for drafting product specifications, platforms for organizing user research, and meeting capture tools. The frameworks section links to essays and documentation intended to help product managers think more clearly about AI products, including how to design around language models, how the product manager role is changing, and how the relationship between PMs and AI engineers is evolving. The reading and podcast sections list newsletters and shows that the list author considers substantive, covering AI research, product strategy, and engineering. The research section collects recent industry reports from firms like Sequoia and a16z, as well as the annual Stanford AI Index, all from 2025 and 2026. The people section is a short table of individuals the author tracks for PM and AI content, covering both traditional product management voices and people focused on AI engineering and agentic software. Contributions are accepted via pull request. The guidelines ask for one resource per PR, descriptive rather than promotional language, and resources that have a direct connection to product management or AI. The list is released under the Creative Commons Zero license, meaning the author has waived all copyright. There is no code in this repository.

Copy-paste prompts

Prompt 1
I'm a product manager getting started with AI tools. Walk me through the tools section of this list and help me pick one to try this week.
Prompt 2
Summarize the frameworks section of this list and explain how a PM could use it to design around language models.
Prompt 3
Based on the reading and podcast sections of this repo, recommend where a PM new to AI should start.
Prompt 4
List the research reports mentioned in this repo and tell me what each one covers.
Prompt 5
I want to add a resource to this list. Show me the contribution guidelines and give me an example pull request entry.

Frequently asked questions

What is awesome-ai-product-management?

A curated, community-maintained list of AI tools, frameworks, newsletters, books, and people to follow for product managers working with AI.

What license does awesome-ai-product-management use?

Public domain: use, copy, or modify this list for any purpose without asking permission or crediting the author.

How hard is awesome-ai-product-management to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-ai-product-management for?

Mainly pm founder.

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