AI PM Wiki

The knowledge graph for AI Product Managers. Auto-curated from 1,000+ daily sources, updated with every newsletter.

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Browse focused collections assembled from published wiki entities.

AI Coding Agents

Coding agents, developer tools, and the companies and concepts shaping agentic software development.

AI Evaluation & Evals

Tools, frameworks, and teams for evaluating AI quality, reliability, safety, and product performance.

AI Prototyping

Tools and methods AI product teams use to prototype, design, and validate product ideas quickly.

AI Research Tools

Research assistants, search tools, labs, people, and methods relevant to AI product discovery.

AI Knowledge Tools

Knowledge bases, retrieval tools, and concepts for organizing and using information with AI.

Tools(227)

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Claude Code

Anthropic’s coding agent/environment used here to control physical tools in a long-running home experiment.

191 mentions

Claude

Anthropic’s conversational AI model family, referenced here as handling a task better than the speaker since around Opus 4.8. It is being discussed in terms of agent capability and workflow delegation.

156 mentions

Cursor

An AI coding tool shown here supporting follow-up questions and a /visualize command that generates a new chart in-chat.

119 mentions

Codex

An OpenAI coding model/tool used here as part of coding harnesses turned into reinforcement-learning environments.

105 mentions

ChatGPT

OpenAI’s chat product, referenced here as the user-owned subscription plan connected to Devin. For PMs, this highlights quota-linked integration patterns.

66 mentions

OpenClaw

A partner company listed in the Sign in with ChatGPT launch set. The newsletter provides no additional context beyond the integration mention.

55 mentions

Gemini

Google’s AI assistant/model family used here as an enterprise work agent that can handle knowledge, media, coding, and sub-agent orchestration tasks.

47 mentions

Qwen

Alibaba's AI model and agent ecosystem brand. In this newsletter it announced new audio models, agent capabilities, and benchmark releases.

46 mentions

People(89)

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Guillermo Rauch

Founder and leader at Vercel, cited for data on bot traffic and agentic usage. His comments reflect how websites and docs are increasingly consumed by agents rather than humans.

131 mentions

Peter Yang

A product-focused creator who demonstrates AI builds and critiques product UX/packaging. In this issue he showcases Tabi and discusses simplifying product surfaces.

115 mentions

Harrison Chase

Co-founder of LangChain, cited here discussing model routing inside an agent harness. He frames many agent steps as cheaper, typed decisions rather than frontier-model generation.

93 mentions

Philipp Schmid

AI practitioner credited here with highlighting the public availability of SynthID Detector.

90 mentions

Simon Willison

A prominent AI blogger and commentator referenced in connection with an article on token reselling and fraud. He is cited as the source of the newsletter item discussing the marketplace and API-key abuse.

89 mentions

Aravind Srinivas

Perplexity’s CEO, cited here for sharing benchmark results on Perplexity Decider.

70 mentions

Lenny Rachitsky

A product writer and commentator sharing emerging PM playbooks for zero-to-one work. Here he highlights a hybrid build-and-coordinate approach for AI product teams.

68 mentions

Logan Kilpatrick

Google AI product lead / developer relations figure frequently associated with Google’s model launches and ecosystem updates.

60 mentions

Companies(93)

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Anthropic

An AI company mentioned for releasing a report on model behaviors and for internal tool use in later context. Relevant for PMs tracking safety reporting and frontier model operations.

199 mentions

OpenAI

OpenAI is an AI company building foundation models and consumer products like ChatGPT. In this newsletter it is discussed in connection with GPT-6, Dots, ChatGPT for Teens, and College Planner.

190 mentions

LlamaIndex

An AI data framework company that demonstrated LlamaParse on a complex earnings deck. Relevant for PMs working with document ingestion and structured extraction.

108 mentions

Hugging Face

An AI model hub and community platform referenced through comments about its usage and download metrics. The newsletter suggests DAUs are more reliable than raw download counts for understanding growth.

86 mentions

Google DeepMind

Google's advanced AI research organization. In this newsletter it is mentioned via SynthID Detector and its Gemini live models.

80 mentions

Cognition

An AI company associated with Devin, mentioned for allowing users to connect personal ChatGPT plans to the agent. Relevant to AI PMs thinking about consumption-based product design.

70 mentions

Vercel

A developer platform whose network traffic and deployments are increasingly agentic according to the newsletter. It is also optimizing documentation content for agents.

70 mentions

DeepLearning.AI

An AI education company sharing Andrew Ng’s views on agent infrastructure requirements. The newsletter cites it as the channel for his argument that agents need more infrastructure, not just better models.

70 mentions

Concepts(59)

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MCP

MCP is a protocol for connecting AI systems to external tools and data sources. Here it is described as the way Granola can use captured context through internal tooling.

48 mentions

AI agents

Autonomous or semi-autonomous workflows that perform tasks, coordinate tools, and execute actions on behalf of users.

19 mentions

deepagents

An agent framework that now supports dynamically loading tools when a skill is loaded. This pattern helps keep toolsets modular and can preserve prompt cache efficiency.

13 mentions

agentic coding

An AI development pattern where models act more like autonomous coding agents. The newsletter uses it to describe both NVIDIA Dynamo’s target workload and GPT-5.5/Codex improvements.

12 mentions

vibe-coding

AI-assisted building pattern where products or workflows are created iteratively with models rather than purely through manual coding.

12 mentions

prompt injection

A security risk where malicious instructions manipulate agent behavior. The newsletter references it in the context of skill/repo scanning tools.

10 mentions

context engineering

The practice of structuring prompts and surrounding context to improve model performance. In this newsletter it is framed specifically for Claude 5 generation models.

9 mentions

RAG

RAG is a retrieval-based pattern that injects external context into prompts to improve model responses. The newsletter presents it as often outperforming fine-tuning for practical product work.

9 mentions

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