People & Experts

A creator and commentator who shares practical workflows for Claude Code and personal operating systems for agents. He appears here as a curator of implementation advice for AI builders.

Peter Yang is a high-signal curator of practical AI-builder workflows, especially around Claude Code, Codex, and agentic systems.

Developer and writer known for his AI tooling commentary and the `llm` project. He is credited here with the 0.32a2 release note.

Simon Willison is a key interpreter of AI tooling changes, especially where model APIs affect developer and product workflows.

CEO of Vercel and a prominent builder in the AI developer tooling space. He is mentioned releasing npx deepsec and using a Claude agent team to remediate issues quickly.

Guillermo Rauch is one of the most frequently cited figures in 2026 AI PM coverage, especially around agentic developer tooling.

Product and growth writer/podcaster focused on startups and PM topics. He is cited here for commentary on Anthropic’s operating pace and PM compensation content.

Lenny Rachitsky is a major source of practical product and growth insights for AI Product Managers.

AI developer advocate and educator known for tutorials around Gemini and open-source AI tooling. He is referenced here for a guide to the Gemini Interactions API.

Philipp Schmid is a key educator for practical adoption of Gemini APIs, agent workflows, and open-source AI tooling.

A founder or leader associated with LangSmith and AI agent development. He emphasizes platform use, collaboration, and process-oriented measurement of agents.

Harrison Chase consistently argues that AI agents should be managed as measurable systems with observability, feedback, and iterative improvement loops.

A technology founder and commentator cited here discussing the value of a frontier model plus harness versus accumulated data and context. He also expresses skepticism about apocalyptic AI narratives.

Dharmesh Shah argues that durable AI value comes more from accumulated data and context than from pairing a product with a frontier model.

A product lead associated here with Gemini API and AI Studio announcements. Known for shipping developer-facing AI product features.

Logan Kilpatrick is a recurring public face for Google’s developer AI launches, especially across Gemini API and Google AI Studio.

A practitioner who used Claude and Cursor to generate a design system from GitHub repos. Relevant to PMs for rapid product and design-system iteration.

Claire Vo is notable for hands-on AI workflows that connect product, design, marketing, and enterprise adoption.

An AI researcher and founder known for practical prompting advice. Here he recommends ending prompts with HTML or slideshow formatting to get richer rendered outputs.

Karpathy is a key signal source for AI PMs because he connects frontier model behavior to practical product workflows.

A product discovery and strategy leader quoted in the newsletter in connection with AITropos. She is presented as a source commenting on AI employees and operational use cases.

Teresa Torres is cited as a product discovery and strategy voice translating AI trends into actionable lessons for PMs.

A startup and product operator known for sharing AI-driven business and acquisition ideas. Relevant to PMs for workflow mining and product arbitrage ideas.

Greg Isenberg is consistently cited for tactical AI startup workflows that compress idea validation, MVP building, and customer acquisition.

AI researcher and educator known for practical machine learning content. In this newsletter he is credited with sharing a from-scratch Gemma 4 notebook on GitHub.

Sebastian Raschka is a prominent AI educator known for practical, implementation-focused explanations of LLMs and agent systems.

A builder mentioned for warning against vendor lock-in and for launching a multi-model API. The newsletter does not provide enough identifying detail beyond the first name.

Santiago is referenced as a builder and operator focused on model infrastructure, agent tooling, and practical AI workflows, though the newsletter does not identify him beyond his first name.

Founder and CEO of Perplexity. He is mentioned here for technical commentary on GPU serving and MoE inference efficiency.

Aravind Srinivas is the founder and CEO of Perplexity and a key voice on both AI product strategy and inference infrastructure.

A developer or product leader associated with Claude Code. He launched a `/usage` command and changed run limits to help users self-serve token and plan debugging.

Boris Cherny is a key public voice behind Claude Code product, UX, pricing, and observability decisions.

A commentator cited on the trend of replacing PM titles with builder-oriented roles in AI companies.

Udi Menkes is cited as a key commentator on the shift from traditional PM titles to builder-oriented roles in AI companies.

Writer/observer cited for reframing agent building as a stack of LLM primitives and persistent memory.

Tal Raviv is best known here for reframing agent building as a stack of LLM primitives rather than a single monolithic system.

Co-founder and CEO of Google DeepMind. He is mentioned here in relation to new funding for Isomorphic Labs and a Gemini-powered UI prototype.

Demis Hassabis is a key signal for where Google DeepMind is turning frontier AI research into usable products and platforms.

Google Research/AI leader known for technical announcements around model deployment and infrastructure. Here, he is cited for announcing Gemini-powered translations in Google Search.

Jeff Dean is a key Google AI leader whose announcements often mark the shift from research breakthroughs to production product capabilities.

Henry Shi is a technical staff member at Anthropic Labs and co-runner of the AI Product Management Certification. He is described as a former co-founder of Super.com.

Henry Shi is described as technical staff at Anthropic Labs and a co-runner of the AI Product Management Certification.

CEO of OpenAI, mentioned in connection with the launch of Daybreak and its cyber defense partnership invite. He is presented here as a spokesperson for OpenAI’s enterprise and security expansion.

Sam Altman is a key public signal for OpenAI’s product, platform, enterprise, and governance direction.

An AI educator and founder known for teaching practical AI application-building skills.

Andrew Ng’s recent mentions focus on practical AI enablement through courses, tools, and frameworks for builders.

Rohan Varma is an AI product operator and instructor mentioned as a co-runner of the AI Product Management Certification. He is described as formerly the first PM at Cursor and now at Codex.

Rohan Varma is repeatedly described as the first-ever PM at Cursor and now at Codex.

CEO of Google and Alphabet. He is cited here as the announcer of Gemini Intelligence at Android Show I/O.

Sundar Pichai is the primary executive signal for Google’s AI roadmap across consumer, developer, and enterprise products.

An AI builder or practitioner mentioned for launching `/goal` support in CodeX and Hermes agents. He is cited as recommending workflow guardrails like interview mode and clear stop conditions.

Jason Zhou is repeatedly cited for shipping practical agent workflows, especially around Codex, Claude Code, and autonomous coding loops.

AI executive mentioned for commenting on the explosive growth of frontier model training compute. He is associated with scaling expectations for advanced AI systems.

Mustafa Suleyman is a key Microsoft AI executive voice on model launches, infrastructure strategy, and frontier AI scaling.

A named builder/leader who used Claude-generated code to fix a Dockerfile PATH issue in OpenClaw. The mention illustrates practical AI-assisted debugging.

Garry Tan is portrayed as a hands-on AI builder using agentic tooling for real product development, debugging, and retrieval system design.

An AI/PM commentator quoted on internal AI workflows and measurement. The newsletter attributes to him the idea of companies overlooking their internal AI factory.

Marc Baselga is cited as a strong advocate for measuring AI by business outcomes rather than token counts or tool usage.

George Nurijanian is cited for defining practical experimentation guardrails. For PMs, his guidance helps ensure AI and product tests produce valid, actionable results.

George Nurijanian is most cited for defining four practical experimentation guardrails that help PMs run valid product and AI tests.

OpenAI product leader/executive who publicly praised GPT-5.2 in the newsletter. Useful context for AI PMs tracking product and model reception.

Kevin Weil appears as a key OpenAI product voice translating frontier model advances into practical product narratives.

Prominent AI researcher cited for highlighting real-world life-saving applications of AI in medicine and safety systems.

Yann LeCun argues that current LLMs are useful but limited in true understanding, planning, and reasoning about novel situations.

An AI/PM writer or contributor credited alongside Eleanor Berger for a post about lead time to value in AI-assisted coding. The post focuses on metrics for agentic systems.

Isaac Plath is repeatedly credited with Eleanor Berger on practical posts about agentic coding, workflow design, and AI engineering operations.

A Google product leader mentioned introducing Product Catalogs in Pomelli. Relevant to PMs for marketing automation and product-led growth tools.

Josh Woodward is repeatedly featured as a key Google product leader behind launches across Gemini, NotebookLM, Stitch, and Pomelli.

Carl Vellotti is associated with Team OS and AI workflow design. Here he is cited for tracking the shift from vibe coding prototypes to a team-oriented AI operating system.

Carl Vellotti is cited as an operator documenting the shift from solo AI experimentation to a team-oriented AI operating system.

An AI/PM writer or contributor credited in a post about lead time to value for AI-assisted coding. Mentioned as part of the authorship of the newsletter item.

Eleanor Berger is repeatedly credited on practical posts about AI-assisted coding, agent workflows, and developer productivity.

Co-founder and CEO of Hugging Face. He is mentioned here in connection with infrastructure positioning and a public datasets milestone.

clem 🤗 frames AI advantage as increasingly driven by models, datasets, and infrastructure rather than basic app development.

CEO of NVIDIA and a prominent figure in AI hardware and robotics. He is mentioned demonstrating a home AI robotics setup at CES.

Jensen Huang is a key signal for AI PMs tracking compute economics, infrastructure shifts, and full-stack AI strategy.

Product management writer known for tactical PM advice. Here he warns that coding agents need security and performance audits.

Paweł Huryn is known for tactical guidance that helps PMs turn AI concepts into practical product workflows.

Product leader and writer quoted twice on the advantages of B2B for consumer-product PMs and the importance of domain expertise.

Shreyas Doshi is cited as a product leadership voice on mastery, product sense, motivation, and execution quality.

Search and retrieval expert mentioned for introducing pseudo-relevance feedback. He explains how early retrieval results can be used to refine queries.

Doug Turnbull is a key voice on practical search and retrieval design for modern AI products.

AI product and developer advocate who shares predictions on generative AI trends. Relevant for AI PMs tracking market direction and product strategy.

Phil Schmid is a useful signal source for AI PMs tracking practical shifts in agents, tooling, and generative AI product strategy.

AI founder and executive mentioned in connection with AI safety and preparedness reporting for frontier models.

Alexandr Wang was mentioned in connection with frontier model launches, product rollouts, and AI safety/preparedness disclosures.

PM commentator from prodmgmt.world who shared career advice focused on second-order thinking and agency. Relevant to AI PMs navigating career strategy.

George is a PM commentator known for practical advice on second-order thinking, agency, and AI-assisted product work.

Product or developer advocate referenced for demos and feature requests around Stripe's AI agent and CLI workflows. Relevant to PMs for API usability and automation feedback loops.

Kevin Yien is repeatedly associated with practical AI workflows at Stripe, especially around analysis, automation, and business operations.

A product thinker cited for arguing that scoping is the key PM skill in the AI era. The newsletter frames his point around shipping functional features very quickly.

Ben Erez is cited for arguing that scoping is becoming the most important PM skill in the AI era.

AI news curator who highlighted MIT’s smartwatch-sized AI wristband. He is the credited spotlight source in the newsletter.

Rowan Cheung appears in the newsletter as a recurring spotlight source for frontier AI and robotics developments.

Product growth leader and writer referenced for introducing a product discovery feature in Reforge Build. He is connected here with AI-assisted mockup generation for product discovery.

Brian Balfour is referenced as a key voice connecting AI to product discovery, concept testing, and PM strategy.

Hugging Face cofounder mentioned for unveiling YC Bench and the `hf` command.

Julien Chaumond is a Hugging Face cofounder repeatedly mentioned for shipping practical AI developer and agent tooling.

An AI product leader or educator cited for showcasing live builds in Google AI Studio and GoogleLabs. She is relevant to AI PMs for prototyping and product experimentation workflows.

Marily Nika is cited as an AI product leader focused on live prototyping, product experimentation, and practical AI PM workflows.

Product transformation commentator discussing why organizational changes often stall without structural support.

Anu Jagga Narang argues product transformation fails when organizations demand boldness without changing the structures that shape behavior.

Product and software entrepreneur referenced for two ideas: voting on nonexistent API endpoints and robot-like agent behavior in human UIs. The newsletter attributes both framework ideas to him.

Dharmesh emphasized solving customer problems and creating value before optimizing AI inference costs.

Co-founder and CEO of Hugging Face, active in the AI ecosystem and product commentary. In this newsletter he’s the source highlighting a CES robotics demo.

Clement Delangue is a key signal source for open-source AI adoption through his role as Hugging Face co-founder and CEO.

Host of the OpenAI Podcast named in connection with the Life Sciences model series announcement.

Andrew Mayne is cited as the host of the OpenAI Podcast, a recurring venue for major OpenAI product and model announcements.

Product leader and investor mentioned as directing PMs to Anthropic's Claude Opus 4.7 follow-up blog. He is referenced as a notable voice in the AI PM ecosystem.

Mike Krieger appears in the AI PM ecosystem as a product leadership signal tied closely to Anthropic and Claude updates.

CEO of Figma, cited for the view that design workflows are becoming production-grade and code-like. His perspective is used to argue that taste and craft both matter in AI-era product building.

Dylan Field is cited for the view that design workflows are becoming production-grade and increasingly code-like.

A speaker or participant in a Zoom session about AI-fluency PM interviews. He is referenced in the same context as Ben Erez and Tal Raviv.

Aman Khan is associated with practical AI PM education through workshops, tooling setups, and live build sessions.

Colin Matthews is mentioned as the source of commentary on Anthropic’s tool calling mode. The context suggests he is a builder/commentator relevant to agent tooling.

Colin Matthews is cited as a commentator on practical LLM and agent system design topics relevant to product teams.

A commenter or analyst who highlights the significance of Bun’s AI-assisted Rust rewrite. The newsletter uses this as an example of AI-enabled engineering ambition.

Thariq is cited as a builder-commentator focused on AI-native planning, automation, and software development workflows.

Instructor credited with teaching the SGLang short course. Relevant as a practitioner translating applied inference techniques into learning material.

Richard Chen is credited as the instructor of Andrew Ng’s short course on efficient inference with SGLang.

A LinkedIn voice who highlighted Accio as an AI companion for e-commerce. Relevant to AI applications in commerce and market research.

Kuo Zhang is cited as a public voice connecting Alibaba’s Accio to AI-powered commerce and sourcing workflows.

Research scientist and podcaster focused on AI, robotics, and technical conversations. Here he announces a long-form technical AI podcast spanning training architectures, robotics, compute, business, and geopolitics.

Lex Fridman is positioned here as a key curator of long-form technical AI conversations spanning research, infrastructure, and strategy.

An AI/product commentator highlighted for observations about coding agents and codebase analysis. Relevant to AI PMs for understanding practical agent workflows.

Pawel Huryn is cited for practical commentary on coding agents, agent trust, and applied AI workflows.

CEO of Zapier who shares his personal AI stack and recruiting workflows. He is highlighted again in a YouTube segment about using AI inside company culture.

Wade Foster is highlighted as an AI-native CEO using practical workflows to operationalize culture, recruiting, and decision-making.

AI researcher and entrepreneur associated here with Marble’s Advance model rollout. Relevant to PMs because her work bridges research and productized generative experiences.

Fei-Fei Li is referenced here at the intersection of AI research, entrepreneurship, and productized generative 3D experiences.

A product leader or creator who wrote a guide to n8n for AI-infused workflows. Relevant to automation and AI workflow design for PMs.

Aakash Gupta was cited for practical guidance on building AI-infused workflows with n8n, including caching, token compression, and error handling.

Creator featured in a walkthrough optimizing OpenClaw with Claude desktop and related automation techniques.

Moritz Kremb is featured for practical walkthroughs that make OpenClaw more reliable in real usage.

Operator or commentator discussing enterprise adoption of AI agents. He highlights Ramp's use of Claude Code and a small PM team shipping many features.

Tyler Folkman is linked to commentary on enterprise AI-agent adoption through the Ramp example.

A developer and AI educator featured for advanced Claude Code workflows. The newsletter credits him with demonstrating context loading, mermaid diagrams, and stop hooks.

John Lindquist is featured for demonstrating advanced Claude Code workflows relevant to AI-assisted engineering.

A product management creator sharing frameworks for AI-era roadmap presentations. He is credited with a strategic thread on improving roadmap communication.

George is known for practical frameworks that help PMs communicate roadmaps more strategically in the AI era.

Former OpenAI CTO and founder of Thinking Machines, quoted on the limitations of current AI interfaces and the importance of interactivity. She appears here as a product vision voice for human-AI collaboration.

Mira Murati is framed here as a product vision voice for more natural human-AI collaboration.

A founder demonstrating the Nebula AI agent platform. The newsletter credits him with the product demo and workflow details.

Furqan Rydhan is credited in the newsletter as the founder demonstrating the Nebula AI agent platform.

A creator who demonstrates the Compound Engineering plugin and Claude Code workflow patterns.

Kieran Klaassen is noted for demonstrating a repeatable Claude Code workflow built around planning, coding, assessment, and codification.

Head of design at Claude, cited in the newsletter for discussing how AI tools are changing the design process. She is associated with Anthropic's design workflow.

Jenny Wen is cited as the head of design for Claude and a visible example of AI-native design operations at Anthropic.

Builder and creator referenced for an OpenClaw-based business walkthrough. The newsletter highlights his use of AI agents, automation, and multi-tool integrations to launch a product quickly.

Nat Eliason is cited as a practical example of using AI agents and automation to launch a revenue-generating product quickly.

Founder and operator referenced in a conversation about AI-native organizations. For PMs, he is associated with product thinking around orchestration, generalists, and AI-native companies.

Dan Shipper is referenced as both a builder of agent workflow products and a thinker on AI-native organizational design.

Armin Ronacher is a developer and writer who often explores AI tooling and infrastructure. In this issue he is credited with a piece on local models, inference engines, and serving ergonomics.

Armin Ronacher was featured for work on both agent-oriented programming languages and local model-serving ergonomics.

OpenAI leader and product/engineering voice associated here with confirming Codex’s unification with the main model. The newsletter cites him via Simon Willison’s note.

Romain Huet is cited as confirming that OpenAI unified Codex with the main model starting with GPT-5.4.

Developer credited as the builder of OpenClaw. He is relevant to AI PMs as an example of an independent creator shipping a fast-growing AI automation product.

Peter Steinberger is best known here as the builder of OpenClaw, a fast-growing open-source personal agent platform.

PM referenced for using a multi-bot Discord setup to support product building. He is highlighted as an example of a multi-player AI development workflow.

Diego Granados is cited as a PM using Discord plus Claude Code bots to support product building.

Venture capitalist and AI commentator discussing macroeconomic drivers for AI adoption and AI-first companies.

Marc Andreessen frames AI as a response to long-term productivity stagnation and demographic decline.

Investor or operator focused on AI labor-market opportunities. He cites Anthropic's labor market research as a guide to underpenetrated white-collar opportunities.

Jake Saper is cited as focusing on AI opportunities emerging from underpenetrated white-collar job categories.

A quoted individual in a commentary about code quality incentives in AI systems. The newsletter uses him as the source of a viewpoint on maintainable code.

Soohoon Choi is cited for the view that market incentives will reward AI systems that generate maintainable code.

AI/SaaS commentator cited for interpreting a16z spend data. He is used here to support the thesis that AI is stratifying SaaS rather than killing it.

Benoit Berthoux is cited for interpreting a16z spend data as evidence that AI is stratifying SaaS rather than killing it.

Co-founder of HashiCorp, cited here for a quote about technical decision makers, job security, and product positioning. The newsletter notes the remark was discussed in the context of Redis homepage design.

Mitchell Hashimoto is cited in the newsletter for both AI-native developer workflow innovation and sharp observations about buyer psychology.

PM and engineering commentator who emphasizes cross-functional training between product and engineering teams. Relevant to operating models for AI product development.

Madhu Guru emphasizes cross-functional training between product, engineering, and workflow experts in AI teams.