People & Experts

A PM/influencer who shares practical AI workflow experiments around planning, design, and execution. He is cited using Fable, Claude Design, and GPT-5.6 together in a product-building workflow.

Peter Yang is a repeat source for practical AI PM workflows that connect planning, design, and implementation.

A developer and AI commentator quoted here in relation to OpenAI’s clarification of ChatGPT Work behavior. He is relevant as an interpreter and critic of product messaging.

Simon Willison is a high-signal interpreter of AI model launches, developer tools, and product messaging for technical audiences.

A developer and founder mentioned as a secondary coverage source for Muse Spark 1.1. He is included among the voices discussing the release.

Guillermo Rauch is a recurring builder-source behind Vercel, Next.js, AI Gateway, and agent infrastructure coverage.

AI developer advocate and AI product communicator associated with Google DeepMind. He is credited here for announcing new Gemini API Managed Agent features.

Philipp Schmid is a prominent Google-associated AI communicator who often translates Gemini launches into practical builder workflows.

Founder and/or public builder associated with LangSmith, LangChain, and LLM knowledge tooling. He is mentioned launching LangSmith and hosting an LLM Wiki Webinar.

Harrison Chase is a key public builder behind LangChain, LangSmith, and the shift toward production-grade agent infrastructure.

Writer and newsletter author known for product and career analysis. He is cited here for a 2026 workforce survey about AI’s impact on sentiment.

Lenny Rachitsky is a key curator of AI product, engineering, and career insights relevant to modern PMs.

Google AI product leader frequently associated with AI Studio and developer-facing launches. Here he is credited with rolling out GitHub import in AI Studio Build.

Logan Kilpatrick is repeatedly associated with Google’s developer-facing AI launches, especially in AI Studio and the Gemini ecosystem.

A product research and discovery expert referenced for insight about how AI image generators changed customer expectations. The point is that AI can increase the value of human expertise rather than replace it outright.

Teresa Torres is cited as a product discovery expert whose examples show AI often amplifies human expertise instead of replacing it.

An AI educator and researcher cited here for model-usage advice on agentic coding. He is relevant to PMs as a source of practical guidance on model selection and cost/performance tradeoffs.

Sebastian Raschka is a key source of practical guidance on model selection, token efficiency, and cost/performance tradeoffs in agentic coding.

A product leader and commentator cited in the newsletter multiple times. She appears in the Gusto shipping story and in discussion of AI-first product development.

Claire Vo is repeatedly cited as a practical voice on AI-first product development, team workflows, and adoption measurement.

A product and startup leader cited here for advising teams to use SQL instead of LLM inference when data can be directly queried. He is presented as giving practical PM guidance.

Dharmesh Shah consistently argues for practical AI system design, including using SQL instead of LLM inference when data is directly queryable.

A startup builder and commentator mentioned using Grok 4.5 inside an agent stack. He is relevant to AI PMs as a practical tester of agentic workflows and product ideas.

Greg Isenberg is most relevant to AI PMs as a practical operator who turns agent tooling into concrete product and workflow experiments.

CEO/founder associated with Perplexity who comments on production AI systems and model economics. He is quoted on multi-model harnesses and local model deployment timelines.

Aravind Srinivas is a key operator voice on production AI systems, especially multi-model orchestration, agent harnesses, and model economics.

Investor and operator mentioned here launching Insforge. He is relevant to AI PMs as a prominent voice around startups and agentic developer tooling.

Garry Tan is a recurring voice on agentic tooling, open infrastructure, and context-rich AI systems.

A creator/commentator predicting the future of AI video experiences. The newsletter cites him on interactive livestream-style video and personalized ads.

Santiago is cited as both a predictor of future AI interfaces and a builder of practical agent infrastructure.

Well-known AI researcher and builder, mentioned here as joining Anthropic to use Claude for research acceleration. Relevant to AI PMs as a signal of AI-powered research workflows and talent movement.

Karpathy’s newsletter mentions consistently signal where AI products are becoming more usable, agentic, and research-accelerated.

CEO of OpenAI and a frequent commentator on model capability, economic impact, and product direction. In this newsletter he is quoted on GPT-5.6 medical reliability and AI’s net job creation so far.

Sam Altman appears as a high-signal source on OpenAI’s roadmap, especially around model launches, product packaging, and enterprise distribution.

Udi Menkes is cited discussing how judgment is formed from real-world decisions and outcomes. The newsletter uses his point to argue that finance AI should ground recommendations in actual entity-action-result patterns.

Udi Menkes is a notable thinker on agent-native product management, AI-first operating models, and realistic AI evaluation.

An AI builder/commentator mentioned twice in the newsletter, including launching a local daemon for agents. He is also listed as a secondary source on GPT-5.6 coverage.

Jason Zhou is a recurring AI builder source focused on practical agent infrastructure, developer workflows, and local-first orchestration.

Developer advocate and product figure associated with Claude Code. Here he is credited with rolling out a cleanup command for agentic coding workflows.

Boris Cherny is a key public voice behind Claude Code product updates, reliability explanations, and developer workflow improvements.

AI leader and educator referenced for commentary on frontier AI access and control. His view here centers on how government and vendor restrictions can revoke access to advanced models.

Andrew Ng’s recent mentions center on practical AI adoption themes like inference efficiency, agent evaluation, and AI-native software workflows.

AI executive and founder credited here with launching MAI-Image-2.5.

Mustafa Suleyman is a central public face of Microsoft-linked MAI model launches across image, voice, reasoning, and healthcare AI.

Co-founder and CEO of Hugging Face, frequently posting about infra and ecosystem updates. He is referenced here praising storage and inference ecosystem launches.

clem 🤗 is a key signal source for open-source AI strategy, infrastructure, and ecosystem direction.

Co-founder and CEO of Google DeepMind, cited unveiling DiffusionGemma. His mention ties Google’s research leadership to model launches.

Demis Hassabis is the key executive link between Google DeepMind research breakthroughs and shipped AI products.

Google AI leader and prominent engineering executive. Here he is cited highlighting a TPU supercomputing paper and hardware progression.

Jeff Dean is a key Google AI leader whose updates often signal major shifts in models, infrastructure, and product deployment.

An OpenAI product leader mentioned as the user of Codex for product work. He is described as using AI to synthesize feedback, prototype interfaces, and automate operational workflows.

Rohan Varma is positioned as an AI product operator with experience at Cursor and Codex.

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

Tal Raviv is best known for reframing agent building as a stack of practical LLM primitives rather than a vague autonomous system.

CEO of Google and Alphabet, mentioned here in connection with Gemini/DiffusionGemma announcements and open-sourcing model weights.

Sundar Pichai is the main executive signaler for Google’s AI roadmap across Gemini, Gemma, Maps, Search, and Cloud.

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.

A builder mentioned for integrating llama.cpp into zeddotdev v1.10. He is associated with local-first model discovery in the editor/developer-tool stack.

Julien Chaumond is a key Hugging Face builder shaping local inference, storage, and model distribution workflows.

An AI researcher known for skepticism about current LLM capabilities and for emphasizing world-model limitations. Here he is quoted warning that generative models struggle with real-world continuous signals and the Moravec paradox.

Yann LeCun consistently argues that current LLMs are useful but insufficient for human-level intelligence.

A Google executive or product leader mentioned as gathering community feedback to improve Gemini. He is credited with thanking users and sharing a ranked feedback list.

Josh Woodward appears as a public-facing Google product leader tied to Gemini, NotebookLM, Stitch, Pomelli, and AI ecosystem initiatives.

Marc Baselga is cited for highlighting Fiona Fung's latent-demand insight. He appears as a commentator surfacing product lessons from Claude Code and Cowork usage.

Marc Baselga is a recurring commentator on practical AI adoption and agentic tooling for product teams.

A product thinker known for advice on decision-making and strategy. Here he warns against overusing analogies as decision guides.

Shreyas Doshi is a prominent product thinker whose advice emphasizes judgment, strategy, and first-principles decision-making.

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 serves as a high-signal public voice for how OpenAI frames model launches, scientific use cases, and developer programs.

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 best known here for defining four practical experimentation guardrails that help PMs run valid product tests.

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 practitioner-focused posts about agentic coding, AI coding tools, and human-agent workflows.

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 AI-assisted coding and agentic systems.

Founder/CEO associated with AI model announcements and Meta’s AI efforts. In this newsletter he is cited unveiling Muse Spark.

Alexandr Wang is repeatedly cited as a source for major AI model, product, and safety announcements relevant to PMs.

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 associated with turning Claude Code from a personal productivity tool into a team-oriented AI operating system.

Product/tech voice mentioned for highlighting a compact reader with Readwise integration. The newsletter gives no additional role or company context.

Kevin Yien is most strongly associated in the newsletter with Stripe and agent-driven business tooling.

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 AI product management guidance that blends strategy with hands-on execution.

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-setter for AI infrastructure strategy across hardware, software, models, and applications.

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 cited as a practical expert on search relevance, retrieval systems, and RAG-related infrastructure decisions.

Madhu Guru is a PM voice commenting on organizational rituals and builder productivity. The newsletter quotes him warning that documentation-heavy performance processes can stifle builder PMs.

Madhu Guru is cited as a product voice focused on enterprise AI execution, builder productivity, and the future identity of PM work.

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 guidance on AI workflows, experimentation, and high-agency career strategy.

Co-founder and CEO of Hugging Face, referenced for comparing model cost-per-task and performance. His comment highlights the economics of choosing models in real-world PM and agent workflows.

Clement Delangue is a key voice on open AI, local model deployment, and Hugging Face ecosystem trends.

An AI commentator and interviewer referenced as speaking with Sundar Pichai. His role here is as a distributor/analyst of AI product news and strategy conversations.

Rowan Cheung appears as an influential AI commentator who translates research breakthroughs and platform moves into accessible product narratives.

AI product leader and commentator on building reliable AI systems. She argues that system design matters more than prompt engineering.

Marily Nika argues that reliable AI products are built through system design, not prompt tuning alone.

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 both agent infrastructure and broader generative AI product trends.

A creator and operator mentioned in a workflow demo using GPT-5.6, Codex Desktop, and plugins. He appears in the context of automating communications and building a SaaS prototype.

Dan Shipper is cited as a leading example of agent-native knowledge work across writing, research, and email.

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 most associated with the view that scoping is the defining PM skill in the AI era.

A technology analyst known for strategic takes on the AI industry and distribution dynamics. The newsletter cites him in a deep-dive discussion with Lenny Rachitsky about AI’s future.

Benedict Evans is cited for strategic analysis of where value, pricing power, and defensibility emerge in the AI market.

Figma’s co-founder and CEO, cited for an insight about AI making first drafts cheap. The newsletter uses him to frame how generative tools compress the cost of early design exploration.

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

Mike Krieger is a product leader and AI builder associated here with early hands-on use of Claude Fable 5. He is quoted as handing off entire projects to the model and using it to build an internal tracker.

Mike Krieger is featured as both a product leader and a hands-on AI builder working closely with Anthropic’s Claude models.

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

She argues product transformation fails when organizations demand bold behavior without changing the structures around teams.

A commentator mentioned for noticing a Slack UI change around HTML attachments. He appears as the source of a practical product observation.

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

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 on how AI improves product discovery and concept testing.

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.

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

Andrew Mayne is mentioned as the host of the OpenAI Podcast for several important OpenAI product announcements.

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 mentioned in connection with Accio, an AI companion for e-commerce and sourcing workflows.

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.

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 generative AI across leadership, recruiting, and internal operations.

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.

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.

A developer and author discussing model behavior and tool-calling reliability. In this newsletter he is cited for analyzing why newer Claude models can produce malformed tool calls.

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

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.