People & Experts

Founder and CEO of Vercel, cited here announcing Run SDK and Vercel Connect. He is influential in developer tooling and AI app infrastructure.

Guillermo Rauch is a key operator and signal source for AI-native developer tooling, infrastructure economics, and secure deployment practices.

A creator/curator in the AI PM space who shared the ai-evals-course repository. He is mentioned as a source for practical AI eval resources.

Peter Yang is a key curator of practical AI-agent workflows and eval resources for builders and product teams.

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.

Simon Willison is a high-signal independent AI commentator who connects technical LLM developments to concrete product implications.

An AI practitioner who shared information about an MCP public roadmap. He is mentioned as the source of protocol-related developments.

Philipp Schmid is a recurring source of practical updates on Gemini, agent infrastructure, and MCP protocol developments.

Founder and builder in the AI agents ecosystem, associated here with explaining deepagents’ architecture and its use of LangGraph. Relevant to PMs for understanding agent-loop/backend separation and deployment patterns.

Harrison Chase consistently frames agent systems as production architectures, not just prompts, with clear separation between reasoning loops and execution backends.

Product and business commentator who reacted to Ethan Mollick’s post about AI changing work roles. Included here because he is discussing organizational and role boundaries in the AI era.

Lenny Rachitsky is an influential interpreter of how AI is changing product, engineering, and organizational roles.

Google AI product leader frequently cited for developer-tool updates. Here he is associated with Google AI Studio and GitHub integration announcements.

Logan Kilpatrick is a key public-facing signal for Google’s AI developer-platform roadmap, especially across Gemini API and Google AI Studio.

Co-founder and CEO of Perplexity, quoted here on the company’s Agent API and its positioning as a developer platform. He is a prominent voice on AI product strategy and platform design.

Aravind Srinivas has positioned Perplexity’s Agent API as a full AI developer platform, not just a model endpoint.

AI researcher and educator known for clear explanations of model sampling and watermarking. Here he explains watermarking in terms of top-p/top-k selection.

Sebastian Raschka is a respected AI educator who translates complex LLM concepts into practical guidance for builders and product teams.

An operator or product thinker who raised concerns about data indexing, connector visibility, prompt injection, and evaluation quality. Her comment focuses on trust, deletion, and user-empathetic system design.

Claire Vo is a prominent signal for practical, user-centered thinking about AI agents, especially around trust, deletion, and connector transparency.

Product discovery and research leader mentioned highlighting a medical AI workflow. The newsletter connects her to Hertility Health’s GynAI and earlier diagnosis.

Teresa Torres is featured as a product discovery and research voice who spotlights practical, workflow-integrated AI systems.

An entrepreneur and creator featured in a segment about making money with a Grok bot workflow. He is associated here with commentary on AI-driven newsletter operations.

Greg Isenberg is repeatedly cited for practical AI-agent workflows spanning startups, SEO, marketing, and newsletter operations.

A technology investor and Y Combinator leader cited for commentary on AI-native software architecture. He argues companies must build AI harnesses or be subsumed by agents.

Garry Tan argues the long-term software moat is the AI harness around models, not model access itself.

Co-founder associated here with advocating an 'open brain' approach to machine- and human-readable organizational information. Important for PMs thinking about internal systems, APIs, and organizational memory.

Dharmesh Shah is closely associated with an "open brain" vision for making organizational knowledge machine- and human-readable.

A newsletter contributor or source mentioned multiple times for sharing AI product commentary. He is cited on WAN 3.0 and an OpenRouter-like agents system.

Santiago is a repeated signal source for AI PMs on agents, automation, coding workflows, and generative media.

CEO of OpenAI and a key public figure in frontier AI product and policy announcements.

Sam Altman is a key public signal for OpenAI’s product roadmap, launch timing, and go-to-market priorities.

Person who shared an agent skill in the treg repository. Relevant to PMs because it showcases community distribution of reusable agent behaviors.

Jason Zhou is a notable builder in agent infrastructure, known for work spanning reusable skills, loop automation, and secure tool access.

An AI practitioner mentioned for discussing cybersecurity refusals and an unspecified system called Fable. He is cited as the source of a safety-related update.

Boris Cherny is a recurring source on Claude Code workflows, AI coding quality, and safety-operational tradeoffs.

A prominent AI researcher and educator, quoted here on compilation and IR design in relation to PyTorch and microgpt-like specifications. He is often cited for deep technical product and model architecture insights.

Karpathy is a high-signal voice connecting deep model architecture ideas to practical product and developer experience decisions.

An AI leader and educator mentioned for commenting on the Marin project and openness in model training. He is associated here with advocacy for open code, data, and experimental results.

Andrew Ng is repeatedly cited as a practical voice on AI engineering, open ecosystems, and production AI skills.

AI leader and public spokesperson mentioned here announcing Microsoft’s image editing model results. He is notable to PMs as a product and strategy voice in consumer AI.

Mustafa Suleyman appears as a leading public voice for Microsoft’s AI product launches across image, voice, reasoning, code, and security.

AI/PM commentator who shared the Intuit financial-advice system talk. Mentioned here as the curator of the insight rather than as the technical source.

Udi Menkes is best understood here as an AI/PM commentator and curator who translates emerging AI ideas into product-relevant frameworks.

CEO of Google DeepMind and a leading AI policy voice. Mentioned for proposing a FINRA-like body for AI oversight.

Demis Hassabis is a central figure across Google DeepMind research, Gemini product launches, AGI strategy, and AI-for-science initiatives.

Hugging Face’s CEO and a prominent advocate for open models. In the newsletter he defends open models for cybersecurity and comments on an OpenAI security incident.

clem 🤗 is a leading public advocate for open AI models, especially around innovation, security, and ecosystem growth.

CEO of Google mentioned in connection with Pixel 11 and Gemini-powered features. Relevant to PMs as the executive voice framing Google’s product and AI strategy.

Sundar Pichai is the executive voice most consistently tying Google’s AI research, products, devices, and enterprise platforms into one strategy.

A prominent Google AI leader known for deep ML infrastructure and research leadership. Here he is credited with announcing Discovery Loop.

Jeff Dean is a key Google AI leader spanning research, infrastructure, and product launches across Gemini, Gemma, and TPUs.

An AI commentator or builder referenced here for comparing OpenAI’s Computer History with Familiar. He highlights Familiar’s offline, local, and model-agnostic qualities.

Tal Raviv is a notable AI builder and commentator focused on agent design, context engineering, and PM workflow automation.

A prominent AI researcher quoted on the limits of LLMs and the need for systems that can learn physical tasks. He contrasts language generation with embodied intelligence and control.

Yann LeCun argues that scaling LLMs alone will not produce human-level or embodied intelligence.

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 described as an ex-cofounder and first-ever PM at Cursor, later associated with Codex.

AI leader and Hugging Face co-founder associated here with security scanning work. He partnered with TruffleSec on a large secret scan across training data.

Julien Chaumond is a Hugging Face co-founder and CTO focused on AI infrastructure, developer tooling, and open-source model deployment.

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 former co-founder of Super.com.

A Google AI leader frequently cited in product rollout announcements. Here he is associated with Gemini-related availability updates.

Josh Woodward is a visible Google AI product leader tied to Gemini, NotebookLM, and public feature rollouts.

Product leader and commentator mentioned for wanting books to be available as in-product context inside Claude or ChatGPT. Relevant to AI PMs thinking about retrieval and contextual UX.

Shreyas Doshi is relevant to AI PMs for his practical thinking on product mastery, judgment, and the role of AI as a reasoning amplifier.

A source cited for studying PM interviews across eight companies. He is mentioned in relation to an Anthropic culture interview and a Supra Insider episode.

Marc Baselga is cited as a curator of practical AI product insights spanning adoption, tooling, governance, and pricing.

A creator focused on evaluation strategy for enterprise AI products. The newsletter credits Guru with posts on laddered evals and avoiding single-score reduction.

Madhu Guru is most associated with enterprise AI evaluation strategy, especially laddered evals and avoiding single-score reduction.

Founder of Scale AI, mentioned as being associated with coverage of Meta’s Muse Spark 1.2 demos. He is a prominent AI builder and investor often cited in frontier-model discussions.

Alexandr Wang is repeatedly cited alongside Meta AI and the Muse Spark family in frontier-model launches, benchmarks, and demos.

An AI/product leader quoted on evaluating AI fluency with take-home projects rather than live coding. The suggestion emphasizes process transparency and deeper understanding of how candidates work.

Kevin Yien is an AI/product leader known for practical views on hiring, interfaces, and agent-powered business tooling.

AI practitioner sharing workflow patterns for building custom skills with Claude. The note focuses on turning an initial session into a reusable specification.

Carl Vellotti is known for adapting PM workflows and artifacts so AI systems can reliably consume and act on them.

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 emerges as a key public signal for how OpenAI frames frontier model value for science, coding, and developer ecosystems.

Co-founder and CEO of Databricks, mentioned here in connection with AI Extract and SQL-callable PDF extraction. He is highlighted as discussing accuracy and cost improvements for document extraction workflows.

Ali Ghodsi is a key enterprise AI operator voice, linking product strategy to measurable gains in cost, speed, governance, and accuracy.

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 notably cited for defining four practical experimentation guardrails for valid product tests.

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 alongside Eleanor Berger on practical posts about AI coding workflows and agentic systems.

Jensen Huang is the CEO of NVIDIA and a prominent advocate for AI infrastructure and open ecosystems. In this newsletter he is referenced via an NVIDIA letter about open models and defense harnesses.

Jensen Huang is a recurring newsletter signal for AI infrastructure, efficiency, and open ecosystem strategy.

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 content about AI-assisted coding, agent workflows, and measurement.

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 PM guidance spanning agents, context engineering, prototyping, and career development.

An AI leader and writer mentioned for proposing a 'constitution.md' onboarding pattern. Relevant to AI PMs exploring guardrails and agent governance.

Marily Nika is repeatedly cited for practical AI PM frameworks centered on guardrails, evaluation, and system reliability.

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 recurring expert voice on search, retrieval, and relevance tuning for modern AI products.

A person mentioned alongside Marc Baselga in a study of PM interviews across eight companies. He is part of the context around Anthropic’s hiring interview process.

Ben Erez is most associated with the idea that scoping is the critical PM skill in an AI-enabled product environment.

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 near-term agent tooling and broader generative AI product trends.

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 from prodmgmt.world known for practical advice on AI workflows, experimentation, and career agency.

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 the co-founder and CEO of Hugging Face and a key signal source for open-source AI adoption trends.

Author of a piece on how coding agents read code and how to write for them. He focuses on repository structure, search behavior, and agent-friendly naming.

Mario Zechner writes practical, empirical analyses of how coding agents behave in real software environments.

AI leader and founder/operator associated with open-weights strategy and model safety discussions. Here she discusses a release playbook focused on rigorous testing, staged access, and ecosystem-level safety.

Mira Murati is linked to Thinking Machines, open-weights model launches, and public thinking on AI safety and release strategy.

A commenter who described Claude’s automode as safer than other permission systems and noted its default rollout. The mention is relevant to autonomy and permissions in agent UX.

Thariq is a recurring AI product commentator focused on autonomy, permissions, and practical agent workflows.

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 here as a high-signal commentator and interviewer who helps translate AI developments for a broad audience.

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 as a strategic analyst focused on where value and defensibility emerge in the AI ecosystem.

A speaker who recapped her remarks at ITX about how AI strategy depends on customer problem, technology, cost constraints, and success definition. Her point is framed around context-specific product strategy.

Anu Jagga Narang argues that AI strategy must be shaped by customer problem, technology, cost constraints, and success definition.

AI researcher and professor known for work in computer vision and robotics. Here she is credited with unveiling a real-to-sim-to-real robotics engine powered by generative world models.

Fei-Fei Li is increasingly associated with the convergence of generative 3D worlds, simulation infrastructure, and robotics productization.

AI product leader and builder mentioned for using Opus 5 to prototype a childhood game idea. He is cited as an example of model capability for rapid creation.

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

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 practitioner of AI-native workflows spanning writing, email, research, and rapid prototyping.

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 as a key voice on how AI makes first drafts of designs cheap and abundant.

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 is cited for practical AI product frameworks spanning customer value, positioning, API design, and agent interfaces.

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 product growth and strategy voice helping PMs understand AI-driven product discovery.

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.

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 SGLang short course on efficient text and image generation.

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.

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 a practical AI/product commentator focused on coding agents, trust, and workflow orchestration.

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.

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 featured as a host of long-form technical AI conversations spanning LLMs, compute, robotics, and AGI.

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.

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 Alibaba’s Accio, an AI companion for e-commerce workflows.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.