GenAI PMGreg Isenberg
An operator and creator cited for a playbook on building vertical AI agent startups. He is mentioned as laying out a workflow-first approach: map the industry process manually before automating it.
Key Highlights
- Greg Isenberg is repeatedly cited for a workflow-first playbook: map a real industry process manually before automating it with AI agents.
- He frames AI product building around compressed execution, showing how founders can move from idea to MVP to first customer extremely quickly.
- His agent-first startup thesis encourages PMs to treat legacy SaaS as backends and build outcome-oriented AI experiences on top.
- He highlights MCP servers as a key infrastructure layer for businesses that want to be discoverable and operable by AI agents.
- His demos span product design, orchestration, acquisitions, and personal automation, making him relevant as a practical operator voice for AI PMs.
Greg Isenberg
Overview
Greg Isenberg is an operator, creator, and startup commentator who appears in these newsletters as a highly practical voice on how AI is changing company formation, product building, distribution, and go-to-market. Across multiple mentions, he is associated with rapid MVP creation, agent-first startup design, AI-native workflow automation, and the idea that founders should treat AI tools as leverage for compressing the time between idea, prototype, and first revenue.For AI Product Managers, Isenberg matters less as a researcher or model builder and more as a playbook-oriented strategist. The most consistent theme in the coverage is his workflow-first approach to vertical AI agents: start by manually mapping a real industry process, interview daily users, document edge cases, and only then automate with agents and tooling. That framing is useful for PMs because it shifts attention away from generic demos and toward operational understanding, system design, and measurable outcomes.
Key Developments
- 2026-03-27: Demonstrated Paperclip as a way to "hire" AI agents like employees, using an orchestrator with local Claude Opus agents to simulate a company with specialized roles such as CEO, engineer, QA, and video editor.
- 2026-04-02: Explained how to use ideabrowser.com plus agent-engineering tools like Claude Code, Codeex, and Google AI Studio to go from idea to MVP to first customer in under an hour, with Stripe handling payment.
- 2026-04-07: Showed how Lindy Assistant can act as an AI executive assistant through iMessage, integrating inbox, calendar, Slack, and Google Drive to automate daily personal operations.
- 2026-04-19: Argued that agent-first startups could form a $1T+ market by treating systems like Salesforce and HubSpot as dumb backends, replacing professional services work with autonomous agents, and moving toward outcome-based pricing.
- 2026-04-20: Walked through Claude Design as a fast product-design tool, generating wireframes, multiple app directions, a pitch deck, and a short ad concept in under an hour.
- 2026-04-21: Showed how to install and configure Hermes Agent, including SQLite memory, 40+ tools, Open Router support, and Android deployment via Termox.
- 2026-05-06: Recommended using OpenClaw and Hermes to find dormant SaaS products, acquire them, and mine their databases and support tickets with GPT and Claude to uncover real customer workflows.
- 2026-05-14: Argued that AI agents are becoming primary buyers on the internet, making MCP servers strategically important for businesses that want to be discoverable and usable by agents.
- 2026-05-26: Laid out a playbook for building a cash-flowing vertical AI agent startup: interview 10 daily users, manually map a boring workflow, document steps and edge cases in Obsidian, then automate using Hermes, Obsidian Vault, Composio, Claude Code/Codex, and Perplexity.
Relevance to AI PMs
1. Use workflow mapping before automation. Isenberg’s most actionable lesson is to avoid starting with model choice or agent architecture. PMs should first map the user’s real process step by step, including exceptions, approvals, handoffs, and failure modes. This is especially useful when evaluating vertical AI agent opportunities.2. Prototype distribution and monetization early. His repeated emphasis on fast MVPs, first customers, and payment rails highlights a PM habit worth adopting: validate not only whether a product works, but whether users will buy, integrate, and operationalize it.
3. Design products for an agent-first ecosystem. His commentary on MCP servers and agents as buyers points PMs toward a new surface area: products may need structured access, machine-readable interfaces, and tool-friendly workflows so autonomous systems can discover and transact with them.
Related
- ideabrowsercom: Featured as a source of validated startup ideas in his rapid build-and-sell workflow.
- Claude Code, Codeex, Codex, Google AI Studio: Core agent-engineering tools he uses or references for fast product creation.
- Stripe: Mentioned as the payment layer for converting early customers quickly.
- Paperclip: Connected to his multi-agent orchestration demos where AI agents are structured like employees.
- Lindy Assistant: Example of an AI-native assistant product he demonstrated for operational delegation.
- Hermes / Hermes Agent: Frequently connected to his automation workflows and agent setup guidance.
- OpenClaw: Paired with Hermes for finding and analyzing acquisition targets in dormant SaaS.
- Obsidian: Central to his workflow-first documentation approach for capturing steps and edge cases before automation.
- Composio: Included in the stack for connecting tools and operational systems during automation.
- MCP / MCP servers: Important in his view of how businesses become accessible to AI agents.
- Anthropic, OpenAI, Claude, GPT: Foundational model ecosystem referenced across his workflows and demos.
- Perplexity, Open Router: Mentioned in connection with agent tooling, research, and model access infrastructure.
- agent-first-startups: A recurring strategic theme in his framing of the next software category.
Newsletter Mentions (29)
“#6 in Greg Isenberg lays out a playbook for a cash‐flowing vertical AI agent startup: manually map a boring industry workflow—interview 10 daily users, document every step and edge case in Obsidian—then automate it using Hermes, Obsidian Vault, Composio, Claude Code/Codex, Perplexi...”
#5 𝕏 Santiago demonstrates replacing token-burning Claude Code and Codex automations with simple scripts via Zapier’s SDK and explains when to use the SDK versus Zapier’s MCP. #6 in Greg Isenberg lays out a playbook for a cash‐flowing vertical AI agent startup: manually map a boring industry workflow—interview 10 daily users, document every step and edge case in Obsidian—then automate it using Hermes, Obsidian Vault, Composio, Claude Code/Codex, Perplexi... #7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight.
“#15 in Greg Isenberg argues that AI agents have become the primary buyers on the internet, making MCP servers essential for any business wanting visibility.”
#15 in Greg Isenberg argues that AI agents have become the primary buyers on the internet, making MCP servers essential for any business wanting visibility. #16 𝕏 Sebastian Raschka highlights a low-commitment attention modification that you can run for most of training and then switch back to vanilla attention near the end, recovering performance on par with full attention.
“in Greg Isenberg recommends using tools like OpenClaw and Hermes to scan Product Hunt and app stores for dormant 2019–24 SaaS products, buy them, then export their databases and support tickets into GPT/Claude to map real customer workflows.”
#23 in Greg Isenberg recommends using tools like OpenClaw and Hermes to scan Product Hunt and app stores for dormant 2019–24 SaaS products, buy them, then export their databases and support tickets into GPT/Claude to map real customer workflows.
“Hermes Agent: The New OpenClaw? Greg Isenberg Shows how to install and configure Hermes Agent with built-in SQLite memory and 40+ tools via a one-line command, connect to Open Router for transparent token pricing, and deploy it on Android devices using Termox and Termox API.”
#12 ▶️ Hermes Agent: The New OpenClaw? Greg Isenberg Shows how to install and configure Hermes Agent with built-in SQLite memory and 40+ tools via a one-line command, connect to Open Router for transparent token pricing, and deploy it on Android devices using Termox and Termox API. Install Hermes Agent on Mac, Linux or Windows Subsystem for Linux via a one-line shell command, with optional ‘xcode-select --install’ on Mac OS.
“#6 ▶️ Claude Design: Full Walkthrough. I'm blown away. Greg Isenberg Greg Isenberg uses Anthropic's Claude Design research preview to generate wireframes, three distinct app design directions, a Sequoia-style pitch deck with financial metrics, and a 30-second ad for the “Senior Brains” mobile app concept in under an hour.”
#6 ▶️ Claude Design: Full Walkthrough. I'm blown away. Greg Isenberg Greg Isenberg uses Anthropic's Claude Design research preview to generate wireframes, three distinct app design directions, a Sequoia-style pitch deck with financial metrics, and a 30-second ad for the “Senior Brains” mobile app concept in under an hour. Configured wireframes for “Senior Brains” by answering 11 prompts—selecting iPhone as primary device, designing five screens (daily home, onboarding, rewards, progress, snacks), lowest fidelity, and gamification features like daily streaks and XP points.
“in Greg Isenberg predicts a $1T+ market for agent-first startups that treat Salesforce, HubSpot and other SaaS as dumb backends, replace professional services with autonomous agents, and shift to outcome-based pricing.”
#8 in Greg Isenberg predicts a $1T+ market for agent-first startups that treat Salesforce, HubSpot and other SaaS as dumb backends, replace professional services with autonomous agents, and shift to outcome-based pricing. #14 𝕏 claire vo 🖤 says Claude Design shines as a production tool when you already have a polished design system from talented designers—but without one, it offers little value. Also covered by: @Peter Yang , @Greg Isenberg
“#18 ▶️ How I use iMessage and AI to run my life Greg Isenberg Demonstrates the two-minute setup and daily use of Lindy Assistant, an AI executive assistant in iMessage that proactively triages emails, manages calendar events, and conducts research by ingesting your inbox, calendar, Slack, and Google Drive for $49/month.”
#18 ▶️ How I use iMessage and AI to run my life Greg Isenberg Demonstrates the two-minute setup and daily use of Lindy Assistant, an AI executive assistant in iMessage that proactively triages emails, manages calendar events, and conducts research by ingesting your inbox, calendar, Slack, and Google Drive for $49/month.
“#9 ▶️ 23 AI Trends keeping me up at night Greg Isenberg Explains how to use ideabrowser.com and AI agent engineering platforms like Claude Code, Codeex, and Google AI Studio to build, launch, and acquire a first customer for a startup in under one hour.”
#9 ▶️ 23 AI Trends keeping me up at night Greg Isenberg Explains how to use ideabrowser.com and AI agent engineering platforms like Claude Code, Codeex, and Google AI Studio to build, launch, and acquire a first customer for a startup in under one hour. Grabs a validated idea from ideabrowser.com by 9:00 a.m., completes a basic build by 9:15 a.m., finishes an MVP by 9:45 a.m., and lands the first customer by 10:00 a.m. Leverages agent-engineering tools Claude Code, Codeex, and Google AI Studio to auto-generate comprehensive code in minutes. Secures payment with Stripe and uses an existing email list or audience to convert the first customer within one hour of ideation.
“Greg Isenberg Explains how to use ideabrowser.com and AI agent engineering platforms like Claude Code, Codeex, and Google AI Studio to build, launch, and acquire a first customer for a startup in under one hour.”
#9 ▶️ 23 AI Trends keeping me up at night Greg Isenberg Explains how to use ideabrowser.com and AI agent engineering platforms like Claude Code, Codeex, and Google AI Studio to build, launch, and acquire a first customer for a startup in under one hour. Grabs a validated idea from ideabrowser.com by 9:00 a.m., completes a basic build by 9:15 a.m., finishes an MVP by 9:45 a.m., and lands the first customer by 10:00 a.m. Leverages agent-engineering tools Claude Code, Codeex, and Google AI Studio to auto-generate comprehensive code in minutes. Secures payment with Stripe and uses an existing email list or audience to convert the first customer within one hour of ideation.
“Paperclip: Hire AI Agents Like Employees (Live Demo) Greg Isenberg”
#12 ▶️ Paperclip: Hire AI Agents Like Employees (Live Demo) Greg Isenberg The demo shows how to use the open-source Paperclip orchestrator with local Claude Opus agents (via Claude Code or Codeex) to spin up a "Moola" finance app company—hiring a CEO, founding engineer, QA agent, and video editor with skills like Remotion—and automate tasks and daily GitHub update routines while logging all actions and token spend in a dashboard.
Related
Anthropic's coding assistant used for programming and automation tasks. The newsletter references it for building a custom approval device and for writing and research workflows inside AI agents.
AI company behind Claude. The newsletter references Claude usage and later notes Anthropic may have reached product-market fit.
AI company behind Codex and other products. The newsletter references its Codex-based tax agents and the OpenAI Foundation's initial commitment.
Anthropic's model family used for agent orchestration and developer workflows. In this newsletter it is highlighted as powering CodeRabbit's agent orchestration system.
An AI coding editor and automation platform. The newsletter highlights multi-repository support for automations across codebases.
A creator mentioned again as raising seed funding and choosing AI agents for onboarding and role learning. He is also the source credit on the Ryan Carson item.
OpenAI's coding agent/tool used here for self-improving tax workflows and long-running autonomous loops. It is presented as capable of iterative task execution with plugins and goal-based runs.
An AI agent workflow system used to automate founder and operator tasks with cron jobs, skills, and integrations. The newsletter cites it as part of a solo-founder operating stack alongside Codex and Devin.
A general-purpose AI chat product used here as an example of a platform that adds tools, memory, skills, and context on top of a model. The newsletter argues the harness matters more than the base model.
A protocol used to connect AI agents to tools and data sources. The newsletter contrasts MCP with APIs as foundational plumbing for agent actions and prompt-evaluation workflows.
Google’s app-building and experimentation environment for Gemini. For AI PMs, it is a product surface for rapid prototyping, app creation, and workspace-integrated AI experiences.
Autonomous or semi-autonomous software systems that can take actions, manage workflows, and assist with operational work. The newsletter references them in multiple founder and startup productivity contexts.
Anthropic's collaborative AI tool used for multimodal workflows, code execution, and connector-based access to external data sources. It appears in the newsletter as a practical example of an AI assistant handling planning, analysis, and automation tasks.
Anthropic’s latest Opus-class model release with a 1 million-token context window. It is positioned for long-context planning, coding, and agentic task execution.
Perplexity’s computer-oriented AI product mentioned in the context of enterprise adoption and security engineering. It represents a browser/computer-style AI workflow requiring secure automation.
Payments infrastructure company referenced for its CLI and Console AI agent. Relevant to PMs for API-first workflows and admin-console automation.
Alibaba is a major technology company active in AI model development through Qwen. The newsletter mentions its ranking improvements on Arena via Qwen preview models.
A collaboration platform used as the interface for alerts and autonomous coding workflows. The newsletter mentions it both as an alert surface and as CrewAI Iris’s working environment.
A Claude-related design product mentioned as a catalyst for questions about SaaS defensibility. Relevant to PMs studying AI-native design workflows and incumbent risk.
An AI product company whose painter tool was updated to use GPT Image 2. The newsletter highlights its image-editing workflow for UI screenshots and design iteration.
A productivity company referenced through the Notion AI agent Hot Potato. It appears here as the host context for an internal standup-prep automation.
A React-based video creation tool used here to generate captions, zooms, and effects for short-form clips. Relevant for PMs building programmable media or templated content creation tools.
OpenAI’s coding-focused model/release highlighted for benchmark performance, steerability, and speed improvements. The newsletter frames it as a strong coding agent option with multiple benchmark scores.
An agent product referenced alongside GBrain and xAI’s integrations. It is relevant to PMs as an example of agent systems gaining richer memory, search, and subscription features.
A Claude model used in the newsletter's example to run Python code and analyze a floor plan. It is discussed as part of an agentic workflow inside Claude Cowork.
A vibe-coding tool mentioned alongside Cloud Code in Notion’s prototyping workflow. It supports direct code-based iteration for AI feature exploration.
An AI agent/workflow environment referenced as the place where Grok capabilities can be used and where runtime threat monitoring is added in another example.
OpenAI's image generation model, used here as the power source for ChatGPT Images 2.0. It is relevant to AI PMs as a core capability underlying productized image workflows.
Anthropic’s Claude model used locally in Paperclip’s agent orchestration demo. It is used for task execution, company simulation, and coding workflows.
A niche-discovery tool used for identifying submarkets and startup opportunities. In this newsletter it is used to uncover niche communities for AI-powered SaaS validation.
A founder demonstrating the Nebula AI agent platform. The newsletter credits him with the product demo and workflow details.
Creator featured in a walkthrough optimizing OpenClaw with Claude desktop and related automation techniques.
A Slack-inspired AI agent platform for autonomous workflows. It lets each channel host an agent that writes code, calls APIs, and automates tasks across multiple services.
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