GenAI PMGreg Isenberg
A startup and internet business builder cited for the claim that AI agents are now the primary buyers online. He frames MCP servers as a visibility requirement for businesses.
Key Highlights
- Greg Isenberg is repeatedly cited for framing AI agents as a new operating model for startups and internet businesses.
- He argues that AI agents are becoming primary online buyers, making MCP servers important for business visibility.
- His demos emphasize compressing idea-to-MVP cycles with tools like Claude Code, Codeex, and Google AI Studio.
- He promotes agent-first startups where autonomous agents sit on top of traditional SaaS systems and deliver outcomes.
- His examples span practical operator tooling, including Firecrawl for web data, Lindy for executive assistance, and Hermes for deployable agents.
Greg Isenberg
Overview
Greg Isenberg is a startup operator, creator, and internet business commentator who appears in this knowledge base primarily as a practical explainer of how AI agents are changing product building, distribution, and go-to-market. Across the newsletter mentions, he consistently frames AI not just as a productivity layer, but as a new operating model for startups: founders can ideate, build, launch, market, and even run companies with agentic tooling in dramatically compressed timelines.For AI Product Managers, Greg Isenberg matters because his examples sit at the intersection of product discovery, workflow automation, agent orchestration, and distribution strategy. His most cited claim here is that AI agents are becoming primary buyers online, which implies that businesses may need machine-readable interfaces such as MCP servers to remain discoverable. He also surfaces concrete patterns around agent-first startups, AI-assisted prototyping, acquisition of dormant software assets, and the use of tools like Claude Code, Hermes, Firecrawl, and Lindy to turn AI capabilities into products and operating leverage.
Key Developments
- 2026-03-25 — Greg Isenberg explains how Firecrawl can give AI agents clean markdown, structured JSON, screenshots, and browser automation in a single API workflow, and ties that capability to monetizable agent products.
- 2026-03-27 — In a Paperclip demo, he shows how teams can "hire" AI agents like employees, orchestrating specialized roles such as CEO, engineer, QA, and video editor using tools like Claude Opus, Claude Code, Codeex, and Remotion.
- 2026-04-02 — He outlines a compressed startup playbook using ideabrowser.com, Claude Code, Codeex, and Google AI Studio to go from idea selection to MVP and first customer in under one hour, with Stripe handling payments.
- 2026-04-07 — He demonstrates Lindy Assistant as an AI executive assistant embedded in iMessage, showing practical inbox, calendar, Slack, and research automation for everyday operator workflows.
- 2026-04-19 — He predicts a $1T+ market for agent-first startups, arguing that traditional SaaS systems like Salesforce and HubSpot will become dumb backends while autonomous agents own execution and outcome-based pricing.
- 2026-04-20 — He showcases Anthropic's Claude Design research preview to generate wireframes, multiple design directions, a pitch deck, and ad creative for a mobile app concept in under an hour.
- 2026-04-21 — He presents Hermes Agent as a flexible agent environment with SQLite memory, 40+ tools, Open Router integration, and deployment paths across desktop and Android via Termox.
- 2026-05-06 — He recommends using tools like OpenClaw and Hermes to identify neglected SaaS products from 2019–2024, acquire them, and analyze their databases and support tickets with GPT and Claude to extract real customer workflows.
- 2026-05-14 — He argues that AI agents are becoming the primary buyers on the internet, making MCP servers increasingly important for businesses that want to be visible and actionable to machine-driven discovery and purchasing flows.
Relevance to AI PMs
1. Agent-first product strategy Greg Isenberg's examples help AI PMs think beyond feature-level AI add-ons and toward products where agents perform real work end to end. This is useful when deciding whether your roadmap should optimize for copilots, autonomous workflows, or outcome-based services.2. Faster validation and prototyping
His workflows with ideation tools, coding agents, and design systems offer a tactical playbook for compressing time-to-MVP. AI PMs can apply this to customer discovery, rapid prototyping, and internal concept validation before allocating full engineering resources.
3. Machine-readable distribution and discoverability
His MCP-related framing is particularly relevant for PMs responsible for platform access, integrations, and growth. If AI agents are becoming a meaningful interface for search, purchasing, or task execution, PMs should evaluate APIs, structured outputs, MCP support, and other mechanisms that make products legible to agents.
Related
- MCP / MCP servers — Central to Greg Isenberg's visibility thesis: businesses may need machine-readable endpoints so AI agents can discover and transact with them.
- Claude Code, Codeex, Google AI Studio — Tools he highlights for compressing startup build cycles from idea to MVP.
- Firecrawl — Featured as infrastructure for giving AI agents reliable web data, screenshots, and browser actions.
- Paperclip — Used in his demo of multi-agent company orchestration, where AI agents are assigned specialized functional roles.
- Hermes Agent / OpenClaw / Open Router / Termox — Part of his stack for autonomous agents, mobile deployment, and cost-transparent inference workflows.
- Lindy Assistant — Example of practical AI operations tooling for email, calendar, and knowledge-work delegation.
- Anthropic, OpenAI, Claude, GPT — Foundation model ecosystem underlying many of the workflows he demonstrates.
- agent-first startups — A recurring strategic theme in his commentary, emphasizing agents as the primary execution layer over legacy SaaS systems.
Newsletter Mentions (28)
“#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.
“Greg Isenberg explains how Firecrawl's API supplies AI agents with clean markdown, structured JSON, and screenshots of any website in a single API call, handling proxies and anti-bot measures automatically.”
#19 ▶️ Firecrawl AI clearly explained (and how to make $$) Greg Isenberg Greg Isenberg explains how Firecrawl's API supplies AI agents with clean markdown, structured JSON, and screenshots of any website in a single API call, handling proxies and anti-bot measures automatically. Firecrawl's API offers six capabilities—single-page scrape, full-site crawl, URL mapping, Google-style search, AI-driven data description, and a browser sandbox for form-filling, login, and pagination—all invoked with a three-line code snippet. The Firecrawl agent endpoint provides five free runs per day, with each scrape or crawl action consuming one Firecrawl credit. Monetization use cases include a sneaker resale price-alert service monitoring StockX, Goat and eBay for $500/month; an Amazon FBA seller review tracker at $99/month; and crypto token due-diligence reports sold to VCs for up to $5,000/month.
Related
A coding environment for Claude mentioned for its keyboard shortcut that opens a full-featured editor for prompt writing. It is highlighted as making long prompts far easier to manage.
The company behind Claude, mentioned as working with Peter Yang and Alex Albert on Claude's next iteration. It is referenced in the context of model design, harness design, and feedback evaluation.
A company mentioned as one of the embedding/re-ranking providers being replaced by ZeroEntropy at GBrain. It also appears in the earlier AI visibility context as a source behind ChatGPT.
Anthropic's AI assistant/model used here in multiple contexts: as the product being built next, as a system used to cluster feedback into synthetic evals, and as a tool that non-technical staff use.
An AI coding tool mentioned as part of the hidden setup tax for non-technical staff without proper enterprise scaffolding. It is referenced alongside Claude and ChatGPT in the context of adoption friction.
An AI product commentator/curator mentioned as breaking down Anthropic's work on the next Claude and as recapping Alex's talk on prepping AI products for newer models. He appears as a source of product insights for PM builders.
An agent referenced as benefiting from GBrain’s memory layers. It serves as an example of agent systems becoming more personalized and context-aware.
A conversational AI product used here as an example of how people ask AI about product categories and brands. It is also mentioned as one of the LLM-powered systems that can surface recommended brands.
A protocol referenced as needing redesign for agent-first usage. In this newsletter it is grouped with APIs and CLIs as software interfaces that must become more discoverable and forgiving for AI agents.
Google’s environment for building and experimenting with Gemini-powered apps and prototypes. It appears here as the venue for interactive UI experiments and an intelligent mouse pointer prototype.
Autonomous or semi-autonomous software systems that can act across tools and workflows. The newsletter frames agents as buyers, tool consumers, and the primary audience for protocols like MCP.
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.
Payments infrastructure company referenced for its CLI and Console AI agent. Relevant to PMs for API-first workflows and admin-console automation.
Perplexity Computer is an alpha product from Perplexity that combines live market data and Slack workflows. It reflects a move toward integrated, action-oriented AI assistants.
A Claude offering for legal organizations and enterprise AI teams, mentioned as part of deploying Claude in legal workflows.
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.
Slack is the workplace messaging platform referenced as an integration target. Here it appears as the channel for pushing Perplexity-generated market updates.
Global ecommerce and cloud company referenced here for its AI agent platform used in product research and supplier matching.
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.
A productivity company referenced through the Notion AI agent Hot Potato. It appears here as the host context for an internal standup-prep automation.
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 vibe-coding tool mentioned alongside Cloud Code in Notion’s prototyping workflow. It supports direct code-based iteration for AI feature exploration.
An AI coding product or company mentioned as using Claude Opus 4.7 in its smart mode. It is presented in the context of product performance and prompt sensitivity.
A Claude model version referenced for more intelligent outputs with higher token usage. It is discussed alongside Opus 4.6 and effort settings for economical runs.
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.
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 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.
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.
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.
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