Greg Isenberg
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.
Key Highlights
- Greg Isenberg is repeatedly cited for practical AI-agent workflows spanning startups, SEO, marketing, and newsletter operations.
- His examples emphasize narrow agent design, human approval checkpoints, and strong integration with real business systems.
- He is associated with actionable stacks including Claude Code, Codex, Grok, Cloudflare monetization, and LinkedIn automation tooling.
- For AI PMs, his relevance comes from converting frontier model capabilities into repeatable operating playbooks with measurable ROI.
Greg Isenberg
Overview
Greg Isenberg is an entrepreneur and creator who appears in these newsletters as a highly practical voice on AI agents, workflow automation, and AI-native business building. Across repeated mentions, he is associated less with foundational model research and more with applied systems: agent-first startups, autonomous marketing operations, SEO loops, cloud-based agent tooling, and newsletter monetization workflows.For AI Product Managers, Greg Isenberg matters because his examples consistently translate frontier AI capabilities into concrete operating patterns. His appearances surface repeatable playbooks for shipping useful agent products, structuring human-in-the-loop workflows, connecting models to real business systems, and using AI to create leverage in go-to-market, content, research, and operations.
Key Developments
- 2026-06-26: Featured a daily briefing agent pattern using Ollama or LM Studio, where an agent ingests calendar events, notes, and saved links, cites sources, and asks for approval before delivering actionable summaries.
- 2026-07-02: Shared an 8-step, 30-day playbook for launching an AI agent-first SaaS using Claude, chatbt, and Fable. The workflow emphasized job shadowing, building a narrow draft/approve or triage agent, evaluating on real examples, and selling a pilot before broader productization.
- 2026-07-10: Associated with a practical demo of OpenAI Codex Desktop workflows alongside Dan Shipper, showing how GPT-5.6 and plugins could automate email, Slack, meeting notes, and rapid SaaS prototyping.
- 2026-07-11: Demonstrated Grok 4.5 inside a Hermes agent on Orgo, using connectors such as Agent Mail, Agent Phone, Agent Card, Composio, Idea Browser MCP, and X MCP to provision cloud VMs, build a landing page, and generate market and outbound assets in one session.
- 2026-07-14: Showed a monthly SEO loop built with Claude Code/CodeEx plus Google Search Console and Data for SEO APIs, designed to iteratively improve search rankings at very low per-run cost.
- 2026-08-04: Referenced in coverage of practical OpenAI workflow automation patterns, including browser-based delegation, private searchable sites, and plugin-based media workflows, reinforcing his association with hands-on AI productivity systems.
- 2026-08-06: Highlighted AI marketing agents that automate outbound prospecting and content production. One flow used Apify and API Maestro to collect LinkedIn engagers for outreach, while another transformed calls, Slack conversations, and transcripts into scheduled LinkedIn posts.
- 2026-08-11: Connected to a monetization thesis around Cloudflare’s AI crawl control, pay-per-crawl, Monetization Gateway, and x402 payment rail, showing how AI agents could be charged for access to pages, APIs, files, and MCP tools.
- 2026-08-20: Featured in a discussion of “skillsmaxxing” for agents, where company know-how is stored as Markdown SOPs in GitHub, converted into department-specific plugins, and auto-synced into Claude Code and Codex.
- 2026-08-22: Appeared in a segment on making money with a Grok bot workflow. The example covered Billy Howell’s Arlington newsletter operation, where a team of specialized Grok agents handled research, sales, newsletter formatting, and execution across Notion, Make.com, Gmail, and Beehiiv-style workflows.
Relevance to AI PMs
1. He provides deployable agent patterns, not just inspiration. AI PMs can use these examples to define narrow agent scopes, approval checkpoints, evaluation loops, and operational constraints before expanding autonomy.2. His workflows show how to connect models to business systems. From Google Search Console and Data for SEO APIs to LinkedIn scraping, Notion, Slack, Gmail, and cloud agents, the recurring lesson is that product value often comes from orchestration around the model rather than the model alone.
3. He frames AI as a business process redesign tool. Whether the use case is SEO, outbound sales, newsletter publishing, or startup ideation, the takeaway for PMs is to map repetitive workflows, identify bottlenecks, and package high-leverage steps into agent-assisted products with measurable ROI.
Related
- Claude / Claude Code / Claude Opus: Frequently connected to Greg Isenberg’s examples around coding agents, SOP-driven skills, and agent-first product development.
- OpenAI / Codex / ChatGPT: Related through demos of Codex Desktop, ChatGPT-based workflow automation, and rapid SaaS prototyping.
- Grok / Grok 4.5 / Grok bot: Central to several mentions involving fast, lower-cost autonomous workflows and newsletter operations.
- Hermes / Orgo / Composio / MCP servers: Infrastructure and connector layer used in his agent demonstrations for provisioning, tool use, and cross-system orchestration.
- Google AI Studio, Google Search Console API, Data for SEO API: Important in examples about developer workflows and automated SEO optimization loops.
- Cloudflare / x402 / Monetization Gateway: Connected through monetization patterns for charging AI agents to access content, APIs, and tools.
- Apify / API Maestro / LinkedIn / Ordinal: Part of the outbound marketing and content automation stack referenced in his AI marketing-agent examples.
- Notion / Slack / Beehiiv-style newsletter tooling / Make.com: Common operational systems appearing in the newsletter monetization and team-agent workflow examples.
Newsletter Mentions (44)
“Making $$$ with Grok Bot Greg Isenberg Billy Howell runs The Arlington Bagel, a Thursday local newsletter for 6,000 Arlingtonians, with a Grockbot agent team consisting of a chief of staff, research, sales, Beehive, and other specialized agents.”
#13 ▶️ Making $$$ with Grok Bot Greg Isenberg Billy Howell runs The Arlington Bagel, a Thursday local newsletter for 6,000 Arlingtonians, with a Grockbot agent team consisting of a chief of staff, research, sales, Beehive, and other specialized agents. Billy Howell keeps one business per Grockbot account to avoid context bloat and token consumption; he pays $200 for a separate Grockbot account dedicated to a Shopify experiment. His four-week Grockbot workflow is: build the initial team in week one, execute without adding agents or tinkering in week two, add or remove agents for real gaps in week three, and add automated routines in week four. The Arlington Bagel research agent checks sources twice weekly and creates Notion cards; Make.com formats newsletter blurbs, Beehive sends the issue each Thursday, and the Gmail-connected sales agent found a local bagel-shop sponsorship lead.
“▶️ Biggest Unlock for AI Agents in 2026: Skillsmaxxing Greg Isenberg Remy stores company agent skills as Markdown SOPs in a GitHub repository, converts the repository into department-specific plugins with JSON files, and installs those plugins in Claude Code and Codex with auto-update enabled.”
GenAI PM Daily August 20, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 20 insights for PM Builders, ranked by relevance from Blogs, X, YouTube, and LinkedIn. OpenAI announces Zero Data Retention for frontier models #1 📝 OpenAI News Offering Zero Data Retention for frontier models - OpenAI announces offering zero data retention for frontier models, committing to not retain user data for those models and clarifying how this impacts customers and data handling. The post outlines the company's privacy-focused approach for frontier model interactions. Also covered by: @OpenAI , @OpenAI , @Sam Altman #2 𝕏 Cursor announced that it can now monitor pull requests, watch a Slack thread, and run scheduled tasks. Cloud agents automatically subscribe to pull requests they create and drive them to completion. #3 𝕏 Mustafa Suleyman announced that MAI-Image-2.5 is ranked #1 on the Artificial Analysis leaderboard for image editing. #4 𝕏 Logan Kilpatrick announced that Google AI Studio now supports GitHub repository imports and bi-directional push/pull synchronization. A new UI also supports force pushes and merges. #5 𝕏 Qwen shared that Qwen3.8-27B ranked as the #1 open-weight model on Harvey’s Legal Agent benchmark, describing it as capable of professional tasks while remaining small enough to run locally. #6 𝕏 NVIDIA shared that NVIDIA cuOpt, its open-source solver, is the fastest open-source solver on Hans Mittelmann benchmarks across three optimization problem classes. #7 𝕏 Results from benchmarks of 300+ NVIDIA verified skills on real tasks showed that using skills improved correctness by 41 points, effectiveness by 39 points, and efficiency by 35 points. SkillEvaluator is open source for testing skills before shipping. #8 𝕏 Philipp Schmid shared that Gemini 3.7 Flash ranked first on Artificial Analysis’s new AA-AnalystAgent, which covers 80 real-world quantitative analysis tasks across 14 business and scientific domains. #9 𝕏 Claire Vo shared how she uses Codex browser/Chrome/computer for operational tasks including accounting, inbox management, Stripe Radar configuration, browser-based QA, security questionnaires, SaaS setup when an API is unavailable, and subscription cancellation. #10 𝕏 Madhu Guru shared an eval strategy for AI products: define a rubric, use the best available measurement process to establish a trustworthy quality frontier, then reduce costs through automation, smaller judge models, sampling, and deterministic checks where relevant. #11 𝕏 Santiago shared an unnamed automated AI agent security testing tool for chat, code, and phone-based voice agents that runs 10,000+ jailbreaks and adversarial attacks. #12 ▶️ Biggest Unlock for AI Agents in 2026: Skillsmaxxing Greg Isenberg Remy stores company agent skills as Markdown SOPs in a GitHub repository, converts the repository into department-specific plugins with JSON files, and installs those plugins in Claude Code and Codex with auto-update enabled.
“Cloudflare’s AI crawl control, pay per crawl, Monetization Gateway, and x402 payment rail use HTTP 402 responses to charge AI agents for access to pages, datasets, APIs, MCP tool calls, files, and search indexes.”
Cloudflare will make 1000+ AI millionaires Greg Isenberg Cloudflare’s AI crawl control, pay per crawl, Monetization Gateway, and x402 payment rail use HTTP 402 responses to charge AI agents for access to pages, datasets, APIs, MCP tool calls, files, and search indexes. Under x402, an agent requests a resource, receives an HTTP 402 “Payment Required” response containing the price, pays, retries with proof of payment, and Cloudflare verifies the payment at the edge before the request reaches the origin.
“A cron-based cold-outbound agent pulls LinkedIn post engagers through Apify and API Maestro, waterfalls their profiles into email and phone data for email and LinkedIn outreach, while a second agent converts calls, Slack, and transcripts into LinkedIn posts scheduled through Ordinal.”
#20 ▶️ These AI Marketing Agents Get You Customers Greg Isenberg A cron-based cold-outbound agent pulls LinkedIn post engagers through Apify and API Maestro, waterfalls their profiles into email and phone data for email and LinkedIn outreach, while a second agent converts calls, Slack, and transcripts into LinkedIn posts scheduled through Ordinal. API Maestro’s Apify actors for LinkedIn profile posts, post reactions, and post comments were used with Claude Code; one post extraction returned 63 raw engager profiles before deduplication.
“How I AI Podcast Nick Baumann uses ChatGPT Work voice to delegate browser-based travel and expense tasks, ChatGPT Sites to build and privately share a searchable website, and a custom UGC Video plugin to turn raw clips into edited vertical videos.”
#9 ▶️ How this OpenAI engineer uses Codex + ChatGPT Work to automate everything How I AI Podcast Nick Baumann uses ChatGPT Work voice to delegate browser-based travel and expense tasks, ChatGPT Sites to build and privately share a searchable website, and a custom UGC Video plugin to turn raw clips into edited vertical videos. Using a hotkey-triggered voice orb that can read the current screen via an appshot, ChatGPT Work checked a Slack offsite message, checked calendar availability through plugins, created a travel task for SFO-to-Paris flights and a policy-compliant hotel in Navon, and created a separate task to find an Amazon microphone receipt and stage—without submitting—an expense report. ChatGPT Sites supports a SQL database, S3 file storage, and environment variables; the site built during the conversation used How I AI’s purple, black, and white branding, categorized video tips by AI tool and function, and could be shared publicly or restricted to individual email addresses through ChatGPT login. Nick Baumann’s UGC Video plugin processed roughly 20 clips in the live run by extracting transcripts, reviewing frames, selecting takes, and assembling an organic vertical video; for another workflow, he uploaded 50 or 60 clips for three videos, dictated the narratives, left it running overnight, and returned to completed outputs, including automated moving blurs over sensitive on-screen material. Also covered by: @claire vo
“Greg Isenberg Demonstrates setting up an automated monthly SEO loop using Claude Code/CodeEx connected to Google Search Console and Data for SEO APIs to iteratively improve Google rankings at under $5 per run.”
#9 ▶️ Making $$$ with Loop Engineering Greg Isenberg Demonstrates setting up an automated monthly SEO loop using Claude Code/CodeEx connected to Google Search Console and Data for SEO APIs to iteratively improve Google rankings at under $5 per run.
“Greg Isenberg Uses Grok 4.5 inside a Hermes agent on Orgo—with connectors like Agent Mail, Agent Phone, Agent Card, Composio, Idea Browser MCP, X MCP, and vidIQ—to autonomously provision cloud VMs, craft a startup landing page in ~40 seconds, and generate startup ideas, video thumbnails, market insights, and a cold-email sequence in one session.”
#21 ▶️ Grok 4.5 is a bigger deal than Fable 5 Greg Isenberg Uses Grok 4.5 inside a Hermes agent on Orgo—with connectors like Agent Mail, Agent Phone, Agent Card, Composio, Idea Browser MCP, X MCP, and vidIQ—to autonomously provision cloud VMs, craft a startup landing page in ~40 seconds, and generate startup ideas, video thumbnails, market insights, and a cold-email sequence in one session. Grok 4.5 delivers Opus 4.8-level intelligence at ~1/10th the cost and 10–15× the execution speed of Fable. A text command (“spin up a new computer with Hermes installed and Grok 4.5”) launched a fresh Orgo cloud VM with Hermes agent, injected API key, and pinned the model in seconds.
“GPT 5.6 SOL IS HERE! How to use it. Greg Isenberg Dan Shipper uses OpenAI Codex Desktop with the GPT-5.6 model and plugins like Tend, Mailroom, and compound-engineering (LFG and goal) to automate email, Slack, meeting notes, and live-build a SaaS prototype called Turnaround.”
The newsletter’s video section attributes a practical demo of Codex Desktop workflows to Greg Isenberg and Dan Shipper.
“Greg Isenberg presents an 8-step, 30-day playbook using Claude, chatbt, and Fable to launch an AI agent-first SaaS by shadowing 10–20 real jobs, building a minimal draft-and-approve or triage agent, evaluating it on 50 examples, wrapping it with logs and approvals, then selling a pilot and productizing repeatable parts.”
#11 ▶️ AI Agents are the new SaaS Greg Isenberg Greg Isenberg presents an 8-step, 30-day playbook using Claude, chatbt, and Fable to launch an AI agent-first SaaS by shadowing 10–20 real jobs, building a minimal draft-and-approve or triage agent, evaluating it on 50 examples, wrapping it with logs and approvals, then selling a pilot and productizing repeatable parts.
“Build a daily briefing AI agent using Ollama or LM Studio that ingests calendar entries, a folder of notes, and saved links, displays sources, and requests approval before delivering actionable summaries.”
#8 ▶️ "Learn AI” Is Bad Advice. Learn This Instead Greg Isenberg Build a daily briefing AI agent using Ollama or LM Studio that ingests calendar entries, a folder of notes, and saved links, displays sources, and requests approval before delivering actionable summaries.
Related
An AI coding assistant environment used for running evaluation skills and agentic workflows. In this issue it is mentioned as a runtime for ai-evals-course material and as an agent in an OpenRouter-like system.
An AI company best known for Claude. It is referenced implicitly through Claude’s memory and Cowork features.
An AI company building frontier models, ChatGPT, and custom inference hardware. Here it is discussed for Jalapeño and ChatGPT Business Premium Seats.
Anthropic’s assistant, discussed here for shared memory across chat and Cowork. The feature is relevant to PMs because it enables cross-task context reuse and user-controlled memory.
An AI coding tool referenced as providing data used to evaluate Grok 4.6. It is also named later as a target environment for running AI eval skills.
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.
An AI coding agent or environment mentioned as a place to run AI eval skills. It is also listed as one of the agents that can be compared in a shared environment.
A standardized agent test suite referenced for model evaluation. The newsletter cites success rates on OpenClaw as part of the Nemotron benchmark result.
OpenAI’s conversational AI product used by the design team to prototype ideas and test interface decisions. Here it is also part of a rapid experimentation workflow.
An interoperability protocol for connecting AI systems and tools. Here it is described through a public roadmap covering long-running workloads, local-server HTTP, discovery, identities, permissions, and generated SDKs.
Google’s AI application builder and workflow environment. Here it is noted for GitHub repository import and bidirectional sync, which matters for AI product workflows and developer experience.
A handoff-oriented Claude workflow tool used to continue sessions and power inbox automation.
A workplace messaging platform used here as an operational surface for AI agents. PMs may care because agent integrations increasingly extend into team communication workflows.
Autonomous or semi-autonomous AI systems that use tools, manage context, and complete tasks on behalf of users. The newsletter discusses common blockers such as tool quality, context overload, and system verification.
A Perplexity product positioned for wide and deep research workflows. The newsletter frames it as a best-in-class product powered by the Search SDK.
A payments and commerce infrastructure tool used to support pre-orders in the fashion-business workflow described. Relevant for AI PMs building monetization and checkout flows.
An agent platform whose agents can schedule wake-ups, retain context, and trigger workflows. Useful for PMs exploring persistent, scheduled AI automation tied into collaboration tools.
OpenAI's coding agent system used here to build NVIDIA AI's TensorRT Model Connect and also referenced as a benchmarked assistant in connector support comparisons. Relevant to PMs considering AI-assisted software engineering.
A frontier model release referenced as improving price-performance for developers. It is discussed as being available in Kiro for more cost-effective application development.
A Claude model version praised for personality and writing style. The newsletter contrasts it with Opus 5 as more concise and friend-like.
An embeddable assistant capable of streaming answers, rendering UI, and acting within applications.
An AI design tool used to clarify requirements before prototyping. It is highlighted for its clarifying-questions workflow.
A workspace and note-taking tool used here to store research outputs as cards. In this workflow it supports agent-generated content operations.
The parent company whose products are hosting early access to Qwen3.8-Max-Preview. It appears as the platform distributor for the model preview.
A product or version referenced in comparison with GStack. The newsletter uses it as a marker for a workflow change in Claude Code usage.
An unspecified system or capability referenced by Boris Cherny as being used unchanged by his group. The newsletter provides little detail beyond its use in cybersecurity refusal work.
A tool for generating video graphics and programmatic video content. Here it is used within a Codex-powered workflow to create branded overlays.
Cloudflare provides web infrastructure, bot protection, and edge services that are increasingly used for AI agent monetization and control.
A coding and research tool used here for optimizing order execution latency. Relevant to PMs as part of an AI-assisted quantitative workflow.
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.
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.
An AI agent environment or product that can host models and persona features. In this newsletter it appears both as a place where Qwen3.8-Max is available and as a tool with a /personality feature.
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.
A founder demonstrating the Nebula AI agent platform. The newsletter credits him with the product demo and workflow details.
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 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 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.
Creator featured in a walkthrough optimizing OpenClaw with Claude desktop and related automation techniques.
Stay updated on Greg Isenberg
Get curated AI PM insights delivered daily — covering this and 1,000+ other sources.
Subscribe Free