“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.

“The video details running a 12-billion-parameter AI model locally on a 16 GB RAM machine using LM Studio or Ollama, applying Q4 quantization, and connecting it to the Hermes agent for an always-on, offline private AI layer.”

The video details running a 12-billion-parameter AI model locally on a 16 GB RAM machine using LM Studio or Ollama, applying Q4 quantization, and connecting it to the Hermes agent for an always-on, offline private AI layer. LM Studio offers a GUI with a model browser and one-click runs, while Ollama provides a single-command CLI, both enabling local model deployment in approximately 10–20 minutes without internet or API keys.

“#9 ▶️ You are using Claude Fable 5 wrong Greg Isenberg An Anthropic employee leveraged Fable 5 to transcribe 17 takes of four video scenes using 11 Labs and Whisper, auto-select best shots via sub-agents into a JSON-driven FFmpeg workflows/gold pipeline, stitch clips, render static frames with Remotion, and apply professional color grading.”

#9 ▶️ You are using Claude Fable 5 wrong Greg Isenberg An Anthropic employee leveraged Fable 5 to transcribe 17 takes of four video scenes using 11 Labs and Whisper, auto-select best shots via sub-agents into a JSON-driven FFmpeg workflows/gold pipeline, stitch clips, render static frames with Remotion, and apply professional color grading.