“The recap describes how Kath Korevec uses ChatGPT Sites with Codex and connected plugins to deploy personalized internal tools, including a permission-aware incident-command overview drawing on Slack, Notion, and calendar data.”

#2 ▶️ How the OpenAI team uses ChatGPT Sites daily How I AI Podcast The recap describes how Kath Korevec uses ChatGPT Sites with Codex and connected plugins to deploy personalized internal tools, including a permission-aware incident-command overview drawing on Slack, Notion, and calendar data.

“Dots costs $100 per month, while Sign in with ChatGPT launched with 16 partners, including Devin, Notion, Vercel, and OpenClaw.”

#10 ▶️ The one OpenAI announcement that can actually make you money... Fireship Fireship recapped OpenAI’s Dev Day 2026 announcements: GPT-6 Astra-powered Dots personal agents, the Decisions API for fixed-option classification with Luna, and Sign in with ChatGPT, which lets users spend their own ChatGPT token balance instead of developers’ tokens. Dots costs $100 per month, while Sign in with ChatGPT launched with 16 partners, including Devin, Notion, Vercel, and OpenClaw.

“Their workflows include a chief-of-staff bot purchasing 3D-printing filament and updating Notion, a designer bot using Figma MCP to expand one manually created key frame into an end-to-end flow, and Lauren’s engineering lead delegating work to bots and cloud agents, while Grok Bot’s agent-friendly codebase allows some pull requests to auto-merge before she reads them.”

GenAI PM Daily - Anthropic announces faster, lower-cost Claude Sonnet 5.5 September 29, 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. Anthropic announces faster, lower-cost Claude Sonnet 5.5 #4 ▶️ We Built Grok Bot. Here Are Our 14 Best Bots | Peng Zheng & Lauren Tan Peter Yang Peng Zheng and Lauren Tan demonstrate persistent, role-specific Grok Bot agents for personal administration, product design, and engineering pull requests. Their workflows include a chief-of-staff bot purchasing 3D-printing filament and updating Notion, a designer bot using Figma MCP to expand one manually created key frame into an end-to-end flow, and Lauren’s engineering lead delegating work to bots and cloud agents, while Grok Bot’s agent-friendly codebase allows some pull requests to auto-merge before she reads them.

“Peng Zheng and Lauren Tan use Grok Bot as persistent, role-specific agents coordinated through group chats, Figma MCP, Notion, cloud agents, skills, and routines.”

#3 ▶️ We Built Grok Bot. Here Are Our 14 Best Bots | Peng Zheng & Lauren Tan Peter Yang Peng Zheng and Lauren Tan use Grok Bot as persistent, role-specific agents coordinated through group chats, Figma MCP, Notion, cloud agents, skills, and routines. The 14 highlighted bots include agents that expand one manually created key frame into an end-to-end Figma flow, buy filament, manage a listing whose price was to be lowered by $5 each week if there was no interest, audit bot transcripts, and delegate engineering tasks; Grok Bot’s agent-friendly codebase also permits some pull requests to auto-merge before Tan reads them. Also covered by: @Peter Yang

“Every reviews its Notion pipeline weekly during all-hands and evaluates ideas by repeat usage, whether they are 10x better, and whether they are affordable at customer scale.”

#6 How to build products on a moving frontier | Dan Shipper (Every) Lennys Podcast Dan Shipper outlines a labs-team research pipeline in which one- or two-person “pirate and architect” teams run parallel AI experiments, test promising work internally, and transfer validated winners into the main product. Labs teams explore new model capabilities and discard roughly 90% of experiments; product teams are expected to adopt about 10% of lab experiments while improving and scaling the existing product. Every’s “Kate bench” used Fable with three years of Kate’s historical copy edits to create an Every agent that files suggested edits on drafts; Yannik added a dashboard tracking accepted suggestions and remaining edits. After the copy-editing agent was deployed internally, Kate performed 12% less editing work on those documents than in the previous month; Every reviews its Notion pipeline weekly during all-hands and evaluates ideas by repeat usage, whether they are 10x better, and whether they are affordable at customer scale.

“Daniel Blum uses Claude Cowork, Notion, Slack, Gmail, calendar data, and Granola meeting transcripts in a self-improving PM workflow that creates and maintains his weekly priorities, daily brief, context files, and task inbox; he says it lets him complete in one day work that previously took a week.”

#3 ▶️ I built a Claude Cowork system that does a week of PM work in a day How I AI Podcast Daniel Blum uses Claude Cowork, Notion, Slack, Gmail, calendar data, and Granola meeting transcripts in a self-improving PM workflow that creates and maintains his weekly priorities, daily brief, context files, and task inbox; he says it lets him complete in one day work that previously took a week. Daniel Blum’s Sunday “weekly prep” recurring task pulls from Notion, calendar, Slack, and Granola transcripts, recommends additions or removals for “Top of Mind,” “This Week,” and “Inbox,” prepares him for upcoming meetings, and writes the confirmed plan into his Notion board. His daily Claude Cowork morning brief reviews recent Slack messages, emails, and Granola notes; it identifies company terms, files, milestones, or goals missing from its context—such as “the settlement cap”—asks Daniel Blum whether to save them, and adds approved definitions to context files. Daniel Blum says he manages about 70% to 80% of his computer-based work through Claude Cowork; Melio’s “Workstation” plugin onboards employees in about 15 minutes by connecting tools, mapping colleagues and management, reviewing calendar and Slack context, capturing goals, and creating an individual writing voice.

“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.”

#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.

“Riley Brown uses Codex skills to research YouTube videos, generate Remotion graphics and Excalidraw diagrams, draft Notion content outlines, and build Paper-based YouTube thumbnail variations for his 1.5M+ follower AI-content business.”

#3 ▶️ How I Run My 1.5M+ Follower Content Business With Codex | Riley Brown Peter Yang Riley Brown uses Codex skills to research YouTube videos, generate Remotion graphics and Excalidraw diagrams, draft Notion content outlines, and build Paper-based YouTube thumbnail variations for his 1.5M+ follower AI-content business. His YouTube researcher skill uses the Supadata API to pull a full transcript from a YouTube video in about one second; Codex sub-agents can scrape an entire channel in about 30 seconds. He chains an “internet image puller” skill using SerpAPI and Google Images with a Remotion best-practices skill: the agent pulls relevant logos from a video transcript, creates branded graphics, and exports them as overlays for edited video. For thumbnails, Codex scrapes high-performing thumbnails—including Alex Hormozi and Dan Martell examples—into Paper, then Riley Brown uses Paper’s built-in AI image generation to replace the original subject with his own image and iterates on details such as face smoothing, outline glow, text, and colors.

“Rohan Varma uses the OpenAI Codex app (agent control plane) to pull context from Slack, Notion, Linear and Google Drive; automate Slack reply triggers; prototype UI variants via the built-in ImageGen skill; and convert Notion documents into live Sites.”

#3 ▶️ OpenAI PM Reveals How He Uses Codex to Do Product Work | Rohan Varma Peter Yang Rohan Varma uses the OpenAI Codex app (agent control plane) to pull context from Slack, Notion, Linear and Google Drive; automate Slack reply triggers; prototype UI variants via the built-in ImageGen skill; and convert Notion documents into live Sites. Codex integrates with Slack, Notion, Linear, email and Google Drive to synthesize thousands of daily feedback messages, enabling onboarding to a new project with full context in 20 minutes. Invoking the "imagegen" skill with a single screenshot in Codex produced four distinct UI mockups for a project-selection interface in under a minute and then generated a live prototype via the Sites feature. Codex was instructed to schedule a daily automation that parses a Slack channel for feedback, creates or updates Linear issues, and posts a summary in Slack to Rohan Varma, deleting the automation after each run.

“Cursor now lets you delegate tasks directly from Notion using the Cursor SDK.”

Notion is referenced as the place where users can delegate work to Cursor agents. The item implies a bridge from documentation/planning to execution.