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Grace Leung's Dot coordinates a full AI marketing team on Slack while she's away

@graceleung

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Claim the HubSpot x ChatGPT AI Growth Bundle offer here: https://clickhubspot.com/70bb32 ChatGPT just got its biggest upgrade yet. With Work, Codex, skills, agents, and now dots, it's no longer just a chat app. In this video, I'll show you how to build your own marketing team inside ChatGPT, step by step, with no coding required. From setting up the brand context, create reusable marketing skills, build specialist agents, and get them working together on a marketing campaign. And how to message my dot on Slack and let it coordinate the team while I'm away from my desk. Timestamps: 00:00 ChatGPT for your marketing / 01:20 Setup Your Dot / 02:03 The AI Marketing Team we're building / 09:51 Using Dot to Orchestrate Agent Team / 12:34 The Full AI Team in action

Uploaded 2026-10-03 by YouTube channel Grace Leung. A first-hand build: she sets up a Dot in the ChatGPT desktop app, builds reusable marketing skills and specialist agents with brand context, then messages her Dot on Slack to orchestrate the whole AI marketing team on a live campaign while away from her desk — ending with 'The Full AI Team in action'. No ChatGPT_Partner tag; the HubSpot bundle link is a sponsor mention, the build itself is her own.

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I tested OpenAI's new always-on agent, Dots, on 12 real business tasks — live, no cuts to the results — so you can decide whether it's worth $100 a month before you pay for it. Dots runs on GPT-6 Astra, has its own cloud computer, and keeps working while your laptop is closed. I set one up from scratch, called it on the phone, then threw 12 real jobs at it: fixing bugs in an app from a URL, writing a launch email with a before/after image, competitor research, a client mock-up, finding and cutting interview clips, sending an invoice reminder, filling in a form, booking time in my calendar, prepping for a meeting, finding a warranty in my inbox, a daily briefing and triaging 62 emails. Final score: 10.5 out of 12. It nailed most of them — but one flat-out failed, and the biggest limitation might surprise you.
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