https://www.youtube.com/watch?v=Q9tF0R8d_Co John Aspinall builds a ChatGPT Dot from scratch on Pro: character + name, cloud computer, voice calls, parallel research jobs, an Amazon browser attempt, and routine ideas — with usage still at 94% at the end. Access And Create 1. Pro plan ($100) in this demo — Dot appeared under Your Dot after DevDay rollout lag 2. Prefer ChatGPT side over Codex tasks so Dot work does not burn Codex usage (he frames Dot usage as not hitting normal usage the same way) 3. Create Dot — always-on agent powered by Astra; setup spins up the cloud computer 4. Choose where it can work — Dot computer always on; optional toggle for your own computer 5. Customize character (presets or builder), colors, accessories; name it; save 6. UI color-matches the Dot once saved Cloud Computer 1. Open the Dot computer — Linux desktop with browser and terminal 2. Speed test in demo was modest vs what he had seen on Grok Bot cloud PCs 3. You can take control then return control to the Dot 4. Branded animations while it works (extra UI polish vs Grok Bot in his view) Voice Calls And Naming 1. Call the Dot from the phone/call UI — brief connection delay is normal 2. Voice matches your ChatGPT voice setting — changing Dot voice may change regular voice chats too 3. He named it Roger, heard a female voice, then renamed to Dolly rather than change voice globally 4. Dot confirmed GPT-6 Astra when asked; model picker is not exposed in the Dot chat the way normal chats are 5. Slack connector is available during setup (he selects Slack as an integration option) Parallel Tasks He Fired 1. One continuous Dot thread — no sub-chats / only one Dot for now (vs multiple Grok Bots) 2. DevDay infographic in chat 3. Research modern electricity / power over ~100 years 4. Top 10 restaurants for someone staying in Times Square 5. Safe self-summary of who he is / what he does (no client secrets) 6. List current connectors / what it can touch (email, computer, docs, Figma, Fathom, research)