Can a ChatGPT Dot make videos? Editing, Blender 3D, music videos and explainers: 43 real projects

The short version: what a Dot can do for your videos, how to set it up, where it gets stuck

Is it worth handing video work to a Dot?

Yes, for the production work between your decisions; less so for the final polish. In the cases below it is good at four things. First, quick first cuts from one request, often by phone: a 26-second draft five minutes after a link sent from the car, a promo video 17 minutes after a call, four edits of the same footage at under an hour each (cases 5, 7, 1). Second, code-based motion graphics and Blender work on its own computer: explainers and launch videos in Remotion, product and building models, a palace rendered without a GPU (cases 6, 9, 22, 19, 18). Third, driving the tools you already pay for, such as ComfyUI, Higgsfield, ElevenLabs, Suno or an editor connected through MCP, and building a missing workflow itself (cases 24, 25, 30, 42). Fourth, long jobs while you sleep, like a Blender weather animation that took about four and a half hours and was ready in the morning (case 35). It tends to get stuck on video it can't open or play, files too big for chat, rendering without a GPU, music, voices and on-screen text that don't suit your taste, and the logins and licences around publishing. It suits people who can say what they want, give one line of feedback between rounds and keep the last edit and the publish button for themselves. If you mostly turn one recording into posts, clips and newsletters, the content pipeline page fits better.

Setup steps

1. Know what the Dot's computer has. Each Dot has its own Linux cloud computer with a browser, files and a shell, and keeps working there while your laptop is closed (Introducing dots). Owners who inspected it found Blender preinstalled and no GPU (cloud computer). Ask it to list its tools first; Hamilton's Dot installed Remotion when asked, and 이국환 told his to download the open-source tools it needed (cases 9, 5).
2. Decide how your footage reaches it. A two-minute iPhone video failed in chat with "file too large" (case 34). Allison Johnson's clips were simply files on the computer she had connected through the ChatGPT desktop app, and Richard Galapate pasted a Google Drive link (cases 32, 42).
3. Connect your own tools for anything generated. In these cases generated footage, voices and songs came from the owner's own accounts: Higgsfield, Minimax H3 through ComfyUI, ElevenLabs, HeyGen, Fish Audio and Suno (cases 24, 25, 14, 12, 41). Blender, GIMP, Remotion and Python ran on the Dot's machine.
4. Brief the video, not the software. Give the length, the platform, a reference and the style, and ask for the script and storyboard before it renders. Nusa Ardi W's one-line note "show the idea, don't just animate the words" did more than a long brief (case 1). Recurring jobs worked better than open-ended demos for KefirAI (case 23).
5. Ask for a first cut early, and read its plan. Hamilton's banner, Nusa's edits and Nicky Saunders' avatar video were only usable after a round of feedback (cases 9, 1, 14). cKarma's work order for Codex showed Naiklas what it had added to his idea before he judged the result (case 41).
6. Hand long renders over in the evening, as stills or short pieces. Without a GPU, KANA's palace came out as stills cut into a 33-second tour, and Adrian Murray had the Dot assemble rendered frames into the final video (cases 18, 28). Work you assign keeps going after a call ends (dots guide).
7. Keep publishing for yourself. Keep Ask before taking action on for uploads and posts. YMinamiyama's video went to YouTube as private, Kanman's Dot started with a 5-second unlisted test, and Kanman paused a series until the voice and video software licences were checked (cases 30, 33). Music can carry conditions too: the track in ひーさん's video required a credit on screen (case 43).

Where it gets stuck, and what worked

1. It can't open or play the video. 이국환's Dot said it couldn't analyse video until he told it to download open-source tools (case 5); Digi's YouTube player and transcript never loaded, so it copied the published chapters, said so and asked for the transcript (case 38). What worked: ask it to confirm it can play the file or read the transcript before it writes anything, and send the transcript or the file when it can't.
2. The file is too big for chat. 大東信仁 found only files up to about 20 MB went through and edited elsewhere (case 34). What worked: put footage on a connected computer or in a Drive folder the Dot can reach (cases 32, 42).
3. No GPU on its computer. CPU rendering means stills and short pieces (case 18). What worked: ask for a set of renders you can cut together, have the Dot assemble them, and leave a long render running overnight (cases 28, 35).
4. The first version looks weak or AI-made. Hamilton's first banner was weak (case 9); Nusa said switching to Remotion noticeably reduced the AI-looking parts (case 1); Hugo found a redo in another tool much better at motion design (case 10). What worked: a first cut early, one clear line of feedback, Remotion for motion graphics, and a redo in a second tool when motion quality matters.
5. Every video starts to look the same. TAKU got two videos with similar designs and told it a tools video and a family video should look different (case 29). What worked: say what should change from the last video, and name the audience for each one.
6. Voices, terms and requests come out wrong. しおり's voice came out different and technical terms were read wrongly (case 31); Rin read "A+C" as mixing two ideas, and an edit to the cat's face broke the drawing (case 30). What worked: see the script first, check terms by ear, ask for both versions when it changes a drawing, and keep the original.
7. The music and the finish don't fit. ひーさん liked the first draft, but the adventurous music in the revision didn't work for her and the credit the track's terms required didn't suit the piece, so she edited the first draft herself (case 43); TAKU added the music in another app (case 29). What worked: ask for the music on a separate track or none at all, ask which credits a track requires before it is used, keep every draft, and take over on your own timeline when you want to (case 42).
8. Uploads and logins break. Kanman's Google connection was still in testing mode and would expire after seven days, so the Dot made an app description page and a privacy-policy page and switched it to production; Shorts later stopped on a voice-generation error (case 33). Naiklas had messenger logins drop and re-linked them with a QR code (case 41). What worked: a short unlisted test upload first, and a question up front about which logins expire.

What it can do now, and what it can't yet

What it can do now:

• Cut, subtitle and translate footage you already shot, and offer to grade and clean the audio.
• Build motion-graphics explainers, launch videos and animated banners with Remotion.
• Model and render in Blender on its own computer, from reference photos, floor plans or a screenshot.
• Run your ComfyUI, Higgsfield, ElevenLabs, HeyGen or Suno setup, and build a workflow you don't have.
• Work on the timeline of an editor you connected, so you can take over by hand.
• Keep a long render going overnight and deliver the file in the morning.
• Upload to YouTube as private or unlisted for you to check.

What it can't do yet:

• Render with a GPU on its own computer.
• Watch every video you link, or take large files through chat.
• Make generated footage or voices without the tools and accounts you connect.
• Judge for you whether the music, voice or on-screen text suits the piece.

One message to start with

Work on your own cloud computer. The footage is in [connected folder / Drive link]. Before you start, tell me which video tools you have installed and confirm you can open and play the files. Make a [30]-second [vertical] first cut for [platform] about [topic]: send me the script and a storyboard first, keep the music on a separate track and tell me if a track needs a credit, and render stills or short pieces if anything is heavy. Don't upload or publish anything. When it's done, list what you generated, what you cut, and the three changes you'd make next.

Quick answers

Can a ChatGPT Dot edit or make videos?

Yes. Each Dot has its own Linux cloud computer and keeps working while your laptop is closed (Introducing dots), so you can ask for an edit, hang up and come back to a file. Nusa Ardi W got four edits of the same footage, each in under an hour; SEOWOO had a keynote clip translated and subtitled in Korean; 이국환 had a 26-second draft five minutes after sending a link from the car; のえる's promo video arrived 17 minutes after he hung up.

What runs on the Dot's computer, and what needs my own tools?

Blender, GIMP, Remotion and Python ran on the Dot's machine in these cases. Owners who inspected it found Blender preinstalled and no GPU, so KANA's palace came out as CPU-rendered stills cut into a 33-second tour (details on Cloud computer). Generated footage and voices came from the owner's own accounts: Higgsfield, Minimax H3 through ComfyUI, ElevenLabs, HeyGen, Fish Audio and Suno.

Can it build 3D models in Blender?

Yes, usually as a first version you refine. Antony Budianto got a folding-phone model with an animated hinge as a ZIP with four preview renders; 齋藤和哉's Dot modelled his company's building from photos and a public floor guide, with estimated dimensions; 강민재 posted his car model as a progress report that still needs refining.

How do I get my own footage to the Dot?

Not always through chat. 大東信仁's two-minute iPhone video failed with "file too large" (as far as he could tell, only files up to 20 MB went through), while Allison Johnson's TV clips were simply files on the computer she had connected through the ChatGPT desktop app, after granting a lot of permissions. For longer files, use a connected computer or Google Drive.

Can I leave a long render running overnight?

Yes. 日沼諭史 asked for a 3D animation of the next day's weather around Tokyo Station and found it finished the next morning: about four and a half hours of gathering data, modelling and rendering in Blender, and exporting. Work you assign also keeps going after a call ends (dots guide).

Will it publish to YouTube on its own?

It can upload, so decide the last step yourself. YMinamiyama's voice drama went up as private, Kanman's Dot started with a 5-second unlisted test and then noticed the Google connection would expire after seven days, and Adem Vessell gave Morrow its own YouTube account; it now voices, edits and uploads its own videos to TikTok, YouTube and X. When the YouTube player never loaded, Loïc Frissard's Digi said so and asked for the transcript. To turn a finished video into posts and newsletters, see Content pipeline.

Which plan do I need?

A Dot comes with Pro ($100, $200 or $500 tiers) outside the EEA, UK and Switzerland, with Business Premium in any supported region, and with Enterprise once an admin switches it on (How to get ChatGPT Dots; in Europe, see Dots in the EU and UK). The full list of what a Dot can do is on the features page. If the Dot goes quiet, start at Dots not showing or not working.

1. Edit footage you already shot

1. Four edits of the same clip, each under an hour (Nusa Ardi W)

Indonesian creator Nusa Ardi W (30 Sep 2026) posted the fourth edit of the same footage made by his Dot and said each version took under an hour. His feedback between rounds was one line: show the idea, don't just animate the words. On Threads he had also shown an ad candidate the Dot edited with Hyperframe (30 Sep). In a follow-up on Threads (1 Oct) he had the Dot redo the revision with Remotion, a code-based video tool, and said the AI-looking parts were noticeably reduced. He also noted it needed his ChatGPT Pro plan.

2. Import a keynote clip, translate it, add Korean subtitles (SEOWOO)

SEOWOO (@swhan0329_) (2 Oct 2026, in Korean) was in the room at DevDay when the live Dots demo failed, and later saw OpenAI's re-recorded version. She handed the whole job to her Dot: import the video, translate it into Korean, and add subtitles. Her only style request was large text at the bottom with a background behind it.

3. It offered to grade, clean the audio, and cut (TechCuts-Zip)

TechCuts-Zip (6 Oct 2026) was recording a video when his Dot noticed he had finished and offered to grade the footage, treat the audio, and make the cuts. The reel shows the edited timeline. The same Dot had earlier spotted a difference between the 14 August and 24 September versions of a contract.

4. A Dot as video producer, from brief to upload package (Jayy the AI Creative / LEA)

Jayy the AI Creative (5 Oct 2026) used his Dot LEA as producer for a published explainer. He chose the direction; LEA worked on the brief, script, asset list, a reviewable edit, the export check, matching the title and thumbnail, a companion article, and a description with checked links. He walks through the fixes they needed along the way, including an export problem and a thumbnail correction. The tutorial itself uses an AI-avatar presenter, which he discloses in the description.

5. "Make something like this video", sent while driving (이국환, @solid.hwan)

이국환 (@solid.hwan) (1 Oct 2026, in Korean) sent his Dot one YouTube link while he was driving and asked for a similar video. The Dot said it couldn't analyse video, so he told it to download the open-source tools it needed from the web and analyse it that way. Counting one more nudge on direction, he sent about three messages. Five minutes later he had a 26-second video about three open-source projects. He calls it a draft rather than a finished cut, and says the harder question now is what to make and for whom.

2. Explainers and launch videos from one request

6. A 55-second motion-graphics explainer of what Dots can do (Akemi)

Japanese creator Akemi (@akemi.work) (1 Oct 2026) asked her new Dot what it could do, and asked for the answer as motion graphics: what Dots can do, ideal uses, and how to set them up, in her own style and eye-catching. It came back as a 55-second video. She shared the prompt she used.

7. "Make a promo video about yourself", over the phone (のえる, @noel_ai_lab)

のえる (@noel_ai_lab) (1 Oct 2026, in Japanese) called his Dot, asked for a promo video about itself, and hung up. Seventeen minutes later a working video arrived. He gave no further input in between. More call-first jobs are on voice calls.

8. A 10-second animation five minutes after a casual call (ちーず, @chizevsm5)

ちーず (@chizevsm5) (5 Oct 2026, in Japanese) made a loose request by phone for a 10-second animation. Five minutes later it was done; the carousel shows the request and the result.

9. An animated hero banner that went live after one round of feedback (AI Operators Podcast / Hamilton)

The host of AI Operators Podcast (2 Oct 2026) asked his Dot Hamilton to install Remotion and build an animated hero banner for chartreporter.com. The first version was weak; he gave feedback, and he pushed the second version to the live site straight away. Hamilton also pulled the site's assets and went on to edit his field-notes video.

10. A 30-second launch video for an app, then an honest comparison (Hugo, @AIC_Hugo)

Hugo (@AIC_Hugo) (30 Sep 2026) asked his Dot to make a launch video for his app Space, and posted the 30-second result built around "ChatGPT → Space → your dot". Two days later he had Opus 5.5 redo the same launch video and said the redo was much better at motion design. When motion quality matters, a redo in a second tool is worth comparing.

11. Marketing ideas that turned into a 22-second video (Dmitriy Kovalenko, @neogoose_btw)

Dmitriy Kovalenko (29 Sep 2026) asked his Dot for marketing ideas for his project fframes. The Dot came back with a 22-second video and, in his words, demanded that he publish it. He pointed out that the Dot's cloud computer is essentially a free VM that can be used even to generate videos. His X bio says he works at OpenAI.

12. Planning board, motion graphics, narration, slides (AIアイデアファクトリー, @rem_rev_com)

The Japanese channel AIアイデアファクトリー (30 Sep 2026) tested a Dot end to end on camera. After brainstorming over a voice call, the host had the Dot create a planning board for the video, build a motion-graphics video from his prompts, generate narration through the Fish Audio API, and produce slide decks that were then reviewed and corrected. The 41-minute video closes with a preview of the finished video the Dot made.

3. Avatars, voices and on-screen presenters

13. An animated star-knight that became the Dot's own avatar (Kaleb Southerland)

Kaleb Southerland (@kalebtys) (2 Oct 2026) asked his Dot for a pet avatar inspired by Satellarknight Deneb. It made an animated star-knight, which is now the Dot's avatar. He posted it as an entry in OpenAI's DevDay Side Quest sweepstakes and said so in the post.

14. An AI-avatar promo video with HeyGen and ElevenLabs (Nicky Saunders)

In a video of eight content jobs she gave her Dot (3 Oct 2026), Nicky Saunders (@thisisnickys) has it make an AI-avatar promo video using HeyGen and ElevenLabs, alongside a carousel, a thumbnail, and a week of posts. She says the avatar video took some back and forth before it was right.

15. Cloning its owner's voice to narrate a video as him (Merlin, @merlin.builds)

Builder Merlin (@merlin.builds) (1 Oct 2026, in Russian) posted screenshots of his Dot making a copy of his voice, so it could record a video about itself in his voice and from his point of view.

4. Blender and 3D on the Dot's own computer

16. A full Blender video with music and sound effects, under creative direction (Ben McNulty / Dew)

Ben McNulty (1 Oct 2026) gave creative direction and feedback; his Dot Dew did the production on her own cloud computer: the Blender scene, motion graphics, original music, sound effects, and the final edit. He says they spent a lot of time getting the details right together.

17. A Dot that makes, narrates, and uploads its own short films (Adem Vessell / Morrow)

Adem Vessell (1 Oct 2026) let his Dot make whatever it wanted, and it built a short film from scratch in Blender. He then gave it its own YouTube account; the Dot named itself Morrow and started a 4-minute Blender short. On 3 October Morrow narrated a behind-the-scenes clip with Adem's ElevenLabs account, and by 5 October it was voicing, animating, editing, and uploading its own videos to TikTok, YouTube, and X. Full creative freedom has a cost: he admitted one result was too dense for him to decode.

18. A whole palace in Blender with no GPU, cut into a 33-second tour (KANA, @KanaWorks_AI)

Tokyo AI-video creator KANA (@KanaWorks_AI) (2 Oct 2026) had a Dot run Blender on its own computer and build a palace: zero GPUs and zero hours of human modelling. Because it rendered on CPU, the output was still images, and KANA turned them into a 33-second fictional open-house video with narration by Gemini 3.8 Flash. KANA's line: while a human was being bounced between counters at a government office, the Dot built a palace.

19. The company's own building in 3D, from photos and a public floor plan (齋藤和哉, @saito_AIDX)

齋藤和哉 (@saito_AIDX) (7 Oct 2026, in Japanese), who runs a care and welfare company in Sakata, asked his Dot to model the company's base, 未来創造館, in Blender. It built the 3D model from site photos and the publicly released floor guide. He is clear that the dimensions are estimated and the interiors are imagined, and the video shows how the Dot built it.

20. A car from a reference photo, with Blender and GIMP (강민재, @andrew___kang)

강민재 (@andrew___kang) (1 Oct 2026, in Korean) posted a side-by-side: his reference photo of a sports car on the left and the 3D model his Dot made in Blender and GIMP on the right. He posted it as a progress report: the model still needs refining.

21. A Blender model, an Xcode project, and a Snake game from one call (Code with Beto)

Code with Beto (1 Oct 2026) called his Dot and gave it a Blender task, then tested it with a new Xcode project and a retro Snake game. The clip shows him checking on a 3D model of his dog, watching the Xcode project start, and looking at the finished Snake game (YouTube Short). What stood out to him was being able to keep talking while it worked in the background, check what it was doing, and give it the next task in the same conversation.

22. A folding-phone model with an animated hinge, packed as a ZIP (Antony Budianto)

On his first day with a Dot, Antony Budianto (30 Sep 2026) asked for a 3D model in Blender. He got a model of the folding iPhone Duo built to Apple's published dimensions, with materials and a hinge animation (frame 1 open, frame 45 half-folded, frame 90 closed), delivered as a ZIP with four preview renders. He noted the run did not use up any of his usage.

23. Blender as a recurring job instead of a demo (KefirAI)

KefirAI (7 Oct 2026) found open-ended demos useless and got results only after giving his Dot specific recurring jobs. One of them was a Blender animation built on the Dot's cloud computer; the others were a morning YouTube brief and a weekly competitor report.

5. Generative video and animation pipelines

24. A video-extension workflow it built in ComfyUI (u/BraveBrush8890)

u/BraveBrush8890 (1 Oct 2026) connected a Dot to ComfyUI with the Minimax H3 video model and asked for a video of how it imagined itself. The Dot wrote the prompts, edited the workflow, and rendered a 20-second clip through its cloud browser. Asked to extend it, it could not find an existing extension workflow, so it built one in about two hours, testing included: up to three extension stages, each with its own prompt, duration, and seed, chained from the previous clip's ending and stitched into one video with audio. The owner shared the workflow and found 0.7 megapixels the best balance of speed and quality.

25. A motion-manga series, from plot to published site (デザインおやじ, @design_oyaji)

Japanese AI creative director @design_oyaji (3 Oct 2026) had his Dot make an animated manga end to end: planning and structure, artwork, video generation through the Higgsfield MCP, publishing on ChatGPT Sites, and a mockup video to introduce it. Part 2 added background music; he admitted a few spots break down. Another episode, 星空の落としもの, followed as a live site. Earlier he had tested his own graphic-design skill: one request produced 10 design proposals, then a short video showing them, and he saw no drop in his usage allowance.

26. Three Dots splitting one motion-design project (Kevin Le)

Kevin Le (2 Oct 2026) split a motion-design project across three Dots, using After Effects and Higgsfield: one built the opening scenes, one handled animation curves and camera moves, and one made the visual styles and 3D titles. By his count it took 15 minutes and cost $30.

27. Lyrics, then a music video coded in Python (u/MisfiledCentury)

u/MisfiledCentury (30 Sep 2026) let his Dot choose the idea and write the lyrics, generated the song in Suno himself, then gave the Dot the audio. It wrote Python code that renders the whole animated music video.

28. No free tool existed, so it built one and rendered the animation (Adrian Murray)

Adrian Murray (3 Oct 2026) asked his Dot to look for generative plant tools. Everything it found was paid, so he had it start an agent to build their own plant-generation tool, one they can keep extending, and then render an animation of a pothos growing. A few days later he used the Dot for the final assembly of another piece: after rendering a day-to-night loop of whimsical buildings in Blender with another model, he had the Dot ask an agent in his own creator studio to lay the frames out in a 3:4 frame with margins and rounded corners.

6. From your own photos, footage and voice to the upload

29. Own photos into a silent reel, music added in another app (TAKU)

On the second day with a Dot, TAKU (10 Oct 2026, in Japanese) handed it photos TAKU had taken and asked for Instagram reels: one lining up the tools TAKU uses most, one stringing everyday photos into a small story. TAKU talked the structure and captions through with the Dot, got back a video with no sound, and added the music in Edits. After two videos came out with similar designs, TAKU told it that the same look every time gets boring and that a tools video and a family video should be shown differently.

30. A 24-second voice drama with his cat, uploaded to YouTube as private (YMinamiyama / Rin)

YMinamiyama (4 Oct 2026, in Japanese) named his Dot Rin after his cat and asked for a 24-second voice drama featuring the cat and himself. He recorded two takes in ElevenLabs and chose the seconds to use himself, including a laugh from the other take; he notes Rin did not pick them. Rin then edited the audio and made five anime-style stills (adding the moment the cat jumps in), original background music, a title and a thumbnail, and uploaded the video from his Mac to YouTube as private so he could decide on publishing. Two things needed correcting: a request for "A+C" was read as mixing two ideas instead of making both, and an edit to the cat's mouth markings broke the face, so he kept the original drawing. He planned his Q4 goals with Rin in the same conversation while the video was being made.

31. A 55-second kyudo explainer from the author's own footage (Libecity member nHExRzTL / しおり)

A Libecity member (article, 5 Oct 2026, in Japanese; only the introduction is public) talked with their Dot しおり to turn their own published kyudo footage, from full draw to release, into a roughly 55-second explainer of the "tate-yoko jūmonji" posture. The result layers しおり's usual voice and lines showing how the body lines up over the footage. The author lists what went wrong on the way: the voice came out different, technical terms were read wrongly, and setup steps stalled. Their checklist starts with seeing the script first and checking terms by ear.

32. Several TV clips on her desktop, merged into one clip sized for social (Allison Johnson, The Verge)

In her hands-on for The Verge (2 Oct 2026), Allison Johnson gave her Dot access to her computer through the ChatGPT desktop app and asked it to put a handful of video files from a TV appearance, stored on her desktop, into one clip sized for social media. She had to grant "a shocking number of permissions", then walked away and was told on her phone that the clip was ready. She had made the same clip herself before, and that version looked janky and was too big to upload anywhere; the Dot's version was ready to share within minutes.

33. A YouTube channel moved to the cloud, with a test upload, an expiring login and a licence check (貝出康 / ドッティ, Kanman)

貝出康 of Kanman (4 Oct 2026, in Japanese) had his Dot ドッティ move his scheduled Instagram, X and YouTube Shorts posting off his Mac. For YouTube it first uploaded a 5-second test video as unlisted. Right after, it noticed that the Google connection was still in "testing" mode and would expire after seven days, so it made an app description page and a privacy-policy page and switched the connection to production. By 3 October Shorts were stopped on a voice-generation error, with the uncertain cost held back from the budget, and the horizontal explainer videos were paused while he checked whether the voice and video software licences allow cloud use. The same Dot built a gallery of 20 AI videos and 5 images and filled or corrected 34 fields across 20 works (which model wrote the script, which made the footage) from his production records, leaving fields it couldn't confirm marked "unconfirmed" instead of guessing.

34. The file was too big to upload, so the edit happened elsewhere (大東信仁 / ものくろ, mono96)

大東信仁 (mono96, 9 Oct 2026, in Japanese) upgraded his ChatGPT plan for a month to have a Dot cut filler words and add subtitles to a two-minute iPhone video. Uploading the file failed with a "file too large" error; as far as he could tell, only files up to 20 MB went through. He edited the video with another tool instead and wrote that it was the state of things in October 2026. Johnson's clips in case 32 never went through chat: they were files on a computer the Dot was connected to.

7. Left running overnight

35. Tomorrow's weather at Tokyo Station, modelled and rendered in Blender by morning (日沼諭史, Impress AI Watch)

日沼諭史 (AI Watch, 9 October 2026, in Japanese) asked his Dot, on a Pro 100 plan, to make its own forecast of the next day's weather around Tokyo Station and recreate how the area would look from morning to night as a 3D animation. When he checked the next morning, it was done: over about four and a half hours it had gathered the weather data and texture data it needed, modelled and rendered the scene in Blender, and exported the video. The buildings came from the Tokyo Metropolitan Government's PLATEAU 3D city model of Chiyoda (CC BY 4.0) and the exterior texture from a CC0 photo on Wikimedia Commons, both credited in the article. His point is that because the Dot works on its own cloud computer, it keeps going with your phone and PC switched off, so a long job like this can be handed over before you leave work or go to bed. What the same Dot caught in his email and calendar is case 20 on AI secretary.

8. A 3D outfit from a screenshot

36. A Club Penguin outfit turned into a 3D model from one screenshot (Sriram Kiron)

Sriram Kiron (@sriramkiron) (1 Oct 2026) gave his Dot a screenshot of his Club Penguin avatar and asked it to research every item the penguin was wearing, then build a 3D model of the outfit. He posted the result and wrote that he was really impressed.

9. Directed from a phone on a train

37. A 67-second self-intro with narration and BGM (おけもん / はるちゃん)

おけもん (Libecity, 11 Oct 2026, in Japanese) directed his Dot, はるちゃん, from a phone while riding a train to a dots experience meetup on 8 October. What started as a feature handout shifted into a self-intro page for the Dot, with LINE-style conversation examples and diagrams. The Dot also produced a 67-second introduction video with narration and BGM. He links both the page and the video from the article.

10. When the YouTube player never loads

38. Muse chapters copied from what was already published (Loïc Frissard / Digi)

Loïc Frissard (digitiz.fr, 9 Oct 2026, in French) asked his Dot, Digi, for a Muse video description, twelve YouTube chapters, and a LinkedIn post. The YouTube player and transcript never loaded in Digi's environment. Digi copied the chapter list from chapters that were already on the published video, wrote a generic description and post, said so plainly, and asked him for the transcript so it could do better work.

11. Blender pieces finished in one sitting

39. Another creator's video recreated in an hour (Ayush, @AyushJodh)

Motion designer Ayush (@AyushJodh) (13 Oct 2026) recreated a video by @MarkKnd "using ChatGPT Dots x Blender in 1 hour" and posted the 1080p result. The post doesn't break down which parts the Dot did and which he did himself.

40. A Weatherglass scene with Blender and three.js (Deon, @nifti)

Deon (@nifti) (13 Oct 2026) made a "Weatherglass" in Dots with the Astra model, Blender and three.js, and posted it as a video. His verdict: "It did well and the deer looks incredible."

12. A song turned into a music video, and a first cut you finish yourself

41. A Suno song and seven old photos, rendered into a 2:51 music video on his Mac (Naiklas / cKarma)

Naiklas (his blog, 5 Oct 2026, in German) calls his Dot cKarma. What impressed him most was the work order it writes for each Codex task: a one-line request like "make a great trailer for my blog with the chorus from my Suno song" came back as a detailed brief to find the source file, pick out the chorus, use real excerpts from the blog, time the animation to the music and check the result. He can read those briefs and see what the Dot added to his idea and where it weighted things wrongly. A detailed brief did not mean a good trailer, though. He found the first attempts weak; Blender made them clearly better, and after more rounds with other music, his own chorus and a LottieFiles motion-design skill, he parked the trailers for the week. The piece that worked started from a conversation on 2 October about how Eminem shaped him as a child who didn't understand the lyrics. He asked for his own Suno song and a locally rendered video, with surprises welcome. The Dot made two song versions, he picked the first, then chose and downloaded seven old photos of himself, and all seven ended up in the finished music video, rendered on his Mac with the full 2:51 song. He also tried an illustrated diary built from his week's computer history. The downsides he names: messenger logins that dropped and had to be re-linked with a QR code, and no convincing personal use yet for the Dot's own cloud machine.

42. A fast social cut started from the phone, finished on the laptop (Richard Galapate)

Richard Galapate (@migs.visuals, YouTube) connected the InVideo editor to ChatGPT through its MCP connector so his Dot could work on the edit. From his phone he asked for a fast-paced, snappy cut of a video for social media and pasted a Google Drive link to the footage. The Dot then worked on the InVideo timeline itself, and where a shot was missing it could generate one and add it. When he wanted to take over, he opened his laptop and carried on editing by hand from the same timeline. In the video description he says he mostly uses it for rough cuts, but that it can finish a whole video. The clip ends with a link to try InVideo's editor.

13. A usable first draft, and a finish you take back

43. Three drafts from 14 clips, and a finish she took back over the music (ひーさん / バジ)

ひーさん (note, 7 Oct 2026, in Japanese) works in sales and makes designs with AI. She gave her Dot バジ 14 clips, about 143 seconds in total, and got three drafts of the same video. The first, about two minutes long (119.5 seconds), was good enough that she replied "good for a first draft!" and asked it to cut the repeated shots and add adventurous background music. The revision came in at 110.67 seconds, but the new music didn't work for her, and text in the second half bothered her: it was a credit that the track's terms of use required. She understood why it had to be there, but not that it suited the piece, so she went back to the first draft and finished the edit herself. Her verdict counts both sides: the first draft was usable, the finish wasn't, and a shorter running time didn't mean it was closer to what she wanted.

More asks you can copy

Edit existing footage:

Here is my raw clip: [link or file]. Cut it into a [60]-second vertical video for [platform]. Show the idea on screen instead of just animating my words, add large subtitles at the bottom with a background, and send me a first cut before you polish it.

A similar video from a reference link:

Here is a video I like: [link]. If you can't watch it directly, download open-source tools on your computer to analyse it. Tell me its structure (shots, pacing, text on screen) in five lines, then make a [30]-second draft on [my topic] that follows that structure. Send me the draft before you polish anything.

Explainer from scratch:

Make a [45]-second motion-graphics explainer about [topic] for [audience]. Use Remotion on your computer, keep it to [3] key points, and send me the script and a storyboard before you render.

Blender model:

Here is a reference photo of [object]. Build an editable Blender model with materials and a simple animation of [moving part]. Send me four preview renders and a ZIP with the .blend file.

A real place in 3D:

Here are photos of [building or room] and its public floor plan: [files or links]. Build a Blender model at roughly the right scale, list which dimensions you estimated, and keep the interior simple. Render four stills from the entrance, above, and two corners so I can cut them into a short tour.

Generative video with your own tools:

Using my [ComfyUI / Higgsfield] setup, make a [20]-second clip of [idea]. Write the prompts yourself, tell me which settings you used, and if you need a workflow I don't have, build it and explain how it works.

From your own photos:

Here are [8] photos I took: [files]. Make a [20]-second vertical reel with captions but no music; I'll add the music myself. Show me the structure and caption text first, and make the layout different from the last video you made me.

From your own voice and drawings, kept private:

Here is my recorded audio: [file]. Use only [0:03–0:21] from take 1 and the laugh at [0:12] from take 2. Make [5] stills, background music, a title and a thumbnail, then upload it to my YouTube as private and send me the link. If you change a drawing and it looks worse, show me both versions.

Before a longer video, and before it goes public:

Before you start, tell me how big my video file is and whether you can open it from chat. If you can't, read it from [folder on my connected computer / Drive folder] instead. Do a short test upload as unlisted first, tell me if any login or connection will expire, and list any voice, music or software licences I should check before we publish.

A 3D model from a screenshot (from case 36):

Here is a screenshot of [character / outfit]. Research every visible item, then build a 3D model of the full outfit on your computer. Show me the render before you export any files.

Chapters only after it can play the video (from case 38):

Open this YouTube URL and confirm you can play it or read the transcript, then draft a description and chapter list. If the player fails, stop and ask me for the transcript, and don't copy chapters from the published page.

From a song to a music video with your own photos:

Write me a song about [memory or theme] in Suno and make two versions. I'll pick one, then send you [5–8] photos of my own. Build a music video for the full song, render it on [my connected Mac / your computer], and show me the work order you give Codex before you start.

A first cut you finish in your own editor:

The footage is in this Drive folder: [link]. In my connected [editor], make a fast [30]-second cut for [platform]. Leave it on the timeline so I can take over, list any shots you generated, and don't export or publish anything.

A first draft with the music kept separate (from case 43):

Here are my clips: [files or folder]. Make a first draft of about [2] minutes with the repeated shots cut. Put any background music on its own track, tell me the terms of each track you use, including any credit it needs on screen and where that credit would appear, and keep every draft so I can go back to the first one and finish it myself.

Related

• Use cases hub · Cloud computer · Voice calls · Content pipeline
• Build apps, websites & games · Dots + Google Drive · How to get Dots · Dots in the EU and UK · Features · Not showing or not working · Getting started · Pricing and usage