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What AI Does Gossip Goblin Use? Inside The Patchwright Workflow

The documented tools behind Gossip Goblin's short film, what each one did, and what is still unknown about his first theatrical feature.

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Original conceptual portrait of a fictional cyborg performer, with a sketch at the edge and a tiny Choosely Chimp in a gritty science-fiction corridor.

Gossip Goblin used Midjourney, Nano Banana, Kling and Sync on The Patchwright. Midjourney developed the visuals, Nano Banana edited images and placed characters, Kling animated the shots, and Sync handled some lip sync.

That is the clearest documented answer to “What AI does Gossip Goblin use?” It comes from creator Zack London’s interview in PJ Ace’s filmmaking newsletter, published May 13, 2026.

The question now has a timely follow-up. With Gossip Goblin’s first theatrical feature, Gods Don’t Give Gifts, approaching release, which parts of that earlier workflow carry over? Choosely has not verified a complete production tool list for the feature. The short film gives us a specific, sourced case study.

Gossip Goblin’s AI tools at a glance

ToolDocumented role on The Patchwright
MidjourneyInitial visual development and location exploration. London preferred version 7.
Nano BananaImage editing, character placement and additional frames.
KlingAll animation, generated shot by shot.
SyncLip sync for some speaking shots.

Source: London’s May 2026 interview with PJ Ace. The account does not identify a Kling version or a more specific Nano Banana model label.

Scope matters: these are credits for one production. They are not a verified list of every tool Gossip Goblin uses today.

Who is Gossip Goblin?

Gossip Goblin is the studio founded by Zack London, known for original science-fiction and fantasy worlds. Its official website describes serialized stories and says they are imagined, written and directed by humans.

That makes “which AI?” only the starting question. A recognizable fictional world also needs recurring characters, a visual language, performances and decisions about what the audience sees next. A tool list tells you where some of the images and motion came from; it cannot account for every creative choice.

How the tools fit together

The useful distinction in the documented stack is between creating an image, revising it and making it move. Those jobs went to different tools.

London used mood boards and profile codes to guide Midjourney’s look, then worked on character placement in Nano Banana. Kling supplied the motion. Sync addressed lip sync on selected dialogue shots.

For another filmmaker, the practical lesson is to make each stage answer a different question:

  • Visual development: does this setting belong in the world of the story?
  • Image editing: are the character, framing and essential details right?
  • Animation: does the movement serve the shot?
  • Dialogue: does the visible performance fit the recorded line?

Separating those decisions gives you clearer reasons to accept or reject an output. A beautiful background does not rescue the wrong character. Convincing motion does not fix a shot that fails to tell the story.

If you are testing a similar approach, start with one short scene. Choose a setting, a recurring character and a line of dialogue. Judge continuity across the finished sequence before committing to a larger production. This is Choosely’s suggested evaluation method, rather than a claim about London’s exact testing process.

Does Gossip Goblin use AI voices?

For The Patchwright, London said every discernible spoken line came from a human voice actor. Composers scored key sections, although some AI music was also used.

That distinction changes how a creator should read the stack. Lip-sync software and voice generation are different functions. Seeing Sync in the workflow does not mean it created the voice, and AI-generated visuals do not establish that the soundtrack was generated too.

If dialogue is central to your own film, decide how it will be performed early. Casting, recording and directing a line are creative commitments that a list of image and video models will not settle.

What AI was used for Gods Don’t Give Gifts?

Choosely has not verified the feature’s complete AI tool list. We therefore cannot present the four tools above as confirmed production credits for Gods Don’t Give Gifts.

Forbes reported on October 6 that the feature, made with Fable, was scheduled for a limited US theatrical release on December 4, 2026. Its official trailer was released that week.

Earlier Forbes reporting described human voice actors, musicians and Foley work on the production. Those details support a mixed production process, but do not identify the feature’s full software stack.

Watch the official Gods Don’t Give Gifts trailer →

Should you use the same AI tools?

Treat this stack as a way to organize a test. Four subscriptions alone will not tell you whether the tools fit your story, your budget or the amount of revision you can manage.

Set a few acceptance criteria before generating: the character stays recognizable, the movement is intentional, the shot cuts cleanly into the next one, and the dialogue looks credible. Then record which tool solves which problem and how many attempts each usable result requires.

That gives you something more useful than a famous creator’s shopping list: evidence about your own production. For help choosing the motion stage, see our AI video generator guide. Our documented workflows for Kavan the Kid and Promptgenix offer other creator-specific comparisons.

Choosely verdict

For The Patchwright, the documented answer is Midjourney, Nano Banana, Kling and Sync, with human voice performances. Its useful lesson is the division of work: develop the image, refine it, animate it and solve dialogue where needed.

Use that structure to test a scene of your own. Keep the feature-film question open until its production tools can be verified.

Build a stack you can keep track of. Use Choosely Stack Intelligence to follow meaningful changes to the tools in your workflow.

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