Eggnog
Eggnog (Sam Plank and Jitesh Maiyuran) · Video
Eggnog is an AI video platform for making short animated clips whose characters stay recognizable from scene to scene, then posting them to a feed others can remix.
About Eggnog
What Is Eggnog
Eggnog is an AI video generator built around a single complaint: characters in AI clips change face, hair and outfit every time you press generate. The team behind it, Sam Plank and Jitesh Maiyuran, went through Y Combinator's winter 2024 batch with that fix as the pitch. The site also wants to be a place to watch, not only a place to render: videos go up on a public feed, and other users can pull your characters into their own scenes.
The trick is character training. Eggnog works as an AI character creator first and a render engine second: you hand it a set of images of one character, and the platform teaches the model that character as a reusable concept. The founders describe the stack as open-source diffusion models plus post-processing, and they put per-clip accuracy at roughly 80% in their public launch thread. Treat that number as an estimate from the people selling the product, and expect to re-roll a few takes before one lands.
That number shapes what Eggnog is good for. It's a fast way to draft a cartoon scene with a recurring lead, not a replacement for a studio pipeline. Clips are short, everything runs in a browser tab, and heavy output costs credits. There's no public API, so teams that want automated rendering need to look elsewhere.
Getting Started
- Open eggnog.ai and create a free account with email or a Google login.
- Build a character. Upload reference images or describe the face and outfit you want, then name the character so you can call it later.
- Set the scene. Pick or describe a set, drop the character in, and write a prompt for the action and camera angle.
- Generate takes, keep the ones that hold together, and publish the finished clip to the feed or download it for editing elsewhere.
Product Information
A quick look at Eggnog's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Short-form creators who post a clip a week and need a lead character that survives the cut, since re-training a face from scratch every episode is the slow part.
- Hobbyist storytellers with a script and no animation skills, because the scene builder takes plain prompts instead of keyframes.
- Freelancers pitching a concept to a client, where a rough animated preview in an afternoon beats a slide deck.
- Teachers and trainers who want a friendly mascot to carry a series of explainer clips.
Tasks
- Building a recurring character for a series, where the same face has to read as the same person in every shot.
- Turning a paragraph of script into a rough animated storyboard before spending money on production.
- Making shareable clips for social feeds, since the platform publishes straight to a public page.
- Remixing someone else's character or set to skip the design work when the look already fits.
Scenarios
- You have a running joke and want it as a ten-second cartoon with the same character you used last time.
- You're sketching a longer story and need a character sheet you can reuse across scenes and episodes.
- You're comparing AI video tools for a work project and want to test character consistency without a subscription.
Key features
Character Training That Holds a Face
You build a character once, from a handful of reference images or a written description, and Eggnog keeps it as a reusable asset. Every later scene calls that character instead of asking the model to invent a face again. This is the feature the whole product rests on, and the reason an animated video maker built here feels different from prompt-only tools.
Scenes Built From Reusable Sets
The editor works like a small stage. You choose a background or describe one, place the character, then write what happens and where the camera sits. Sets can be saved and reused, so a series keeps the same kitchen, street or spaceship across episodes without re-describing it each time.
A Remix Library From Other Creators
You can remix AI videos, characters and sets from other users, pulling any public asset into your own project. That cuts the hardest part of AI animation, which is designing something that looks the same twice. The library is also the social layer: a popular character shows up in clips by several different users, and each of them can be traced back to the original.
Prompt-Driven Motion and Camera
Movement, framing and pacing come from written prompts rather than a timeline of keyframes. You describe the shot and let the model interpret it. It's faster to learn than a traditional editor and far less precise, so close-up action and quick cuts need more attempts than a slow, wide shot.
Publishing Inside the Platform
Finished clips post to the Eggnog feed, where viewers watch and react and other creators can remix. That closes the loop between making and distributing, which most AI animation tools leave to you. Downloading a file for use elsewhere is also supported.
A Credit Meter With a Free Tier
Generation runs on credits. A free account gets enough to try the workflow and publish something small, and paid plans top the meter back up. Because a usable clip often takes several tries, the meter moves faster than the clip count suggests. Check current rates on the official site before you commit to a plan.
Pros and cons
Pros
- Character consistency is the design goal, not an add-on, so recurring leads hold together better than in prompt-only AI video generators.
- A free tier lets you test the workflow on a real idea before paying anything.
- The remix library removes hours of character and set design when an existing look fits.
- Everything runs in a browser tab, with no GPU, no install and no render queue on your own machine.
- Publishing sits inside the same app, so a finished clip is shareable without exporting and re-uploading.
Cons
- Consistency is good, not guaranteed. The founders put it near 80%, so expect repeated takes and some shots that never come out right.
- Credits burn quickly because each usable clip usually hides several failed attempts, which makes cost per finished video hard to predict.
- It's web only. There's no mobile app and no public API, so automated or app-based workflows can't use it.
- The editor is thin next to real video software: no timeline scrubbing, no multi-track audio, no color grading. Anything ambitious has to be finished somewhere else.
Frequently asked questions
It makes short AI-generated videos with a character that stays the same across scenes. Most people use it for cartoon-style clips, series with a recurring lead, and quick visual drafts of a story idea.
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