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I made a Remotion animation editor using the this week's Fable

Reddit · kr4ckhe4d · July 19, 2026
A Remotion animation editor was created using Fable as the platform ends support for Pro users. The editor enables custom animations, keyframe adjustments, property animation, and 4K60P exports, with projects saved in JSON format that can incorporate AI-generated animations.

Detailed Analysis

A Reddit user in the r/ClaudeAI community has shared a personal project: a custom animation editor built on top of Remotion, a React-based framework for programmatically creating videos, developed in collaboration with "Fable," an AI tool reportedly being deprecated for Pro-tier subscribers this week. The tool allows users to add custom animations, define keyframes, animate arbitrary properties, and export finished renders at up to 4K resolution and 60 frames per second. According to the poster, the project stores its state as a large JSON file, meaning any capable AI model can generate custom animation data that then imports directly into the studio for rendering. The creator notes the tool still requires polish but expresses satisfaction with the results, accompanied by a demo video link.

The post is notable less for the specific tool itself and more for what it represents: an increasingly common pattern of hobbyists and developers using Claude and other AI coding assistants to rapidly prototype specialized creative software that would otherwise require significant engineering investment. Remotion has gained traction in the developer community as a way to build videos using code rather than traditional timeline-based editors, and pairing it with an AI-assisted interface layer lowers the barrier for non-experts to define complex motion graphics. By architecting the project around a JSON-based save format, the creator has effectively made the tool "AI-native"—any large language model, including Claude, can generate valid animation instructions without needing direct integration into the editor itself, since the JSON schema serves as a lingua franca between AI-generated content and the rendering engine.

This decoupling of AI generation from the execution environment reflects a broader architectural trend across AI-assisted software development: rather than embedding a single AI model tightly into an application, developers are increasingly designing tools around structured, model-agnostic data formats that any sufficiently capable AI can populate. This mirrors patterns seen in other domains, such as AI-generated game levels, configuration files, or design specifications, where the LLM acts as a content generator feeding into a separate, purpose-built rendering or execution system. It also underscores growing user reliance on multiple AI tools in tandem—here, the poster used "Fable" for initial creative generation and presumably Claude or another coding assistant to build the Remotion-based editor itself, then structured the workflow so that either tool (or replacements) could continue populating the JSON schema going forward.

The mention of Fable "going away" for Pro users also touches on a recurring theme in the AI tools ecosystem: the volatility of niche AI products and the risk users face when building workflows dependent on a single vendor's continued support. By exporting to an open, portable JSON format rather than a proprietary save state, the creator has hedged against this risk, ensuring the animation editor retains long-term utility even if Fable itself disappears. This kind of defensive design choice—favoring interoperability and portability over vendor lock-in—is becoming increasingly common practice among developers building on top of fast-moving, sometimes short-lived AI products, and it illustrates how the broader community is adapting to an environment where individual AI tools may be deprecated or restructured with little notice, even as the underlying capability for AI-assisted creative and technical work continues to expand.

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