The official account used five “generated with only one prompt” creative projects (a voxel pagoda, 3D planet, CG animation, cinematic landing page, and mini-game) to demonstrate the upper range of LongCat-2.0's agentic coding. They can serve as references for task boundaries and results, but the original prompts are inside the videos and cannot be copied directly.
Suitable tasks: Assess LongCat-2.0's capability boundaries on creative coding tasks (voxel/3D/animation/web/game); observe the officially claimed “one prompt to playable output” workflow
Unsuitable tasks: Treating it as a directly reusable prompt library (the official account did not publish text versions of the prompts; only video demos are available)
Applicable model version: LongCat-2.0
Applicable client, agent, or API: The demos ran on the LongCat website/API (the official post also includes the API entry point https://longcat.ai/platform/product)
Recommended reasoning level and parameters: Not disclosed (the official account did not specify a reasoning level)
Since launching LongCat-2.0, we've been continuously using it for development. Here are five creative projects, each gen… This is a necessary excerpt; read the original source for full context.
The official descriptions of the five projects are given above (translated into English; the originals were in English); the main post and five child posts belong to the same thread (child post IDs: 2084646942647468489 / 2084646947072454797 / 2084646952147521546 / 2084646955830153599 / 2084646959483404468).
The demo videos redirect through t.co to longcat.ai/platform/product (login required, with a passport.mykeeta.com login wall). The prompts are embedded in the videos and could not be extracted during this collection, so the collection is marked “Partially visible.”
Related evidence: the r/opencodeCLI user's one-shot Ubuntu desktop case (prompt directory 08) shows that “one prompt → playable output” can be reproduced in the community; @atomic_chat_hq's Duck Hunt comparison (review directory 09) shows LongCat's output quality to be close to GPT-5.5 under the same one-prompt workflow.
The prompt text is not public: do not reconstruct a “full prompt” from the video description; treat this only as an official capability showcase.
The official demos are promotional material, and no failed intermediate process was observed; how difficult they are to reproduce depends on the model's reasoning level and client settings.
These projects are creative and visual programming examples, and do not represent LongCat-2.0's performance on engineering coding (repository-level changes, test fixes); see the review directory for engineering evidence.
LongCat 2.0
