Tabbit
ResourcesBlogModels
Tabbit LogoTabbit

Tabbit — The AI Browser that Works for You

Topics

  • AI Browser Resources
  • Agentic Browser Resources
  • Browser Downloads and Install Guides
  • Browser Comparisons
  • AI Browser Alternatives
  • Browser Productivity Resources

Popular Guides

  • AI Browser
  • Agentic Browser Download
  • Best AI Browser 2026: Top 9 Tested & Ranked
  • AI Browser Download
  • Free AI Browser
  • Best AI Browser 2026
  • AI Browser Comparison 2026
  • AI Browser for Windows
  • AI Browser for Mac
  • Chrome Alternative 2026

Events

  • Tabbit Skill Competition
  • KPOP SBTI Fandom Personality Test
  • Tabbit Campus Creator Program
  • fifi's Picks: AI Skills for Research Papers
  • User Survey

About

  • Tabbit Blog
  • Press & Media
English
简体中文English
Prompts and workflows

LongCat 2.0 · workflow

Official Account Showcase: Five “One-Prompt Generation” Creative Projects (Voxel/3D/CG/Landing Page/Mini-game)

Source “Official Account Showcase: Five “One-Prompt Generation” Creative Projects (Voxel/3D/CG/Landing Page/Mini-game)” is organized as an executable task guide; its environment, inputs, and acceptance boundary follow the source.

Source not verifiedConfigure the client, tools, and inputs described by the source.

Prerequisites and inputs

  • Task goal and source material
  • Client or API
  • Output format and acceptance checks

One-sentence takeaway

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.

Use cases

  • 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)

Case content (official original text)

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.

Raw data and verification notes

  • 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.

Applicability boundaries

  • 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.

Source and dates

X (Twitter) · Source date: 2026-08-04 · Edited: 2026-09-20

Read the original source
Variable checklist

No required variables

Related prompts

LongCat-2.0 API Platform Quick Start (Official Quick Start + Chat Completions Reference + Pricing)LongCat-2.0 Chat Template and Tool-Calling Configuration (Official Hugging Face Model Card)Claude Code Integration with LongCat-2.0 (Official Documentation)r/opencodeCLI Case: Generating an Ubuntu Desktop in the Browser with One Prompt (Complete Prompt + Reproducible Output)

Related reviews

OpenRouter Channel Data: LongCat-2.0 Pricing, Measured Performance, and Third-Party Benchmarks (Artificial Analysis)LongCat-2.0 Official Model Card: Specifications and Official Benchmarks (Including Comparison Tables with Gemini/GPT-5.5/Claude Opus)LongCat-2.0 Official Technical Blog: Architecture, Training on Domestic Compute, and Inference Deployment (Release Notes)eesel Independent Review: LongCat-2.0's Agent Reliability and Hard Blockers to Production Deployment

Read the full analysis

Overview · English

LongCat 2.0: what changed, where to use it, and what the price misses

LongCat 2.0 combines 1M context, open weights, and low provider pricing with real questions about tooling, data terms, and operational cost.

LongCat 2.0

Use LongCat 2.0 in Tabbit

Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.