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LongCat-2.5-Preview is introduced as a long-context, multimodal AI model designed for complex, multi-step work. The video highlights its 1 million-token context window, 1.6T total parameters with ~48B active, image understanding, coding capabilities, extended reasoning, and agentic workflows. It then demonstrates four business workflows: content-gap research, landing-page analysis, member onboarding, and competitor research—showing how large amounts of business data can be processed together and turned into actionable outputs.
Timestamps
0:00 — LongCat-2.5-Preview: What’s New
0:15 — 1.6T Parameters & 1M Token Context
0:40 — Why the 1M Context Window Matters
1:20 — LongCat vs. Traditional AI Workflows
1:29 — How the Mixture-of-Experts Architecture Works
1:58 — Multimodal Image Understanding
2:20 — LongCat’s Coding & Programming Capabilities
2:36 — OpenCode, Claude Code, Hermes & OpenClaw Support
2:43 — Extended Thinking Mode
2:51 — Long-Horizon & Agentic Workflows
3:20 — Building Long-Context AI Workflows
3:59 — Real Business Workflows With LongCat
4:08 — Workflow #1: Content Gap Research
4:18 — Finding Unanswered Customer Questions
4:40 — Workflow #2: Landing Page Analysis
4:49 — Analyze Screenshots & Improve Conversions
5:21 — Workflow #3: Automated Member Onboarding
5:39 — Building a 7-Day Onboarding Sequence
5:55 — Workflow #4: AI Community Competitor Research
6:15 — Analyze Competitors & Find Positioning Gaps
6:38 — Why 1M Context + Multimodal AI Matters
6:54 — The Future of AI Business Workflows
7:03 — Build LongCat Workflows for Your Business
7:17 — Automating Content, Research & Community Growth
7:25 — New LongCat Features & Tutorials
7:33 — Coaching, Roadmap & Prompt Library
7:49 — LongCat-2.5-Preview Is Live

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