AI Tools Summary | Coconote

Summary

The meeting provided an in-depth review of three newly released Chinese AI agents: Miniax M1, SeaDance 1.0 (BiteDance), and Kimmy Dev 72B (Moonshot AI), each offering free and highly competitive solutions for website building, code debugging, and video generation.
Attendees discussed real-world use cases, technical performance, and significant advantages over Western competitors, including cost, speed, and functionality.
The importance of early adoption for business advantage was emphasized, and further engagement through the AI Success Lab and community resources was promoted.
Live coaching, prompt libraries, and automation services were highlighted as support options for ongoing implementation.

Ongoing – Community Manager: Promote user engagement in the AI Success Lab and boardroom, sharing new trainings and resources daily.
Ongoing – Technical Lead: Test and document practical business use cases for Miniax M1, SeaDance 1.0, and Kimmy Dev 72B, reporting successes and limitations weekly.
Ongoing – Content Creator: Prepare and distribute prompt libraries and workflow templates based on meeting demonstrations.
Ongoing – Support Team: Offer live coaching call support and ensure recordings are made available to all members.
Ongoing – Sales/Outreach: Schedule and conduct free AI strategy sessions for interested community members.

Miniax M1 is an open-source, Shanghai-based AI model capable of building complex web applications (e.g., Netflix clones) and generating up to 80,000 tokens per response, with a 1 million token context window.
The model offers commercial use without cost, high efficiency in computation (activating only necessary parameters), and rapid response times.
Use cases included building interactive apps (e.g., Tom Riddle’s diary, Pokédex, business dashboards) and custom landing pages after real-time web research.
Available via web interface (minimax.io) and API at significantly lower costs than competitors; source code is available on GitHub and HuggingFace, with deployment guides included.
The platform supports online search, multimodal outputs (text, video, images, speech), and is benchmarked competitively against industry leaders.

BiteDance’s SeaDance 1.0 generates 1080p Hollywood-quality videos from text or images in under a minute, outperforming Google’s V3, Runway Gen 4, and OpenAI Sora on industry benchmarks.
Supports multi-shot, multi-scene video generation with smooth transitions and realistic motion/lighting; includes a multi-dimensional reward system for accuracy and video quality.
The tool addresses previous industry challenges of unnatural motion and poor prompt following, effectively combining visual quality with exact user instructions.
Anticipated to disrupt traditional video production and marketing content workflows due to speed, ease of use, and free access.

Kimmy Dev 72B surpasses previous state-of-the-art open models for code fixing, achieving 60.4% on SWE Bench Verified, surpassing both free and most paid models.
Employs a two-brain architecture (bug fixer and test writer) to identify/fix bugs and generate validation tests, ensuring clean and production-ready code.
Runs locally to guarantee privacy and intellectual property security, using reinforcement learning from real-world repositories and developer conversations.
Successfully reduces development costs and increases productivity by quickly resolving complex bugs without subscriptions or data privacy concerns.

The AI Success Lab offers access to prompt libraries, workflow templates, and live support via three weekly coaching calls (with recordings available).
The AI Profit Boardroom provides personal access to the community lead (Julian Goldie), request threads for custom automations, and a space for business-focused discussions.
Ongoing expansion of training content and active community engagement are encouraged.

Prioritize early adoption and integration of Miniax M1, SeaDance 1.0, and Kimmy Dev 72B into business workflows — to gain a competitive advantage as these tools are currently free, outperform Western alternatives, and offer significant productivity/cost benefits.

What additional successful case studies will emerge from community members using these models in varied industries?
Are there any potential limitations or licensing considerations for high-scale commercial deployments that need further review?
How will Western AI tool providers respond in terms of pricing and capabilities?