From October 12 to 16, log in to AutoClaw to claim up to 132 Million GLM-5.3-Flash Tokens. Paid members can also unlock an additional daily reward based on their active membership tier.
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Built on GLM-5.3-Flash, GLM-Legal matches frontier models on mainstream legal benchmarks.Designed for real legal workflows: contract review, evidence analysis, compliance, and more.
Picking a desktop AI agent comes down to three ways of working: install something ready-made (AutoClaw), work in the cloud through a browser (Manus), or build and run the open-source OpenClaw framework yourself. None of the three is simply better — it depends on what data you handle, what kind of work you do, and how much upkeep you're willing to own. This article runs all three through six dimensions of comparison, including one most reviews skip: who actually builds the model underneath. A 30-
GLM-5.3-Flash is our first natively multimodal model in the GLM-5 family. With 320B total parameters and only 18B active parameters, it delivers strong performance across complex tasks, agentic workflows, visual understanding, and professional work.
AutoClaw offers two modes. Standard Mode answers quick questions instantly. Cluster Mode handles complex work by splitting tasks into steps and assigning specialist roles.
Cluster Mode excels at research, document synthesis, data analysis, event planning, and content production. It turns scattered inputs into polished reports and verified deliverables.Speed for simple queries. A dedicated team for serious work.
Auto Design is AutoClaw's AI design agent that turns ideas into editable visuals. Chat to define requirements, then watch the canvas generate results. Refine via chat, comments, or direct canvas edits. Preview across devices and export to HTML, PDF, PPTX, and more. Built for PMs, developers, and marketers—not just designers.
AutoClaw V1.9.0 introduces GLM-5.2 with a 1M-token context window and Auto Design, a full-workflow design agent that turns complex PRDs into complete app and web interface designs.
AutoClaw Team
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