plan， elevating output from "usable" to "deliverable": DimensionNormal ModeCluster Mode How it works Jumps in based on judgment Creates a plan first， You've surely had this experience: you ask an AI to analyze a financial report， and dispatch sub-agents. Cluster Mode adds five mandatory actions on top。
" it enforces a strict SOP—understand the task，" but its own valuation table shows "upside of 10–30%." Self-contradictory. No auditing， investment-grade Deck Core philosophy: Simple tasks it handles solo; complex ones it assembles a team —like a small squad that adapts its formation to the mission. Four Things You'll Directly Feel ， and deliver to spec—locking down every step: what to do and what standard to meet before moving forward. Turning AI from "giving answers on instinct" to "delivering results by process." What Do You Get When You Turn It On? Normal mode is already an assistant that can search， research， and it gives you a 700-word conclusion—the title says "neutral to expensive， institutional-grade DOCX， no idea where the numbers come from. This isn't because the AI isn't smart enough—it's because it lacks a method for getting things done . That's exactly where AutoClaw's Cluster Mode comes in: instead of relying on the model to "figure it out on its own， use tools， dispatch parallel work， audit and verify， lists every step before acting Where facts come from May rely on the model's existing knowledge Key facts are mandatorily verified online Who does the work Default: main thread; only pulls in help for very complex tasks Defaults to parallel dispatch when dimensions can be split Review mechanism Submits as soon as done Self-audits before submitting when conclusions/code/actionable advice are involved Final deliverable A block of text or Markdown Roadshow-grade HTML，。