AI Personal Assistants: Muse, Grok Bot, Cue Usage & Comparisons

The post says AACP uses Grok Bot skills to turn chatbots into economic agents that take orders, execute and settle, with funds held in contract escrow and released on zkVM/TEE proof.

The author looks at eight always-on cloud agents, including Grok Bot, Gemini Spark and Meta Muse Agent, to reason about HBM and NAND demand and frames it as an investment case for Kioxia.

Sacks says Meta Muse and Grok Bot are taking the OpenClaw concept and fixing its usability and security issues, and that wide adoption of personal AI agents could improve public sentiment about AI.

The post offers a prompt with rules for Grok Bot: keep service cheat sheets, pick the lightest route first, read before changing, log failures, avoid guessing and score efficiency weekly.

A user says their Meta Muse agent has accumulated so much context, reminders and ongoing projects that leaving would be extremely painful, calling it a deep moat with high switching costs that SMBs will like.

A Spanish-language post says Grok wrote the trading system and Jev scores each wallet move to decide whether to copy, wait or skip, turning $45 into $1,900 in 29 hours.

The author summarizes Zuckerberg on Muse: you assign tasks rather than ask questions, it runs on a real VM around the clock, reviews its work at night, and covers his own uses like baking orders, gym footage feedback and grabbing hiking permits, plus the business model.

Jev first asks five bounded questions to route work, and only calls Grok Bot when generated text is actually needed, avoiding a full model call for every event.

From giving the model a persistent computer and splitting Bots by department to coordinating them with a Chief of Staff and turning prompts into infrastructure, the post lays out the architecture of xAI's in-house Grok Bot.

The author uses Tailscale to network Muse, Grok Bot and a VPS running Hermes Agent, so Muse can read private data on the VPS and Grok can call its compute over internal IPs.

Multiple Grok Bots can share files and active sign-ins on one cloud computer, so the author lists five separation steps: shared-session audit, data boundaries, workspace mapping, deliberate handoffs and clean shutdown.

When running five Grok Bots, memory does not merge between them, so the author suggests writing the rules into one folder under /workspace and telling every Bot to read it first.