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

For people who stop opening Muse the day after signing up: turn off model training, approve actions with 'just this once', give connectors read-only access first, then copy six scheduling and organizing prompts.

Someone has Grok Bot read athletes', clubs' and journalists' social posts around the clock while Jev ties each post to a specific match and scores its impact, forming a prediction market feed called SportHub.

A rundown of Grok's text, image, video and voice models plus Grok Bot agents, and how SuperGrok Heavy bundles them into a single subscription.

A Japanese user says Muse has reached first place in the US app rankings, and that its subscription cancellation feature is so popular it is joked to be sinking subscription companies' stock prices.

A user notices Grok Bot is being moved into the Grok chat app, including a quietly added voice mode for bots, and asks for an option to open the app directly to the bot list instead of a chat window.

The author uses Grok Bot to monitor 18 accounts, break down viral post structures and auto-draft posts, claiming it saves about 3 hours a day.

A video discussing the current state of and controversy around Meta Muse, arguing the product deserves a serious look.

A French post on Meta's Muse money-saving challenge, where an agent renegotiates car insurance to save $3,500 and finds forgotten subscriptions, and on how Web2 payment rails limit agent automation.

After a day of testing Meta Muse's cloud VM (2 cores, 7.7G RAM), the author sums up three uses—scheduled tasks, WhatsApp tasking and one-line mini tools—plus five pitfalls.

A rundown of five cloud computer offerings — Grok Bot, Meta Muse, Kimi Claw, ArkClaw and Tencent LightVela — comparing specs, storage, interaction and pricing.

Diogo Almeida's breakdown shows 20,000 agent decisions cost $0.84 on Jev, with only 4% escalating to Grok Bot for drafting, making the escalation rate the real driver of the bill.

The one-hour course covers prompting, verification, evals, cloud agents and agent teams, and the instructor says this approach led to 800+ PRs merged in a month.