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

The X Subscription has five tiers, with Premium at $30/month combining SuperGrok, Cursor Pro and X Premium+ previously priced at $90, though Claude and GPT inside Cursor are billed separately at API rates.

Since Grok Bot only shows one account-wide usage percentage, Meter estimates each bot's share through daily rankings, threshold alerts and a Sunday rollup, though the numbers are proxy estimates with no native per-bot metering.

A developer who liked the Grok Bot mobile experience open-sourced a DS Bot mobile app that lets users chat, create group chats and approve requests from their phones.

The author wonders how AI companies use AI personal assistants internally, saying that in their experience apps like Instinct and Grok Bot remain close to useless outside those companies.

The author built a Grok Bot video editing agent that takes direction like a real editor, handling only the timeline work rather than producing a finished video in one shot.

The author shows the assistant team they built with Grok Bot: a main routing bot, a fact-checking research chief, a daily XRP chart analyst and a newsletter agent, which they say saves hours every day.

The author built 7 product assistants with Grok Bot and shares eight practical lessons, including shared skills, shared context files, a single lead, and asking before acting.

A video post claims a Grok Bot made 278 trades in 24 hours with 232 in profit, a 156x return, and the claim is unverified.

A user shares that they subscribed to the $30 xAI plan, calling Grok Bot the strongest personal agent and wishing they had known about it sooner.

A user says they let Grok Bot do all their work while they watch movies and pursue other projects, and recommends everyone try it.

An analysis argues Amazon blocks Meta's Muse to protect its $68.6 billion ad business, while Shopify welcomes it because it earns payment fees, and shopping agents could favor independent brands.

A research note examines Meta's new Muse Wonder and Wonder Full models: 1M context, multimodal inputs, API pricing, and how personal assistants expand Meta's opportunity while adding compute pressure.