Follow new capabilities, tutorials, field reports and reviews. Learn what assistants can do, how to use them and where their limits lie.
The official workflow divides research, positioning, website work and campaign preparation across bots, passing results into documents, ad drafts and PRs. The author retains judgement and review. Treat it as a team-specific example rather than a promise of unsupervised marketing.
An xAI engineer describes specialist bots coordinating cloud coding agents, reviewing transcripts, screenshots and PR evidence, then sending feedback. This is the product team's own experience, useful as a workflow example rather than a general productivity benchmark.
The official tutorial groups release tracking, bug reproduction, churn analysis, refunds and reporting into recurring routines. Refund decisions retain human approval. Its numbers are illustrative, not results from an independent effectiveness study.
Templates share a bot's blueprint rather than its running instance. The tutorial explains packaging instructions, relevant memories, skills and plugins, with team or public sharing choices. Review the included contents before publishing.
Meta describes Muse as an assistant running in a separate cloud virtual machine, accepting tasks through its app and WhatsApp. Sending emails and purchases require confirmation, and users can manage connected permissions. The launch begins in the US; these are official claims, not our own runtime tests.
Saurabh Das describes a Raspberry Pi agent connected to Telegram and cloud models for market, weather, astronomy and chess alerts. He reports easier maintenance and lower token overhead after moving from OpenClaw, without reproducible comparative measurements. Treat this as personal experience.
The official launch describes Bots that use cloud computers, sign in to tools and retain working context. Multiple Bots can coordinate tasks, with approvals where needed. This is a summary of the announcement, not an independent test of continuous operation.
After months with OpenClaw, Joseph Fluckiger compares Hermes for personal operations and visible tooling with OpenClaw's specialist roles and channel organisation. He retains both for different tasks. This is a dated, configuration-specific assessment rather than a universal performance ranking.