During a morning meeting, Grok Bot provided updates on tasks, allowing for focused discussions on complex issues. In the afternoon, efforts shifted to improving overall systems while addressing routine tasks and exploring automation possibilities.
added by @ntaoo
朝会で Grok Bot に各タスクの状況を説明してもらって指示を飛ばしたら、午前中は難しいタスクを Claude と会話して集中して進め、午後は Grok Bot と全体の仕組みの改善にじっくり取り組みながら AI にまだ任せられない雑務を片付けつつ、それをどうすれば自動化できるか考える https://t.co/R2j9fizyvF
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Grok Bot features a shared dictation mistake ledger managed by the chief of staff. The Dictation Corrector agent works alongside it to address errors efficiently.
view details →Utilize Fable 5.1 Oracle for planning, then hand off to Engineer bot for implementation using Grok 4.6. A second Grok 4.6 agent conducts a review, all built with Dr Eggbot.
view details →Connect Grok and Cursor to GitHub to streamline app development. Use Grok Bot to manage commands and review builds efficiently.
view details →Grok bot identifies problems and reports them to the conductor, handling feedback and corrections autonomously. This automation reduces the need for human intervention in troubleshooting and fixes.
view details →The user highlights the benefits of using an AI-native team with a chief of staff and a defined ticketing system, allowing for enhanced token visibility without additional costs.
view details →The heavy Grok Bot work has been moved into Cursor, maintaining seats for supervision, votes, and final calls. Python and Task Scheduler are utilized for handling GET/file jobs.
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