Grok Bot engineer shares an agent automation recipe
Grok Bot engineer Lauren Tan shares an agent recipe using a skill-to-automation prompt to turn manual corrections into verified, repeatable execution, plus automation gates and audit tips.
yo, this is f***ing wild Grok Bot engineer Lauren Tan revealed her agent formula: open Grok Bot and use skill-to-automation.prompt to move from manual corrections to verified, repeatable execution Paste the operating contract: role: one bounded responsibility outputs: artifact + checks + blockers verify: observable acceptance criteria escalate_on: - missing_access - unclear_scope → keep preferences + skills persistent → keep evidence + progress local to the task Test the revision against the current skill: current_skill vs revised_skill same tasks, model and environment record outcomes / failed_checks / human_corrections keep the update only if observed execution improves The automation gate: repeated_success + clear_trigger > define allowed actions and stop conditions before scheduling > audit polling frequency and duplicate jobs missing access or unclear scope keeps the task supervised Bookmark this to give your agents a clear path to autonomy
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