This AI Playbook Made Me a Better Manager | CFC 293

Treat AI training like employee training: provide ample context, clear expectations, and structured feedback to maximize output and avoid premature judgment.

Implement the 'Five Pillars' for both AI and employees: define persistence (memory/focus), identity (role/values), provide tools, grant appropriate autonomy, and ensure accountability.

Develop clear 'soul' and 'identity' documents for roles, outlining company values, expected behaviors, and critically, 'what not to do,' to guide employee conduct and decision-making.

Structure knowledge management within your company like AI's memory files: establish basic operating principles, encourage daily reflections/notes, and maintain a centralized knowledge graph (company wiki).

Utilize a 'trust ladder' for employees, gradually increasing access and autonomy based on proven performance, rather than starting with full access and potentially needing to revoke it.

Establish clear communication 'rhythms' and 'loop-closing' practices: define communication channels, proactively update on tasks, and train employees to provide thorough progress reports to minimize open loops and owner oversight.

Leverage AI to identify and solve specific business 'pains': instead of broadly exploring AI, use it to address concrete problems like employee attendance or financial optimization by providing detailed context and specific questions.