Framework
Systems Over Goals for AI Adoption
Lava's internal playbook for spreading AI capability across the team without mandates, deadlines, or adoption goals. Instead of telling people to use AI more, the system creates a weekly loop: experiment freely, share wins and learnings, bake the best discoveries into shared defaults. The knowledge compounds organizationally rather than living in individual workflows.
How it works
- 1Goals for AI adoption create compliance theater — people log usage without changing how they actually work
- 2Systems create ambient learning: teammates experiment freely, with no pressure to adopt anything specific
- 3Weekly sharing loops surface what is actually working and move it from individual insight to team default
- 4Learnings get operationalized as default files, memory blocks, and shared context — not documentation to be ignored
- 5The organizational benefit compounds: each week's best practices become next week's baseline
- 6System design question: 'What structure makes the best AI practices the path of least resistance for everyone?'
Hear it on the podcast
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