Workforce architecture for AI-era teams. Frameworks, not opinions.
Foundational frameworks for designing AI-augmented teams. The five-dimension scoring model, role clarity, and leverage-first hiring.
Stage-specific hiring playbooks for seed through Series C. Compensation benchmarks, interview signals, and the equity trap.
How AI-first companies structure teams differently. Org charts, workflow architecture, and the shift from headcount to leverage.
What to do with your hiring plan after raising. Management layers, exec hires, and scaling without losing velocity.
The new org building block: individual contributors who use AI to operate at the output of a 3-5 person team.
The decision framework for every role. When to hire full-time, when to automate, and when a super IC is the answer.
A framework for deciding your highest-leverage hire when AI changes what every role can accomplish.