Key Takeaways

• AI works best as an exoskeleton. Max frames AI as a tool that gives people new strengths. Keep the same staff count and aim for 1.5x the output and the quality, with a coach and mentor at every person's fingertips.

  
  

• Rehearse the hard conversations. Max uses ChatGPT to check his written responses and run practice sessions before high-stakes client meetings and coaching one-on-ones, so his live thinking matches his best asynchronous thinking.

  
  

• Ask the AI to explain itself and critique you. Have it tell you why it made each change and build critique into your base instructions. The feedback loop turns every edit into a lesson and makes critique feel normal.

  
  

• Don't let AI become a crutch. When team members shipped AI-generated work they couldn't explain, it broke down. If AI produces something you don't understand, have it teach you.

  
  

• Overexplain your context. Rich, detailed prompts produce grounded output. Sparse, vague prompts can produce answers disconnected from reality.

  
  

• Specific feedback is the feedback that sticks. "Great job" means little. Name what happened and why it mattered, and people know what to repeat. For negative feedback: actionable, specific, and kind.

  
  

• Leaders model behavior whether they intend to or not. In any group setting, people are watching. Specific, thoughtful communication raises the EQ of the whole room, including the boardroom.

  
  

• Contractors work best when they stay long enough to connect. In a complex, legacy ecosystem, short one-off contracts turned in-house engineers into quality gates. Staff augmentation of three to six months or longer lets contractors become independently productive.

  
  

• Time zone proximity builds trust. Nearshore engineers working in overlapping daylight hours make it easier to connect as people and handle difficult conversations at the right time.