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Strategy3 steps

Code Quality Doesn't Equal Product Success

Solve the real problem for real users; architecture and code quality are nearly orthogonal to success

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Leadership4 steps

Conway's Law Reorg: Go Functional Before You Go AI

Restructure engineering into one functional org before expecting company-wide AI or technical depth

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Leadership4 steps

Drive AI Adoption By Using It Yourself On A Real Problem

Executives using the tool daily on their own real problems beats any top-down mandate or think-piece

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Productivity3 steps

Give It Your Hardest Task

Evaluate a serious AI tool on your gnarliest real problem, not a dumbed-down toy.

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Communication3 steps

Kind and Candid

Reframe candor as an act of kindness so you actually deliver the hard message.

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Innovation4 steps

Live in the Future, But Not Too Far

Hold the far-future vision, but land with users where they already work today.

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Innovation4 steps

Mixed-Initiative Contextual Assistance

Surface AI help at the moment it's relevant instead of interrupting with notifications.

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Strategy4 steps

Question the Base Assumption Before Build-or-Buy

Before building OR buying a tool, ask whether the process needs to exist at all

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Innovation4 steps

Ride the AI Value Wave

Treat today's AI capability as the worst it will ever be and expand where it's most efficacious

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Entrepreneurship3 steps

Start Small, Don't Boil the Ocean

Narrow scope to the achievable thing in front of you, then build momentum on top of it

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Productivity4 steps

The Teammate Onboarding Model for AI Agents

Adopt a coding agent the way you'd onboard a new intern — pair first, then delegate.

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Strategy4 steps

Unblock the Review Bottleneck

The limiting factor on AI productivity is human review speed — engineer the agent to validate its own work.

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