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91% Using AI. 11% Shipping. Which Are You?
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There are four stages of AI adoption: Experimenting, Piloting, Shipping, Compounding. This assessment helps you figure out where you are—and what it takes to move forward.
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What “Production-Ready AI” Actually Means
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91% of companies use AI. Only 11% have production systems. Here’s the checklist that separates demos from real deployments.
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The Mid-Level Trap: Why Your Best Developers Are Blocking AI Adoption
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Mid-level developers resist AI tools—not because the code isn’t good enough, but because “good enough” threatens their identity. Here’s how to fix it.
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Stop Giving AI Tools to Juniors
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Everyone thinks AI tools are great for juniors. Wrong. Seniors spot mistakes. Juniors accept everything. Here’s why your AI rollout should start with the skeptics.
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How to Get Senior Engineers to Adopt AI Tools
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Your seniors are skeptical of AI tools. Good. That skepticism is exactly why they’ll get 10x results. Here’s the tactical playbook for adoption.
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Vibe Engineering vs. Vibe Coding: Know the Difference
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Vibe coding is accepting whatever AI produces. Vibe engineering is using AI while staying suspicious. One produces demos, one produces production code. Here’s the difference.
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The 11pm Fix: Why Plans Fail on Monday
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Every plan looks good on Friday. Then Monday happens. What 11pm fixes teach you about planning that whiteboards can’t—and how to build plans that survive reality.
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Compounding Engineering: The 4-Step Loop
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Most engineering makes the next feature harder. Compounding Engineering flips the equation. The 4-step loop: Plan, Delegate, Assess, Codify. Each cycle makes the next one easier.
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The Integration Layer Your Business Is Missing
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Your systems don’t talk to each other because you’re connecting them point-to-point. Here’s how to build an integration layer that makes every new system easier.
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Systems-First Design: Stop Adding, Start Decomposing
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Your tech stack keeps growing. Every tool adds complexity. Systems-first design is the alternative: decompose problems into primitives, extend instead of add, reduce complexity over time.
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The Implementation Chasm: Why Forward Deployed Engineers Win
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70% of tech projects fail in the gap between builders and operators. Forward deployed engineers close that gap. Here’s how the model works.
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What Operators Know That Consultants Don’t
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Consultants see the org chart. Operators see what actually runs the business. Why operator experience changes how you build technology.
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Why 95% of AI Projects Fail (And What Mid-Market Companies Can Do About It)
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MIT research: 95% of AI pilots fail. 84% are leadership failures, not tech.