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By Bret Taylor and Kevin Gibbs

0 recommend/use · 2 sourced episodes

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Innovation4 steps

Disassemble the Lego Set

Don't digitize the old thing — reassemble the pieces into an experience native to the new platform.

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Communication4 steps

Emotional Journey Design for Content

Content is predicting reader reactions: hook them, pace the emotion, make people likable.

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Innovation4 steps

Frustration-Log Micro-Tool Ideation

Beat the idea crisis: log a week of frustrations, then build tiny AI tools to kill them.

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Sales4 steps

Match Go-To-Market to Buyer-User Alignment

Pick developer-led, PLG, or direct sales by asking one thing: are the buyer and the user the same person?

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Sales4 steps

Outcome-Based Pricing Qualifier

If the work is autonomous and the result is measurable, price the outcome — not the tokens.

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Innovation5 steps

RAG Data Preparation Over Database Tuning

The biggest RAG quality wins come from preparing data for retrieval, not picking a database.

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Leadership3 steps

Randomized Tiered Trial for AI Productivity

Measure whether AI tools help by running a randomized trial split across performance tiers.

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Productivity4 steps

Root-Cause Context Engineering for AI Coding

Don't just fix the AI's bad code — root-cause the missing context so it's right next time.

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Innovation3 steps

Step-Wise Eval Design for Multi-Step AI Apps

Don't evaluate agents end-to-end; put an eval on every step until you hit coverage.

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Strategy3 steps

The Eval ROI Decision

Build evals where failure is catastrophic or you must win; vibe-check the rest.

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Leadership3 steps

The Most Impactful Thing Today (with the Honesty Test)

Wake up asking what maximizes impact — then interrogate your answer for skill-set bias.

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The Three-Segment AI Market Map

Frontier models, tooling, or applied agents — pick the layer that fits your capital and your edge.

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Mindset4 steps

Turn Advice Into a First-Principles Framework

Don't collect rules — ask why, triangulate three people, and rebuild the reasoning underneath.

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Two-Question New Technology Adoption Test

Before adopting any new AI tool, ask: how big is the gain, and how painful is the exit?

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What Actually Improves AI Apps

Stop chasing AI news and vector DBs; the real levers are users, data, and prompts.

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