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Claude Co-work

By Anthropic

2 recommend/use · 2 sourced episodes

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Build for the Current Model, Prototype for the Next

Elicit max capability from today's model while pre-building the products the next model will unlock

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Build Your Own Senior-Engineer Benchmark

Measure AI honestly by scoring new models against real human experts rewriting your actual broken work.

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Clear-Goal Ambiguity Cut

Because general LLMs can do anything, a sharp key-user + problem + use-case triad is what rules approaches out

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Frozen Competence: Where Human Value Survives

Models commoditize yesterday's competence; your value is using that cheap competence to make something new.

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Mission-Above-Product Prioritization

Route every cross-org tradeoff through a single shared mission so decisions are fast and everyone stands behind them

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Model Introspection Harness Repair

When an AI agent misbehaves, ask it why — its explanation reveals the harness gap to fix

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Self-Mastery3 steps

Ride the Models

Stay valuable in AI by playfully applying each new model to your own work and re-testing what it couldn't do before.

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Ship-in-Research-Preview Speed Loop

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Super Agent With a Forward-Deployed Human

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Productivity4 steps

The 100%-or-Nothing Automation Rule

An automation that works 95% of the time isn't an automation — push it to 100% or don't rely on it

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Communication3 steps

The AI-Document Slop Test

An AI-written document is fine — as long as you can stand behind every line and it took longer to make than to read.

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The Reach Test

Judge whether an AI tool is truly useful by whether you reach for it unprompted each morning.

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Three-Legged Model Evaluation

Judge a model-harness combo with heavy usage, a trusted five-person taste panel, and ~10 sharp evals

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