Technical Tradeoffs

Technical debt is your friend until it isn't

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AI makes 'good enough' suddenly viable

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Your data preparation matters more than your tech stack

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Examples beat instructions every time

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Humans define boundaries, algorithms execute

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Error handling deserves more code than the happy path

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AI generates believable garbage without careful prompting

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Build for complexity early to enable future scale

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Transparency requires architectural sacrifice

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Build and buy beats build or buy

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AI implementation takes way longer than the hype suggests

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Delete code ruthlessly to maintain velocity

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Rewrites are almost always the wrong choice

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Product design must match your model's accuracy

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Custom models create the real product magic

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