That rule of thumb is refreshingly blunt kajolshah, especially the part about rules breaking at scale. Makes me wonder how many teams could have shipped faster if they delayed AI by a quarter.
Most Startups Add AI Too Early — Here’s How I Decide When It’s Worth It
kajolshah
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— Originally published at budventure.technology
2 Comments
kajolshah
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Exactly.
What I’ve noticed is that delaying AI often reduces overall delivery time, even though it feels counterintuitive. Teams ship faster when they spend a quarter clarifying decisions, constraints, and failure modes, instead of training models around unclear goals.
In a few cases, once rules were made explicit, AI stopped being necessary at all. In others, the delayed AI version was far simpler and cheaper to maintain.
Have you seen teams successfully remove AI after an initial implementation? That’s been a surprisingly strong signal of product maturity in my experience.
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I’m a Director at Budventure Technologies, where I work with startups and businesses to bring digita... Show moreI’m a Director at Budventure Technologies, where I work with startups and businesses to bring digital ideas to life. My focus is on aligning business goals with the right technology, guiding teams, and ensuring projects are delivered with clarity, quality, and purpose. Show less
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