Shipping AI products fast
How to get a credible MVP in front of users in weeks — what to cut, what to buy, and how to avoid a rebuild later.
The short version
Most products ship slowly for reasons that have nothing to do with code: unclear decisions, scope that keeps growing, and architecture built for scale that hasn't arrived. These articles cover how to scope an MVP, when to buy rather than build, and how to move fast without creating a rewrite.
Why most AI MVPs need a rebuild — and how to avoid it
The structural reasons AI prototypes fail to become products, the cheap habit that prevents each one, and how to tell when a rewrite is the right call.
ReadThe MVP scope cuts that actually save time
Which MVP scope cuts genuinely shorten a build, which ones only postpone the cost, and a simple two-question method for deciding what to cut and keep.
ReadBuy vs build vs glue: the founder's AI stack decision
A practical way to decide, capability by capability, whether to buy a finished product, build it yourself, or glue existing APIs and models together.
ReadHow fast can you actually ship an MVP?
A realistic look at MVP timelines — what makes them slow, what makes them fast, and how to ship something credible in weeks rather than months.
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