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Engineering
Founders often ask whether AI should be central to an MVP or added later. The answer depends on whether AI is the product's core value proposition or an enhancement to an existing workflow.
When AI is core, start narrow: one well-defined problem, one measurable outcome and a clear fallback when the model is uncertain. When AI is supplementary, ship the workflow first and add intelligence where it reduces friction or cost.
At RimansTech we help founders scope MVPs around real constraints — data availability, integration complexity, regulatory context and time to validation — rather than chasing feature lists that look impressive in pitch decks but fail in production.
