You’re Building AI Apps Backwards: The Model-Product Problem

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Most AI developers are building products backwards. They start with a foundation model, wrap it in an interface, and then wonder why users aren’t getting the results they need.

I see this pattern everywhere. Developers treat models like APIs: Plug them in, configure some parameters, and ship. But foundation models aren’t utilities — they’re starting points that engineers need to shape, train, and align with the specific problems their users face every day.

Why Generic Foundation Models Fail for Enterprise Applications

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You’re Building AI Apps Backwards: The Model-Product Problem


Most AI developers are building products backwards. They start with a foundation model, wrap it in an interface, and then wonder why users aren’t getting the results they need.

I see this pattern everywhere. Developers treat models like APIs: Plug them in, configure some parameters, and ship. But foundation models aren’t utilities — they’re starting points that engineers need to shape, train, and align with the specific problems their users face every day.

Why Generic Foundation Models Fail for Enterprise Applications

Consider a…



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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