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How do you plan an AI application before writing code?

Does every part of an AI application need a model?

The answer

No. Models can handle generation tasks, while ordinary application code handles validation, permissions, saved records, and workflow state. Use a model where its capabilities serve the user's goal.

More FAQs in How do you plan an AI application before writing code?

Define the target user and the outcome they need. Identify the input they provide, the output they expect, and a concrete way to judge success before choosing tools or writing code.

Building with AI means using AI tools to help with development, such as planning or writing code. Building an AI application means making an AI capability part of the product's user experience, such as generating a script or narration. A project can involve both.

Generation can fail or produce an unsuitable result. Planning progress, errors, review, and recovery early helps you build a usable workflow instead of a demonstration that only handles successful requests.

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