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Running AI Prototyping Projects
Get early feedback and mitigate risks in AI prototypes
Now that we’ve covered what AI prototyping projects are and how to launch AI prototyping projects, let’s talk about how to get started with an AI prototyping project.
While artificial intelligence is a broad and nebulous term, I find that AI projects benefit from keeping things as simple as possible — especially at the beginning.
Low-fidelity Prototyping
One of the best ways of conveying the vision of an AI system is through low-fidelity prototypes. A low-fidelity prototype involves simulating the application experience through visual aids.
Low fidelity prototypes can include paper prototypes where you sketch the individual screens of your application and how your application responds to an input such as a chat message or uploaded photo.
Paper prototypes are easy to make and simple to understand. Additionally, because they’re literally sketched on paper, a paper prototype is not likely to be misinterpreted as a completed system. However, they can leave some ambiguity as far as styling goes.
More complex prototypes can be created using software like Figma or Balsamiq. These pieces of software allow business users to use drag and drop…
