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Building multimodal AI products: text, vision and audio together

NEO Campus Editorial13 February 20266 min read
Building multimodal AI products: text, vision and audio together

Multimodal models have moved from research demos to product primitives. The interesting design space is what to do with them.

Vision unlocks new inputs

Screenshots, receipts, whiteboards — anything a user can point a camera at becomes a valid input. Onboarding flows shorten dramatically.

Audio is the next interface

Real-time voice models change support, sales, and accessibility. The latency budget matters more than the model.

Latency budgets

Multimodal pipelines stack latency. Streaming, chunking, and parallel calls are no longer optional.