From Text-Only to Grounded: A 7-Step Architecture for Multimodal AI Agents
davidad · x · 2026-07-31
The author shares an architectural roadmap for upgrading from text-only LLM agents to multimodal agents. Production agents now require the ability to understand complex inputs like screenshots, dashboards, and medical images.
Key steps in the architecture include:
- Modality Router: Instead of blindly sending everything into one model, detect input types (text, image, chart, etc.) and route them to the appropriate processing path.
- Perception Encoder: Perform perception before reasoning by converting text to tokens, images to patches, and audio to signals, turning multimodal inputs into usable context.
Related event: 7-Step Architecture Guide for Multimodal AI Agents(2 posts)→
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