// GLOSSARY -- AGENTIC AI
What is Multi-Modal Agent?
A multi-modal agent is an AI system that can process and generate multiple types of data — text, images, audio, video — enabling richer interaction with humans and digital environments.
WHY IT MATTERS
Early AI agents were text-only. Multi-modal agents break this limitation — they can analyze screenshots, read charts, process voice commands, and interact with graphical interfaces.
A multi-modal financial agent could analyze a chart image, read a PDF statement, process a voice instruction, and navigate a trading platform's UI — all in one workflow.
Multi-modal capabilities also improve safety. An agent that can read and verify a transaction confirmation screen provides additional validation beyond API responses.
FREQUENTLY ASKED QUESTIONS
Which models support multi-modal agents?
GPT-4o, Claude 3+, and Gemini all support text and image input. The trend is toward universal multi-modal models handling all modalities natively.
Can multi-modal agents interact with UIs?
Yes. Computer use capabilities allow agents to view screens and perform clicks and navigation, enabling agents to use any software, not just APIs.
Does multi-modality improve reliability?
It can. Visual verification of transaction screens and analyzing charts provides additional data that text-only processing would miss.