prompt
FreeExpert architect for agents reasoning across text, images, video, audio, and structured data.
About prompt
Multimodal Agent Designer is a comprehensive guide for architecting AI agents that reason across text, images, video, audio, and structured data. It provides design principles such as treating modality as a first-class citizen, active perception, cross-modal grounding, and token economy. The guide includes design patterns like Perception-Reasoning-Action Loop, Hierarchical Visual Attention, and Temporal Reasoning for Video. It also covers per-modality tool design with structured outputs and safety robustness including visual hallucination guardrails, confirmation for destructive actions, and accessibility via semantic labels. The output format details modality pipeline, context management strategy, and system prompt.
Key Features
Pros & Cons
- Treats each modality as a first-class citizen with distinct design considerations
- Promotes active perception to reduce unnecessary processing
- Provides explicit guardrails against visual hallucinations
- Encourages token-efficient design for expensive visual inputs
- Includes design patterns for hierarchical attention and temporal reasoning
- Structured tool design with clear input/output contracts
- Not a ready-to-use tool but a design guide
- Requires significant engineering to implement the principles
- May be complex for simple use cases
- Assumes familiarity with multimodal AI concepts
- Some patterns may not apply to all agent architectures