Design for every agent.
Serve everyone.
A framework for building interfaces that work across the full AI agent capability spectrum —
from HTTP retrievers to vision agents to protocol-native systems.
curl -s https://yoursite.com | grep "<main"Agent Capability Spectrum
Six levels of AI agents interact with your interface — from HTTP retrievers to protocol-native systems. BiModal Design ensures every level is served.
Learn moreDefense in Depth
Five architectural layers — from server-rendered content through semantic structure, structured data, APIs, to agent protocols — ensure graceful degradation across the entire spectrum.
Learn moreStandards-Based Approach
Built on schema.org, WAI-ARIA, OpenAPI, and emerging protocols like MCP — no custom attributes needed. Use the standards the ecosystem already understands.
Learn morePerformance by Agent Level
Data from WebArena, VisualWebArena, ST-WebAgentBench, and agent protocol benchmarks (2024-2026)
| Agent Level | Conventional UI | BiModal Design | Improvement |
|---|---|---|---|
| HTTP Retrievers (L0-1) | 12-25% | 60-75% | +40-75% |
| Browser Automation (L2) | 35-50% | 75-88% | +30-50% |
| Vision Agents (L3) | 40-55% | 70-85% | +25-35% |
| API / Protocol (L4-5) | N/A | 90-98% | New channel |
| Human Success | 72-89% | 72-89% | Maintained |
Sources: WebArena (Zhou et al., 2024), VisualWebArena (Koh et al., 2024), ST-WebAgentBench (He et al., 2025), Microsoft Build 2025