How Moda Builds Production-Grade AI Design Agents with Deep Agents
Blog post from LangChain
Moda is an AI-native design platform aimed at non-designers, providing tools to create professional-grade presentations and visual content without requiring a design background. It distinguishes itself from similar platforms like Canva and Figma by integrating a Cursor-style AI sidebar and leveraging a multi-agent system built on Deep Agents, with LangSmith offering observability. The platform addresses the challenge of AI in visual design by developing a custom context representation layer, which simplifies how layout information is processed, thus improving output quality and reducing token costs. Moda's AI system comprises three agents: the Design Agent for real-time design creation, the Research Agent for content gathering, and the Brand Kit Agent for maintaining brand consistency. These agents operate using a shared architecture that includes a triage step, a main agent loop, dynamic context loading, and full tracing in LangSmith. Moda's approach allows users to interact with a fully editable 2D vector canvas, transforming the user-AI dynamic into a collaborative process rather than a simple generate-and-replace model. The platform has found early success with B2B companies needing quickly produced, brand-aligned sales materials, and future developments include enhancing memory capabilities, completing migration to Deep Agents, and expanding brand context support for larger enterprises.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 5 | 6,078 | 960 | 218 | +18% |
| Observability | 3 | 3,204 | 716 | 172 | +14% |
| AI Agents | 1 | 4,545 | 963 | 231 | +27% |
| Harness engineering | 1 | 154 | 104 | 59 | +22% |
| Multi-agent systems | 1 | 574 | 146 | 66 | +51% |
| Real-time | 1 | 6,457 | 1,307 | 242 | +28% |
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