AI Workflow Builder vs Traceseal

This demo shows how JointJS for React handles agent-building UIs: adding skills and prompts, wiring up tools, and defining agent behavior visually.

Verifiable receipts, ground-truth verification and replayable governance for AI agent work. Cryptographic proof of what your agent did, verifiable by anyone.

About AI Workflow Builder

This demo shows how JointJS for React handles agent-building UIs: adding skills and prompts, wiring up tools, and defining agent behavior visually. It ships with automatic layout, custom shapes, a navigator and many more features out of the box, the same pieces you'd use to build this into your own product. Extend the default workflow or build your own from scratch, add new actions, configure agents, jot down notes, and explore everything the diagram can do.

About Traceseal

Verifiable receipts, ground-truth verification and replayable governance for AI agent work. Cryptographic proof of what your agent did, verifiable by anyone. Agents are doing real work, writing code, moving money, touching production. Traceseal is the accountability layer underneath: prove what ran, verify it against ground truth, replay it under governance. Attestation goes beyond "it ran": commands re-execute inside a kernel-namespace sandbox, and forbidden actions are enforced by the sandbox itself, not merely observed.