Runtime & Automation
- Sandboxed execution runtime
- User-defined custom agents
- Scheduled and triggered work
- Results return through structure
Workspace agents, specialist domain agents, and reusable Agent Skills work through one connected model. When data or logic changes, the interface updates instead of being rebuilt by hand.
Agents through structure · Inspectable by design · Changes become updates
Most AI agents can act. Few can stay aligned. That is why agents need structure, so changes stay inspectable, controlled, and updateable.
See what changed, why it changed, and what it affects.
Agents work through structure, not isolated prompts or outputs.
Change once, then interfaces update without manual rework.
Not a black-box assistant. Not a generic agent builder. Workspace, scoped, and specialist agents all work through the same connected model, so every action stays inspectable, controlled, and aligned.
Turn connected data into pages, views, workflows, and published outputs, with agents working through the same model at every step.
One connected platform spanning Integrate, Store, Transform, Design, Build, and Publish. Agents use these as capabilities. Humans use them as inspectable, editable tools.
Connect files, feeds, APIs, and data sources into one governed starting point.
Structured storage for relational data, documents, and durable system state.
Clean, normalize, reshape, and validate data through replayable pipelines.
Design pages, views, and systems directly from connected structured data.
Build dynamic apps, sites, and workflows from data-driven structure and logic.
Ship prerendered, SEO-friendly sites, apps, and APIs from the same platform.
Bring a catalog, supplier directory, ops queue, or any change-heavy workflow your team still rebuilds by hand. We turn it into one connected system agents can work through and prove clean change on real data without manual rework.