Guided issue resolution
An agent can highlight fields, explain next steps, and walk customers through troubleshooting instead of dumping static instructions.
Use cases
Where visible agent interaction beats silent automation.
The runtime is strongest anywhere people need to understand, review, or trust what an agent is doing inside real software.
Best-fit scenarios
These are the clearest stories to tell developers and product teams.
Product tours that actually act
Instead of a passive tour, the system can point at real controls, narrate why they matter, and advance with the user.
Visible test operators
Teams can watch an agent move through a flow, making failures easier to debug than headless automation alone.
Human-in-the-loop automation
Ops, finance, and support teams can approve or observe sensitive steps while the agent handles the repetitive mechanics.
Decision framing
Use this runtime when you need all three of these qualities together.
Visible intent
The user should understand what the agent is looking at and preparing to do.
Real interfaces
The workflow touches actual product UI, not just backend APIs or synthetic demos.
Operator trust
Reviewability, narration, and consent are part of the product requirement, not just a nice-to-have.
Audience tracks
The message should shift depending on who is evaluating the system.
Developer tools teams
Position it as an interaction runtime that gives models a visible UX surface instead of another hidden automation framework.
Product engineers
Position it as a way to add guided agent behavior to an existing app without inventing the full stack from scratch.
Operations-heavy teams
Position it as a human-in-the-loop operator layer where consent, narration, and verification matter.
Bridge to docs
Map the story into the technical references developers will actually read.
Once someone sees the fit, send them to the quickstart and integration guides.