> ## Documentation Index
> Fetch the complete documentation index at: https://docs.knify.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Use cases

> The highest-value Knify use cases by audience.

## Agent output structure

Instead of an agent replying with markdown, it emits a structured canvas.

Benefits:

* More predictable output
* Better UX
* Reusable reports
* Less prompt chaos

This is useful before the Hub exists.

## Agent-agnostic UI layer

The same canvas can come from many runtimes:

```text theme={null}
Cursor -> same canvas
OpenClaw -> same canvas
Claude Code -> same canvas
Python agent -> same canvas
Custom workflow -> same canvas
```

Customers can replace the agent runtime without replacing UI, links, dashboards, client reports, templates, or API consumers.

## Branded interactive reports

Agencies, consultants, and marketers can turn AI-generated audits into branded interactive links.

Examples:

* SEO audit report
* Ad or pixel audit report
* Landing page critique
* Competitor research report
* Analytics health check
* CRM or sales enrichment report

## Agentic applets

Canvases with live state and actions become small apps without requiring a full bespoke product build.