What local AI automation means
Local AI workflow automation means the app can use your local workspace, local files, local memory, and local model endpoint before it reaches any cloud service.
Use it for digests, source summaries, issue triage, support routing, document checks, and recurring status reports.
Safe workflow pattern
Start with a read-heavy flow, run Dry Run, inspect side effects, then activate schedules or webhooks only after the graph is clear.
- Use Manual Trigger for the first test.
- Review every external send.
- Use Boards for follow-up work.
SEO-friendly examples
Good starter workflows include a local AI research digest, an AI document summary workflow, a webhook-to-WebChat responder, and a scheduled board cleanup report.
Next step
This doc mirrors the in-app Docs tab. Install Disp8ch, open onboarding, and use WebChat when you want the app to inspect your current setup.