Use Cases

Real-world workflows where users deploy, recover, and scale AI agents with shared skills, scheduled jobs, and secure OAuth-controlled access.

Use Case 1

Disaster Recovery in 3 Minutes

A user previously set up an OpenClaw AI agent on a Mac mini. The device failed, but the user did not lose the operating model because skills, OAuth mappings, and scheduled jobs were already managed in HiLumy.

Recovery flow: open HiLumy, select the existing agent, copy the initialization prompt, and paste it into the new agent runtime. The agent installs skills, configures jobs, and restores capability without manual re-documentation.

Outcome: a newly provisioned AI agent is back online with pre-configured skills and automation in about 3 minutes.

Use Case 2

Daily Tech Briefing at 7:00 AM

A user wants a consistent morning intelligence workflow. They define one scheduled job in HiLumy with a clear job prompt: fetch technology news daily, summarize headline-level insights, write results into Notes, and send a notification through chat.

The agent executes automatically every morning at 7:00 AM, produces a customized briefing, and delivers a direct link so the user can read updates immediately.

Outcome: reliable, personalized news operations with zero daily manual effort.

Use Case 3

Unified Family Schedule Monitoring

A user needs to keep school events and swimming team events synchronized without missing deadlines or practice sessions. They assign the agent to monitor both external calendars and continuously sync relevant events into Lumy Calendar.

The agent keeps the calendar normalized, highlights next-day commitments, and ensures the user has one trusted schedule surface for planning and notifications.

Outcome: fewer missed events, lower coordination overhead, and a single daily source of truth.