AI Services Market › Use cases › Research & Knowledge
Research & KnowledgeDone with OpenClaw Mar 8, 2026
Run scheduled competitor briefs and meeting indexing
Users run OpenClaw cron jobs that browse competitor sites for a morning brief, scan GitHub Trends, update memory files nightly, and index recorded meetings and lectures.
- What They Did
- One user runs three OpenClaw cron jobs on a Linux machine in their local network: one agent browses competitor sites for news and writes a breakfast brief with links, another scans GitHub Trends and filters items to their interests, and a nightly job updates the agent’s memory files. In the same thread, another user describes giving an agent indexed access to long recorded meetings or lectures so they can ask for specific moments or summaries instead of reviewing the whole video.
- How It Went
- The competitor-tracking setup reportedly works well with Claude Haiku or stronger models, and less well with weaker ones like minimax 2.5. The video-indexing user says it is much better than reading long transcripts or manually scrubbing a timeline.
- Worth Knowing
- The clearest catch is model quality: the competitor briefs worked well for that user with Claude Haiku or better, but degraded with weaker models.
Try it yourself with OpenClaw
Set up a scheduled job that runs every weekday at [time] and browses these competitor sites: [list of URLs]. It should write a one-page morning brief covering new products, pricing changes, and announcements since the last run, and send it to me at [email or chat channel]. Also set up a nightly job that updates your memory files with what you learned. Show me the schedule and a sample brief before turning anything on.
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