
Daily Reddit Digest
Run a daily digest of the top performing posts from your favourite subreddits, with preference learning over time.
Ready to automate your workflow?
Deploy your own OpenClaw instance and try these use cases today.

Summarize newsletters, classify email noise, and send a clean daily inbox digest with preference learning.
I want you to run a cron job everyday at 8 p.m. to read all the newsletter emails of the past 24 hours and give me a digest of the most important bits along with links to read more. Then ask for my feedback on whether you picked good bits, and update your memory based on my preferences for better digests in the future jobs.
gmail-oauth
Installsummarizer
Built-inInstall the Gmail OAuth Setup skill for secure mailbox access.
Create a new Gmail specifically for OpenClaw. Unsubscribe from all newsletters on your main email and re-subscribe using the OpenClaw email. This keeps your main inbox clean and gives the agent a focused feed.
npx clawhub@latest install gmail-oauthMake sure the skill works by testing a simple email read command.
Use the "Basic" prompt above for a simple daily digest with preference learning, or the "Classified" prompt for structured email categorization.
After each digest, tell the agent what you liked and what was noise. It stores your feedback in memory and produces better digests over time.
Skip the setup — get a fully managed OpenClaw instance ready to run this use case.
| Starter Plan | |
|---|---|
| Monthly | $49/mo |
| Infrastructure | 2 vCPU · 2 GB RAM · 20 GB SSD |
| AI Credits | $10/mo included |
| Messaging | Telegram (Discord/Slack coming soon) |
Starter's 2 GB RAM handles moderate email volumes well. Upgrade to Pro for high-volume inboxes or multiple account processing.

Run a daily digest of the top performing posts from your favourite subreddits, with preference learning over time.

Build and maintain a personal CRM automatically — daily email/calendar scanning, contact enrichment, meeting prep briefings, and natural language queries.

Decentralized project coordination where subagents work autonomously on tasks, coordinating through shared STATE.yaml files rather than a central orchestrator.
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