Schedule and publish verified AI news posts
An automated agent checked recent AI stories, created image posts, and pushed them to Xiaohongshu after a manual login when the session expired.
- What they did
- A cron job ran at 09:00 and woke the agent. It searched the web several times for AI news from the last day or two, opened the original pages to confirm the details, and assembled a spec file with five points and their URLs. Scripts then converted that spec into 1080×1440 images, and a browser workflow using a pre-authenticated Edge profile plus Chrome DevTools Protocol handled uploading, filling in the post, and publishing. Afterward, it verified that the post had gone live.
- How it went
- During 36 days of operation, 28 out of 29 scheduled runs published successfully, with no duplicate posts. The one miss came from a model API timeout. Each attempt finished in about 4 to 8 minutes, and the hashtags were posted as ordinary text rather than clickable links.
- Tips
- Publishing was fragile: the publish control lived inside a closed shadow DOM, mouse-coordinate clicking could fail unpredictably, and the editor did not respond to keypresses. The repository lists 20 separate failure modes, so a fallback path is important.
Try it yourself with OpenClaw
At [time] each day, look for the [number] most relevant recent stories about [topic] from the last [24–48] hours. Confirm each story against its source page and one more reliable source, then draft a short [language/tone] post with 5 bullet points and the URLs. Render the post as a [size] image card, then stop and ask for approval before you do anything that would send, publish, delete, or pay for something. If approved, publish it to [platform], confirm it is visible, and record the final text, the links, and any errors.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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