Daily posting requires daily research — until now
Staying visible on LinkedIn requires consistent, relevant content. Finding what is actually worth posting about takes 1 to 2 hours every morning — scanning sources, reading updates, deciding what matters, writing the post, generating a visual, and queuing it.
Most people do this manually, every single day. Those who do not end up posting inconsistently or defaulting to generic content that nobody engages with. At daily posting frequency, this model saves 7 to 14 hours of research and writing every single week.
News monitored. Posts written. Queue filled. Daily.
Daily 11am Trigger
trigger.dev synced with GitHub runs the model automatically at 11am every day. No manual start, no missed days — the pipeline fires whether you are working or not.
Source Monitoring
Scrapes 4 AI news sources every morning: Anthropic changelog, Claude GitHub releases, Gemini release notes, and AI influencer posts. Full coverage of what is actually moving in the industry.
LLM Filtering
An LLM reviews all updates and flags only the major ones. Minor version bumps, duplicates, and low-signal noise are filtered out automatically. Only updates that will actually resonate become posts.
Content Generation
For each major update: a LinkedIn post, an Instagram caption, and a branded image generated via FAL.ai. Three pieces of finished content per update — written, designed, and ready to publish.
ClickUp Review Queue
One ClickUp card created per update, set to reviewing status with the post copy and image attached. Approve or discard in one click. No copy-paste, no reformatting — just a decision.
Live workflows, exactly as built.
Post daily without spending a morning doing it.
Your content queue filled before you sit down
I'll build this system configured for your niche, your sources, and your brand — running every morning automatically.
Get In Touch