Monitors daily topics in Google Sheets, fetches trending articles via Dumpling AI, scrapes and cleans content, drafts first-person LinkedIn commentary with GPT-4o, and writes drafts back to Google Sheets.
Reads topics from Google Sheets and identifies those needing commentary. Uses Dumpling AI to search for relevant news articles and scrapes full text. Generates first-person LinkedIn commentary with GPT-4o and saves the draft back to Google Sheets for review or posting.
Converts trending articles into personalized, LinkedIn-ready posts.
Fetches articles for each topic.
Scrapes full article content via Dumpling AI.
Cleans and aggregates article text.
Generates first-person LinkedIn commentary with GPT-4o.
Appends the draft back to Google Sheets next to its topic.
Schedules daily runs and manages API pacing.
Two-sentence explanation: Before: manual topic research and drafting are time-consuming and error-prone. After: automated article discovery, cleaning, and first-person post generation deliver consistent drafts.
Three-step AI agent flow.
Reads the Google Sheet to identify topics without commentary and queues them for processing.
Uses Dumpling AI to search for relevant articles and scrapes full text via /scrape, then aggregates sources.
Generates first-person LinkedIn commentary with GPT-4o and writes the draft back to Google Sheets.
One realistic scenario that demonstrates the AI agent in action.
A realistic scenario: The Google Sheet contains 5 topics without commentary. The AI agent processes each topic by finding a top article with Dumpling AI, scraping the content, cleaning it, generating a short first-person LinkedIn post, and saving the draft next to the topic within 15–20 minutes. Completed posts appear in the sheet for review and posting.
One supporting sentence.
Need timely commentary on industry trends to establish thought leadership.
Require a faster, reliable way to generate LinkedIn posts with a consistent voice.
Want scalable posting cadences and data-backed topic relevance.
Need to deliver client-ready LinkedIn content with less manual work.
Must manage daily posting and topic discovery efficiently.
Can convert trending topics into newsletter snippets quickly.
One supporting sentence with short explanation.
Reads topics lacking commentary and writes back generated drafts.
Search-news for each topic and scrape articles via /scrape.
Generates first-person LinkedIn commentary from cleaned article text.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The AI agent uses a Google Sheet as its topic source. For each topic, it employs Dumpling AI to search for relevant news articles and then scrapes the full text. The content is cleaned, merged, and fed to GPT-4o to generate a first-person LinkedIn post. The resulting draft is saved back to the same Google Sheet for review or posting. All steps are contained within the AI agent workflow, with retries and error handling to minimize disruption.
Yes. The prompt used by GPT-4o can be adjusted to specify tone, formality, and voice. You can specify a professional, conversational, or witty tone depending on your audience. The AI agent preserves the chosen voice across posts by reusing a consistent prompt structure. You can experiment with tone presets and re-run drafts for alignment. Changes apply to future posts without requiring manual rewriting.
Generation time varies with topic complexity and the number of topics in the run. On typical sets (5–10 topics), you can expect a full processing cycle in under 20 minutes. The AI agent uses batching and pacing to respect API limits. It saves drafts incrementally to Google Sheets so you can review while additional topics process. Overall turnaround is fast enough to support daily posting cadences.
The agent relies on publicly available article text and produces commentary rather than reproducing verbatim content. It performs text cleaning to remove extraneous formatting and non-essential content. The output is crafted as a first-person opinion piece, reducing direct copying. You should still review drafts for compliance with publication guidelines and attribution where required. If you have stricter licensing needs, you can configure sources and prompts accordingly.
Currently, the agent saves drafts back to Google Sheets for review. It is designed to enable a human-in-the-loop posting workflow. Automatic publishing can be added as a separate step if you want end-to-end automation, but may require additional safeguards and approvals. This setup helps prevent posting errors and ensures quality control before distribution.
The AI agent includes error handling and retries for each step. If a scrape fails, it logs the incident and retries with a fallback source. If the generated post doesn’t meet quality expectations, you can rerun the processing with adjusted prompts. Errors are surfaced in the Google Sheet and the execution log so you can inspect and correct manually if needed. Regular prompts updates can reduce recurring issues.
Yes. The agent is designed to scale across multiple topics and teams by processing in batches. You can centralize topics in a single sheet or segment by team to maintain clear ownership. Rate limits and API quotas should be considered; start with a smaller batch to tune performance. You can schedule daily or multiple daily runs depending on your publishing cadence. The system keeps a clear audit trail in Sheets for accountability.
Monitors daily topics in Google Sheets, fetches trending articles via Dumpling AI, scrapes and cleans content, drafts first-person LinkedIn commentary with GPT-4o, and writes drafts back to Google Sheets.
