RSS feed trigger
The workflow fires automatically every time a new item appears in the RSS feed — no manual checking required. Each new event immediately enters the processing pipeline.
Back to PortfolioAI Event Aggregator —
Case study · AI automation
AI Event Aggregator —
OpenAI + Pabbly RSS Automation
An automated event aggregation pipeline built in Pabbly Connect — RSS feed triggers ChatGPT to process and summarise new items, applies intelligent time delays, formats dates across multiple nodes, and executes API calls to publish results automatically. Fully hands-off content pipeline.
9Workflow Steps
3xChatGPT Processing Nodes
AutoPublishing via API
ZeroManual Content Work
The project
A content pipeline built to run without a queue.
The client needed an automated system to monitor an RSS feed (Suffolk events), process incoming items with AI, format the data correctly, and publish to their platform — all without any human involvement.
The challenge was building a reliable pipeline that could handle the nuances of RSS data: inconsistent date formats, varying content structures, and the need for intelligent summarisation before publishing — not just raw data passthrough.
I built the full workflow in Pabbly Connect — 9 steps from RSS trigger to API publish, with 3 ChatGPT processing nodes, intelligent time delay, and 3 DateTime formatters ensuring clean, consistent data output every time.
Workflow evidence
Pabbly Connect workflow — AI Event Aggregator with OpenAI + DateTime formatting + API publish
How it works
From incoming item to published event.
The original build is a nine-step Pabbly Connect workflow. The key processing stages below show how the RSS item becomes structured, AI-summarised content ready for publication.
ChatGPT node 1
First OpenAI call processes the raw RSS item — extracting key event details, cleaning up the content, and structuring it for the next stage. Uses Text Input Response API for fast processing.
ChatGPT node 2
Second OpenAI call generates a polished, human-readable event summary or description — transforming raw RSS data into properly formatted, publishable content.
Delay node
An intelligent time delay between processing and publishing — preventing API rate limit issues and ensuring the pipeline processes items at a controlled, reliable pace.
ChatGPT node 3
Third OpenAI call retrieves the final processed response by ID — ensuring the complete, verified output is ready before any date formatting or API publishing occurs.
3x DateTime formatters
Three DateTime nodes handle date formatting: Format Date Only, Modify Current Date, and Add/Subtract Time — ensuring all event dates are clean, consistent, and correctly formatted for the destination platform.
API publish
The final API (Pabbly) node executes the publish request — sending the fully processed, AI-summarised, correctly formatted event data to the destination platform automatically.
Fully automated pipeline
From RSS item to published event — the entire pipeline runs without any human involvement. New events are discovered, processed by AI, formatted, and published automatically 24/7.
Tools & stack
Built as a connected publishing route.
The project uses the original Pabbly Connect, OpenAI, RSS, formatting, delay, API, and automation components documented in the supplied case study.
Pabbly ConnectOpenAI ChatGPTRSS FeedDateTime FormattingDelay NodeAPI Publishing9-Step PipelineZero Manual Work
Original client note
“Samuel built an event aggregation system that completely eliminated our manual content work. New events come in from the RSS feed, get processed and summarised by ChatGPT, and are published automatically — we haven't had to touch it since launch.”AI Event Aggregator ClientPabbly Connect + OpenAI Automation Build
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