Daily AI Email Summary Agent
Scheduled workflow that retrieves emails from the last 24 hours, structures the data, and generates a daily summary using an LLM.
This workflow runs on a daily schedule and retrieves all emails received within the previous 24 hours. For development and testing, the same execution path can also be triggered manually.
After fetching the messages, the workflow restructures the raw email data by extracting consistent fields such as sender, recipient, CC, timestamp, and preview text. This normalization step ensures that the input passed to the language model remains predictable and independent of email formatting differences.
The structured dataset is then provided to a language model, which generates a consolidated textual summary covering the collected messages. The output is treated as a single artifact and sent as a formatted email report.
The workflow is designed to keep scheduling, data preparation, summarization, and delivery clearly separated, making it straightforward to modify individual steps without affecting the overall flow.
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