Receive & classify: The diagram includes creating a label and adding a label to a message.
Route & draft: A sender lookup checks whether the sender is a VIP.
Route & draft: VIP and high-priority branches contain AI draft generation.
Route & draft: Draft details are logged in Google Sheets and notifications go to Telegram.
Review & send: Telegram Callback Query starts a separate reply-review path.
Review & send: The path retrieves draft details before the Gmail send-message node.
Review & send: Status updates and a Telegram confirmation follow the send step.
Follow up & report: A reminder branch reads unanswered emails and checks for overdue items.
Follow up & report: Other branches show daily summaries, weekly reports and dashboard metrics.
Follow up & report: A spam-checking branch and an unsubscribe-analysis branch are also visible.
What is evidenced: The screenshots document node names, integrations and connections.
What is evidenced: Prompts, credentials, exact routing rules and execution logs are not supplied.
What is evidenced: Sending accuracy, response times and time savings have not been measured here.
Recap: start: A Gmail Trigger feeds an AI Agent Classifier connected to Groq.
Recap: process: A sender lookup checks whether the sender is a VIP.
Recap: route: Telegram Callback Query starts a separate reply-review path.
Recap: output: A reminder branch reads unanswered emails and checks for overdue items.
Evidence boundary: The supplied screenshots show architecture. They do not verify production outcomes.
Takeaway: Follow the connections, inspect the source, and validate configuration before operational use.
Source: local automation1 screenshots. This film explains visible node connections; prompts, credentials and execution results are not supplied. Robot and props are explanatory illustrations. Back to the case study.