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automation

WhatsApp Automation

The automation turns a recurring editorial task into a reliable learning and engagement routine inside WhatsApp.

A private automation that sends daily English tips and quizzes to a WhatsApp group.

Project type: automation Status: private Year: 2024
WhatsApp Automation hero
Summary

A Node.js and Baileys system that maintains a daily educational content routine on WhatsApp.

Executive summary

Problem

Maintain daily delivery of tips and quizzes to a group without relying on manual publishing every day.

Solution

I developed a Node.js automation using Baileys, hosted on a private server and connected to WhatsApp to publish scheduled content.

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First-person notes on product decisions, execution, and lessons from this project.

WhatsApp Automation is a private system that sends daily English tips and quizzes to a Goodstart WhatsApp group.

The project was created to turn a recurring editorial task into an automated process. Instead of preparing and publishing a message manually every day, the system maintains a consistent educational content routine within a channel participants already use.

How it works

The automation runs on a separate private server and has no public repository. It uses Node.js and Baileys to maintain the WhatsApp connection and publish scheduled messages to the group.

Content alternates between short English tips and quizzes, creating small daily touchpoints with the language. Because the service needs to remain continuously available, the implementation also involves session management, scheduling, monitoring, and recovery after disconnections.

Result

The system is active as a private internal automation. Its value lies in consistency: a small but repetitive task now happens daily with less operational intervention.

The project demonstrates a practical application of automation outside traditional interfaces, connecting educational content, messaging, and the operation of a persistent service.

Stack

Node.jsBaileysWhatsApp Web protocolPrivate server

AI-assisted development

Gemini 3.0 via Google AI Studio

Based on the project's remembered development history, Gemini 3.0 in Google AI Studio was the primary agent used during the applicable conception, implementation, and debugging stages. Server configuration and maintenance were handled manually.

Tags

AutomationOperationsMessaging

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