You will get a WhatsApp meeting reminders from Google Calendar
Project details
This project sets up automated WhatsApp reminders for meetings scheduled in Google Calendar.
The goal is simple: reduce no-shows, avoid missed meetings, and improve attendance without manual follow-ups.
Once configured, the system automatically detects new calendar events and sends WhatsApp reminders to participants at the right time — for example, 24 hours and/or 2 hours before the meeting starts.
The automation also checks if a meeting was cancelled or rescheduled before sending reminders, ensuring messages are accurate and relevant.
This is a reliable, event-based automation designed for real business use — not a generic notification script.
The goal is simple: reduce no-shows, avoid missed meetings, and improve attendance without manual follow-ups.
Once configured, the system automatically detects new calendar events and sends WhatsApp reminders to participants at the right time — for example, 24 hours and/or 2 hours before the meeting starts.
The automation also checks if a meeting was cancelled or rescheduled before sending reminders, ensuring messages are accurate and relevant.
This is a reliable, event-based automation designed for real business use — not a generic notification script.
Programming Languages
JavaScript, PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$199
|
Standard
$399
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
Install Script | |||
Test Script | |||
Task Automation |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$99
Additional Revision
+$99Frequently asked questions
About Luiz Fernando
AI Automation Developer
Malaga, Spain - 5:18 pm local time
Companies don’t need AI demos or prompt experiments.
They need reliable systems that replace manual work, reduce operational friction, and scale with the business.
That’s what I build.
I design and deploy production-grade AI automation systems using Python, LangChain, and agent-based architectures, always focused on clean design, long-term maintainability, and real business impact.
I’m the founder of IA Operators, an automation agency specialized in AI-driven workflows, multi-agent systems, and end-to-end integrations. My work goes far beyond prompt engineering. I architect real systems that operate continuously inside companies.
What I specialize in
I build AI systems that:
. Replace repetitive manual processes in sales, operations, onboarding, and support
. Connect LLMs directly to real business data (CRMs, documents, databases, APIs)
. Make decisions using structured logic, tools, and memory — not guesswork
. Scale safely from MVPs to long-term production environments
Typical projects include:
. AI agents with tools, memory, and decision graphs using LangChain and LangGraph
. RAG pipelines connected to internal documentation, CRMs, and structured databases
. Sales and lead automation systems (qualification, routing, follow-ups, outreach)
. Operational automations integrating AI with existing workflows and teams
. Content and marketing pipelines fully automated end-to-end
How I work
I’m Python-first, using automation platforms like n8n to orchestrate AI models, APIs, databases, and business tools into robust, maintainable systems.
I focus on:
. Clear architecture
. Explicit logic and decision flows
. Documentation that survives handovers
. Systems designed to evolve, not break after the first change
I work best with companies that want real solutions, not hacks, demos, or short-lived experiments.
Selected experience (examples)
. Designed AI-driven sales automation systems integrating WhatsApp, CRM, and LLM agents to qualify leads and trigger actions automatically
. Built RAG systems connected to internal documentation, allowing teams to retrieve accurate answers without manual searching
. Implemented multi-agent decision flows to route requests between sales, support, and operations
. Automated content and outreach pipelines using AI-personalized messaging at scale
Tech stack
Python, LangChain, LangGraph, OpenAI APIs, n8n, REST APIs, Webhooks, WhatsApp Business API, Google Sheets, Airtable, Notion, Slack, Make, Zapier
Who I’m a good fit for
. Companies that want AI as infrastructure, not a side experiment
. Teams replacing manual workflows with automation
. Founders needing a fast but solid MVP
. Businesses planning long-term AI adoption with clean architecture
If you’re looking for someone to “try some prompts”, I’m probably not the right fit.
If you want a production-ready AI system that actually works, we should talk.
Steps for completing your project
After purchasing the project, send requirements so Luiz Fernando can start the project.
Delivery time starts when Luiz Fernando receives requirements from you.
Luiz Fernando works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements review
I review your Google Calendar setup, reminder preferences, and WhatsApp notification requirements to ensure everything is clear before implementation.
Automation configuration
I configure the automation logic to detect calendar events and schedule WhatsApp reminders according to the selected package (e.g. 24 hours and/or 2 hours before the meeting).