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AI Gmail Assistant | Control Gmail with WhatsApp using n8n AI Agent
Designed an AI-powered Gmail assistant that lets users manage their inbox directly from WhatsApp. Instead of opening Gmail, users can send natural language commands to read emails, search messages, create drafts, send replies, organize labels, and manage conversations. The solution combines n8n, AI Agent, OpenRouter, Gmail API, and conversational memory to deliver a fast, intuitive, and hands-free email management experience while reducing repetitive tasks and improving productivity.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Challenges
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Related posts
Human VS AI
I asked A.I. to create a visual icon that relates to:
Subject: Analytical Minds
Description: See patterns. Solve complex puzzles. People who see the patterns in the data and love solving complex puzzles.
No way would I use the A.I. version.
6 voted
38%
10 voted
62%
16 votes
Closed
The illustrator copy looks cool...it really shows the pattern clearly
Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
AI RAG Pipeline & Knowledge Base Chatbot Automation Built with n8n
My role. AI Automation Engineer | n8n & RAG, AI Chatbot Developer
Project description. Built an end-to-end RAG (Retrieval-Augmented Generation) pipeline and AI chatbot using n8n. The workflow automates knowledge ingestion, processing, context retrieval, and LLM-powered response generation. It demonstrates how business knowledge can be connected to an AI assistant to provide more relevant and grounded answers. The solution can be adapted for customer support, internal knowledge bases, document Q&A, and AI-powered business automation.
Skills and deliverables
n8n
CRM Automation
API Integration
Chatbot Development
LLM Prompt Engineering
