SIGMOYD: Natural Language-Driven AI Workflow Automation
Inspiration
Problem
Modern professionals often struggle with repetitive workflows and unstructured communication—especially in customer support across vast and dynamic data sources. Traditional automation requires technical know-how, limiting accessibility.
There is a growing need for a natural language-based platform that allows effortless task automation.
What It Does
Solution
SIGMOYD is a prompt-driven platform that enables users to create, visualize, and deploy intelligent agentic workflows. These AI agents integrate with tools like:
- Gmail
- Notion
- GitHub
- Slack
- RAG Tools
- External APIs
- Web platforms
- Custom MCP Servers
Users can trigger actions via events or prompts, participate in community chats, and maintain transparency, memory, and secure cross-platform automation.
Target Audience
SIGMOYD is designed for teams and individuals looking for smarter work execution:
- Product Managers
- Operations Leads
- Customer Support Teams
- Sales & Marketing Analysts
- IT Teams
- Solo Founders
- Government Agencies
The platform offers no-code automation for non-technical users and developer-friendly customizations for technical teams.
Perfect fit for startups, fintech, web3, logistics, and remote-first organizations.
How We Built It
- Used async capabilities of fastapi (python)
- React frontend
- Redis, celery for background processing, workflow log display using socket.
- Clerk for auth
- Composio for mcp server and tool integration
- Deepseek. Gemini, groq for workflow creation
- Dynamodb database
- Gcp for gmail trigger (pub/sub)
- Aws for deployment
- Ngrok for local deployment to recieve new mails.
Challenges We Ran Into
- Designing optimal prompt structures for diverse workflows
- Visualizing complex workflows in an intuitive UI
- Handling errors gracefully during workflow execution
- Prioritizing feature integration for MVP
Accomplishments That We're Proud Of
- Successfully visualized and executed workflows within 60 seconds—from creation to deployment
- Won 1st prize in the Industry Academia Meet for this project
What We Learned
We deepened our understanding of:
- Background task execution
- Redis Pub/Sub architecture
- Message queues
- Prompt engineering
- Real-time collaborative coding (vibe coding)
What's Next for SIGMOYD
Custom Community Chat Interface
Chat agents will trigger workflows and respond with relevant context.
Example: A CEO asks about a lead's status → the agent fetches data from HubSpot or Notion and replies intelligently.Dynamic Knowledge Base Integration
Users can create workflows that retrieve the most relevant answers from long unstructured documents, collections, or URLs.
Triggers can include:- Slack messages
- Incoming customer emails via Gmail
- Webhooks and other real-time events
- Slack messages
Built With
- amazon-dynamodb
- amazon-web-services
- celery
- clerk
- composio
- deepseek
- fastapi
- gemini
- jwt
- python
- react
- redis
- selenium
- typescript
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