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

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