📨 Build an Email-Powered AI Agent (using Langflow and Twilio)

What if anyone could access your Langflow agent—just by sending an email?

In this demo, David Jones-Gilardi walks through how to create an AI interface powered entirely by email. Using Twilio SendGrid, Langflow agents, and a few clever tricks, he shows how to process user queries via email and respond with relevant results—no frontend needed.

Perfect for mobile-first teams, users without developer tools, or internal agents powered by enterprise knowledge.

🛠 What You’ll Learn

✅ How to route incoming emails to a Langflow agent using SendGrid
✅ How to use Ngrok to expose your webhook for testing
✅ How to build a task agent that delegates to specialized sub-agents
✅ How to separate sessions by email sender using session_id
✅ Why email is a surprisingly great interface for agent-based apps

⸻

🧱 Langflow Features Shown:

• ChatInput & ChatOutput
• Structured Output for parsing sender email
• Custom Components (Send Email via SendGrid)
• Sub-agents in tool mode
• Agent-to-agent orchestration
• Session ID compartmentalization

⸻

📦 Example Use Cases:

• AI travel concierge over email
• Email-based research agent
• Finance assistant accessible via your inbox
• Company knowledge assistant—no login required

⸻

🎥 Try it live! Send an email to: [email protected]
📎 Code: https://github.com/SonicDMG/email_age...
🌐 Start building: https://langflow.org

#email #emailagent #ai #aiagents #twilio #python #sendgrid #langflow