An automated email-based research assistant powered by Google's Deep Research
AI. Send an email with your research question, and receive a comprehensive
research report back via email.
🚀 Features
Email-triggered research: Send a research query via email to initiate deep
research
Asynchronous processing: Research runs in the background using Google's
Deep Research Pro
Automated delivery: Completed research reports are automatically emailed
back to you
Status tracking: Uses Val Town blob storage to track ongoing research
tasks
Markdown formatting: Receive beautifully formatted research reports in
HTML
📧 How to Use
Send an email to: deep-research@valtown.email
Subject: Your research topic (e.g., "Latest advances in quantum
computing")
Body: Detailed research question or context
Wait: The system will process your request and send the research report
back to your email
🏗️ Architecture
This val consists of two main components:
1. Email Handler (main.ts)
Type: Email Val
Trigger: Incoming email
Function:
Receives email and extracts the research question
Initiates a Deep Research task via Google GenAI API
Stores task metadata in blob storage for tracking
Returns immediately while research continues in background
2. Status Checker (cron.ts)
Type: Interval Val
Trigger: Scheduled (periodic check)
Function:
Polls blob storage for pending research tasks
Checks completion status with Google GenAI API
Sends email with research results when completed
Handles failed research attempts
Cleans up completed tasks from storage
🛠️ Technical Details
Dependencies
@google/genai - Google GenAI SDK for Deep Research
markdown-it - Markdown to HTML conversion
Val Town standard library (blob, email)
Data Flow
Email arrives → Store task → Background research
↓
Periodic status check
↓
Research complete? → Email results
Race condition: Concurrent emails or simultaneous status checks may cause
conflicts (noted in code comments)
Consider implementing proper locking mechanism for production use
🔧 Configuration
Required Environment Variables
Google GenAI API credentials (configured through Val Town secrets)
Email Configuration
From address: paulkinlan.deep-research-email@valtown.email
Reply name: "Deep Research"
📝 Example Usage
Email to send:
To: paulkinlan.deep-research-email@valtown.email
Subject: The impact of AI on software development
Body: I'm interested in understanding how AI tools like
GitHub Copilot and ChatGPT are changing the way
developers write code. Please research recent
trends and statistics.
Response you'll receive: A comprehensive email with:
Detailed research findings in HTML format
Multiple sources and citations
Well-formatted sections and bullet points
Original query context included
🚀 Deployment
This val is ready to use as-is. The components are:
Email endpoint: Automatically configured by Val Town