Lead qualifying from any data source.

1. This val is a webhook
2. You can POST arbitrary lead data to it from anywhere
3. An AI agent sorts the good leads from the bad leads
4. Leads are stored and arranged in a dashboard

1. Click Remix
2. Store your OPENAI_API_KEY as an environment variable here
3. Customize PROMPT.txt (Don't remove any fields from the structured response)
4. Get the val's HTTP endpoint from main.ts:
5. Forward leads to this webhook as a POST request.
6. That's it! Watch them drop into your dashboard at main.ts

Webhook

• Data from incoming POST requests are passed to the OpenAI agent in agent.ts.

AI Agent

• The agent uses web research check if the lead is a match for the criteria in PROMPT.txt.
• By default, the AI returns {name, match, reasoning}. This is the output_data.

Storage

• Every lead is added to the leads SQLite table: id, timestamp, input_data, output_data.

Dashboard

• Leads that are a match are at the top of the dashboard.
• Non-matches are hidden by default
• Click a lead to view all input and output data

• Add fields to the AI's output instructions in PROMPT.txt to:
  • enhance the AI's assessment
  • enrich your leads
  • normalize lead data from different sources
• add query parameters to your POST to flag sources
  • ex: your-val-endpoint.val.run?source=signup-page