AI-powered lead filtering from any data source.

1. Click Remix
2. Save your OPENAI_API_KEY as an environment variable
3. Customize PROMPT.txt
4. Get the val's HTTP endpoint from main.ts:
5. Forward leads to the val's HTTP endpoint as a POST request.
6. That's it! You now have a growing leads sqlite table with one column for your original input_data and second column for the AI evaluator's output_data.

• When a new lead comes in via POST, it is sent to the OpenAI agent in agent.ts.
• The agent uses web search and the lead data from your POST request to determine if it's a match for the criteria in PROMPT.txt. By default, the AI's output_data includes match (true or false), it's reasoning, and a normalized name for the lead.
• The input_data and agent output_data each get a clolumn in the leads sqlite table.
• The main.ts dashboard shows a history of all lead assessments, successful matches first. Clicking any lead shows the full inbound and output data from the assessment.