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Verify AI draft answers with Pearl Hybrid Intelligence and OpenAI

Workflow preview

Verify AI draft answers with Pearl Hybrid Intelligence and OpenAI preview
Open on n8n.io

Overview

Pearl Hybrid Intelligence: AI draft + expert verification (across 100+ expert domains)

Deliver higher-confidence answers by combining an AI assistant with professional human verification.

Pearl provides access to a network of 20,000 licensed experts (including JDs, MDs, PhDs, DVMs, CPAs, engineers) across 100+ domains - Legal and Health are just examples, and the prompts can be tuned for many other areas.

What this template does

  • Lets users ask questions in a conversational format (your app sends the conversation history).
  • Collects any missing intake details before answering.
  • Generates a clear draft answer using AI.
  • Sends the draft to a Pearl expert for professional verification.
  • Returns the verified answer back to the user, including who verified it.

How it works (non-technical)

  1. A user asks a question.
  2. If the assistant needs more context, it asks one focused follow-up question.
  3. Once the assistant has enough information, it drafts a complete answer.
  4. That draft is automatically reviewed by a qualified Pearl expert.
  5. The user receives the verified answer, along with expert attribution.

Setup steps (10–15 minutes)

  • Connect your OpenAI credential in n8n (used for intake + drafting).
  • Add your Pearl MCP Server API key (used for expert verification). You can request a demo access key here: https://www.pearl.com/enterprise/contact-get-started
  • Activate the workflow and send a test request using the example payload below.

Customization

  • The intake and draft answer prompts can be adjusted to match end-user needs (domain, tone, risk policy, compliance requirements).
  • You can also modify the response format (fields returned, disclaimers, attribution formatting) without changing the core flow.

Input payload format (conversation history)

Send a JSON body like:

{
 "model": "gpt-4o-mini",
 "messages": [
 { "role": "user", "content": "My question..." }
 ]
}