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Verify AI draft answers with Pearl Hybrid Intelligence and OpenAI

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](https://www.pearl.com...

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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](https://www.pearl.com/enterprise) 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: