As the title says. Im trying to find a way to feed N8N a JSON file thatll have photos, questions with potential answers, and to answer those. I have a system message for what the Assistant is expected to do, and each question will have a separate prompt to queue up Ai go review photos to answer that question. At times its wrong so an employee will fix it which i want to send that feedback to learn. Any ideas how we could do that. We can do webhooks of course to streamline that.
Hey @BrettDev, welcome to the community! 
Here’s a possible approach to structure your workflow in n8n
Not sure what exactly you want to do but the rough structure looks like this:-
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Receive and Process Input JSON
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Use a Webhook or HTTP Request trigger to ingest a JSON containing:
- Photos (URLs or base64)
- Questions
- Potential answers
- Metadata (e.g., user ID, timestamp)
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Generate AI Responses
- For each question, construct a prompt incorporating the system message and relevant photo.
- Utilize the OpenAI node to generate answers.
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Present AI Response for Human Review
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Use the Human in the Loop node to send the AI-generated answer to a human reviewer via a platform like Slack, Telegram, or Email.
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Configure the node to allow the reviewer to:
- Approve the answer
- Reject the answer
- Edit the answer
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Capture Human Feedback
- Store the original AI response, the human-modified answer, and the reviewer’s decision (approve/reject/edit) in a database or data store.
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Update Knowledge Base (May be)
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Based on the feedback:
- Add the new information to your knowledge base for future reference.
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Provide Feedback to Users
- Inform the user about the status of their query, whether it’s been approved, rejected, or edited.
For a practical example, n8n provides a template for a simple email response system that incorporates human feedback:
A Very Simple “Human-in-the-Loop” Email Response System Using AI and IMAP
That’s all I have, hope this helps. : )