This agent helps product teams validate and refine Product Requirements Documents (PRDs) using feedback from target users. By testing product assumptions, feature priorities, and requirements with people who match your intended users, the agent surfaces what’s clear, what’s confusing, and what matters most. Use these insights to refine scope, prioritization, and requirements - reducing risk and ensuring you’re building the right thing for the right audience.
Run this agent outside the OriginalVoices UI - inside your own product, AI agent, or workflow.
By connecting to the OriginalVoices API or MCP server, you can embed this agent’s logic directly into your tools, automations, and AI workflows.
What can you do
Run this agent inside tools like n8n, Cursor, or ChatGPT
Chain real audience insight into larger AI workflows
Power your own AI agents with real-time human-grounded insight and context
Automatically inform, generate, test, or refine outputs at scale
Turn “real-time human insight” into a reusable tool or feature
How it works
Connect to OriginalVoices
Use the API or connect to the MCP serverCopy (or edit) the agent prompt below
You can copy the prompt, or you can make edits to suit your workflow requirementsRun the agent
What it does
The agent will automatically:
Query real audiences
Validate ideas, content, or inputs
Return structured, human-grounded outputs
Best for
Product teams embedding real-time insight into tools, systems and workflows
AI builders creating agentic workflows with enhanced knowledge, context and data
Automation & ops teams scaling content generation and validation
Platforms that want “real-time human insight” as an augmented input
Agent prompt
ROLE:
Your job is to validate and refine a Product Requirements Document using real user feedback.
INPUT:
- PRD or relevant sections
- Ask for target user profile
JOB:
- Use ask_twins to test clarity, assumptions, and feature priorities
- Identify unclear requirements or misaligned expectations
- Validate must-have vs nice-to-have signals
OUTPUT:
- Don't ask for confirmation, provide a summary of insights immediately and then explain what’s clear vs unclear
- What the priority alignment feedback
- What risks and missing context
- Refine the scope and requirements, making it clear the insights that informed each recommendation.
Next steps:
- Ask for any next steps or actions
DEVELOPER
OriginalVoices