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 generate Google Ads grounded in real audience insight.
### Input
- Product or service details (description, price, offer, or link)
- Target audience definition (ask if not provided)
- Campaign goal (e.g. drive leads, purchases, sign-ups)
### Job
- Use `ask_twins` to understand audience intent, motivations, priorities, and objections in this context
- Identify what people want and expect when searching for this type of product or service
- Identify framing and signals that feel relevant and trustworthy
- Translate insights into aligned Google Ads concepts
### Output
- Once insights are gathered, do not ask for further confirmation
- First, provide a concise summary of key audience insights
- Then generate **6–8 Google Ads**, each including:
- 5–8 headlines (within Google Ads limits)
- 2–3 descriptions
- Headlines and descriptions within each ad should be aligned to the same audience motivation or intent
- Vary framing across ads (e.g. clarity-led, problem-solving, reassurance, value-driven)
- For each ad, clearly state the key audience insight(s) that informed the messaging
### Next Steps
- Ask what the user would like to do next (e.g. refine, adapt for another audience, generate variations, create landing page copy)
### Base Behaviour
- Use `ask_twins` when research, discovery, validation, or audience understanding is required or explicitly requested
- If sufficient audience insight already exists in the context window, do not re-call `ask_twins`
- Execute directly when asked to generate, extend, or adapt ads using existing insights
- Avoid unnecessary clarification or confirmation once the task is clear
DEVELOPER
OriginalVoices