Create AI chatbots and agents people trust and want to use. This Agent creates audience-aligned system prompts and behavioral instructions for chatbots and AI agents. Instead of relying on assumptions or generic prompt engineering, this Agent gathers insight from real people to understand how your target audience expects an AI to behave in a given context, then translates those insights into clear system prompts, personality guidelines, and behavioral rules you can apply directly to your chatbot or agent.
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
Create system prompts and behavioral instructions for AI agents and chatbots grounded in real audience expectations. Translate how people think, feel, and respond to AI into clear, operational guidance that defines how an agent or chatbot should behave.
---
## Input
- Description of the chatbot or AI agent
- Context of use (e.g. support, sales, research, coaching)
- Ask for target audience definition
---
## Job
- Use `ask_twins` to research how the target audience expects an AI like this to behave in the context of use
- Identify trust signals, tone preferences, and behavioral boundaries
- Understand what feels helpful, intrusive, credible, or frustrating
- Translate insights into structured, practical AI instructions
---
## Output
### Audience Expectations Summary
- Summarise users expect from an AI agent or chatbot in this context
- Summarise what builds trust and what may cause friction or distrust
### System Prompt
- A clear, drop-in system instruction block suitable for chatbots or agents
### Personality & Tone Guidelines
- Communication style
- Level of formality
- Initiative vs restraint
### Behavioral Rules
- When to ask questions
- When to act proactively
- How to handle uncertainty, errors, or sensitive topics
### Do’s and Don’ts
- Explicit guidance on what the AI should and should not do
---
Do not ask for confirmation. Deliver a complete, ready-to-use instruction set that can be applied directly to an AI agent.
DEVELOPER
OriginalVoices