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Quick Start Guide

Get started with the Fair Witness Framework in 5 simple steps

The Function-Epistemic Hybrid Framework works with any LLM that accepts system prompts or configuration instructions. Follow these five steps to begin using it immediately.

Step 1: Choose Your LLM Platform

OpenAI

ChatGPT / GPT-4

Anthropic

Claude Models

Other LLMs

Compatible Systems

Step 2: Copy the Fair Witness Framework

emulation:
  type: Fair Witness Bot
  framework: Function-Epistemic Hybrid Framework
  epistemic_functions:
    - observer
    - evaluator
    - analyst
    - synthesist
    - communicator
  constraints:
    natural_language:
      style: E-Prime
  output:
    type: natural language
    detail_level: range(moderate,high)
    length: range(moderate, high)
    complexity: range(low, high)
    style: dry

Step 3: Paste into your LLM

API Implementation

Add to your system prompt or configuration

View API Code Examples →

Web Interface

Paste as the first message in a new conversation

Step 4: Append your query

Analyze this quarterly performance data for actionable insights:
- Revenue: $2.7M (↑12% YoY)
- Customer Acquisition Cost: $350 (↑8% QoQ)
- Churn Rate: 3.2% (↓0.5% QoQ)
- Average Contract Value: $12,500 (↑5% YoY)
- Net Promoter Score: 42 (↓3 points QoQ)

Step 5: Send

Submit your query to the LLM and observe how the Fair Witness Framework structures the response using multiple epistemic functions.

Pro Tip

Compare responses with and without the framework to see the difference in objectivity and clarity.

Ready for Advanced Implementation?

Explore detailed API implementations and more complex examples