MODULE « MultiTurn »

Module name :

Multi-Turn Analysis of AI Responses

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Module Objective :

This module tests the consistency and logic of an AI system over multiple turns, simulating a structured conversation or a sequence of realistic interactions.It challenges the AI’s ability to maintain context, respect predefined constraints, and produce reliable responses over time.

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Key Features :

💬 Multi-turn dialogue simulation (up to 3 consecutive interactions)

🧠 Inter-response consistency evaluation

🔄 Model comparison: ChatGPT, Mistral, Claude, etc.

📥 Import of custom conversations via .csv files

⚖️ Structured mode (e.g., legal, decision-making, educational use cases)

🚦 Automatic or manual scoring of AI performance

📊 Exportable summary report (.csv)

🔐 Secure access via client token

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Who Is It For?

• AI & NLP developers
• Legal professionals using conversational assistants
• Compliance & AI audit departments
• Trainers and educational AI designers
• Academics, researchers & model testers

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Practical Use Cases :

• Assess whether an AI assistant can sustain multi-step legal reasoning
• Test a chatbot’s conversational memory
• Compare competing models on the same structured dialogue
• Detect hallucinations, contradictions, or logical gaps
• Evaluate educational or client-AI simulation scenarios

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Why This Module Matters ?

Because an AI model can give a correct answer once… and contradict itself the next time.
MultiTurn allows you to challenge AI systems over time—like in a real conversation—and extract tangible indicators of robustness, consistency, and reliability.

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Available On :

• BULORΛ.ai secure portal (token-based access)
• Clean & responsive interface
• CSV export of results & custom scenarios
• Instant or imported test modes

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