AI Experiments
This module explains how Tuman AI can be used as a flexible environment for experimenting with AI behavior, roles, and interactions inside chats.
Core goal
AI experimentation helps teams understand how different roles, personalities, and interaction patterns affect conversations and user behavior. Tuman AI provides a simple and flexible space to test ideas in real conversations without complex technical setup.
Problems Tuman AI solves
When working with AI, teams often face these challenges:
Difficulty testing multiple scenarios without rewriting logic;
Lack of a convenient environment to observe AI behavior in real conversations;
Limited visibility into how multiple AI bots interact with each other;
High manual effort required for experimentation;
Slow transition from ideas to working prototypes.
How Tuman AI supports experimentation
The platform allows rapid iteration and real-time changes:
Test different AI personas and roles;
Adjust communication style and initiative level;
Run multiple AI bots within a single chat;
Observe interactions between bots;
Analyze user reactions to different scenarios;
Make changes without stopping the chat.
Experiments happen in live conversations, not isolated test environments.
Typical use cases
Tuman AI works well for a wide range of experimental scenarios:
Testing new conversation formats and ideas;
Prototyping future products or features;
Exploring user behavior and engagement;
Multi-bot interaction experiments;
Learning and researching AI capabilities.
Examples of AI bot roles
Any type of AI role can be used in experimental chats:
Persona Bot — An AI with a clearly defined character;
Moderator Bot — Observes and reacts to conversations;
Contrarian Bot — Introduces alternative viewpoints;
Observer Bot — Monitors and analyzes chat activity.
Roles can be freely combined and modified.
Launch flow (high level)
Launching an experimental chat follows a simple process:
Create a chat;
Define the experiment’s goal;
Configure AI roles and parameters;
Launch and observe behavior;
Iterate and refine scenarios.
Experiments can be paused or restarted at any time.
Best practices
To run effective AI experiments, it is recommended to:
Clearly define the goal of each experiment;
Change parameters gradually rather than all at once;
Observe real user reactions;
Document results and insights;
Use real conversations instead of artificial test prompts.
Demo and next steps
To start experimenting with Tuman AI:
Try a demo chat with multiple AI bots;
Create your own roles and scenarios;
Use experiment results to improve products and workflows.
Tuman AI provides a practical and flexible environment for exploring, testing, and evolving AI-driven conversations.
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