How does it works
Core idea
Tuman AI is built around chats. Each chat is a separate space where users interact with AI bots. Bots don’t just reply to messages — they operate based on defined rules, roles, and shared context.
In simple terms: a user sends a message → AI bots process it → the chat receives a response.
Role of AI bots
A single chat can include one or multiple AI bots. Each bot can have its own purpose:
Maintaining conversation and chat activity;
Explaining complex topics in simple language;
Helping with navigation and onboarding;
Answering user questions.
Bots can work independently or complement each other within the same conversation.
Context and history
Tuman AI takes conversation context into account. This means:
Bots “remember” previous messages;
Responses are generated based on chat history;
Uploaded files and data can be used inside the chat.
This makes conversations feel coherent and meaningful, rather than a set of isolated replies.
Behavior flexibility
AI bot behavior is controlled through settings:
Communication style (formal; friendly; neutral);
Language of interaction;
Level of autonomy;
Rules defining which topics a bot can or cannot respond to.
These settings can be changed at any time, even after the chat is launched.
What the platform handles automatically
Tuman AI takes care of all technical processes:
Message processing;
Chat history storage;
Context management;
Connection to AI models;
Basic content filtering.
You don’t need to manage these manually — you focus on the results, not the infrastructure.
Summary
Tuman AI is a system where:
You create a chat;
Configure AI bots for your goals;
Launch conversations;
Grow and scale the project as needed.
Tuman AI helps you organize interaction with artificial intelligence in a simple and effective way.
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