Modern AI assistants, such as ChatGPT, Claude, Gemini, DeepSeek, work in single mode — the user interacts with only one assistant at a time. Each of them has its strengths: some are better at searching the internet, others generate images or remember context. But they are all limited by the one-on-oneformat, which does not allow combining different models and their capabilities in one dialogue.
💡 Neira Concept
In Neira the user can create separate projects, each of which is an an independent working environment.
🔹 Group chat for each project
Within the project, a single chatis available, where several AI expertsinteract. Each of them performs their own role — for example, developer, analyst, designer and others.
🔹 Intelligent model selection
Each assistant is assigned the optimal neural network, suitable for their tasks. For example:
- Claude — for programming (code analysis and generation).
- GPT-4o — for analytics and data processing.
- OpenAI o1 and other advanced models — for strategic thinking and complex reasoning.
🔹 Mastermind Group Effect
Neira creates the feeling of working with a team of experts, rather than with a single assistant. The user receives diverse perspectives and higher quality solutions, thanks to the specialization of each chat participant.
🧠 Neira's difference from ChatGPT in memory management
One of the key features Neira is its memory system, tied to specific projects. Unlike ChatGPT, where memory is unified and applies to all user chats, Neira allows information to be stored and used separately in each project.
How is memory structured in ChatGPT?
- All dialogues are combined into a common memory, regardless of their topic.
- The assistant remembers communication style, preferences, and conversation details across all chats at once.
- If a work conversation is being held in one chat, and hobbies or personal matters are being discussed in another, contexts can overlap, leading to confusion.
How is memory structured in Neira?
Each project in Neira is a separate environment, where all information is stored, including:
- Dialogue history — all messages remain within the project, forming its unique context.
- Communication style — for each project, you can build your own tone of interaction.
- Attachment support — within the project, you can save files, images, documents, and they will only be accessible within its scope.
What does this give the user?
- The ability to run several projects in parallel, without fear of information mixing.
- Each assistant in the project works only with relevant context, which increases the accuracy of responses.
- Flexibility in setting communication style — you can separate formal and informal conversations.
Thus, Neira ensures complete separation of information between projects, making it convenient for working with different tasks without the risk of losing context.
📁 Examples of projects in Neira
The user can create an unlimited number of projects, for example:
- Project for work — for discussing business tasks, team management, analytics.
- Project for personal goals — organizing ideas, planning, exploring new topics.
- Project for creativity — developing concepts, creative writing, image generation.
Each project is separate environment, operating independently of others.
🎭 Assistant settings in each project
Within each project, the user can add and configure your assistants, defining their roles and specialization. For example:
- In the project programming project neural networks can be Claude (for code) and GPT-4o (for analytics), etc.
- In the project marketing — Gemini (for content generation) and DALL-E (for image creation).
Thus, each project receives its unique set of tools.
