AgentGrid
AI platform with intelligent agent routing, structured explainability, and enterprise control over versioning and compliance.
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The Mission - PROBLEM
Traditional AI platforms rely on a single, generalist model. In this project, however, the goal was to create a multi-agent system capable of automatically routing requests while maintaining a single chat, ensuring decision-making transparency, supporting governance and versioning, and integrating proprietary knowledge bases.
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Featured Projects
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Multi-agent chat
The user interacts with a single chat, while the system analyzes the request and automatically selects the most suitable agent. Each response is generated by the correct agent, without changing context or interrupting the conversation.
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Reasoning View
A dedicated modal shows how the AI constructed the response: interpretation of the request, selected agent, logic followed, and sources used. Designed for auditing, debugging, and increased system confidence.
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Creation and modification of agent
Each agent can be created and edited directly from its page.
Users can define behaviors, skills, knowledge base, and parameters without leaving the context.
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Agent management and versioning
Each agent maintains a change log and supports collaboration between multiple users. Changes are tracked and versioned, ensuring control, transparency, and continuity over time.
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A clearer, more controllable and scalable AI experience.
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Unique chat with intelligent routing
The introduction of a single chat eliminates the need to manually select an agent, reducing complexity for the user.
The system automatically routes each request to the most appropriate agent, maintaining continuity in the conversation and improving overall efficiency.
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Transparent and verifiable AI decisions
The Reasoning View allows the user to understand how the AI constructed its response, showing the logical steps, sources, and choices made. This increases confidence in the system and enables more informed control of the results.
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Manageable and collaborative agent system
Agent management through versioning and changelogs allows you to track every change over time.
Multiple users can collaborate on the same agent while maintaining visibility into developments, without losing control or consistency.
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Greater confidence in using AI
By combining transparency, control, and consistency of experience, the system reduces the uncertainty typical of generative AI.
Users perceive AI as a reliable and predictable tool, not as a "black box."