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Chamelio works as an orchestration layer rather than relying on a single AI model. When you submit a request, Chamelio evaluates what the task actually requires and dynamically assigns the right models and tools for each step.

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How a request is handled

1

Decomposition

Complex requests are broken into smaller, well-defined sub-tasks. For example, a research request can be split into source discovery, filtering, extraction, and comparison.
2

Planning

Chamelio determines the most effective way to execute each sub-task, including which model to use, which data sources to draw on, and the order of the steps.
3

Execution

Each step runs with the models and tools best suited to it. This may involve querying external sources, analyzing documents, or applying legal reasoning.
4

Synthesis

The outputs of all steps are consolidated into a single, coherent response.

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Why it matters

Accuracy and consistency

Smaller, well-defined steps reduce compounding errors on complex requests

Multi-source analysis

Combine information from your documents, the conversation, and external sources reliably

Transparency

Reasoning and planned actions are exposed where applicable, so you can see how conclusions were reached
The result is AI-powered legal work that is both powerful and predictable, without sacrificing control or clarity.

Web Agent Context

How the context window shapes what the Web Agent can evaluate at once

Agent Advanced Features

Multi-modal input, intelligent processing, and output formats