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Documentation Index

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Cerebrum Copilot

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Referencing Context

Referencing Context In chat, use @ to reference a solution its resources, an artifact or visual assets. When you add a reference, that context is passed to Cerebrum with your message. This helps the agent focus on the exact part of Ardor you want to inspect, change, debug, or explain.
Use references when your request depends on a specific object, such as “check logs for @api-service”, “update @landing-page”, or “explain what is inside @my-solution”.

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Available Models

Cerebrum integrates with leading AI providers, giving you access to the most powerful models available:
ModelProviderAvailable From
Gemini 3.1 ProGoogleFree
Gemini 3.5 FlashGoogleFree
GPT-5.4OpenAIStarter+
Grok 4.20xAIStarter+
Claude Sonnet 4.6AnthropicStarter+
Claude Opus 4.6AnthropicPro only
Claude Opus 4.7AnthropicPro only

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How to Switch Models

Model selection
  1. Click on the model name at the bottom of the chat
  2. Select your preferred model from the dropdown
  3. Continue your conversation with the new model

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Choosing the Right Model

Best for: Frontier reasoning, complex coding, UI work, and long-context synthesisA frontier-grade model available on the Free plan. Use it for serious Copilot work that needs reasoning, code understanding, multimodal context, or large-context synthesis.
Best for: Frontier agentic coding, multimodal work, long-horizon tasks, and fast iterationA fast frontier model available on the Free plan. It pairs serious coding and agentic workflow capability with low relative burn and speed, making it suitable for real implementation work.
Best for: Complex reasoning, advanced code generation, nuanced instructionsOpenAI’s professional model for difficult planning, debugging, and implementation tasks.
Best for: Marketing copy, exploratory writing, and brainstormingxAI’s model is useful for marketing-oriented text and broad ideation. Long contexts can consume credits faster, so use it when that extra context is useful.
Best for: Long documents, detailed analysis, nuanced writingAnthropic’s balanced model offering great performance at a reasonable cost. Excellent for code review and documentation.
Best for: Anthropic frontier reasoning, long-running agents, and professional code reviewThis Opus model is Pro-only because it is significantly more expensive to run. Choose it when Claude’s reasoning, review style, or long-running agent behavior is the right fit.
Best for: Anthropic frontier reasoning, long-running agents, and professional code reviewThis Opus model is Pro-only because it is significantly more expensive to run. Choose it when Claude’s reasoning, review style, or long-running agent behavior is the right fit.

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Working with Cerebrum

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Example Prompts

Agentic App

“Build a customer support chatbot that can answer questions about our product documentation”

Web App

“Create a todo app with user authentication and a PostgreSQL database”

API Service

“Build a REST API for managing inventory with CRUD operations”

Data Pipeline

“Set up a pipeline that fetches data from an API and stores it in a database”

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Best Practices

The more details you provide, the better Cerebrum can understand your requirements. Include information about expected users, data formats, and integration needs.
Ask Cerebrum to plan the changes you want to make, ask clarifying questions, and create documentation based on your answers. That way, you can see what the agent is going to do for you before it makes any changes.
Don’t try to describe everything at once. Start with core functionality and iterate with Cerebrum to add features.

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Getting Started

Try Cerebrum Now

Sign up for Ardor Cloud and start building with Cerebrum today. No credit card required for the free tier.