From request to deployed app. Orchestrated.
A planner decomposes the task. Specialized agents build in parallel, each with full enterprise context. What ships is already compliant.
"Build a shift planning tool"
Planner
Decomposes into tasks
Data Agent
Queries semantic layer, resolves schemas, enforces access
UI Agent
Generates frontend with your design system components
Backend Agent
Builds API integrations, business logic, auth patterns
Deploy Agent
Provisions infra, injects identity, wires pipeline
Each agent pulls certified context from Canyon's semantic layer via MCP
Assembled, governed, deployed
correct schemas · your UI · your infra · full audit trail
Every agent gets full enterprise context.
Via MCP, each agent pulls live context from Canyon's semantic layer — not a static config loaded at startup.
Certified data
Entity definitions, metric logic, schema structure. The AI asks for gross_margin — Canyon tells it exactly where that lives.
Governance rules
Auth patterns, logging, secret handling, architectural standards. The golden path becomes the default path.
Design system
UI tokens and component library. Generated apps render in your visual identity, not model defaults.
API catalog
Internal endpoints surfaced semantically. 'Update customer address' resolves to your real API.
Any tool. Any model. Your context stays.
Switch models when better ones ship. The governance layer doesn't restart from zero.
Model Providers
OpenAIAnthropicGoogleMistralCustom / self hosted
AI Coding Tools
Claude CodeCursorLovableGitHub CopilotVS CodeYour own tooling
You stay in control.
Agents act with your context but never without your guardrails.
Approval gates
Pause high-stakes operations for review before execution.
Rollback
Revert agent sessions to a prior state at any point.
Session replay
Full audit of agent actions, inputs and outputs. Every decision is traceable.