qmetrika ·Agent Canvas Model v4.1 · 2026

QMetrika Labs · Agent Canvas Model

The framework to design
AI agents before you code them

Stillness of thought first, then the technique.

3 phases, 4 canvas, 10 blocks each. Align business and technology before writing a single line of code.

Explore each phase below ↓

Phase 1 · Strategic

Governance & Adoption

Before choosing technology, define who sponsors the program, how it is governed and how to manage organizational change.

Executive mandate and sponsor
Governance model (AI Office / CoE)
Stakeholder map and resistances
Adoption roadmap (3 phases)
Change management and enablement
Organizational metrics and review cadence

Phase 2 · Technical

Agent Design

Define who uses the agent, what value it delivers, what technology it needs and how to ensure safe operation.

User segment and value proposition
Channels, personality and tone
KPIs and value sources
Base model, Control Flow Pattern
Partners, integrations and costs
Security and ethics guardrails

Phase 3 · Architecture

MCP Layer

Design the Model Context Protocol layer: what the server exposes, how it is transported, with what security and how it is observed.

Exposed tools
Server resources and prompts
Transport: stdio / HTTP+SSE / WebSocket
Authentication and access control
Observability and logging
Testing and deployment strategy

Features

💾 localStorage auto-save 🔗 URL hash sharing 📂 JSON import / export 📄 Word PRD+ADR export ⚡ Control Flow Pattern 🔌 MCP Architecture Canvas 🔒 Event Sourcing 🏢 Enterprise Governance 🖥️ Air-gap ready ♿ WCAG 2.2 AA