Qubitz Workflow
The end-to-end pipeline from use case discovery to deployed, managed production-grade AI agents.
The end-to-end pipeline from use case discovery to deployed, managed production-grade AI agents.
1. Use Case Intelligence
Multi-agentic research engine identifies, evaluates, and prioritises AI use cases by business value and feasibility. The system crawls your company website, analyzes uploaded documents, and gathers market intelligence to produce prioritized, actionable AI opportunities.
Results land on the Jamming Board -- a collaborative workspace where your team rates use cases with star ratings, discusses them via threaded comments, and ranks them automatically using combined rating and sentiment analysis. The top-ranked use case gets a "Best Fit" badge.
Artifacts generated during discovery include PowerPoint decks (marketing, technical, strategy, use case), AWS architecture diagrams, and deep research reports.
2. System Architecture & Design
From the Jamming Board, selecting "Design App" on a use case creates an application and opens the Control Hub. The AI Architect tab provides guided multi-agent system design with configurable agent roles, orchestration patterns, and data flows.
Domain experts refine, validate, and optimise the agentic system through natural language modifications -- adjusting agent behaviors, models, tool configurations, guardrails, and knowledge base connections in real time before any code is generated.
3. Application Feature Testbed
Users test their designed agent system in a live testbed environment connected to the actual AgentCore runtime. Full control over agent configurations, tool integrations, and knowledge base connections.
Test conversations validate agent behavior, handoffs, and orchestration patterns. Changes to prompts, models, or tools take effect immediately without redeployment.
4. Full-Stack Deployment
One-click deployment provisions infrastructure across Amazon Bedrock AgentCore, ECS Fargate, DynamoDB, S3, Cognito, and CloudWatch. The application deployer agent automatically generates and deploys the full stack -- API endpoints (WebSocket + HTTP), authentication, memory systems, monitoring, and security guardrails.
Your agents go live with built-in conversational memory, real-time health monitoring, and secure API access.
5. Application Management
After deployment, the Application Dashboard provides ongoing management:
- Overview -- App status and endpoints
- Agents -- Manage deployed agents
- App Config -- API keys and custom domains
- Test Bed -- Live chat to test your deployed agents
- Observability -- Traces, logs, and health metrics
- FinOps -- Cost tracking and usage
- Settings -- Application configuration
App Refiner enables AI-assisted feature development directly on the deployed application.