Glossary
Key terms and definitions used across the Qubitz AI system.
| Term | Definition |
|---|---|
| AI Voice Screening | A blueprint that conducts automated voice-based candidate interviews using Amazon Nova Sonic. Evaluates candidates across configurable criteria and delivers structured assessments with scores |
| Alignment Score | AI-calculated score (0-1) measuring how well a use case aligns with the company's stated strategic intent |
| App Deployer Agent | Agent that handles the end-to-end deployment pipeline -- provisions infrastructure, builds and pushes containers, and reports deployment status |
| App Refiner | AI-assisted feature development tool that lets you describe changes to your deployed application in plain English and preview them in a live environment before deploying |
| Application Management | Post-deployment dashboard with 10 tabs: Overview, Agents, App Config, Test Bed, App Refiner, Identity & Access, Observability, Compliance & Security, FinOps, and Settings |
| Artifacts | Generated documents and deliverables stored in the project's Artifacts panel -- includes AI Discovery Report, Deep Research Report, Use Case List, Executive Presentation, and AWS Architecture Diagram |
| Best Fit | Green badge auto-assigned to the use case with the highest combined rating and sentiment score on the Jamming Board |
| Blueprint | A pre-built, production-ready multi-agent application for a common enterprise use case. Customized to your company via a setup wizard and deployed directly to AWS |
| Brand Kit | A set of visual identity assets (logo, color palette, brand guidelines) uploaded during app generation to apply your company's look and feel to the generated application |
| Channel Integration | Configuration in App Config that connects your deployed agent to communication channels -- Web Widget, Slack, WhatsApp, Microsoft Teams, and Voice / Calling |
| Connection Log | Real-time scrollable log in the analysis modal showing each agent's actions during pipeline execution |
| Control Hub | The workspace where generated architecture specs are refined, tested, and deployed -- accessed via the Design App button or from the Blueprints page |
| Customer Support Blueprint | A blueprint that deploys an omnichannel AI support agent across web chat, Slack, WhatsApp, and voice. Handles customer intents, takes actions in connected systems, and escalates to a human when needed |
| Deep Analysis | The full multi-agent research pipeline triggered by the "Deep Analysis" button -- takes approximately 6-8 minutes |
| Design App | Button on the Jamming Board that creates an Application record and opens Control Hub for a selected use case |
| Design Doc Agent | Agent that generates a comprehensive High-Level Design document for deployed applications covering architecture, data models, API contracts, and implementation details |
| DevGuide | Agent that auto-generates developer documentation for deployed projects |
| DPO Pack | A set of 7 compliance documents generated automatically: Privacy Policy, Data Flow Map, Security Policy, Retention Policy, Subprocessor Register, Cookie Policy, and GDPR Controls |
| Dual Publisher | Agent that publishes both report formats (standard Deep Research + structured Discovery) |
| Feature Engineering Agent | Agent in Control Hub that handles feature extraction and data ingestion planning for the generated architecture |
| FinOps | Financial operations tab in Application Management -- tracks cost and usage of deployed AI applications by service with daily cost trends |
| Hyperpersonalisation | A blueprint that analyzes your customer data across 7 intelligence dimensions (WHO, WHAT, WHEN, WHERE, HOW MUCH, WHY, RISK) and produces personalized campaign strategies and reports |
| IDP (Intelligent Document Processing) | A blueprint that runs an end-to-end document pipeline -- classifying, extracting structured data from, validating, and reporting on uploaded documents automatically |
| Impact Badge | Color-coded classification (High Impact = red, Medium Impact = yellow) assigned to each generated use case |
| Jamming Board | Visual board displaying generated use cases as cards with ratings, impact badges, and alignment scores -- the collaborative workspace for prioritizing AI use cases |
| Nova Sonic | Amazon's real-time voice AI model used to power voice-based agents including live phone interviews and voice support channels |
| Observability Agent | Platform agent that sets up monitoring, tracing, and alerting for deployed applications |
| Pipeline | The multi-agent orchestration system that processes business context through sequential phases |
| PPTX Agent | Agent that generates the Executive Presentation artifact -- a PowerPoint deck summarizing use case findings for stakeholders |
| Priority Score | Calculated score in the AI Discovery Report combining Business Value, Feasibility, Risk, and other dimensions |
| Project ID | Auto-generated identifier for each saved analysis project (format: company-slug-numeric-id) |
| Structured Writer | Agent specialized in generating the templated AI Discovery Report with decision matrices and scoring |
| Test Bed | Live chat environment within Control Hub and Application Management for testing deployed agents -- includes Agent Activity Tree, evaluation metrics, and voice mode |
| UCT (Use Case Tool) | The main analysis tool where users input business context and receive AI-generated use cases, reports, and artifacts |
| WAFR | Well-Architected Framework Review -- automated AWS compliance report generated against a deployed application's infrastructure |