An interactive, animated demo that walks through the journey of operationalizing AI agents on Red Hat AI, using Acme Bank's multi-agent banking chatbot as the use case.
The demo progresses through 7 stages across three categories:
The Challenge (Stages 1-2)
- The Agentic AI Revolution - Acme Bank's multi-agent LangChain chatbot for banking
- The Production Gap - Why standard MLOps isn't enough for autonomous agents
Platform (Stages 3-5)
- Bring Your Own Agent -- Kagenti - Framework-agnostic agent lifecycle management
- Agent Deployment & Identity - Zero-trust with SPIFFE/SPIRE + AuthBridge
- Agent Registration & Sandboxing - Isolated, governed, least-privilege agents
Operations (Stages 6-7)
- Agent Observability & Tracing - MLflow + OpenTelemetry deep execution traces
- Agent Guardrails & Safety - TrustyAI FMS + NeMo Guardrails content safety
npm install
npm run dev- Arrow keys or spacebar to move between stages
- Click the timeline nodes or Previous/Next buttons
- Autoplay toggles automatic cycling with configurable intervals
- React + TypeScript + Vite
- Framer Motion (animations)
- Tailwind CSS v4