The demo environment uses a real running application with real telemetry. The AI agents diagnose from actual logs, metrics, and traces — the same way they would on your production stack. There’s no simulation.
1
Sign up and log in
Go to app.sureops.ai and create your account. If you’re in private beta, use the invite link from your onboarding email.After logging in, you’ll land on the Onboarding screen. Select Evaluate with demo environment to continue on this path.
2
Connect your demo environment
sureops provisions a demo environment for your account automatically. This environment includes:
- A sample microservices application (OpenTelemetry-instrumented)
- Prometheus, Loki, Tempo, and Grafana pre-connected via MCP
- A Kubernetes cluster with ArgoCD managing deployments
- GitHub connected for repository context and fix PRs
3
Trigger a demo incident
Navigate to Settings → Environments → Demo and click Trigger incident.This injects a real fault into the demo application. Within 30–60 seconds, an alert fires, sureops detects it, and a new incident appears on the Command Center dashboard.You don’t need to do anything — watch the incident card appear and the stage indicator advance in real time.
4
Follow the incident through the lifecycle
Click the incident to open the Incident Hub. You’ll see:
- The triggering alerts that created the incident
- The triage assessment — severity, affected services, estimated impact
- The diagnosis agent running its investigation (live progress in the agent activity feed)
- Once diagnosis completes: ranked recommendations with evidence and confidence scores
5
Approve a HITL action
When the diagnosis completes, a Pending Approval banner appears at the top of the incident hub (and on the Command Center dashboard).Review the recommendations — each one shows the proposed action, the risk level, the agent’s reasoning, and the evidence it used. When you’re ready:
- Click Approve to let sureops execute the fix and continue to verification
- Click Reject to decline and either provide feedback or take manual control
This approval step is the core of Human-in-the-Loop (HITL). In Self-Driving mode with low-risk incidents, this gate can be configured to auto-approve — but it is always present for high-risk actions and P1/P2 severity. See HITL gates for the full policy model.
What to explore next
After your first incident, the demo environment gives you a few more things worth trying:- Take Control mid-incident — click “Take Control” while the diagnosis agent is running. Watch it finish its current operation, hand off findings, and pause. Use the stage chat to ask the agent questions, then release it back to autonomous.
- Problem Records — after the incident closes, navigate to Problems. A Problem Record was created automatically. This is where recurring pattern tracking and post-closure investigation live.
- ECHO chat — open the chat sidebar and ask ECHO about the incident. It has full context from the pipeline and can answer questions about what happened, why the AI made the decisions it did, and what to watch for next.