AegisOpsLive enterprise agent systems lab
ready
SRE / incident response3 model agents
Production Incident Investigator
Investigate the live GitHub platform status, reconcile component health and active incidents, then produce an evidence-grounded operational brief.
GitHub Status APIgpt-4.1-mini4 tool calls$0.05 ceiling
Fixed rulesKnown facts to predefined outcome
Dynamic policyContext to allow, block, approve
AI workflowModel inside a fixed graph
AgenticPlans, selects tools, evaluates
Production integration patternFaster, evidence-backed incident commandDatadog · PagerDuty · deployment telemetry · GitHub
TRADITIONAL AUTOMATIONThresholds route known severity states; they cannot investigate conflicting or novel evidence combinations.
AGENTIC ADVANTAGEParallel specialists reconcile independent evidence and adapt the operational brief to what they observe.
Live execution canvas
Agent decides. Rules match.
0 agent tools 0 tokens · $0.0000 equiv. 0 events
Agentic laneadapts plan and tools
Fixed-rule laneevaluates known conditions
Observable decision ledger
execution summaries · no hidden chain-of-thoughtWhere control actually lives
Observe-decide-act loopcontrol can change after evidence
Prewired rule pathsame conditions every run
Agentic result
Will adapt its plan, choose tools, ground evidence, and pass policy before output.
Fixed-rule result
Will fetch predefined fields, evaluate configured conditions, and stop at the known outcome boundary.
Public demo charge$0.0000GitHub Models free tier
Direct API equivalent$0.00000Measured input + output tokens
Deterministic model cost$0.0000json-rules-engine, no LLM
Grounded synthesis
Model output
No generated answer yetStart a run to watch tool calls, evidence, and the final grounded brief stream here.
Runtime controlsApplied to the next run