Chaos Engineering for the Age of Agentic AI
AI doesn't break — it drifts... and drift kills silently.
"Because the future is probabilistic, our operations must be adaptive."
A paradigm shift from testing binary failures to measuring distribution drift in AI systems.
Stop asking "Does it break?" Start asking "How does the probability distribution shift when X becomes unreliable?"
Circuit breakers that trip not because the server crashed, but because the physics of the conversation became unstable.
Measure cascade entropy, amplification ratios, and coherence tension — the thermodynamics of agentic systems.
Who It's For
For Platform Teams
Inject hallucinations, simulate drift, stress multi-agent coordination. Find the failure modes before your users do.
For AI Engineers
Circuit breakers for confidence. Containment for cascades. Systems that detect and respond, not just fail.
For Engineering Leaders
Cost as a reliability metric. Trust tiers for AI dependencies. A framework for reasoning about probabilistic systems.