The next generation of streaming AI doesn't just answer questions.
It tests the governed response.
Streamwake is testing a governed seven-stage incident-response loop: Detect → Investigate → Decide → Approve → Act → Verify → Learn. It can be evaluated against authorized streaming workflows, from failure-domain investigation to viewer-level verification and a documented lesson.
Dashboards answer whether something broke. Copilots answer why. Streamwake tests the governed loop — with autonomous execution dependent on approved connectors, explicit permissions, and agreed evaluation scope.
Detect. Investigate. Decide. Approve. Act. Verify. Learn.
Seven stages, one governed loop under evaluation. Streamwake is testing the Detect → Investigate → Decide → Approve → Act → Verify → Learn cadence against authorized streaming workflows. Approved connectors, explicit permissions, and agreed evaluation scope determine whether Act can be exercised or remains a recommendation for review.
Detect
A proposed evaluation uses synthetic probes from geo-distributed clients — encode, edge, DRM, last-mile, and player startup — landing on a single signal bus.
Investigate
The evaluation joins anomaly, packet, and time-series data to rank the failure domain and form a typed hypothesis with confidence — not a chart, not a partial log line.
Decide
Propose the smallest safe remediation for the confirmed failure domain — reroute egress, roll a flag, or re-package a title — before any action is considered.
Approve
Secure governed operator approval for the selected remediation, keeping a permitted change distinct from any evaluation of the action that follows.
Act
When an approved connector, explicit permissions, and agreed evaluation scope are in place, exercise a permitted remediation path under guardrails; otherwise, keep it as a typed recommendation for review.
Verify
A proposed evaluation re-probes the affected viewer envelope across at least one full recovery window. Recovery is checked at viewer level, not assumed.
Learn
Capture the evaluated outcome and postmortem while the timeline is fresh, turning the response into a clearer signal for the next event.
Dashboards ≠ Copilots ≠ Operators.
Each layer does its job and stays in its lane. The same incident lands on a different surface at each layer — and the operator's job changes with it.
- Aggregate green status across healthy regions
- Chart routes to an engineer via email or chat
- Anomaly logged for someone to investigate later
Answer whether something broke.
- Pull context from a chat thread or a query box
- Suggest a likely cause alongside the alert
- Leave the actual runbook to the operator
Answer why it broke.
- Detect, investigate, and classify a typed next-action for review
- Decide the smallest safe remediation and secure governed approval
- Evaluate a permissioned action path, verify recovery, and document the postmortem
Tests the governed loop — and documents the postmortem.
Three failure domains Streamwake is evaluating.
Illustrative categories, not case studies. Each one names a signal, the symptom, and why this is exactly the slice of streaming that needs an operator — not a chart.
CDN brownout
edge.pop_health_score · cache.hit_ratio_drift · multicdn.weight_convergence_msA single edge POP or a provider region degrades while aggregate cache health stays green. Viewers in the affected region buffer; multi-region hit-miss dashboards smooth across the POP. This is the kind of incident Streamwake can evaluate against an authorized workflow: detect, classify, and review a candidate response.
Last-mile congestion
player.startup_join_ms · segment.fetch_ttfb_p95 · qoe.rebuffer_ratio_region_splitA regional ISP throttles a peering link mid-event. The CDN serves correctly-signed segments, but a slice of viewers sits in rebuffer. Aggregate dashboards treat it as noise. This is the kind of incident Streamwake can evaluate against an authorized workflow: detect, classify, and review a candidate response.
Player startup
drm.license_latency_p95_ms · drm.handshake_2xx_with_slow_bodyLicense handshake latency spikes during a primetime window — Widevine / FairPlay / PlayReady return 200 OK with a body that takes seconds to deliver. The player times out mid-handshake. This is the kind of incident Streamwake can evaluate against an authorized workflow: detect, classify, and review a candidate response.
Bring us your last streaming incident. A walkthrough, on us.
You share the timeline — the affected geography, the symptom, the moment it cleared. We come back with an incident replay, the ranked root cause across encode / edge / DRM, and the typed remediation the Streamwake agent would recommend for review.