#agent-ops

Operations playbook for agentic AI — process automation, incident response, capacity planning, vendor management. Functions, roles, tools, 90-day rollout.

Anonymised LangFuse rollout for agent observability — situation, approach, OpenTelemetry adoption, cost attribution, drift detection, outcomes.

Pipeline-health metrics for agentic workflows — completion rate, stage abandonment, retry depth, cost per success. The 10-KPI panel and targets.

MTTR / MTTD framework for agentic AI incidents — severity matrix, detection signals, containment runbooks, postmortem cadence. KPI panel inside.

Agent quality framework — pass rate, revision rate, eval coverage, regression detection. The 10-KPI panel distinguishing quality from velocity.

Velocity framework for agentic teams — 12 KPIs across deploy, eval, incident, cost, governance. The dashboard layout production teams adopt.

Incident response playbook for agentic workflows — detection, containment, eradication, recovery, postmortem. Runbook templates and severity matrix inside.

Ship agentic workflow automation in 90 days — workflow inventory, prototype, production deploy, observability, governance. Phased timeline inside.

Eight observability anti-patterns that make agent traces useless — PII in spans, cardinality explosion, trace truncation, missing replay, more.

Eight agentic workflow anti-patterns that turn agents into outages — hidden state, race conditions, un-bounded loops, tool over-broad scope.

Per-user-per-month token-budget calculator for SaaS agentic features — formula tables, tiered budget design, overage routing, alert thresholds.

Audit your agent workflows for failure recovery, timeouts, retries, rollback, and human-in-the-loop coverage with a 70-point severity-ranked scorecard.

Audit agent observability across 60 points — trace coverage, span depth, eval signals, drift detection, cost tracking, and incident response readiness.