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Agentic Flows

  • Defined block contracts for each step (inputs/outputs, errors).
  • Queue or orchestrator available (e.g., job runner, workflows).
  • Observability pipeline configured (logs, metrics, traces).
  1. List the customer journey or business objective (e.g., qualify lead → draft email → schedule call).
  2. Break into blocks with explicit contracts and timeouts.
  3. Define the flow graph: sequence, parallel branches, and decision nodes based on block outputs.
  4. Add retry/backoff policies per block and circuit-breakers on repeated failures.
  5. Implement idempotency keys for side-effecting blocks.
  6. Emit structured events at: start, success, failure, retry, and compensation.
  7. Create dashboards for latency, success rate, and drop-off by node.
  8. Run a dry-run on fixtures; then canary to a small cohort before full rollout.
  • End-to-end happy path < N seconds and meets success threshold.
  • Error rate and SLOs within limits during canary.
  • Hot spots: analyze node-level p95 latency and queue depth.
  • Flaky steps: lower temperature, add explicit checks, or increase determinism.
  • Dead letters: implement replay with backoff and visibility timeouts.
  • Design: 1–2 hours. Initial rollout: same day.
  • Impact: accelerates repeatable workflows with measurable reliability.