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AI Workflows & Automation
Module 4
Lesson 3 of 4
04.03 · Reliability

Backpressure and rate limits

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15/24
Course outline
Module 1
Automation foundations
4
  • 01.01Where AI fits in a workflow
  • 01.02Event-driven vs batch
  • 01.03Choosing a runtime
  • 01.04Mapping your first process
Module 2
Working with LLMs in workflows
4
  • 02.01Structured output with schemas
  • 02.02Retries and fallbacks
  • 02.03Prompt versioning
  • 02.04Guardrails against hallucination
Module 3
Integrations that matter
4
  • 03.01Email, Slack and calendars
  • 03.02CRMs and spreadsheets
  • 03.03Databases and warehouses
  • 03.04Custom HTTP steps
Module 4
Reliability
4
  • 04.01Idempotency keys
  • 04.02Dead-letter queues
  • 04.03Backpressure and rate limits
  • 04.04Alerting on drift
Module 5
Case studies
4
  • 05.01Inbox triage bot
  • 05.02Sales lead enrichment
  • 05.03Support ticket routing
  • 05.04Weekly reporting agent
Module 6
Shipping and measuring
4
  • 06.01Rollout strategies
  • 06.02Human override paths
  • 06.03Tracking cost and time saved
  • 06.04Capstone workflow
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