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Episode 4: Reliability, Testing, and Workflow Patterns
Workflow Automation with AI
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33m
Build resilient AI pipelines with retry logic, fallback paths, dead-letter queues, observability, and a three-level testing strategy that catches failures before production does.
Up Next in Workflow Automation with AI
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Episode 5: The Automation Tooling Lan...
Compare no-code, low-code, and pro-code automation platforms using six evaluation criteria, and navigate build-vs.-buy decisions with total cost of ownership analysis.
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Episode 6: Integration Patterns and D...
Connect AI workflows to CRMs, ticketing systems, and data warehouses using API, webhook, event-bus, and caching patterns matched to your latency and volume needs.
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Episode 7: Securing AI Workflows
Defend your AI pipelines against prompt injection, data leakage, and output manipulation with input sanitization, output guardrails, prompt security, and PII controls.
