Apr 19
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Many businesses treat prompts as one-off content: write it, ship it, hope for the best. This episode reframes prompts as living inputs to production systems that need observability—metrics, logs and alerts—so you can detect drift, regressions and user-impacting failures quickly. In 12 minutes Jaco explains what prompt observability actually is in plain English, why it delivers competitive advantage for businesses running AI automations, and practical, low-effort steps to start instrumenting prompts using existing logging, synthetic tests and confidence scoring. You’ll hear 2–3 real-world examples (sales chatbots, content-to-lead pipelines, appointment voice agents), a clear list of risks and limitations, and mitigations you can implement without heavy engineering. The episode finishes with three concise takeaways and one practical question to move you towards safer, measurable AI workflows.