Prompt Engineering Tutorial 0/120 lessons ~6 min read Lesson 88
Prompt Lifecycle Management
Prompts have a full lifecycle: draft → eval → review → deploy → monitor → improve → deprecate.
Course progress0%
Focus
6 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
Prompts have a full lifecycle: draft → eval → review → deploy → monitor → improve → deprecate. Managing it is the discipline.
Beginner analogy: Like SDLC for prompts — born, grown, retired.
Understanding the topic
Core concepts to understand:
- Draft: written + initial eval.
- Review: peer + governance.
- Deploy: gradual rollout (canary / A/B).
- Monitor: dashboards + sampling.
- Improve: weekly tuning.
- Deprecate: replace + archive.
Syntax reference
Visual workflow / architecture:
bash
Draft → Eval → Review → Deploy (canary → 100%) → Monitor → Improve → Deprecate
Real-world use
Standard at any AI team taking the discipline seriously.
Best practices
- Canary every change.
- Schedule weekly improvement reviews.
- Archive, don't delete.
Hands-on exercise
Interview preparation — practice these questions:
- Q1. What is prompt lifecycle?
- Q2. Canary strategy?
- Q3. Deprecation — process?
- Q4. Review cadence?
Ready to mark this lesson complete?Track your journey across the entire course.