How to build an AI agent that actually works: The 3-layer playbook
Most AI agents fail on scaffolding, not the model. Learn the 3-layer playbook, context, harness, and loop, to build an agent...








| Launchcodex | Typical CRO | |
|---|---|---|
| Success metric |
CVR, CPL, CAC, revenue, LTV
|
Test count and quick wins
|
| Planning |
Prioritized 90-day roadmap with owners
|
Ad hoc ideas and sporadic tests
|
| Depth |
Research, UX, copy, speed, and analytics
|
Visual tweaks and guesses
|
| Experimentation |
Clean designs with QA and stats rigor
|
Messy setups and inconclusive reads
|
| Implementation |
Dev-ready specs and rollouts
|
Hand off and hope
|
| Reporting |
Dashboards tied to outcomes and shipped work
|
Monthly PDFs and screenshots
|
| AI and automation |
Insight clustering and change detection
|
Manual checks and drift
|







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