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 agency | |
|---|---|---|
| Success metric |
Conversions, adoption, and time to ship
|
Moodboard approval
|
| Planning |
Prioritized roadmap tied to outcomes
|
Ad hoc rounds of revisions
|
| Technical depth |
Tokens, specs, accessibility, dev-ready files
|
Flat exports and assumptions
|
| Approach |
Strategy, UX, and CRO integrated
|
Aesthetics first, strategy later
|
| Handoff |
Annotated guidelines and prototypes
|
Brand book PDF only
|
| Reporting |
Dashboards tied to launches and KPIs
|
Monthly showcase decks
|
| Collaboration |
Shared Slack, sprints, demos
|
Status calls and tickets
|
| AI and automation |
System audits and content assist
|
Manual checks and guesswork
|
| Contracts |
Quarterly flexibility
|
Long-term lock-ins
|







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