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 |
CTR, CVR, activation, and time to ship
|
Views and aesthetic feedback
|
| Planning |
Roadmap tied to launches and KPIs
|
One-off asset requests
|
| Technical depth |
Platform specs, motion rules, accessibility
|
Exports without guidance
|
| Approach |
Story, CRO, and design integrated
|
Design first, strategy later
|
| Handoff |
Source files, templates, and specs
|
Flat files only
|
| Reporting |
Dashboards tied to outcomes and tests
|
Monthly showreels
|
| Collaboration |
Shared Slack, sprints, demos
|
Status calls and tickets
|
| AI and automation |
Variant and copy assist, QA checks
|
Manual iteration and guesswork
|
| Contracts |
Quarterly flexibility
|
Long-term lock-ins
|







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