Oli Cheng 1 min read Build Strategy
A 4-Week Playbook for Shipping One AI Feature That Actually Sticks
How I scope one clear end-to-end AI feature for product teams so launches happen fast and hold up in real usage.
- Playbook
- Execution
- AI Product
Most teams fail because they pick an AI project that is too wide.
If the goal is momentum, ship one clear end-to-end feature in four weeks. That means one complete user outcome: trigger, generation, review, save, and follow-up.
Week-by-week structure
| Week | Goal | Output |
|---|---|---|
| 1 | Scope and UX decisions | User flow + acceptance criteria |
| 2 | Integration and guardrails | First internal build with fallback behavior |
| 3 | Instrumentation | Event schema + monitoring dashboard |
| 4 | Launch and learn | Limited rollout + iteration queue |
Non-negotiables
- Use constrained interaction patterns, not a blank prompt box
- Define one fallback path before launch
- Add at least one metric tied to repeated use
const launchGate = {
hasPrimaryFlow: true,
hasFallbackPath: true,
tracksSecondUse: true
};
const readyToLaunch = Object.values(launchGate).every(Boolean);
What this solves
This approach avoids endless prototype drift. You ship something real quickly, then make better decisions from usage data instead of internal debate.