Oliver 'Oli' Cheng
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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
A 4-Week Playbook for Shipping One AI Feature That Actually Sticks

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

WeekGoalOutput
1Scope and UX decisionsUser flow + acceptance criteria
2Integration and guardrailsFirst internal build with fallback behavior
3InstrumentationEvent schema + monitoring dashboard
4Launch and learnLimited rollout + iteration queue

Non-negotiables

  1. Use constrained interaction patterns, not a blank prompt box
  2. Define one fallback path before launch
  3. 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.