# First AI Product Launch — Zero to Live in 30 Days

A structured 30-day framework that takes you from "I have an AI idea" to "I have paying users." Each week has clear deliverables, so you never get stuck wondering what to do next.

## Week-by-Week Breakdown

### Week 1: Validation
| Day | Task | Deliverable |
|-----|------|-------------|
| 1-2 | Problem interviews (5+ users) | Pain point map |
| 3-4 | Competitor audit | Positioning matrix |
| 5 | Write positioning statement | One-liner + landing headline |
| 6-7 | Validate with 3 potential buyers | Go/no-go decision |

### Week 2: Build
| Day | Task | Deliverable |
|-----|------|-------------|
| 8-9 | MVP scope (ruthless cut) | Feature list (≤5 features) |
| 10-11 | AI model selection & integration | Working prototype |
| 12-13 | Landing page + waitlist | Live URL |
| 14 | Internal dogfooding | Bug list + UX notes |

### Week 3: Pre-launch
| Day | Task | Deliverable |
|-----|------|-------------|
| 15-16 | Beta cohort (10-20 users) | Onboarded users |
| 17-18 | Feedback collection | Priority fix list |
| 19-20 | Content seeding (3 posts) | Published content |
| 21 | Iterate based on feedback | Updated product |

### Week 4: Launch & Iterate
| Day | Task | Deliverable |
|-----|------|-------------|
| 22-23 | Distribution setup (PH, HN, Reddit) | Scheduled posts |
| 24 | Launch day execution | Live product |
| 25-26 | Engage and respond | Community activity |
| 27-28 | Metrics review | Dashboard |
| 29-30 | First revenue push | Paying customers |

## Common Pitfalls
- Building too much before validating demand
- Choosing the wrong AI model (over-engineering)
- Skipping the beta phase
- Launching without a distribution plan
- Ignoring first-week feedback

Built by Gingiris — guided 50+ AI products from concept to launch.