# AI App Private Beta Stack

> A lean stack for turning a narrow product idea into a testable private beta, then deciding what to improve from real behavior.

- Canonical: https://gptnavi.com/stacks/ai-app-private-beta-stack
- Estimated monthly cost: $0-$220/month plus usage
- Last materially updated: 2026-08-19
- Best for: Solo founders, Product managers, Small product teams

## Problems this stack solves

- Slow prototyping
- Overbuilt MVPs
- Unsafe early access
- Weak user feedback
- Feature guessing

## Recommended tools

### Problem definition

Recommended: Tally, Notion

Why: Capture one customer job, current workaround, test questions, and data boundaries.

### Interaction exploration

Recommended: Websim, Figma Make

Why: Explore the key flow before committing to a full build.

### Beta build

Recommended: Firebase Studio, Emergent, Databutton

Why: Create a controlled app with the smallest useful data and access surface.

### Evidence

Recommended: PostHog, Tally

Why: Combine behavior, task completion, and concise feedback before expanding scope.

## Beginner setup plan

1. Choose one customer job before opening a builder.
2. Prototype the critical path with fake or low-risk data first.
3. Invite a small, identifiable tester group.
4. Use repeated evidence to choose the next experiment.

## Included workflows

- https://gptnavi.com/workflows/ai-app-idea-to-private-beta
- https://gptnavi.com/workflows/ai-mvp-to-user-test-loop
- https://gptnavi.com/workflows/launch-mvp-with-landing-page
- https://gptnavi.com/workflows/product-analytics-to-growth-experiments