SelfSteeringRalph

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SelfSteeringRalph

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An autonomous AI loop that designs itself, then builds and deploys a product

SelfSteeringRalph 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# SelfSteeringRalph 🔄

An autonomous AI loop that designs itself, then builds and deploys a product.

**No PRD. No predefined tasks. Just a goal and one instruction: "criticize yourself."**

## What Happened

- **Input:** 31 lines of text
- **Output:** Live product on Cloudflare Pages
- **Iterations:** 20
- **Time:** ~45 minutes
- **Human intervention:** Minimal (told it about CLI tools)

The loop:
1. Identified its own weaknesses
2. Built its own decision framework
3. Evaluated 8 product candidates
4. Chose AI Image Compressor
5. Defined MVP scope
6. Built the app
7. Deployed to Cloudflare Pages
8. Pushed to GitHub

## Live Result

- 🌐 **Product:** https://squish-image.pages.dev
- 📦 **Product Repo:** https://github.com/basfenix/squish-image

## The Starting Seed

See [loop-seed.txt](loop-seed.txt) — this is ALL we gave the loop.

```markdown
# RALPH v2

## Goal
Build a loop capable of autonomously creating and managing an online product that generates at least €1000/month.

## Phase
Loop development. Do not build the product yet—build the machine that builds it.

## The Loop
You are a fresh AI instance with no memory except this file.

1. READ this entire file
2. FIND the next incomplete task (marked [ ])
3. DO it (create files, research, think)
4. UPDATE this file: mark task [x], add new tasks if discovered
5. APPEND a brief learning to the Log section
6. STOP (next instance continues)

## Success Criteria for the Loop
(What makes this loop "ready" to build a product? Discover and add criteria.)
- [ ] ???

## Tasks
- [ ] List 3 weaknesses of this current loop design

## Log
```

## How to Run It

1. Copy `loop-seed.txt` to `loop.txt`
2. Run `./run.sh`
3. Watch the iterations
4. `/quit` between iterations (or wait for auto-complete)

Requires [Amp CLI](https://ampcode.com) with `--dangerously-allow-all` permissions.

## Files in This Repo

```
├── README.md              # You're here
├── BREAKDOWN.md           # Full iteration-by-iteration analysis
├── loop-seed.txt          # The 31-line starting point
├── loop.txt               # Final state after 20 iterations
├── run.sh                 # The loop runner script
├── decision-framework.md  # Self-created decision process
├── structure.md           # Self-created folder organization
├── research/              # Product evaluation artifacts
├── decisions/             # Product & tech choices
└── specs/                 # MVP specification
```

The actual product code lives in a [separate repo](https://github.com/basfenix/squish-image) — the loop was smart enough to separate process from output.

## Key Insight

> "Separating product code from loop artifacts makes the repo clean—no one wants to see decision frameworks in a product repo."
>
> — Iteration 20

The loop understood that messy process ≠ clean product.

## License

MIT — do whatever you want with it.

---

Built by watching an AI design itself. 🍿

SelfSteeringRalph

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