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Experiments

The Digital Alchemy Experiments collection showcases innovative prototypes, creative explorations, and technical proof-of-concepts that push the boundaries of what’s possible with modern web technologies and AI.

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Philosophy

Experiments are where we:
  • Test new ideas without the pressure of production
  • Explore emerging technologies before they hit mainstream
  • Learn by building rather than just reading docs
  • Fail fast and iterate on creative concepts
  • Share discoveries with the community
Experiments are intentionally rough around the edges. They’re meant to inspire, teach, and demonstrate concepts - not to be production-ready products.

Chromatic Illusion

Visual effects weaponizer using Google AI Studio for dynamic color transformations and illusions

Vocab Vault

Flashcard app teaching vibe coders the vocabulary they need to build with AI tools

Vibe Coding Cohort

Collaborative learning platform for no-code/low-code builders transitioning to AI-assisted development

Ruby Magnetosphere

Experimental particle system with physics-based interactions and WebGL rendering

Chroma Flow

Real-time color transformation and gradient generation tool

Demo Carousel

Interactive showcase component with smooth transitions and touch gestures

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Categories

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Visual & Creative

Experiments focused on graphics, animations, and visual effects:
Advanced color manipulation and visual effects using AI
  • Dynamic palette generation
  • Optical illusion effects
  • Google Gemini integration
Particle physics simulation with WebGL
  • Attraction/repulsion forces
  • Real-time rendering
  • Interactive controls
Color theory exploration tool
  • Gradient generation
  • Harmony detection
  • Export to various formats

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Education & Learning

Tools designed to teach and accelerate learning:
Flashcard app for vibe coders
  • 200+ tech terms
  • ELI5 mode
  • Progress tracking
  • Mobile-first design
Community learning platform
  • Cohort-based courses
  • Peer learning
  • Project showcases
Learning retention technique
  • Spaced repetition
  • Personal knowledge base
  • AI-powered review

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AI & Automation

Experiments with AI models and automation:
AI-powered content generation
  • Multi-modal output
  • Style transfer
  • Template system
Single-command development environment
  • AI pair programming
  • Auto-scaffolding
  • Context-aware suggestions

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Tech Stack Diversity

Experiments use various technologies to explore different approaches:
  • React 18/19
  • Next.js
  • Vite
  • Remix

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Experiment Lifecycle

1

Ideation

Identify an interesting problem or technology to explore
2

Rapid Prototyping

Build a minimal version as quickly as possible (1-7 days)
3

Documentation

Document learnings, challenges, and interesting findings
4

Share

Release to the community for feedback and inspiration
5

Iterate or Archive

Either evolve into a full project or archive as a learning artifact

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Status Indicators

🟢 Active

Currently being developed and tested

🟡 Paused

On hold but may resume in the future

⚪ Archived

Completed or deprecated, kept for reference

🔴 Evolved

Graduated to a full-fledged project

🟣 Concept

Early-stage idea, not yet implemented

🟠 Learning

Educational experiment for skill development

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Contributing Ideas

Have an idea for an experiment? Consider these criteria:
Good experiment ideas:
  • Can be built in 1-7 days
  • Explores something new or unfamiliar
  • Has a clear learning objective
  • Could inspire others in the community
  • Doesn’t require production-grade infrastructure
Not suitable for experiments:
  • Requires months of development
  • Just another CRUD app
  • No clear technical learning
  • Too similar to existing projects
  • Needs significant ongoing maintenance

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Lessons Learned

Key insights from our experiments:

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Technical

  • Start with the hard part first - Validate the risky assumption early
  • Don’t over-engineer - Experiments are temporary by nature
  • Use familiar tools - Save learning for one thing at a time
  • Document as you go - You’ll forget the details quickly

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Process

  • Time-box strictly - Set a deadline and stick to it
  • Share early - Don’t wait for perfection
  • Embrace constraints - Limitations spark creativity
  • Celebrate failures - Failed experiments teach the most

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Community

  • Show your work - People learn from the process, not just the result
  • Ask for feedback - Fresh eyes spot what you miss
  • Build in public - Transparency builds trust and momentum
  • Pay it forward - Your experiment might unlock someone else’s idea

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Notable Outcomes

Some experiments that evolved into something bigger:

Vocab Vault → Mobile App

Started as a weekend experiment, now a full Capacitor mobile app

Chromatic Illusion → Design Tool

Proof of concept for AI-powered color tools

Time Capsule → Learning Method

Experimental technique now taught in the community

Demo Carousel → Component Library

Reusable component extracted and shared

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Explore by Technology

  • Chromatic Illusion Weaponizer
  • Alchemic Generator V2
  • 1Code Main
  • Vocab Vault (AI definitions)

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Getting Started

Want to try running an experiment?
1

Clone Repository

Most experiments are in source/Experiments/
2

Check README

Each experiment has its own README with setup instructions
3

Install Dependencies

Usually just npm install or bun install
4

Run

Typically npm run dev or bun dev
5

Explore Code

The code is intentionally simple - read and learn!
Many experiments require API keys for AI services. Check the README for specific requirements.

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Archive

Completed experiments available for reference:
  • Blazing Schrodinger - Quantum-inspired UI states
  • Cursing Woman - Sentiment analysis experiment
  • Deep Radiation - Data visualization prototype
  • Exo Spirit - 3D character animation
  • Infrared Hypernova - Color space exploration
  • Node Banana Master - Visual programming interface
  • Resonant Halley - Audio visualization
  • Ruby Feynman - Physics simulation
  • Freebies - Collection of free assets and tools

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Community

Share your own experiments:

Digital Alchemy Skool

Join the community and share your experiments

Show & Tell

Weekly sessions to demo experiments and get feedback

Experiment Challenges

Monthly challenges to build specific types of experiments

Open Source

Many experiments are open source on GitHub

Start Your First Experiment

Pick a technology you want to learn and give yourself 7 days to build something with it

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