Overview
Taste Lab and Decker are two very different AI-powered tools aimed at distinct professional audiences. Taste Lab is a design analysis tool that reverse-engineers the visual taste of any website, outputting a complete design map and taste DNA for use by AI coding agents. Decker, on the other hand, is a comprehensive deliverable platform for consultants, investors, and finance professionals, enabling them to create high-quality business outputs (decks, memos, models) and monetize their expertise.
Feature Comparison
| Feature | Taste Lab | Decker |
|---|---|---|
| Primary Function | Reverse-engineers design taste from any URL | AI-powered deliverable creation and monetization |
| Target User | Designers, developers, AI agent users | Mid-senior professionals in PE, consulting, finance |
| Output Format | .md and .json files with design tokens | Editable PPTX decks, memos, models, proposals |
| AI Integration | Claude Code, Gemini CLI, Cursor, Windsurf, etc. | Built-in AI agents for research, analysis, production |
| Monetization | Not applicable | Redact and label deliverables for AI training data income |
| Learning & Community | Not applicable | Cohorts, masterclasses, peer network (coming July 2026) |
| Setup Complexity | Requires git, Playwright MCP, AI tool config | Web-based, join beta, no credit card |
| Customization | Exact design tokens from any website | Brand templates, data labeling, expert support |
Pricing
Taste Lab: Free and open-source. Clone the GitHub repository and use with your own AI tools. No subscription or usage fees.
Decker: Free beta with no credit card required. Monetization model allows users to earn by turning deliverables into AI training data. Enterprise co-build and partnerships available.
Pros and Cons
Taste Lab
Pros:
- Provides deep, structured design insights from any URL
- Integrates seamlessly with multiple AI coding tools
- Outputs both human-readable markdown and machine-readable JSON
- Open-source and free to use
- Includes rigorous quality gate to filter noise
Cons:
- Requires technical setup (git, Playwright, MCP)
- Limited to design analysis only, no content or business output
- No community, learning, or monetization features
Decker
Pros:
- All-in-one platform for creating high-stakes business deliverables
- Monetization path for expertise and deliverables
- Expert support and operator-led workflows
- Editable PPTX output for decks and memos
- Targeted at mid-senior professionals with practical use cases
Cons:
- Still in beta; some features (Learn, Belong) not yet available
- Focused on consulting/finance; less useful for other industries
- May require learning curve for AI agent direction vs simple prompting
Verdict
Choose Taste Lab if you need to reverse-engineer and replicate a website's design system for your AI agent — it's free, open-source, and deeply technical. Choose Decker if you're a consultant or finance professional who needs to produce polished deliverables quickly and wants to monetize your expertise. They serve completely different needs: one is a design analysis tool, the other is a business productivity and monetization platform.
Decker
Taste Lab