Behavioral programming aligns with how reinforcement learning agents reason about the world:

• Stories as world model — Stories define valid UI states and transitions, serving as ground truth for both testing and agent training
• Runtime constraints — bThreads block invalid actions before they execute, providing symbolic guardrails for neural generation
• Natural reward signals — Story pass/fail + accessibility checks = clear training signal

This architecture enables the World Agent—a neuro-symbolic system where a neural policy proposes actions and behavioral constraints ensure correctness.

The vertical integration is reflected in the package structure:

import { useBehavioral, useSignal } from 'plaited'
import { bElement, createStyles } from 'plaited/ui'
import { story } from 'plaited/testing'

CLI (requires Bun):

• bun plaited dev — Start dev server with story browser
• bun plaited test — Run story-based tests with Playwright

The Workshop plugin teaches your AI coding agent how to build with Plaited:

What it enables:

• Generate templates, styles, and stories from descriptions
• Scaffold design tokens and behavioral elements
• Run tests with visual feedback (screenshots, videos)
• Validate accessibility automatically
• Train custom UI generation agents

How it works:

• Skills auto-activate based on what you're doing
• AI learns your project's patterns from existing code
• Type verification catches errors before you run

Commands:

• /validate-skill — Validate skill directories
• /create-web-patterns-skill — Extract patterns from articles
• /create-design-system-skill — Document your design system

For full development (CLI, workshop, testing):

• Bun >= v1.2.9

For core package only:

• Node.js >= v22.6.0 (with --experimental-strip-types)
• Or Bun >= v1.2.9