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PCL (Persona Control Language) is a governance-first programming language for AI persona management and multi-agent orchestration. Unlike traditional application languages, PCL is designed for accountability, security, and compliance in AI systems.

PCL = Terraform + OpenPolicyAgent + AI Personas

PCL enables enterprises and developers to:

• Define personas with explicit capabilities, constraints, and risk classifications (ISO 42001)
• Govern AI behavior through auditable policies and access controls (ISO 27001)
• Orchestrate complex multi-agent workflows with human oversight
• Deploy consistently across Claude, GPT, Gemini, Azure, and open-source LLMs
• Audit every action with immutable logs aligned to compliance frameworks
• Comply with EU AI Act, GDPR, OWASP LLM Top 10, and Zero Trust principles

Why PCL Exists

Traditional AI development lacks:

✗ Accountability – Who made what decision?

✗ Portability – Vendor lock-in

✗ Security – No defense against prompt injection, excessive agency

✗ Compliance – ISO, EU AI Act, OWASP alignment

✗ Governance – No clear policy enforcement

PCL solves this by treating AI personas as governed entities, not just code.

> 📖 New User? Read the [Getting Started Guide (Current Features)](docs/guides/GETTING-STARTED-CURRENT.md) for a practical, working introduction to PCL's implemented features.

What PCL can do right now (Phases 1 & 2.1 & 2.2 Complete):

Core Language (Phase 1) ✅

• ✅ Parse PCL files to AST
• ✅ Type checking and semantic analysis
• ✅ Runtime with 3 LLM providers (Mock, Claude, OpenAI)
• ✅ Registry system with 4 backends (Memory, JSON File, SQLite, PostgreSQL)
• ✅ Full-text search with filters
• ✅ CLI with 7 registry commands
• ✅ Expression evaluator

IDE Support (Phase 2.1) ✅ **NEW!**

• ✅ Full Language Server Protocol (LSP) implementation
• ✅ VSCode extension with syntax highlighting
• ✅ Real-time diagnostics and error detection
• ✅ IntelliSense auto-co