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    1. Home
    2. Tools
    3. PAUL
    PAUL icon

    PAUL

    AI Coding Assistants

    PAUL (Plan-Apply-Unify Loop) is a structured AI-assisted development framework for Claude Code that enforces loop integrity, in-session context management, and acceptance-driven development.

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    At a Glance

    Pricing
    Open Source

    Fully free and open-source under the MIT License. Install via npx and use without restrictions.

    Engagement

    Available On

    Windows
    macOS
    Linux
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    AI Coding AssistantsAgent FrameworksWorkflow Automation

    Alternatives

    GitStartCompyleUnpack
    Developer
    Chris KahlerChris Kahler builds AI-assisted development tools under the…

    Listed May 2026

    About PAUL

    PAUL (Plan-Apply-Unify Loop) is an open-source CLI framework that brings structured, reliable AI-assisted development to Claude Code. It solves "context rot" — the quality degradation that happens as AI sessions fill up — by enforcing a strict Plan → Apply → Unify loop with mandatory closure on every unit of work. PAUL supports not just software development but also marketing campaigns, funnel builds, email sequences, and automation workflows.

    • Plan-Apply-Unify Loop — Every plan must be closed with UNIFY, which reconciles what was planned vs. what happened, updates STATE.md, and logs decisions — no orphan plans.
    • Acceptance-Driven Development (A.D.D.) — Define acceptance criteria in BDD format (Given/When/Then) before tasks begin; every task references its AC and requires a verify step.
    • Scope-Adaptive Planning — Auto-routes plans into quick-fix (1 task), standard (2–5 tasks), or complex (6+ tasks) tiers with appropriate ceremony for each.
    • Execute/Qualify Loop — Each task in APPLY is independently verified against the spec and linked AC after execution, catching drift and false completions before they compound.
    • Escalation Statuses — Tasks report DONE, DONE_WITH_CONCERNS, NEEDS_CONTEXT, or BLOCKED instead of binary pass/fail, surfacing uncertainty honestly.
    • Diagnostic Failure Routing — Classifies failures as intent, spec, or code issues before attempting fixes, preventing the common mistake of patching code when the plan itself was wrong.
    • Coherence Validation — Plans are automatically checked against PROJECT.md, STATE.md, recent file changes, and ROADMAP.md before approval.
    • Session Continuity — STATE.md tracks loop position, decisions, and blockers; /paul:resume reads state and suggests exactly one next action after any break.
    • CARL Integration — Works with CARL (Context Augmentation & Reinforcement Layer) for dynamic, just-in-time rule injection — keeping context lean without static prompt bloat.
    • 26 Commands — Organized into Core Loop, Session, Roadmap, Milestone, Pre-Planning, Research, Specialized, and Quality categories; run /paul:help for the full reference.
    • Install in seconds — Run npx paul-framework and choose global (~/.claude/) or local (./.claude/) installation; verify with /paul:help inside Claude Code.
    PAUL - 1

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    Pricing

    OPEN SOURCE

    Open Source (MIT)

    Fully free and open-source under the MIT License. Install via npx and use without restrictions.

    • All 26 slash commands
    • Plan-Apply-Unify loop
    • Acceptance-Driven Development
    • Session state management
    • CARL integration

    Capabilities

    Key Features

    • Plan-Apply-Unify loop enforcement
    • Acceptance-Driven Development (BDD format)
    • Scope-adaptive planning (quick-fix, standard, complex)
    • Execute/Qualify loop per task
    • Escalation statuses (DONE, DONE_WITH_CONCERNS, NEEDS_CONTEXT, BLOCKED)
    • Diagnostic failure routing
    • Coherence validation before plan approval
    • Session continuity via STATE.md
    • 26 slash commands for Claude Code
    • CARL dynamic rule injection integration
    • Structured project state management
    • Milestone and roadmap management
    • Research agent deployment
    • Codebase mapping
    • Manual acceptance testing guidance

    Integrations

    Claude Code
    CARL (Context Augmentation & Reinforcement Layer)
    AEGIS
    BASE
    SEED
    Skillsmith
    SonarQube
    npm
    API Available
    View Docs

    Reviews & Ratings

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    Developer

    Chris Kahler

    Chris Kahler builds AI-assisted development tools under the Chris AI Systems brand on GitHub. He creates structured frameworks — including PAUL, CARL, AEGIS, BASE, SEED, and Skillsmith — that make Claude Code more reliable and production-ready. His work focuses on loop integrity, context management, and acceptance-driven workflows for builders shipping software, campaigns, and automations with AI.

    Read more about Chris Kahler
    WebsiteGitHub
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