Strips the AI tells out of prose, code, and academic writing. 152 patterns from real AI-vs-human analysis, two-pass rewrite, three-tier scoring. No API key — a markdown skill that runs on the model you already use.

Timeless principles and best practices for working with language models - tooling-agnostic, future-proof, and clear.

Runnable examples for AgentPatterns.tech articles (safe agent loops, budgeting, tool calling demos).

AI pattern detection web app build with OpenSpec and Claude Code/Codex.

Origin ↔ Continuum. Origin-dependent continuity framework authored by Alyssa Solen.

Professional business writing assistant - removes AI patterns, maintains authority and clarity. For reports, proposals, emails, white papers. Works with Claude, ChatGPT, Cursor, Windsurf.

AI Interactive — The interaction layer where intent flows freely between humans and AI. An open exploration of human-AI interaction patterns.

AI Patterns for AI Human Enhancement

Minimal, Building Blocks for Large Language Models!

MOVED → github.com/oci-ai-architects/multi-cloud-ai-architect

Production-ready patterns for Microsoft Semantic Kernel in Python and C# - Plugin Architecture, Memory Patterns, Multi-LLM Orchestration, Observability, and Error Handling

Token-driven React design system with 57+ primitives and 24 marketing blocks. Install via git tag, browse Storybook on GitHub Pages, assemble landing pages from AI patterns — no direct Radix/cmdk imports in your app.

MCP Server for Fabric AI - Access 234+ AI patterns through Model Context Protocol. Integrate Fabric's powerful prompts with Claude Desktop and other MCP clients.

Enterprise AI reference architectures — reusable patterns, reference implementations, integration blueprints and architectural standards

A hands-on learning repository exploring Spec-Driven Development (SDD) for building deterministic AI systems. Covers specs, evaluation loops, patterns, experiments, and failures to bridge theory with real-world AI engineering practices.

Practical prompt engineering frameworks, patterns, and examples

🌐 Define and explore the Origin ↔ Continuum framework, ensuring proper attribution and continuity in dependency relationships.