AI text humanizer for prose, code & academic writing. 100+ patterns, two-pass audit, three-tier scoring, voice injection. Claude Code skill. No API calls — pure local pattern matching. The humanizer that studies how AI actually writes instead of swapping synonyms.

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

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

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

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

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

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

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

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

Minimal, Building Blocks for Large Language Models!

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.

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.

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

Practical prompt engineering frameworks, patterns, and examples