Building a Personal AI Agent with Markdown-Based Skills and Local Models
How a personal AI agent built on markdown skills lets a frontier model teach smaller, local models to do real work, without retraining.
Read the full articleYou might also wanna read

AI-First Content Management: Rethinking CMS vs Markdown for Agentic Applications
Do we still need a CMS in an AI-first world? A look into markdown, agents, and simpler content systems for building and managing agentic app
SkillsBench: A Benchmark for Evaluating AI Agent Skills Across Diverse Tasks
Agent Skills are structured packages of procedural knowledge that augment LLM agents at inference time. Despite rapid adoption, there is no
Building a Custom AI Agent That Answers Questions by Analyzing GitHub Code
A lightweight AI agent that answers questions about my work by reading actual code. Architecture, security, and model selection decisions.
Using Markdown as a Protocol for AI-Generated User Interfaces
An AI assistant that builds reactive UIs mid-conversation — forms, streaming data, callbacks — using markdown code fences and a mount() UI p
Scaling AI Agents Beyond Personal Use: The Power of Redis Iris
In the burgeoning field of AI, personal agents—those custom-tailored to individual needs and designed to manage a vast collection of markdow
Atomic: Self-Hosted Personal Knowledge Base with Semantic AI Connections
Self-hosted, semantically-connected personal knowledge base - kenforthewin/atomic

Comments
Sign in to join the conversation.
No comments yet. Be the first.