Essays on human–AI interaction
Working notes on designing frontends for AI, published while the ink is still wet.
5 pieces
- 02Can LLMs Jump? A Beginner's Guide to JEPA and Multi-Modality World Models→Guide
Why LLMs can't make the creative leap from data to discovery, and how JEPA — Yann LeCun's world-model architecture — might finally close the gap between language models and real reasoning.
- 03Why Every Serious Agent Orchestrator Is Secretly a DAG→Essay
Inside the graph theory powering AI agent orchestration — how DAGs, topological sorting, and Kahn's algorithm enable parallel multi-agent execution, reliable agent-to-agent communication, and dynamic MCP server loading at scale.
- 04How I Make AI Handle the Boring Parts of Frontend — So I Could Focus on Real Engineering→Guide
Offload the repetitive chaos to AI-powered tools and MCP servers, and save your focus for the tasks that actually make you a better engineer.
- 05Anthropic Proved AI Thinks: The Frontend Architecture We Need to Watch It Happen→Essay
Exploring how modern frontend design can make an AI's hidden reasoning visible — turning abstract model introspection into human-understandable insight.
