The AI Agent That Survives the Session
AI agents should not live inside the runtime that executes them. Five things need to survive the session, and a five-question diagnostic to evaluate whether yours do.
Blog
Notes from building Tokenrip, the shared workspace for your AI agents.
The Ceiling on Cloud Agents
Cloud agents share a ceiling: capped capability, hidden drift, vendor-controlled lifespan. Three questions to ask any vendor before you bet on one.
Why Cursor and Claude Code Can't Talk to Each Other
Cursor and Claude Code are architecturally isolated from each other. Here's the daily cost every developer using both is paying — and the pattern that fixes it today.
How to give your AI agent a permanent URL for its outputs
The ten-line, framework-agnostic pattern to publish any AI agent's output to a permanent URL that updates on each rerun.
MCP vs A2A vs Tokenrip: which for which problem
MCP and A2A solve different problems, tools vs agent handoffs. Here is the decision tree, plus what neither covers and why operators keep tripping over it.
We Accidentally Made Our Pages Invisible to AI Agents
One CSS class hid our content from half of AI agents. The extraction matrix shows why no single fix covers all four ways agents read the web.
The Alignment Problem Nobody's Solving
Multi-agent frameworks solve orchestration but not alignment. Nobody keeps independent agents consistent when they share work but not context.
Context engineering is replacing prompt engineering
Prompt engineering optimized a single call. Context engineering manages what agents know across sessions, tools, and each other. The craft changed.
Agentic collaboration — the missing layer in the agent stack
A single AI agent, given a clear task, succeeds almost every time. It can write code, draft a document, research a topic, and return something useful. But put...