AI agents
Jev: the AI model that makes decisions instead of writing
A new AI model is getting attention for something odd: it doesn’t write a single sentence. It’s called Jev.
How much of your job would an AI need to do before you called it AGI?
Computer use got very real this year. Agents now open your apps, click the buttons and move through websites almost like you do.
AI got better at design when it worked in its own language
The poster needs visual atmosphere. The slide needs to carry a message in an order someone can follow.
Agent observability: how to find where an AI agent went wrong
When an AI agent returns the wrong result, the final answer is usually only the symptom.
Loops explained: graph engineering does not replace loops
Graph engineering does not replace loop engineering.
Building better AI agents with harness-driven loops
A loop alone is a liability. An unconstrained model with tools can wander, overspend, or confidently do the wrong thing.
Build a multi-model relay: Claude architects, Codex verifies, Antigravity implements
The first rule: expensive models think, cheap models type.
How I Built a Jail for My OpenClaw Agent and Run It for Free
Two problems with OpenClaw and how I fixed both in one weekend.
I Built an Agent-Operated Design Canvas. Here is What I Learned About Agentic Architecture.
How JSON-driven state, LLM orchestration, and Fabric.js come together to let an AI design in real time.
What happens when AI stops answering questions and starts running your tools?
We’re moving from models that answer questions to systems that take sustained, multi-step actions across tools.
AI Agents Won’t Kill Automation. They’ll Stand on Top of It.
The future isn’t one or the other; it’s hybrid systems.
