The Day the Skeptic Blinked

Kenton Varda, a Cloudflare engineer who was skeptical of AI, tested Claude by building an OAuth library. The code was surprisingly good, leading him to realize the power isn't in AI replacing humans, but in the combination of AI speed and human expertise.

HUMANOPINION

The Agent is The Loop

The llm-loop-plugin gives Simon Willison's LLM CLI the ability to loop and iterate autonomously. Instead of being a bottleneck feeding prompts one by one, you can set a goal and watch it work file by file until complete. The magic isn't in the AI model—it's in the loop.

HUMANINSIGHTAITOOLS
Thought

Hear me out: “Adversarial Pair Coding with AI Agents” — feels nice, keeps me in the flow and — velocity is immense!

+----------------------------+
|        Coder Agent        |
| - Generates Code          |
| - Learns patterns         |
| - Optimizes logic         |
+----------------------------+
             |
+----------------------------+
|   Shared Understanding     |
| - Language rules           |
| - Functional goals         |
| - Iterative improvement    |
+----------------------------+
             |
+----------------------------+
|     Adversary Agent       |
| - Finds bugs              |
| - Suggests attacks        |
| - Tests edge cases        |
+----------------------------+
FREE IDEA!
product

AI Agents Dashboard

A web UI for deploying and managing AI agents in containers

Simplify AI operations with AI Agents Dashboard—a single web interface that combines container-use, Coder AgentAPI, and Claude. Launch a primary agent instance from the dashboard, which then spins up additional isolated agent environments in containers. Monitor resource usage, health, and logs in real time, and start, stop, or scale any agent without using the command line.

“Orchestrate AI at scale, one container at a time.”

Target market: DevOps teams, AI researchers, and software engineers who need an easy way to deploy, observe, and control multiple Claude agents within containerized workflows.

Imagine the possibilities

When AI Does Research: An End-to-End Experiment

AI agents can now handle end-to-end research workflows--from conceiving studies to final publication. This experiment revealed that SOTA models excel at research thinking, full reproducibility becomes trivial, and human time can finally be redistributed to the most valuable parts: thinking and doing better.

HUMANEXPERIENCEAIRESEARCH

The Amplification of Bottlenecks

AI doesn't just make work faster--it amplifies hidden constraints. At Anthropic, eliminating coding bottlenecks revealed decision-making, integration, and context as the real limitations. Every breakthrough follows this pattern: solve one constraint, amplify the next.

HUMANINSIGHTAISYSTEMS
Now

Personal Website CMS, Current Focus, Daily Routine

read where my mind is now →

How AI Agents Are Reshaping Creation

Today's AI agents excel at computer operation and research, maintain coherence for hours, favor curious problem-solvers over technical experts, and are democratizing software creation while challenging traditional employment models.

SLOPAIAGENTS