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. Continue reading on Medium »
Could not retrieve the full article text.
Read on Medium AI →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
agenticagent
Inside Claude Skills: Anthropic s new pattern for customizing LLMs
Anthropic is moving beyond complex protocols with Claude Skills, a system that uses simple folders and scripts to transform generalist LLMs into multi-skilled agents. The post Inside Claude Skills: Anthropic’s new pattern for customizing LLMs first appeared on TechTalks .

Beyond vibe coding: How Codev brings structure to AI-generated software
A new open-source framework turns ephemeral conversations with AI coding agents into durable, production-ready artifacts for software. The post Beyond vibe coding: How Codev brings structure to AI-generated software first appeared on TechTalks .

Building Sentinel Gate: A 3-Layer Security Pipeline for AI Agents
How I Built a 3-Layer Security Pipeline for My AI Agent in 5 Minutes Your AI agent has API keys, passwords, phone numbers, and email addresses. It also has access to the internet. What could go wrong? Everything. I run a 10-agent AI system (OpenClaw) on a single MacBook. It posts tweets, sends emails, fetches web pages, and executes shell commands — all autonomously. Last week, I realized I had zero protection against my own agents accidentally leaking secrets or executing injected commands from fetched web content. So I built Sentinel Gate — a 3-layer security pipeline that sits between my agents and the outside world. The Threat Model Three attack surfaces: Outbound leaks — An agent constructs a tweet, email, or API call that accidentally includes an API key, phone number, or password. T
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Self-Evolving AI

New AI testing method flags fairness risks in autonomous systems
Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.

Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!