Articles
9 posts tagged "Agents"
Your Graph Should Not Be Inert
In 1986, an information scientist found a hidden medical connection nobody had made — not by running an experiment, but by linking two piles of research that never cited each other. I set out to build that same instinct into our knowledge graph. Then I got told I was 60 years late. Then 12. Here's what that taught me about why your second brain shouldn't just sit there.
What 'Loops to Graphs' Looks Like in Production: A Walkthrough of the Essay Everyone's Sharing
Carlos Perez's essay is the clearest map I've seen of where AI agent architecture is heading. Here's a walkthrough of it from inside a real production system — five agents on Mastra, seven days in — including the parts I got wrong along the way.
The Key to AI Adoption is Encoding Judgment
Most AI adoption stalls on a false choice: keep AI on a leash, checking every step, or let it run and hope. There's a third path — encoding your own judgment into the system so AI can run inside guardrails you built. Using a real example (surfacing partnership leads from LinkedIn), this post breaks down what it actually takes to turn instinct into a system.
I Created a Coding Harness Without Realizing It
I sat down to learn Mastra with my Claude Code habits and my Cloudflare opinions in my back pocket. A few agents and a workflow later, I'd accidentally built a full coding harness. Here are the seven rules I refused to bend — and what each one looks like in running, open-source code.
Your AI agents have one job each. Most builders give them four.
Most multi-agent systems fail for the same architectural reason: LLMs get wired into four positions when they only belong in three. Here's the rule that fixes it.
Most AI Agent Systems Are Built Backwards
Most developers treat the LLM as the agent. That's the mistake. The Jido Framework flips the model: the agent is the actor, the LLM is a tool it picks up when it needs to reason. Here's why that changes everything.
AI Context Failures: Nine Ways Your AI Agent Breaks
Your AI agent has the right data but still gets it wrong. Learn the nine ai context failures that break reasoning, not retrieval, and how to diagnose each one.
Make Context Loss Impossible
Every time Claude Code compacts, you feel it. That sinking moment when you realize half your project context just evaporated. The agent that was making brilliant connections five minutes ago now needs everything re-explained. Here's the thing: the good news is that Claude Code now clears context at the end of planning mode to give...
Most Multi-Agent AI Collaboration is Faking It.
I remember the first time I did a job interview with a panel. It was intense. Each person was reacting from their own perspective, looking from their own background, either nodding in agreement or tilting their head with a pending question. No one was waiting their turn. No one asked permission to observe. They were...
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