Ai

Memory gives an AI agent a past, but an agenda of durable goals and promises gives it a future worth acting on.

Vector search is great, but it only goes so far. I benchmarked several ways to improve relevance with surprising results.

The tech industry went from tokenmaxxing to agentmaxxing, which is arguably worse. Here's why.

So much of agent traffic is repetitive. By adding in caching layers, you can both improve your user experience and decrease your bills in one fell swoop.

I built an AI agent with its own identity, MFA, and scoped credentials. It's still not safe. Here's why local is the wrong place to run it.

AI agents often run with more access than they should. Here's how moving to session-based identity changed how I design and trust autonomous systems.

"Do as I say, not as I do" applies hard with MCP. We talk a lot about the problems and not enough about practical solutions. The comic is a nudge to shift from critique to construction.

Multi-agent collaboration sounds great in theory, but the game of telephone between agents can produce unpredictable results. The comic is a reminder to design clear roles, shared context, and guardrails.

Why trust—not hype—will determine the future of AI tools. Without authority, adoption stalls. Here's what we need to move forward.

Learn how to track tool usage, success rates, and latency in your MCP server using Kestra workflows, Momento Cache, and the Postman visualizer—no backend code required.