Feb 3, 2026 - 6 minute read

Operate Before You Automate

Everyone building AI workflows wants to flip the switch and let it run. Most of them will regret it. The rush to full automation skips a phase that cannot be skipped—the phase where you, the human, operate the workflow yourself. Not just test it. Not just watch it once. Actually run it, trigger it, review its outputs, and make the final calls. This manual phase isn’t a bottleneck to eliminate. It’s the forge that produces reliable automation.

Jan 28, 2026 - 4 minute read

Your Agent's IQ Matches Your Context

Everyone wants AI agents to do work for them. Most people are disappointed by the results. The problem isn’t the model—it’s the blindfold. Your agent is only as intelligent as the context you provide. If your knowledge lives in your head, your processes exist as tribal memory, and your data sits in disconnected silos, the agent operates blind. Give it full visibility, and watch a mediocre tool become a genius collaborator.

Jan 26, 2026 - 5 minute read

Close the Loop -> BRRRR

An AI agent that can’t verify its own work is just a suggestion engine. It proposes changes, you test them, you report back, it adjusts, you test again. The human becomes the sensor, the feedback mechanism, the bottleneck. But when you give an agent the ability to close the loop—to execute, observe, and iterate autonomously—the whole system transforms. That’s when it goes BRRRR.

Jan 23, 2026 - 4 minute read

Agentic Shells Are the New Application Layer

In 2025, AI applications came in two flavors: automation pipelines stitching together triggers and actions, or ordinary code making HTTP calls to an LLM API. Both approaches worked. Neither captured what agents actually need. Now in 2026, a new pattern has emerged—the Agentic Shell—and it’s fundamentally reshaping how we build AI-powered software.