How to Design a Loop That Automatically Prompts Your AI Agent: A Complete Guide Have you ever found yourself going back and forth with an AI? You ask it to write code. It gives you something. You run it. It fails. You paste the error back. It fixes one thing but breaks another. You paste again. A few rounds later, you’re exhausted, and the clock has moved way too far. That back-and-forth can be fully automated. Let me show you how to build a loop that prompts your agent over and over, on its own, until the job is done. …
Harness Engineering: The Engineering Practice That Makes AI Coding Actually Work If you’ve tried using AI to build software, you’ve probably experienced this: the model writes code that looks perfect but fails when you run it. Or it forgets key constraints halfway through a feature. You tweak the prompt, change the model, or add more examples, yet the results remain inconsistent. The bottleneck is rarely the model itself. The real breakthrough comes from how you set up the environment, workflow, and guardrails around the model. This is what we call Harness Engineering. What Is Harness Engineering? Harness Engineering is the …
Hermes Agent: When Tools Gain Time, They’re No Longer Just Tools Core question of this section: Why is Hermes Agent not just another chatbot, but a digital work entity that accumulates experience over time and grows with you? After migrating from OpenClaw to Hermes Agent, I gradually realized: what truly matters isn’t whether an Agent can call tools, but whether it can accumulate experience over time, refine its methods, internalize preferences, and ultimately become your long‑term cognitive extension. If we interpret “the 2026 Agent competition era” as simply “better models, smoother UIs, more tools,” we’re only scratching the surface. What’s …