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Everyone’s excited about AI. Plenty are scared. Almost nobody admits the third feeling: we’re lost. There’s no map for what’s coming, only a compass. This is the one I use. Last year I wrote myself a note at 2am. On my phone, in the dark, after a day that had left me excited and scared… Continue reading Scared, excited, and lost: a compass for the future of work

AI agents are easy to demo and surprisingly easy to make useful. The harder question is what happens after the demo, when the agent starts learning your environment, writing reusable skills, and quietly changing the way future work gets done. I have been using Hermes Agent as a practical DevOps assistant, not as a toy… Continue reading Running Hermes Agent skills like DevOps infrastructure with GitLab

If you’re already using AI agents for development, you’ve probably felt this: the code works, but the codebase slowly gets harder to follow. Patterns drift. Something looks fine in review and turns out to have a bug two weeks later. The agent did what you asked – mostly – but not exactly how you would… Continue reading Keeping code quality high with AI agents

Most conversations about AI agents focus on developers, but PMs are adopting them too, and the progression looks different. Based on my experience building AI workflows into my PM practice, here’s a framework of 10 levels, from asking ChatGPT questions to orchestrating entire product delivery pipelines.