You can do anything you want, just not all at once. Having a good scope helps you clarify what's in the project, what's out of the project, and what it's worth to you when it's complete. The situation of the scope - where you find yourself, the direction you're facing, the destination that has your focus - these are best clarified using the Jobs-To-Be-Done formula. The Buyer’s Real ReasonJobs To Be Done is a strategy framework for understanding why people buy, use, switch, or abandon products. The core idea is that people don’t buy products. They “hire” products to make progress in a specific situation. By applying this framework to AI agents (whom you "hire" to accomplish something) you can identify what, specifically, transitions you from an initial state to a goal state, and why it matters. The basic formula goes like this (replace words in CAPS) - When I am SITUATION, I want to PROGRESS, so I can OUTCOME. 🤖 Managing Multiple AI agentsIf you can define the Job To Be Done for each agent (and subagent) you will move beyond random chaos, and into structured management. Managing AI agents is going to be a valuable skillset in an AI-powered future. My professional advice: hire a couple of agents to do regular tasks for you. Gain some experience. Practice. Fail. Learn. Grow. Ask yourself this one question: what is the job to be done? Here are some JTBD situations that can help inform your scope:
In an era of infinite intelligence, clarity of thinking becomes more valuable.
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Weekly newsletter highlighting the latest AI news, with short video tutorials and copy/paste prompts you can use to improve your skills as an AI operator. As artificial intelligence moves from optional to operational, technical specialists no longer have the advantage. It is those who can supervise and coach AI to improve that will thrive in an AI-augmented future.
💸 "AI Agents are a multi trillion dollar opportunity.” - Jensen Huang, CEO of NVIDIA Hello Reader, AI agents are changing the way work gets done. As agentic AI systems become more capable, our real advantage will not come from technical proficiency. Our advantage will come from knowing how to manage AI agents well. The ability to scope agentic projects, manage autonomous systems, evaluate their performance, and design the information environments that make agents effective - these are the...
↠↠ The velocity of learning has increased. ↠↠ Hello Reader, As part of TechWeekNZ, I hosted the EPIC AI Conference in Christchurch on Thursday, 21 May, 2026. There were a dozen speakers and panelists, and lots of practical takeaways. While we did record the sessions (big thanks to Daniel Panjaitan and Greg Dickson for volunteering!) it's a lot of material to digest. You can watch all the replays at this link: https://christchurch-ai.com/epic-ai-conference ...or, you can use NotebookLM to...
⚖️ “AI requires enormous judgment. Leadership requires enormous judgment.” — Alison Adams, Chief Executive of ChristchurchNZ Hello Reader, Last week at EPIC in Christchurch, I hosted a TechWeek panel on Leadership in the Age of AI with four local CEOs: Anya Anderson from RedSeed, Julie Ryan from CustomD, Ali Adams from ChristchurchNZ, and Brad Fraser from Agentic Intelligence. The conversation kept coming back to the human work of leadership: judgment, communication, trust, empathy, change...