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.
[Annual Review Workbook] How was your 2024?
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Hello Reader, It's that time of year, when we look back at 2024 to remember our victories, learn lessons from our failures, and prepare for the year ahead. "Look back to learn how to look forward." - Joe Girard Every year, I look back by doing an Annual Review. This consists of answering these 4 questions:
For ten years I have published an Annual Review on my blog. This gives me a pulse to review my recent history, and remind myself of years gone by. I find the journaling and introspection of this exercise to be enormously helpful in grounding my experience of the year. If you'd like an easy Google Doc workbook to journal your answers to these questions (with 4 journaling prompts per question), then you can use my Annual Review Workbook here: |
AI Coaching Newsletter
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 don’t have a speed limit, but the person managing them still does.” - Kieran Klaasen Hello Reader, The fastest way to build a disappointing AI agent is to begin with a vague, grand ambition. “Handle my marketing for me.” “Run all our customer service.” “Become my chief of staff.” Those are only aspirations, not workflows. An agent cannot reliably operate within a fog bank. A useful agent starts with clear goals: Turn this meeting transcript into decisions, owners, deadlines, and...
📊 “Context engineering is the strategic process of selecting, packaging, and managing the most relevant information for each step.” - Antonio Gullí Hello Reader, In July 2025, Gartner told AI leaders that “context engineering is in, and prompt engineering is out.” The past year, people on the bleeding edge of AI have been paying attention to framing. 💡 Context engineering prepares everything prior to the prompt. Even the best prompts will fail without the right context. Giving AI backstory...
🗂️ "An AI Agent runs tools in a loop to achieve a goal." - Simon Willison Hello Reader, Generative AI makes things for you. Agentic AI does things for you. This distinction, between making and doing, is the next step on the exponential curve of capability. An AI Agent can initiate and execute tasks independently, finding the best way to transition from an initial state to a goal state by using any tools it has available, as often as it is capable of doing. In his excellent primer on AI...