Daily notes on AI, learning, and building a practice — one post at a time.
AI has made execution faster and cheaper, but figuring out which problem is actually worth solving is still on you. Learn three simple questions to identify which business process is genuinely worth automating.
Those AI subscriptions you signed up for and forgot about aren't a sign of carelessness — they're a sign you chose the tool before you defined the problem. Four key questions to ask before any automation, so you know it's actually worth it.
Prompt writing matters — but it's not enough. The real skill in using AI professionally is knowing when to trust the output, when to question it, and when not to use it at all.
If you tried AI once and walked away disappointed, the problem probably wasn't the tool. Here's why most first experiences with AI fall flat — and how to start in a way that actually works.
OpenAI is shifting from a standalone tool to an infrastructure layer inside the everyday tools you already use — like Notion and HubSpot. Before that wave hits, you need to know which repetitive task is eating most of your time.
If AI outputs always feel generic and off-target, the tool isn't the problem — the way you're asking is. Learn a simple three-part framework for writing prompts that actually get you useful results.
ChatGPT can fabricate information with complete confidence — and you can't tell from its tone. Here's how to evaluate AI output more intelligently using three simple questions.
Signing up for AI tools isn't enough on its own — the real challenge for small businesses is not knowing where to start. Before any tool, you need to know which repetitive process is eating most of your time.
