7/ A bad carpenter blames their tools. A bad prompter blames AI. Same energy. AI lowered the floor AND raised the ceiling. Your job is to operate at the ceiling. Context is the product. The model is just the delivery mechanism.
1/ "AI slop" is the laziest criticism in tech right now. Bad inputs made bad outputs long before AI existed. The variable was always the operator. Not the tool. Here's the slop test nobody wants to take:
💡 WHY THIS WORKS: Tweet 1 leads with scale (73 recordings, 60 hours) to earn attention before explaining the process. The specifics in tweet 5 (2 to 46 citations, 17K contacts) are the trust signals — they prove this isn't theoretical.
6/ If you use Fathom, Otter, or any meeting recorder — you have a corpus of your own professional behavior sitting unused. The gap isn't data. It's extraction and structure. One afternoon. Three documents. Four months of work, organized.
1/ I had 73 Fathom recordings sitting in my inbox. 4 months. ~60 hours of decision-making, task delegation, and strategy debates. None of it searchable. None of it structured. I automated the extraction. Here's what came out:
11/ Most people treat AI like Google. Type → hope → copy. The engineers treating it like a system they can configure? They're building 10x faster. Which term surprised you most? Drop it below 👇
1/ You're using AI in your code every day. But do you actually know what's happening under the hood? Here are 10 terms that separate AI users from AI engineers:
