We’re planning upcoming live sessions and want to make sure it’s focused on what you want most. - What topic would you like us to cover? - Drop real use cases — we may build around them. 👉 We’ll run sessions on the top 2 choices first.

✨ The AI Quirk: You give AI a clear instruction at the start of a prompt… but the response seems to ignore it completely. Even stranger, if you repeat the instruction later in the prompt, suddenly the AI follows it perfectly. ✨ What’s Going On: - Large language models weigh instructions "based on proximity and clarity" within the prompt. - Instructions buried early in a long message can lose influence once the model begins predicting the response. - The model often prioritizes "the most recent instruction signals" it sees. - If a prompt contains mixed signals (examples, context, and instructions together), the model may treat the first instruction as "background instead of a rule". Example: You start with: 1) Write this in bullet points. 2) Then provide a long paragraph of context. The model may treat the context as the main task and default to paragraphs. But if you end the prompt with: “Use bullet points for the final answer”, the output suddenly follows the rule. ✨ What To Do If You See It: - Place "critical instructions at the end of the prompt". - Separate instructions from context using spacing or labels. - Repeat important constraints when precision matters. Try this prompt: “Using the context above, produce the final answer in bullet points only.” ✨ Why This Happens: AI isn’t reading instructions like a human would. It’s predicting the next most likely text — and "AI tends to pay the most attention to the instructions it sees last." ✨ AI Bits & Pieces — helping people and businesses adopt AI with confidence.

I’ve been cruising along lately, just loving life with Claude Code, but I recently got absolutely humbled by Cowork. I’ve actually made up a new acronym for the event: WTT. The reality is, I’m not quite productive enough on Code yet to justify dropping $100 or $200 a month in tokens. So, I’ve been managing my token "allowance" like a kid who gets $5 a week when candy bars cost $2. Everything was going great until a buddy asked me to show him the ropes on Cowork. Being confident (and perhaps a bit too proud), I said, "Sure!" I didn't mention I’d never actually run this specific workflow before. I figured—how hard can it be? I set up a scheduled task to roll through my Gmail account and give me a daily briefing. Awesome. Easy. Total "Pro" move. So, I’m showing off, doing this very impressive demo for him, and I hit "Run Now." I’m leaning back, like: "Look, you can see it thinking... it’s reading the email, producing the brief, preparing the summary..." DONK. 💥 OUT OF TOKENS! WTT (What the Token?!) And then it hits me: I cannot Code. I cannot Chat. I cannot Cowork. #WTT Thinking on my feet, I started to explain, "You see, managing tokens is just a sophisticated part of the LLM lifestyle," all while seething under the covers. So, that was yesterday. I decided to shrug it off, tough it out, and wait for the rolling reset while I slept. ☀️ The next morning, I was all fired up to get back into Claude Code to build my slick new app. I sat down, opened the terminal, and... DONK. 💥 OUT OF TOKENS! #WTT Then It hit me... 🤖 Claude Cowork had woken up before I did. It chewed through my entire brand-new allowance of tokens just before I was all fired up to "Claude Code.". I cannot Code. I cannot Chat. I cannot Cowork. #WTT The ultimate irony? I couldn’t even grammar-check this post in Claude. I had to go over and do it in Gemini! LOL. #WTT @Matthew Sutherland @Nick Mohler @Usman Mohammed @John Romano