Stop Fighting About LLMs and Start Matching Models
Months of testing proves the “best” LLM doesn’t exist. Real skill is matching the right model to the task – and most people waste time arguing instead of learning.
Months of testing proves the “best” LLM doesn’t exist. Real skill is matching the right model to the task – and most people waste time arguing instead of learning.
Testing different LLMs for coding taught me this: the model matters less than knowing how to break down problems and write specific prompts. Claude explains, GPT-5 generates, Copilot flows.
Successful businessman has everything, feels like total failure. Turns out legacy isn’t what happens after you die – it’s what you do today. That’ll mess with your head.
Small daily choices matter more than grand gestures. Thank you notes, reusable bottles, less meat – regular people making tiny shifts create lasting change.
Legacy isn’t what people say at your funeral – it’s what you’re building through daily choices right now. This book tears apart everything you think matters.
You don’t need a grand plan to make things better. Small actions – the thank you note, the conversation, the reusable bag – add up to actual change. Plus they make your life less hollow.
Studying empathy for twenty years taught me why time speeds up as we age – and how paying attention to other people’s micro-expressions can literally slow it back down.
A book that reframes failure as growth invitations you can’t decline and argues your weirdness is actually your biggest asset – not the fluffy self-help you’d expect.
Gratitude doesn’t just make you feel good – it rewires your brain to see people differently. Three practices turn appreciation into genuine empathy and kindness.
Writing thank-you notes rewired my brain in an unexpected way – gratitude and empathy feed each other, creating an upward spiral that literally changes how we connect.
You can actually change how you experience time – not by doing more, but by slowing down inside through presence and cognitive empathy to make life feel less chaotic.
Ever feel like time is slipping away? Discover how cognitive empathy doesn’t just help you understand others – it actually slows down time and makes you present.
After 30+ years in code and 8 years in AI, here’s the difference between getting stuck and getting results: knowing when to iterate vs when to start fresh.
After 30 years of coding, I finally figured out the real AI skill that matters: breaking problems into pieces AI can handle, not chasing the latest tools or models.
After 30+ years coding and 8 years in AI, I’ve learned everyone focuses on which LLM is best, but misses what really matters: knowing how to talk to it properly.
30+ years of coding taught me this about AI prompts: it’s not about finding the “perfect” prompt, it’s knowing when to iterate vs start over completely.
Most people prompt AI once and hope for the best. The real skill is knowing when to refine versus when to scrap everything and start over.
After 30 years coding and 8 years in AI, I learned the key skill isn’t perfect prompts – it’s knowing when to keep tweaking vs starting fresh. Break prompts into pieces.
Stop asking AI giant messy questions and expecting clean answers. Break problems into small chunks first, then prompt each piece separately. 30+ year coder shares the one technique that made AI actually useful for real work.
You know that feeling when anger takes over and you say something you can’t take back? Here’s a four-step method to shift from reactivity to clarity.
Most developers struggle with AI coding tools while others dominate. After 30 years coding, I found it’s not about the smartest model – it’s how you use them.
Know when to tweak your AI prompts vs starting fresh? I treat prompt engineering like software development – iterate when you’re close, reboot when the foundation is broken.
After 8 years with AI, I’ve learned the secret isn’t perfect prompts – it’s iteration. Treat each response as feedback, refine your approach, and know when to start over.
After 8 years with AI, I finally figured out why some people get great results while others just get frustrated: they’re trying to solve everything at once instead of breaking it down.
Breaking complex coding problems into smaller chunks gets better AI results than fancy prompts. After 30+ years coding, I’ve learned the real skill is decomposition, not prompt engineering.
After 30 years coding and 8 in AI, I learned there’s no “best” coding assistant – just the right match for your task. Context matters more than capabilities, and mastering how you work with AI beats picking the fanciest tool.
Knowing when to iterate a prompt versus starting over mirrors debugging versus refactoring code. I break down the exact signals that tell you which path to take.
After 30 years coding and 8 in AI, I’ve found one skill that changes everything: breaking problems into clean chunks before asking AI for help. Most people skip this step and wonder why their results are messy.
I discovered gratitude isn’t something you feel – it’s something you build. My Practical Empathy Practice starts with understanding what I actually need, then extends that same awareness to others.
I thought gratitude just happened naturally until life got messy. Turns out you can actually grow it on purpose by tuning into feelings and values – yours and others. Here’s how it works.
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