Explore Daniel R. Odio’s writing, videos, lessons, and shipped work about AI/ML.
18 items
You've probably skipped writing PRDs and jumped straight to prompting — this shows you why that's been causing your builds to go sideways, and introduces Chief, a tool that structures your vibe coding so you stop getting stuck mid-project.
You're probably spinning up parallel agents to go faster, but today's collisions — duplicate work and a repo-blocking 170MB file — show exactly how that speed becomes a coordination nightmare you have to untangle.
You've probably hit that wall where your AI solution worked perfectly in testing but failed mysteriously in production—that's jagged intelligence biting you. This breaks down the four zones where AI is superhuman versus subhuman, so you can stop getting blindsided by its weird failure modes.
You've hit that wall where the AI did the work but you're not sure if you can claim it—this walks you through how slide rule engineers, typists, and architects faced the same crisis and realized the tool wasn't doing their job, just the tedious parts. You'll stop second-guessing whether you're 'really' building.
You've dabbled in quantum computing concepts and thrown around words like 'superposition,' but you've never connected them to why consciousness feels so slippery to pin down. This article walks you through the actual measurement problem physicists still can't solve and shows you how your brain might be doing quantum-to-classical translation—a mental model that'll change how you think about both AI and your own awareness.
You've probably tried to turn engineering work into marketing content and ended up with either jargon soup or watered-down fluff. This shows you the exact prompts and workflow to extract authentic stories from Linear tickets without needing to decode what the engineers actually did.
You've shipped AI features that users love, but this article exposes the blind spot in your engagement metrics: you might be building digital cotton candy that feels like care but atrophies the human skills your users actually need. It's the mistake you won't catch in your analytics.
You're probably approving PRs you don't fully understand or avoiding them entirely out of fear—here's how to use AI as a safety net that catches issues you'd miss while keeping your team unblocked.
You've shipped a few AI-generated features but keep hitting walls you can't debug your way out of. This breaks down why that whack-a-mole feeling is universal right now and what's coming next that will either save you or bury you if you don't adapt.
You're probably prototyping in Figma and calling it 'technical enough' — this shows you how to skip straight to functional code you can hand to engineers as a pull request. You'll learn why ping-ponging between Cursor and Windsurf gets you unstuck faster than grinding alone in one tool.
You've probably tried to read a prospectus before and given up halfway through the jargon — this shows you how to use Storytell.ai to extract the actual decision-making insights (fees, risks, turnover) without drowning in legalese. You'll see how to compare three AI ETFs side-by-side and spot the gotchas (like IGPT's 190% turnover rate) that could cost you money.
You've dabbled with ChatGPT but haven't built it into your actual workflow, and now you're wondering if you're behind. This lays out a concrete self-assessment for executives: how AI-curious you need to be to stay competitive, and why 'productivity creates prosperity' means the real risk isn't AI taking your job — it's someone else using AI better than you.
You've probably tried automating reviews before and ended up with generic slop that guests ignore—this shows you how to use context from the actual Airbnb page plus a pre-stay survey to generate drafts so specific (mentioning Brex, AWS, backyard docks) that guests actually post them verbatim. The trick is the Chrome extension reading page content, not just prompting into the void.
You've probably set goals that felt inspiring but didn't translate into daily decisions. This breaks down how Storytell uses Vision/Mission/Strategy to align every choice — and introduces the North Star Metric that tells you if you're actually making progress or just spinning your wheels.
You've heard 'data is the new oil' a thousand times, but this breaks down the actual reinforcing cycle: better product → more data → better models → better product. You'll see why your half-finished dashboards aren't enough—you need the DevOps chops to act on data fast, or you're just hoarding spreadsheets.
You think digital transformation means adding an app or a website, but this breaks down why Kodak—who literally invented the digital camera—still went bankrupt. Amazon's Whole Foods play shows how software-first companies use one business to fund scorched-earth dominance in another, and your half-baked digital initiatives won't save you from that.
You think you're good at setting ambitious goals, but Elon reveals how he works backwards from 'the headline' to prioritized actions — a framework that might expose why your roadmaps keep falling apart. You'll also catch his shifting timelines on self-driving cars as proof that even experts recalibrate constantly when reality punches back.
You're probably chasing ideas that sound good but are actually too obvious to win big. This framework shows you how to spot the counter-intuitive opportunities that look like bad ideas but aren't — and more importantly, how to know when to dump a real bad idea before you waste months on it.
You've probably skipped writing PRDs and jumped straight to prompting — this shows you why that's been causing your builds to go sideways, and introduces Chief, a tool that structures your vibe coding so you stop getting stuck mid-project.
You're probably spinning up parallel agents to go faster, but today's collisions — duplicate work and a repo-blocking 170MB file — show exactly how that speed becomes a coordination nightmare you have to untangle.
You've probably hit that wall where your AI solution worked perfectly in testing but failed mysteriously in production—that's jagged intelligence biting you. This breaks down the four zones where AI is superhuman versus subhuman, so you can stop getting blindsided by its weird failure modes.
You've hit that wall where the AI did the work but you're not sure if you can claim it—this walks you through how slide rule engineers, typists, and architects faced the same crisis and realized the tool wasn't doing their job, just the tedious parts. You'll stop second-guessing whether you're 'really' building.
You've dabbled in quantum computing concepts and thrown around words like 'superposition,' but you've never connected them to why consciousness feels so slippery to pin down. This article walks you through the actual measurement problem physicists still can't solve and shows you how your brain might be doing quantum-to-classical translation—a mental model that'll change how you think about both AI and your own awareness.
You've probably tried to turn engineering work into marketing content and ended up with either jargon soup or watered-down fluff. This shows you the exact prompts and workflow to extract authentic stories from Linear tickets without needing to decode what the engineers actually did.
You've shipped AI features that users love, but this article exposes the blind spot in your engagement metrics: you might be building digital cotton candy that feels like care but atrophies the human skills your users actually need. It's the mistake you won't catch in your analytics.
You're probably approving PRs you don't fully understand or avoiding them entirely out of fear—here's how to use AI as a safety net that catches issues you'd miss while keeping your team unblocked.
You've shipped a few AI-generated features but keep hitting walls you can't debug your way out of. This breaks down why that whack-a-mole feeling is universal right now and what's coming next that will either save you or bury you if you don't adapt.
You're probably prototyping in Figma and calling it 'technical enough' — this shows you how to skip straight to functional code you can hand to engineers as a pull request. You'll learn why ping-ponging between Cursor and Windsurf gets you unstuck faster than grinding alone in one tool.
You've probably tried to read a prospectus before and given up halfway through the jargon — this shows you how to use Storytell.ai to extract the actual decision-making insights (fees, risks, turnover) without drowning in legalese. You'll see how to compare three AI ETFs side-by-side and spot the gotchas (like IGPT's 190% turnover rate) that could cost you money.
You've dabbled with ChatGPT but haven't built it into your actual workflow, and now you're wondering if you're behind. This lays out a concrete self-assessment for executives: how AI-curious you need to be to stay competitive, and why 'productivity creates prosperity' means the real risk isn't AI taking your job — it's someone else using AI better than you.
You've probably tried automating reviews before and ended up with generic slop that guests ignore—this shows you how to use context from the actual Airbnb page plus a pre-stay survey to generate drafts so specific (mentioning Brex, AWS, backyard docks) that guests actually post them verbatim. The trick is the Chrome extension reading page content, not just prompting into the void.
You've probably set goals that felt inspiring but didn't translate into daily decisions. This breaks down how Storytell uses Vision/Mission/Strategy to align every choice — and introduces the North Star Metric that tells you if you're actually making progress or just spinning your wheels.
You've heard 'data is the new oil' a thousand times, but this breaks down the actual reinforcing cycle: better product → more data → better models → better product. You'll see why your half-finished dashboards aren't enough—you need the DevOps chops to act on data fast, or you're just hoarding spreadsheets.
You think digital transformation means adding an app or a website, but this breaks down why Kodak—who literally invented the digital camera—still went bankrupt. Amazon's Whole Foods play shows how software-first companies use one business to fund scorched-earth dominance in another, and your half-baked digital initiatives won't save you from that.
You think you're good at setting ambitious goals, but Elon reveals how he works backwards from 'the headline' to prioritized actions — a framework that might expose why your roadmaps keep falling apart. You'll also catch his shifting timelines on self-driving cars as proof that even experts recalibrate constantly when reality punches back.
You're probably chasing ideas that sound good but are actually too obvious to win big. This framework shows you how to spot the counter-intuitive opportunities that look like bad ideas but aren't — and more importantly, how to know when to dump a real bad idea before you waste months on it.