Explore Daniel R. Odio’s writing, videos, lessons, and shipped work about Storytell.
10 items
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'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'll discover why your instinct to 'build it right the first time' keeps getting you stuck — this CEO prototypes a van kitchen in cardboard, learns what he got wrong from actual use, and iterates twice before committing to wood. It's the recovery strategy you're missing when your code goes sideways.
You're probably confusing activity with impact and calling every shipped feature a 'win'—this framework shows you how to measure what actually matters and learn from the 90% of attempts that don't work out.
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're probably building too much before validating—this shows you how to catch failed ideas earlier by shipping prototypes instead of code, then actually measuring user reactions instead of guessing. It's the feedback loop you keep skipping that leaves you stuck rebuilding.
You've hired for diversity and checked that box, but if your team still feels like some people are just observing while others drive decisions, you're missing the inclusion piece — and leaving product insights on the table. This explains the 'accomplice vs ally' shift that turns diversity from a metric into actual competitive advantage.
You think you're good at prioritizing, but this breaks down the 'compounding interest' approach to effort that separates shipping from thrashing. If you've ever wondered why some people get more done in less time, this is the operating system they're running.
You've hit that wall where your builds don't match your vision, and you're wondering if you're just not cut out for this. Ira Glass names the gap between taste and skill that's tripping you up, and why pushing through with volume — not perfection — is how you actually get unstuck.
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'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'll discover why your instinct to 'build it right the first time' keeps getting you stuck — this CEO prototypes a van kitchen in cardboard, learns what he got wrong from actual use, and iterates twice before committing to wood. It's the recovery strategy you're missing when your code goes sideways.
You're probably confusing activity with impact and calling every shipped feature a 'win'—this framework shows you how to measure what actually matters and learn from the 90% of attempts that don't work out.
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're probably building too much before validating—this shows you how to catch failed ideas earlier by shipping prototypes instead of code, then actually measuring user reactions instead of guessing. It's the feedback loop you keep skipping that leaves you stuck rebuilding.
You've hired for diversity and checked that box, but if your team still feels like some people are just observing while others drive decisions, you're missing the inclusion piece — and leaving product insights on the table. This explains the 'accomplice vs ally' shift that turns diversity from a metric into actual competitive advantage.
You think you're good at prioritizing, but this breaks down the 'compounding interest' approach to effort that separates shipping from thrashing. If you've ever wondered why some people get more done in less time, this is the operating system they're running.
You've hit that wall where your builds don't match your vision, and you're wondering if you're just not cut out for this. Ira Glass names the gap between taste and skill that's tripping you up, and why pushing through with volume — not perfection — is how you actually get unstuck.