Episode 16 · 2026-10-16

Loyal to the Result, Not the Tool

Every platform changed under us in seven weeks. The only thing worth staying loyal to was the result.

Cohost Lee Rodrigues dropped Final Cut Pro and his loyalty to a workflow that used to work. Sam goes one step further: loyalty belongs to the result, not any tool, old or new, and a tool's say-so isn't evidence.

Host Sam Rogers · cohost Lee Rodrigues · 26 min

A choice this episode can help with

Which tool are you loyal to, and what evidence says it makes the result better?

Run it on your own work: Two Decisions and an Owner, one page, any model.

Watch it below, or read the conversation.

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About this episode

The thread through the episode is where loyalty belongs. Lee's case runs tool by tool: the landscape changed, so the workflow did, so Final Cut went. Sam's runs one layer up: as long as the result lives somewhere we own, any tool, old or new, can be swapped out, and each one has to earn its seat.

Midway through, Sam put the question the two of them have argued about for a decade: best for what? "I don't know of anybody who's like shooting IMAX podcasts." Lee's answer is the minimum effective dose: water boils at a set temperature, and more heat just turns more of it into steam. His habit, from their time together at YouTube, is to export a test to its real destination before building anything. Sam's measure is the audience: if they "can't tell the difference between A and B, then arguably there is no difference between A and B." He tied it back to Episode 9, where Lee said the most powerful tool he has is real data, not assumptions.

Lee's switch came from counting. He logs the hours each process takes, and asks AI to tear the plan apart rather than approve it. Claude pointed out he wasn't counting ingestion, about thirty-five minutes per hour-long webinar in Final Cut, and with it counted the job came to six or seven hours in one editor against about three in the other.

One thing to do this week: pick one tool you're keeping, old or new. Write down the result it's for, then the evidence that it makes that result better. Cross out anything that came from the name of that tool. If there's nothing left on the page, it isn't a tool decision yet.

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Transcript

Read the conversation

0:00

Lee Rodrigues: It does not matter how much time and money you've sunk into this. What are we doing now? I'd rather keep learning than defend a habit, or defend an old workflow that I used to use. And

0:09

Sam Rogers: It's a great way to put it. Welcome to Signals and Subtractions. I'm your host, Sam Rogers. Loyal to the result, not to the tool. That's where we're headed today. Every one of us has some kind of tool that we keep because it's the one that we know, right? The one that we go to. And most of us also have some cool AI tool that we picked up because it was new and cool, and then we just kept using it because we'd already moved things into it. Both of those are loyalty. Neither one is about the result. So I've brought back someone who's been at this table since the very first episode, and we love to talk tools. Lee Rodrigues, welcome back.

1:03

Lee Rodrigues: So glad to be back, Sam. I I feel like we talk about the tools people actually use here and I end up leaving every one of these doing like four or five Google searches and downloading something and joining something else and being better for it afterwards. So excited to be here again.

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Put it to work

Name one tool your team kept or adopted this year. What evidence, other than the tool's own say-so, says it fits?

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