Pawel Brodzinski

@pawelbrodzinski.bsky.social

Leader of an org where anyone can make any decision (Lunar Logic). Doing anything that no one else wants to do. A mouthful on product development, startups, org design, lean/agile, IT in general. Also AI. AI too.

Each time I see one of those, followed by some "do AI" advice, I'm like Revenue per employee: OnlyFans: $37.6M PornHub: ~$8M If anything, it's not "do AI." It's "do porn." Sarcasm aside, it's comparing apples to oranges. Doesn't make sense.

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The latest iteration on controlling AI spend: the budgets (per team, per tool, etc.) Next up: "Why do people use *all* the budgets whether they need them or not? We should have more control over how these budgets are planned."

When we look for a response, it’s easy to rely on an LLM, and parrot its output. That’s good enough. When we look for a thinking process, an AI response is useless. Even if it answers the question. A word-based response is (typically) general-to-specific. A thinking process is specific-to-general.

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“What gets us into trouble is not what we don’t know. It’s what we know for sure that just ain’t so.” Mark Twain is a spiritual godfather of assumption mapping, my favorite product discovery technique. And yes, Twain-o-Meter is a thing. Read on. pawelbrodzinski.substack.com/p/my-favorit...

My Favorite Product Discovery Tool: Assumption Mapping

A simple technique that generates a ton of insight and can redraw the roadmap before we even start building.

pawelbrodzinski.substack.com

Not a great economy alert! Wall Street Bets users think Palantir spiked today because The Onion story titled “Palantir Acquires Pentagon for $800 Billion” hit their front page. They’re guessing trading bots indexed the top post on the subreddit reddit not understanding source.

A chart showing an immediate spike after the headline hit the front page of Wall Street Bets.

Discussion about YAGNI Me: With fewer than 5 customers, your defensive coding (addressing potentially catastrophic cases) doesn't matter. It's not code that will kill the business. Also me: That is, unless your fewer than 5 customers is a space mission. Then you definitely are gonna need it.

For decades, we learned how to have less work in progress. When it finally looked as if we internalized the idea, with AI, we're making a U-turn. It's concurrency all the way. Let's have a swarm of agents work on a thing! Gonna be good so much better!

Pay-once-use-forever used to be a smart tactic to get some early traction. These days, I consider it a smell. Too many folks with nicely looking vibe-coded stuff use that as THE business model. Get enough people to fall for that and then move on to another thing.

If and only if we, as a hiring company, care and show care, can we expect the candidates to follow suit. Otherwise, the default assumption is that it's a volume game. Something that companies that outsource their initial screening to AI completely miss.

Hiring will fall into one of two: 1. (Big one) The volume game. AI agents on both sides do the mediation. Whoever uses a better tool wins. 2. (Small one) The quality game. We design a process that requires extra effort *for both parties*. We exchange tokens of care and improve odds of good match.

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AI in products is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it too. Also, I doubt we'd count teenage sex among our best intimate experiences...