Pattern Recognized

AI, how to use it, and when not to. Practical AI adoption for nonprofits, small businesses, individual contributors, and the people leading them.

Pattern Recognized is a technology podcast hosted by kal75el, with 18 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

kal75el hosts Pattern Recognized, a technology show with 18 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #18

  E18: Make Every AI Conversation "Smarter"

  Aug 14, 202628 min

  Every time you open an AI chat, it knows nothing about you, so you retype your whole situation from scratch, slightly differently every time, and wonder why the answers wander. In this episode, I hand you the fix, which is a folder with three shelves: the facts about your organization, samples of what you actually sound like, and the decisions you have already made and do not want to relitigate. You do not write any of it from scratch, because most of it is already sitting in your annual report, your grant proposals, and your sent folder, waiting to be harvested in an afternoon. I also get specific about the failure mode nobody plans for, which is a folder that quietly goes stale and starts confidently describing an organization that no longer exists. And I draw a hard line around what never goes in it, because the whole premise here is handing your material to a machine and that deserves a boundary you set in daylight.

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  Episode #17

  E17: An AI Ran a Ransomware Attack... By Itself?

  Aug 6, 202624 min

  Security researchers documented what they assess to be the first ransomware attack run end to end by an AI agent, with no human at the keyboard, and the way it got in should make every small organization leader look twice at their own setup. In this episode I walk through what actually happened in plain language, including the moment the agent hit a wall and fixed its own mistake in thirty-one seconds. Then I separate what the research documented from what the headlines turned it into, because reading an AI claim carefully is a skill that outlasts any single news story. The real shift here is not that attackers got smarter, it is that the cost of running an attack collapsed, and being too small to bother with is no longer the protection it used to be. I close with four unglamorous things you can do this week without spending a dollar, plus the one question to ask whoever runs your technology.

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  Episode #16

  E16: How to Build an SOP With AI in One Afternoon

  Jul 29, 202647 min

  Nearly every organization has at least one process that lives in exactly one person's head, and nearly every leader has been meaning to write it down for years. The reason it never happens is not that writing is hard, it is that when you sit down to document work you do every day, you cannot find the beginning. In this episode I hand over the thing that technical writers and project managers spend careers absorbing by accident: work has visible endings and invisible beginnings, so you start at the end, point at the finished thing, and walk backwards until you hit somebody else's job. From there I walk through the whole build, including why you should talk instead of write, the one move most people skip, which is letting the AI interview you to surface the steps you would never think to mention, and how to bring in the person who does the work as a co-author rather than making them feel audited. And as always we cover when not to use AI here, including what happens when you point at the wrong finished thing and document a broken process backwards, faster and more confidently than before.

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  Episode #15

  E15: Five Recipes for Making a Mind

  Jul 22, 202635 min

  Science fiction spent a century imagining how to build an artificial mind, and it imagined almost every recipe except the one we actually used. In this episode I walk through the five recipes for making an AI, from scraping the internet and watching a mind emerge, to hand-built knowledge, curated specialists, systems that learn by doing, and the mostly untraveled road of copying or growing the brain itself. Each recipe gets its pop culture pairing, including Ex Machina, HAL, Data, the Weyland-Yutani synthetics, Skynet, and the Tyrell Corporation, along with the real technology behind it. We dig into why an AI trained on humanity behaves like humanity, flaws included, and why the same strange recipe accidentally produced something like intuition for computers. And we close with the oldest answer in the library, the novel that banned the whole project, for a reason that has nothing to do with robot uprisings and everything to do with you.

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  Episode #14

  E14: Automation vs. Augmentation: The Choice You're Making Whether You Know It or Not

  Jul 17, 202624 min

  Most organizations decide whether AI will work for them before they ever open a tool, and they do it with a single word. In this episode I break down automation versus augmentation, two frames for the exact same technology that produce wildly different results. I bring the receipts from my own two hundred application job search, where full automation produced volume and staying the author produced every interview that mattered. You will leave with a four-question test that picks the right frame for any task and then proves the pick in the business's own numbers, not invented AI metrics. The tool does not decide your outcome; the frame does.

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