Pattern Recognized
Pattern Recognized is a plainspoken podcast about AI, work, power, and the human systems underneath it all. Hosted by Josh Bechtel, the show cuts through hype, panic, and magical thinking to explain what AI actually does, where it helps, where it fails, and why human judgment still matters.
Episodes
I have submitted over two hundred job applications this year, and sixty-three of them I never even looked at. In this episode, I break down the accidental experiment that those applications became: fully automated, fully manual, and a hybrid system built with AI, and only one of the three lanes produced real interviews. I walk through the exact system that worked, a career context library with your master resume, your talked-out pr...
Episode 12: The Week the Model Disappeared Target runtime: 24 to 28 minutes Core job: Use the first-ever government shutdown and return of a frontier AI model to teach listeners what it actually means to depend on these tools, and leave the skeptics in the audience feeling more reassured, not less
The most valuable knowledge in your organization is probably locked in someone's head and has never been written down. In this episode, Josh introduces the Interview Flip: a simple technique that turns the tables on the usual AI interaction by letting the AI ask the questions instead of answering them. The result is a crowbar for tacit knowledge, the expertise so embedded in how you work that you have stopped recognizing it as expe...
You are probably using about a fifth of what AI can actually do, and it is not your fault. Google spent twenty-five years training you to bring keywords to someone else's library. Grounded AI flips that completely: you bring your own library and just talk to it. In this episode, Josh shows you how to step outside the chat window and give AI the kind of context it was actually built for, your real documents, your projects, your driv...
There is a stage of AI use where you stop doing the task with AI and start building the thing that does the task. Most people do not know it exists. The ones who do mostly assume it is locked behind a computer science degree. In this episode, I explain how anyone can get to Fly-level AI use, creating their own AI tools and Agents.
Every organization that uses AI tools needs a written policy, and most of them do not have one. This episode walks listeners through the exact components of a practical, readable AI use policy that protects the organization without terrifying the staff. You can offer the template as a lead magnet.
Most organizations "do AI" by handing it to the engineers, and six months later nothing about the real work has changed. In this episode, Josh makes the case that AI adoption fails at the human layer, not the machine layer. He explains why most failures are baked in before an engineer ever touches a tool, and why the people best suited to lead adoption are often the ones every org wrote off as a support function. Along the way he d...
Everyone wants to know if AI is working. The problem is when they ask, and what they reach for to answer it. Most leaders grab a stopwatch three weeks in and wonder why the numbers are disappointing. They are not measuring the wrong tool. They are measuring the right tool at the wrong time.
Prompting is the new literacy and most people are doing it the way they used to Google things: throwing keywords at the screen and hoping. This episode teaches the fundamentals of prompting in plain language, with real before-and-after examples your listeners can try immediately
AI adoption can go sideways before anyone realizes it. In this episode of Pattern Recognized, we break down the five predictable mistakes organizations make in the first week of AI rollout: tool excitement without a plan, one-hour training that never becomes practice, accidental AI departments of one, missing policies, and measuring the wrong things too early. More importantly, we look at how to catch these mistakes early and turn ...
Today on Pattern Recognized, we are talking about AI skill and readiness. Specifically, where you and your organization actually stand in its ability to use AI effectively, and why almost every organization that fails at this misreads its position the same way.
Shadow AI is real and it is happening in many organizations right now. This episode pulls back the curtain on what your staff is already doing with tools like ChatGPT and Claude, why they are doing it quietly, and what that means for your organization. The goal is not to scare leaders but to shift them from reaction to intention.
I am not going to tell you AI is going to change everything. In this episode, I am going to tell you something of what AI actually is, because once you know that, the hype gets a lot easier to ignore and the tools’ power becomes more evident.
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