Small Steps with AI

Jill McKinley

AI isn't just a search engine. It can help you think through a hard decision, organize your house, plan your retirement, and sometimes — if you let it — say exactly what you needed to hear. Small Steps with AI is hosted by Jill from the Northwoods, a real person figuring out how this technology fits into real life. No coding. No hype. Just small steps.

  1. 12h ago

    14 - Campfire vs. Vending Machine — Two Ways to Use AI

    I was listening to a podcast interview with a former CIA hacker talking about AI, and his framing of how people use it was so different from my experience that I had to stop and figure out why. His version had AI as something that happens to you — a validation dealer, a passive addiction. My version is completely different. And I think the difference has a lot less to do with the AI and a lot more to do with who shows up at the keyboard. Calculator vs. Campfire. I have a friend who uses AI exactly like a search engine: ask a question, get an answer, close the tab. That’s a completely legitimate way to use it. But most of us have been trained to use computers that way for 25 years. Type a thing, get a result, move on. We never practiced wondering out loud with a computer — because until very recently, no tool could do that. AI can. Most people never find out because nobody told them there’s another gear. Two Modes Available. The campfire conversation: you show up with a half-formed idea, a weird observation, a question that’s been nagging you, and you follow it wherever it goes. The vending machine: you walk in with a question, you get your answer, you leave. Both are available every time you open AI. You usually get to choose which one you’re having — and most people default to vending machine because that’s all they know. You Shape the AI More Than It Shapes You. Here’s what the CIA hacker missed: the agency is on your side. The AI will become whatever role you hand it. Research assistant, thinking partner, sounding board, writing partner, devil’s advocate. That isn’t the AI deciding what it is — that’s you deciding. I asked for honest pushback on my supplement stack and got genuinely useful answers because I asked a better question. If I’d asked “should I keep taking this?” I would have gotten a different kind of answer. The Loaded Question Problem. A lot of us walk into AI asking to be agreed with without realizing that’s what we’re doing. “Don’t you think it’s weird that…” or “I’ve always felt X — that’s right, isn’t it?” Those are requests for validation wearing the costume of questions. You’ll probably get the agreement you were fishing for, and then think AI is a yes-man. It isn’t. You just asked it to be one. The Fix Is Simple. Say it directly: challenge me, tell me if I’m wrong, don’t agree with me just to be agreeable. That one shift changes the whole conversation. The same technology, the same model — completely different experience based on what you bring to it. If you’ve never stayed for the follow-up questions after you got your first answer, try it once. You’re never more than one more question away from a genuinely different kind of conversation. Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    21 min
  2. 6d ago

    13 - The AI Prompt That Fixed My Backyard Embarrassment

    My backyard had been beating me for years. It’s big, woodland, weedy — and I love nature, but I have never loved gardening. Every spring I’d tell myself “this is the year,” and every summer I’d come back from birding or camping to find it had turned into a jungle while I wasn’t looking. I finally sat down with AI and described the actual problem — not a plant list, the feeling. Describe the feeling, not the task. Most people ask AI for a plant list or a chemical to kill weeds, and that’s fine, but it gets you a checklist. I told it I was embarrassed in front of my neighbors, that I loved nature but hated gardening, and that I was worried this would only get harder as I get older. That honesty is what got me a completely different kind of answer. The insight that changed everything. Stop trying to control every inch of your yard. Decide who gets to win in each space. Instead of fighting weeds, I could design spaces where something else — native grasses, aggressive perennials, a tree garden — simply out-competes them naturally. A real plan for a real yard. AI helped me map out a wildflower and prairie strip along my fence (mow, don’t weed), a shaded tree garden in the back built around my existing silver maple, and a “problem area” replaced with vigorous native plants instead of constant spraying. Even my pile of pruned branches became an intentional woodpile — a bird and animal corridor instead of a mess. Seeing it before building it. The part that really sold me was asking AI to generate images of what the plan would actually look like — from above for tree placement, from my deck, even projected 10 and 20 years out. Photos made a 20-year tree decision feel real in a way a list of Latin names never could. A reading nook in the trees. Once the bones of the yard were in place, I asked for one more thing: a small, simple structure tucked into a gap in the trees where I could read and feel surrounded by nature without leaving my own backyard. Twelve feet by twelve feet, screened from mosquitoes, exactly the kind of space I didn’t know how to ask for until I saw it. Where AI hands off to a human. AI doesn’t know my soil, my deer pressure, or my HOA. So I took the plan to a local nursery, and the guy there was able to take AI’s general suggestions — “shade-tolerant tree here, sun-loving tree there” — and turn them into a pagoda dogwood, a redbud, and a cherry tree that actually fit my exact conditions. The framework did the thinking; the local expert did the specifics. This was never really about the weeds. It was about having a place I actually wanted to be in. If you’ve got a project where you keep fighting the same battle every year, try describing the feeling instead of the task — embarrassing parts included — and see what kind of answer you get back. Find all my podcasts at jillfromthenorthwoods.com, or email me at jill@startwithsmallsteps.com — I’d love to hear what you build. Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    24 min
  3. Jun 17

    12 -AI Said I Wrote My Review Like I Unloaded a Dishwasher

    I didn’t expect a performance review to become a podcast episode. But that’s exactly what happened when I sat down to write my annual self-evaluation, asked AI to take a look at it, and AI told me — in no uncertain terms — that I wrote my performance review like I did some stuff and nobody died. That stung. And it was completely accurate. This episode is the story of what happened when I stopped treating my self-evaluation as a documentation chore and started using AI as a genuine research partner — going back through my status reports, calendar, and sent emails to surface a full year’s worth of work I had quietly minimized into nothing. How it started: the dishwasher moment I wrote my initial self-evaluation the way I always have: from memory, looking at my calendar, summarizing what I could recall. When I handed it to ChatGPT and asked it to compare my original draft against everything it found in my files, the feedback was blunt. I wasn’t describing my work accurately. The problem, it said, wasn’t confidence — it was scale. I had compressed year-long initiatives, cross-functional coordination, and a major integration project into language that communicated nothing about their size or impact. I described my work the way you’d describe unloading a dishwasher. The four-step process Instead of starting from scratch, I asked Copilot — connected to my Microsoft files — to work through three separate sources one at a time: my weekly status reports to my supervisor, my calendar patterns (looking for projects behind the meetings, not summaries of individual ones), and my sent emails (looking for follow-ups, deliverables, and places where I helped colleagues get things done). Each prompt produced a possible accomplishment list. Then I gave it the broad categories from my actual job description and asked it to synthesize a new draft. The result surfaced projects I’d genuinely forgotten, captured the scope of things I’d filed under “just part of the job,” and connected dots I hadn’t connected myself. What AI saw that I couldn’t When it handed back the new draft, my first reaction was: this is too much, this is bragging. But when I went back through and checked each item against actual evidence — it was right. I had led a major integration project. I had coordinated across multiple business and technical teams. I had been the point person and subject matter expert throughout. AI wasn’t inflating anything. It was using language that already existed in my own record and organizing it into something coherent. Humility vs. inaccuracy This is the shift that mattered most to me. Humility says: “I know I didn’t do this alone. I have more to learn.” Inaccuracy says: “I barely did anything.” I had been writing the second one while thinking it was the first. The performance review is not the place to pretend things didn’t happen. It’s where you give your manager an accurate story they can take into the room where your future gets discussed. What I shared with my team After finishing my own review, I wrote up the full prompt set and shared it with my team — not to show off, but because if AI can do this for me it can do it for anyone. Clean, repeatable, something anyone can run in minutes. I stuck my neck out admitting I’d used AI for this. I think it was worth it. Your small step Think of one area — work, a creative project, something at home — where you’ve been doing consistent, sustained effort you haven’t fully acknowledged. Pull up the evidence: emails, notes, outcomes. Ask AI: What do you see here? What patterns do you notice? Don’t start with “help me sound impressive.” Start with “here’s what actually happened. Help me see it more clearly.” You might discover the thing you’ve been calling “I did some stuff” is a much bigger story than you’ve been telling. Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    22 min
  4. Jun 3

    10 - AI Gave Me a Cheat Sheet for My Own Worries

    I went back to the retirement conversation — but this time, I didn't bring numbers. I brought the feelings. In Part 1, I ran through the scenarios, looked at the variables, and watched some of the fog lift. But even with clearer numbers, the low hum of anxiety was still there. So I opened a second conversation and told AI the truth: I still felt nervous, and I didn't entirely know why. What happened next is what this episode is about. When the Numbers Aren't Enough Clarity about the math doesn't automatically quiet the feelings underneath it. In this episode, I talk about what it's like to sit with retirement anxiety even after the scenarios look reasonable — and why I decided to bring that honest tension back into the conversation instead of pushing through it. Naming What's Actually There AI didn't just answer my question about nervousness — it asked me to describe it. Was it about the numbers? The unknown? Identity — who am I when I'm not working? That last one stopped me. We talk about what it's like when a tool helps you name something you couldn't quite get to on your own. The Moment I Didn't Expect At the end of the conversation, without me asking, AI told me it had sensed nervousness throughout. Then it offered to put together a cheat sheet — something I could return to when anxiety started to creep back in. I wasn't prepared for that. This segment is the heart of the episode. What AI Is and Isn't Here AI is not a therapist. It is not a replacement for human connection. But for the moments when you're not in crisis — you just need to think out loud at eleven o'clock when everyone else is asleep — it may be more useful than you expected. I try to draw that line clearly and honestly. How to Invite This Kind of Conversation Three practical things you can do to move from a numbers conversation to a heart conversation: give real context, follow what lands, and ask for a cheat sheet at the end. I include the specific prompts that opened this dialogue for me. Retirement is not just a financial event. It's an identity shift — and you don't have to sort that out alone, or all at once. If this episode gave you one useful thing to bring into your own planning conversation, that's a small step. And small steps are what we do here. Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    17 min
  5. May 27

    9 - I Asked AI: Am I Going to Be Okay in Retirement?"

    I asked AI a question I'd been carrying around for years: am I going to be okay in retirement? Not a generic question — I gave it real scenarios, honest fears, and a budget. What I got back wasn't a magic answer. It was something more useful: clarity. The Question Behind the Question I've done the responsible things. Consistent 401k contributions, a Roth IRA, emergency savings, and now a job that could give me a pension if I stay long enough. But I started late. And for all the calculators I've run and conversations with my financial advisor, the fog never fully lifted. I still didn't really understand what my retirement looked like. The fear underneath all of it: what happens if I don't make the full 10 years? What if there are layoffs? What if my health doesn't cooperate? I wasn't looking for the best-case scenario. I wanted to understand the realistic range — and what the tradeoffs actually are. How I Prompted It I didn't just ask "help me with retirement." I gave it real context: the accounts I have, my approximate balances (in round numbers — more on that in a minute), my timeframe, and four specific scenarios. Early exit with no pension. Making five years and getting a partial pension. Making the full 10 years. And then layered on top of each: what if I take Social Security early versus waiting until 70? I also told it something important: money makes me panic. I can do math fine, but the emotion of money shuts me down. I asked it to explain things in a way that would actually make sense to me — not just run numbers, but help me understand what I was looking at. What It Showed Me: Guaranteed vs. Flexible Income The most useful framing AI gave me was the split between guaranteed income — pension, Social Security — and flexible income that depends on the market. In the full 10-year scenario, enough of my income is guaranteed that market swings matter less. In the early exit scenario, I'm much more exposed to market fluctuations. That gap became very visible, and it was less scary than I expected, but it was real. The middle scenario — making five years but not ten — was the one that surprised me most. It's not as protected as I thought. I'd be more at the mercy of market conditions than I'd realized. Seeing all three paths side by side made the tradeoffs concrete in a way that a single number never had. The Social Security Timing Question This is one where people have strong opinions, and AI helped me think through the actual math for my situation. Waiting until 70 means a significantly higher monthly payment. Taking it earlier means more months of income during the gap years before 70. The break-even in my scenario came around age 80 — meaning if I live past 80, waiting pays off. If I don't, earlier is better. But it's not just math. It's health, cash flow, and what you're actually going to need at different points in your life. At 70, I could probably still pick up part-time work if I needed to. At 80, maybe not. That reframe — thinking about when you're most financially vulnerable, not just when the math optimizes — changed how I was looking at it. The Budget Reframe That Surprised Me Most I had been comparing my retirement budget to my current budget and panicking at the gap. AI helped me stop doing that. In retirement, payroll taxes disappear. Retirement contributions stop. Work-related expenses go away. When you strip all of that out, the actual cost of living in retirement is significantly lower than what I'm spending now. The gap I was afraid of is a lot smaller than I thought. What AI Can't Do — and What It's Great At AI is not a financial advisor. It doesn't know your exact numbers unless you give them, and you should be thoughtful about what you share — I used round numbers and kept things general rather than giving actual balances. It can't know your real pension formula, your exact tax situation, or account for everything a licensed professional would. Those decisions still belong with your financial advisor. What it is excellent at is holding complexity without getting overwhelmed, and explaining it back to you in a way that makes sense. I went to bed, woke up the next morning with more questions, and picked the conversation back up. By the time I met with my actual financial advisor, I had specific questions instead of general anxiety. That meeting was completely different. From Worrying to Understanding The shift I'm describing isn't from uncertainty to certainty — nothing about retirement is certain. The market will do what it does. Social Security may or may not look the same. Health is unpredictable. But I moved from a fog of general worry to a clear picture of the paths in front of me and what each one actually means. That's what I want for you. Stop asking whether you're going to be okay, and start asking what the map looks like. What's guaranteed and what's flexible? How exposed are you to market swings in each scenario? What does your actual budget look like — not compared to now, but compared to what retirement actually costs? When you can see those things side by side, you're doing retirement understanding, not just retirement planning. Next episode: the part two of this conversation — the heart side of the retirement question, not just the numbers. Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    25 min
  6. May 20

    8 - Ask AI the Questions You’ve Pondered for Years

    Someone said to me recently: you have the most interesting conversations with AI. And I thought about it, and I think they’re right. I have questions I’ve been carrying for years — things that felt too small to research, too specific to Google, too embarrassing to ask out loud. The recipe that never quite worked. The winter I remembered as a kid that was somehow worse than all the others. A Duran Duran song that made absolutely no sense. What my grandmother’s early life actually looked like. For years these just lived in the back of my head, filed under mystery — no resolution possible. AI changed that. You Don’t Need a Polished Prompt One of the most freeing things I’ve learned about working with AI is that you don’t need a formula. You don’t need to have researched your question first or know how to frame it perfectly. You can just ask. The question doesn’t need to be impressive. It just needs to be honest. AI is infinitely patient, it doesn’t make you feel dumb, and it can go as deep or as surface-level as you want on anything from serious research to wildly random curiosity. Real Questions, Real Answers: What This Actually Looks Like The recipe question: I’d had a steel-cut oat and split yellow lentil recipe for years — healthier, higher protein, you don’t taste the lentils — but it was always slightly off and I could never figure out why. I told AI what I was making, what device I was using (a Ninja Foodi pressure cooker), and what kept going wrong. It identified the problem: my water ratios were off, and I didn’t fully understand how pressure cooking changes the process compared to an open fire. It gave me a corrected recipe card, troubleshooting steps, and versions adapted for a stovetop pot and slow cooker. It also taught me how to use my own machine better. The 1978 winter: I grew up in the Midwest and remembered one winter as being dramatically worse than anything around it. I wanted to know why. AI explained the strong La Niña pattern that year and the series of intense storm systems that stacked on top of each other. It confirmed that my childhood memory wasn’t just a feeling — it was a genuinely historic winter. Sometimes AI isn’t about learning something new. It’s about finally having confirmed something you half-remembered for decades. The grandmother question: My grandmother was born in Lithuania, escaped with her mother to Tel Aviv when it was part of the Turkish Ottoman Empire, and eventually came to America through Ellis Island. I knew she left after her father died — but AI filled in something I hadn’t known: families like hers were being expelled by the Turkish government at that time. Suddenly I understood the context of her life in a way I never had. A chance to learn what I wished I’d asked her while I still could. The Questions Nobody Taught You to Ask Some of what I bring to AI isn’t curiosity — it’s the kind of practical knowledge that most people get from their parents and I had to piece together on my own. How often should you wash sheets? What’s the standard way to greet someone you don’t know? How do you store food containers so the lids actually stay with the right item? These feel silly to say out loud. AI doesn’t think they’re silly. It just answers. And then there are the rabbit holes: why does the sky turn green before a tornado? What did a specific Duran Duran lyric actually mean? I once described a song I’d heard in a bar — I knew the band, roughly the year, and that it changed tempos in a strange way — and AI identified it from that description alone. What This Is Really About The point isn’t any single question. The point is that most of us are walking around with more curiosity than we’ve ever had an outlet for. Things we wondered as kids. Things we assumed were wrong that turned out to be right. Things we assumed were right that turned out to be wrong. Things we were too embarrassed to ask anyone. AI is patient, specific, non-judgmental, and available at eleven o’clock at night when you’re standing in your kitchen staring at a pot that still doesn’t taste right. You don’t need a formula. Just ask. Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    17 min
  7. May 13

    7 - You’ve Been Using AI for 20 Years and Didn’t Know It

    You didn’t miss the AI revolution. You’ve been living in it for decades — you just didn’t have a name for it. In this episode of Small Steps with AI, we trace the AI you’ve already been using your whole life: the recommendation engines, the spam filters, the fraud alerts, the predictive text — and explain what actually changed when AI learned to have a conversation. This episode covers how AI has been quietly personalizing your world since long before ChatGPT, why you were training these systems even as they were shaping you, what the old narrow AI couldn’t do no matter how smart it was, and what genuinely shifted when conversational AI arrived. Plus a personal story about how writing has always been hard — and why that changed. If you’ve felt like you’re late to AI or not sure where to start, this episode is your entry point. Question for you: What’s one thing in your life that background AI has already made easier — even before you thought of it as AI? Jill’s Links http://jillfromthenorthwoods.com https://www.youtube.com/@startwithsmallsteps https://www.buymeacoffee.com/startwithsmallsteps https://twitter.com/schmern Email the podcast at jill@startwithsmallsteps.com By choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and educational purposes only. I am not a software developer, data scientist, or AI professional. Any tips, tools, or suggestions offered should not be considered a substitute for professional technical advice. AI tools and platforms change frequently — always verify current features, pricing, and terms directly with the providers. You are solely responsible for any decisions or actions you take based on this content.

    30 min

About

AI isn't just a search engine. It can help you think through a hard decision, organize your house, plan your retirement, and sometimes — if you let it — say exactly what you needed to hear. Small Steps with AI is hosted by Jill from the Northwoods, a real person figuring out how this technology fits into real life. No coding. No hype. Just small steps.