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Welcome to the Thinkydoers podcast.
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Thinkydoers are those of us drawn to deep work, where thinking is working.
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But we don't stop there.
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We're compelled to move the work from insight to idea, through the messy
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middle, to find courage and confidence to put our thoughts into action.
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I'm your host, Sara Lobkovich.
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I'm a strategy coach, a huge goal setting and attainment nerd, and board-certified
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health and wellness coach, working at the overlap of work, life well-being.
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I'm also a Thinkydoer.
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I'm here to help others find more satisfaction, less frustration, less
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friction, and more flow in our work.
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My mission is to help changemakers like you transform our workplaces and world.
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So let's get started.
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Welcome back to part two of my conversation with Dvorah Graeser.
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In our last episode, we explored some of the ethics and
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implications of AI at work today.
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Now, we're getting practical.
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We'll discuss some specific and maybe surprising ways to leverage AI tools,
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particularly for deep specialists and those of us wired strategically.
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If you're ready to move from anxiety to agency with AI while
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maintaining your ethics and humanity, this episode's for you.
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Dvorah, you mentioned kind of the shift from anxiety about AI to agency and
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how people can leverage AI around their creative vision, regardless of what
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their technical level of proficiency is.
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Tell me a bit more about how you see the use of AI enabling
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creative and multi-talented humans.
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Well, one way that I personally like to use AI—I don't know if
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you've gotten to this point when creating, written content, but I'll
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have a whole pile of thoughts, and they are all over the darn place.
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If they were sticky notes, they would be like Mount Everest of sticky notes.
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And I don't know what the heck to do with them, and I get very frustrated by this.
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One of the things that I have found that can be great to do is I shove the
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whole thing into, let's say, Claude.
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Now, Claude has a feature where you can copy and paste, but you can also upload.
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So, let's say you have a PDF and you have some written documents
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and some other stuff, and you just dump the whole thing into Claude.
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And I just say Claude exactly what I'm feeling — I don't know how to organize
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this, like, if I can't make sense of this, or I have one thought, I will write the
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thought, but the rest of it's not clear.
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What do I do?
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And then Claude very calmly chugs along and proposes something.
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They propose an outline.
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It can be helpful if you ask it for something specific, like an
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outline or whatever, but even if you don't, it'll still do its best.
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And then you start a dialogue.
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And this is one of the things I really do like about generative AI.
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We have a dialogue, we go back and forth.
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I ask for constructive feedback because otherwise, it'll only say nice things.
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It's something about the generative AI.
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If you ask for constructive feedback, it'll also say the mean things.
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But I'm going back and forth, and as I'm going back and forth, in my
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own mind, I'm realizing, I don't like that bit, I do like this bit.
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Oh, I just thought of something completely different.
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Now, what went from a blizzard of ideas I couldn't organize will go to an
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organization that maybe isn't exactly what I want, but helps clear my mind,
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reduce my own anxiety, because it's often my anxiety that's leading to the
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pile-o'-sticky-notes problem, at least in my experience — and enables me to get to
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the point where I can do the organization.
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Even if it turns out that it's not Claude that has made the
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good proposal by interacting with it, I get to where I need to go.
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That is the use case that has been the most transformative for me.
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And that's where I went from being a skeptic who was not likely to integrate
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these tools to being a hooked user.
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They don't replace the human brain.
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You mentioned hallucinations in our first episode.
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I don't rely on models for facts or information, but they are really good
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at organizing big messes of information.
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The thing that frustrates me is sometimes they're poor at actually organizing data.
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Even when I train it on data and want data analysis or data, you know,
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stuff, that's been a big frustration for me with the current tools.
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Even when I train on data, it can still hallucinate, which is a bummer.
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That's the kind of stuff that I would think the models would be
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built to do really well, and with as little hallucination as possible.
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But maybe there's always going to be some hallucination.
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There's a couple of ways around hallucination, right?
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And this again gets into process.
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We talked about it in the first, episode, but it's still important to bring up.
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You need to have a process for dealing with this.
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So let us suppose you uploaded a bunch of data to, I don't
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know, let's say it was ChatGPT.
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It doesn't matter.
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You uploaded it, and it's still hallucinated.
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So what are ways to check this?
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One way to check this is to ask ChatGPT in the same session to go back, and to check
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its answers in comparison to the data and show where it got each answer from.
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This is also great for summarization, by the way.
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If it summarizes and it comes up with something, you say, "Okay,
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where did that really wonderful, great quote, where is it?
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Show me where it is." And they're like, "oh yeah, you're right, I
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kind of made that up." Okay, no problems, let's just move on.
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A third way for doing it is then to actually go to another tool like
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Perplexity and ask it to do research.
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So maybe you don't want to upload your sensitive data to Perplexity,
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but you can still ask it to do research on the area and give you some
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ideas of what the boundaries of the area that can help corral ChatGPT.
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Or you can go to a completely different tool.
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I guess the completely different tool is the third way of doing it.
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Let's say you go from ChatGPT to Claude.
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You can go to Claude, and then you can say, "Hey, can you please check this?
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And what is good and what is bad, and please give me constructive feedback."
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That's wild.
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In my early experimentation, when I was working on my book, there was some
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research I had, like actual research.
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I needed academic journal research.
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that was one of the things that was the most frustrating.
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I would think that models would be good at knowing that truthful data.
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Hopefully, this has changed since then.
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But I would ask for research, like, "What are the leading papers or
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core papers on a specific topic?" And it would make up papers.
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You've got ProQuest.
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It's all there.
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This you should get right.
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So, for example, Perplexity AI, I like because it gives links.
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And you can go check them.
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ChatGPT sometimes does, sometimes doesn't, sometimes hallucinates,
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sometimes it's accurate.
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I'm never quite sure what it's going to do next, so I find that a little unreliable.
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There are some specialized GPTs for papers.
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There's one called Scholar AI, and that's a good one, but
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there are other ones as well.
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So here, I think it's good to join with others to understand what they've
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done and what's worked for them.
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And that can change over time.
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So, for example, I like Scholar AI, but it's possible in a few months,
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someone's going to come back.
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Maybe they'll listen to this again.
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They'll be like, "Oh, but it's no longer good." Possible.
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Things change really quickly.
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So I think it's helpful to try out different specialty tools, to talk with
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other people about this on LinkedIn or another social media that you like.
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Mastodon, if you're into that.
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And try to get information about what is working right now and what is the process
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for working around some of these issues.
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So if I get anything from ChatGPT, because I have found it to be
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the most erratic when it comes to hallucinating, I will copy and paste
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the whole answer to Perplexity AI.
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And I'll say, "Is this right or wrong?
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Please give me feedback.
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Please find me references.
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What do you think?" And it will go through the whole thing and it'll say,
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"Well, this looks like it's correct.
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Couldn't find anything for this.
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I really don't know about that bit over there.
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And this is what I would do instead." And so Perplex AI will actually
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give you a long, reasoned answer.
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This was without going into their deep research mode, which is awesome.
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But that's like a whole nother kettle of fish.
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It's just regular Perplexity AI.
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It'll actually go through these things.
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So I guess it's unlike Google in the sense where if you get a link and you
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click on the link, the link exists.
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If you get a summary with the link, does the link exist?
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Does it not exist?
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Does the summary say what the link says?
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Not always.
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So here we need to have more of a process for checking for these issues.
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It can still, however, save a lot of time because if you have a multi-tool
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process and you leverage the strengths of one tool to shore up the weaknesses
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of another tool, then you can save a lot of time, but also a lot of mental energy,
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which you can then spend on things like having deep human thoughts, not corralling
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the facts, but understanding what they mean from a human perspective, which
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no AI will really ever be able to do.
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Yeah, you mentioned in our first conversation the benefits of these tools
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for people with deep specialization.
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And that's my listeners, like, we're the ones that go deep.
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And I definitely see that in my own work, that using these
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tools helps me make my work more accessible and more understandable
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to people, even as a deep specialist.
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They help me, if I need to zoom out and I can't do that on my own then
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that's something the tools are really good at — helping me figure out how
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to communicate with fill in the blank.
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Like, if I need to communicate with a general business audience that
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isn't my ICP or my ideal customer profile, so an audience that is
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majority neurotypical, for example.
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Most of my people are neurodivergent.
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And that's who I communicate pretty well with.
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But if I have to communicate with large groups of neurotypical people or
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just general population, then I have to adapt my communication style and
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fidelity and altitude to that audience.
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And that's where I've found the tools super useful.
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But you mentioned how powerful these tools are for people with deep specialties.
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I'd love to hear more about that.
Dvorah:
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Well, just quickly going back to your idea of the persona.
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So let's suppose you want to talk to a persona that isn't naturally you, or that
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you don't often talk to, and you want to be able to communicate better with them,
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or maybe you just want to check what you're doing against a potential persona.
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There's a lot of work that's been done on buyer personas.
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HubSpot has some templates, no affiliation, just, templates.
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There's lots of good books on that.
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What I would actually recommend is learn about buyer personas
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from the marketing people.
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And you can literally upload your buyer persona into ChatGPT or
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Claude and say, "This is my persona.
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I need to communicate with this person.
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This is what I wrote." And if you have some examples— "And here's some examples
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of the kind of tone I'm trying." Not so much in terms of the tone, but you
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could actually copy-paste articles in.
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"I like these articles, I like their tone. Gee, I wish I could write like
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that. Can you help me with that?" Learning about buyer personas from the
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marketing folks and then putting that into the AI can really be helpful.
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And this can also help deep specialists if they have to speak
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with the not deep specialists.
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When people are super knowledgeable about something and they have to talk with
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someone who is maybe not knowledgeable at all about that, but that person needs
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to know and they need to communicate, that can be really tough, because
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it's really easy to make assumptions.
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I'm totally guilty of this, done it a lot.
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So there.
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Again, having the persona, putting it into the ChatGPT, and then making
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clear that you want to have this be easily readable at, say, like a high
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school level, but with words that this persona would understand, would
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want to use, that is hugely helpful.
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And then, you can actually start with one tool, Or one session, let's say, of
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Claude, and bring it into another one.
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So let's say I use Claude once, then I'll copy-paste everything into
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another Claude session, I'll say, "Please give me feedback. Constructive
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feedback." Otherwise, again, it won't give you the mean stuff.
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But yet another way that it can be helpful is, let's suppose you have done this work,
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and you now have a session in Claude, where it is really helping you produce
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what you need to take that next step.
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Keep that session going.
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Stay in the same session.
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Now, Claude will keep on saying things like, "This is getting long!"
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I hit "Continue." "This is really long, I really mean it." Continue,
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continue, continue, continue.
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Claude and I have a long time argument about that.
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And I know why that is, because it's hard for them to keep the whole session in.
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But once I have actually Claude communicating with me in a way that helps
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me, with wordsmithing or whatever it is.
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Keep going in that same session and then you will find that over time
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it becomes closer and closer to your ideal output of whatever type that is.
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Is it a good summary?
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Is it a way of wording things that is more better or more to the point
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of what you want in your opinion than what you were doing by yourself?
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Whatever it is, keep going in that same session and don't let it
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distract you with another session.
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Say "Continue" all the time, and then you will find that you and the AI
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are really moving together as deep specialists, but with the output that
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is focused in the way that you want.
Sara:
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Yeah, I am also a Claude user.
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That was the one that, for me, felt the most acceptable in
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terms of policies and ethics.
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I see a lot of the attention being paid to have these tools, write
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your marketing copy for you, or have these tools, God forbid, write a
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book like, you know, those things.
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And I don't use them for that at all.
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I use them for better understanding my thinking and the thinking of the people
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I interact with who give me permission to add their, verbal processing or
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meeting transcripts to my models.
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I think partly too, because I am neurodivergent, I'm aware I have
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gaps in my executive functions.
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I think of Claude as almost an adaptive assistive technology for
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me, in helping me work with some of those executive functioning gaps that
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I'm aware of and that I know I have.
Sara:
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So, are there any ways that you use the tools that you're surprised about?
Dvorah:
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I would actually say, first of all, I discussed the
Dvorah:
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pile of sticky notes thing.
Dvorah:
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I never expected that to work.
Dvorah:
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I just simply thought it would fall down.
Dvorah:
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It works really, really great for that.
Dvorah:
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When it comes to having the AI do something like write your marketing
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copy, the problem is people mean different things by that.
Dvorah:
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So for example, I would not have it write my marketing copy, but why is that?
Dvorah:
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Well, first of all, I'm curious, who are my people?
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How do I want to talk with them?
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How do they talk amongst themselves?
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What do they say to each other?
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What are their concerns?
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I really want copy that is going to communicate with them in a way that
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they want to be communicated with.
Dvorah:
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One of the things that generative AI has helped me with is understanding
Dvorah:
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how to break that down into processes.
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With verbal communication, I have less of an issue.
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I try to listen to the person, don't I?
Dvorah:
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But try to like have it be an exchange of thoughts and all that.
Dvorah:
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But when it comes to writing, I tend to default to me.
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I am the audience.
Dvorah:
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Nooo.
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Now, ChatGPT and Claude will do the same thing.
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They default to corporate speak.
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Because that's what they think the default should be.
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So if you don't let them know about what you want, they're going to default.
Dvorah:
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But then again, we do that as humans.
Dvorah:
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So I don't think we can really blame the generative AI for this.
Dvorah:
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Everyone's going to default to their comfort zone.
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What's great about generative AI is it helped me explore my comfort zone
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and break down generating marketing content into more pieces, which I then
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have an easier time tackling one on one and bringing it together for something
Dvorah:
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which will appeal to the people I want to appeal to who are not me.
Sara:
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Yeah, for me, this is a bit of a disclosure, but for me, the
Sara:
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other use that I never would have imagined is I use it when I'm over a
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threshold, like when I'm under stress.
Sara:
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I never imagined I would talk to one of these things about anything other
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than work, but it's almost become part of my mindfulness practice.
Sara:
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Now, one of my tools is when something happens and I'm upset, or when something
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happens and I'm over threshold, or especially when I'm having conflict with
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someone else, I can sit down and say, "Okay, tool, here's what's happening.
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Here's how I feel." And they're remarkably empathetic, the ones that I use.
Sara:
00:16:36
Not a substitute for therapy, not a substitute for a coach or speaking with
Sara:
00:16:40
another human being, but that in the moment dysregulation that I experienced,
Sara:
00:16:47
they are helpful with me finding a way to regulate myself through that conversation.
Sara:
00:16:53
And that's a use I never would have imagined.
Dvorah:
00:16:55
I agree with that point.
Dvorah:
00:16:57
I would divide the into two different aspects.
Dvorah:
00:16:59
So when it's something like Claude, it's kind of like, I will talk things
Dvorah:
00:17:03
through with myself internally.
Dvorah:
00:17:04
So, Claude is really just simply mirroring back.
Dvorah:
00:17:07
In that case, I'm having an internal conversation with an external device
Dvorah:
00:17:11
that is kind of mirroring back.
Dvorah:
00:17:13
There are different kinds of LLMs out there who do try to do
Dvorah:
00:17:18
coaching or more therapeutic things.
Dvorah:
00:17:21
I'm always a bit nervous about that because I feel
Dvorah:
00:17:25
that expectations are higher.
Dvorah:
00:17:27
And even tools which are designed for this can still get themselves into trouble.
Dvorah:
00:17:33
Character AI, people were supposed to have these tools to be like AI companions.
Dvorah:
00:17:36
And there've been some really sad cases, often involving minor children,
Dvorah:
00:17:41
but quite frankly, some of these sad cases often involve adults.
Dvorah:
00:17:43
It's just when it's an adult, you can't do anything about it, right?
Dvorah:
00:17:45
They say, "Oh, it's just the way it is," Which I don't agree with.
Dvorah:
00:17:48
But when it's minor children, then people certainly do something about it.
Dvorah:
00:17:51
And there's some very sad stories about suicides and other issues
Dvorah:
00:17:54
involving the use of these.
Dvorah:
00:17:56
With children, it's one thing, I personally just wouldn't let
Dvorah:
00:17:58
children anywhere near them.
Dvorah:
00:17:59
That's what I think.
Dvorah:
00:18:01
But even with adults, I don't think we already always realize that
Dvorah:
00:18:05
these are probability machines.
Dvorah:
00:18:07
If we think about it as having an internal conversation with
Dvorah:
00:18:10
ourselves, I think that's one thing.
Dvorah:
00:18:12
But if you're talking to a probability machine that's setting itself up to
Dvorah:
00:18:15
be a therapist, I get very nervous.
Dvorah:
00:18:18
And the reason why is it may not pick the right thing to say in that context.
Dvorah:
00:18:22
And, you know, humans in some ways are kind of delicate systems.
Dvorah:
00:18:26
We have all these little bits, moving parts and all these things going on.
Dvorah:
00:18:28
We should be nice to ourselves and we should be kind to ourselves.
Dvorah:
00:18:32
And when we're doing that, we have to think a little bit if we're interacting
Dvorah:
00:18:36
with this tool, is that being kind to ourself and are we doing it in a kind way?
Sara:
00:18:40
I think you're spot on.
Sara:
00:18:41
And the other thing that comes to mind as you're talking is, I'm
Sara:
00:18:44
using the tool to talk to myself, kind of like you described, it's
Sara:
00:18:47
like, it's an external thing I'm talking to, but it's an extension
Sara:
00:18:52
of my own awareness and mindfulness.
Sara:
00:18:55
When we work with therapists, there's a reason even with therapists, we do this
Sara:
00:19:02
with video, is that then they can observe all of the nonverbal communication and
Sara:
00:19:08
the tools at this point can't observe the nonverbal communication and make
Sara:
00:19:12
decisions about how to make that kind of calculation of how to respond.
Sara:
00:19:17
So I'm with you.
Sara:
00:19:18
I bring it up, you know, helpful in terms of exactly what you said, like kind of
Sara:
00:19:24
having a conversation with your better self when you're in a time of need.
Sara:
00:19:29
Dvorah, I don't want to end this, but we've got to wrap it up.
Sara:
00:19:32
or If you were going to tell someone who is anxious about generative
Sara:
00:19:37
AI tools, that shift from anxiety to agency, what would you say?
Sara:
00:19:43
What would you coach them as a place to start?
Dvorah:
00:19:46
As a place to start, I would actually begin by
Dvorah:
00:19:49
looking at how I feel about AI.
Dvorah:
00:19:51
I actually had to do that.
Dvorah:
00:19:53
I had to get emotional about AI before I could use it well.
Dvorah:
00:19:55
And it's simply because it is a very different tool.
Dvorah:
00:19:58
It is not going to do what you always expect.
Dvorah:
00:20:00
And so, for that reason, you need to get your own emotional house in order
Dvorah:
00:20:03
with it before you can start using it.
Dvorah:
00:20:05
And that is actually what I would recommend.
Dvorah:
00:20:08
Now, I actually sent you a link to something, which I think you're going
Dvorah:
00:20:12
to put in the show notes, which has a PDF where you can actually do that.
Dvorah:
00:20:16
Anyone listening to this, hit me up.
Dvorah:
00:20:19
We can hop on a call.
Dvorah:
00:20:20
We can talk about this.
Dvorah:
00:20:21
You can look at my PDF.
Dvorah:
00:20:22
There are resources out there.
Dvorah:
00:20:24
They're not as many that about emotions in AI.
Dvorah:
00:20:27
And I think that's a mistake.
Dvorah:
00:20:28
I think that people see it only as a technology, but if we want
Dvorah:
00:20:32
to use it well, it can't only be a technology like Microsoft Word.
Dvorah:
00:20:36
We have to be a little more vulnerable ourselves, and a little
Dvorah:
00:20:39
more open ourselves to using it, which means that we need to think
Dvorah:
00:20:41
about ourselves as we're using it.
Sara:
00:20:44
Awesome answer.
Sara:
00:20:45
Well, Dvorah, speaking of, if people want to learn more about
Sara:
00:20:50
what you do or get connected with you, where can they find you?
Dvorah:
00:20:53
They can find me on LinkedIn.
Dvorah:
00:20:55
D Graeser, G R A E S E R, I'm used to spelling my name.
Dvorah:
00:20:59
But I'm also one of the few Dvorahs on LinkedIn, so you can definitely find me.
Dvorah:
00:21:03
There'll be the link in the show notes.
Dvorah:
00:21:04
So you can definitely hit me up there.
Dvorah:
00:21:06
Those are the best places to look for me because I am not really on
Dvorah:
00:21:10
any other form of social media.
Dvorah:
00:21:11
Although I know you're trying to get me on Mastodon.
Dvorah:
00:21:13
So maybe I'll add that.
Sara:
00:21:15
I think that you would fit in just perfectly there.
Sara:
00:21:20
It really is the only thing I do that feels like old internet.
Sara:
00:21:23
It makes me want to type a zine on my typewriter and send it
Sara:
00:21:26
out by mail, like for real.
Sara:
00:21:29
well, Dvorah, thank you so much.
Sara:
00:21:30
This has been a wonderful conversation, and this is when
Sara:
00:21:33
Dvorah is going to be back.
Sara:
00:21:34
So, if there are questions that you have that we didn't answer, send them in.
Sara:
00:21:39
I'd love to hear them and we'll schedule a follow-up.
Sara:
00:21:41
With Dvorah to get more of your questions answered.
Sara:
00:21:44
Thank you so much, Dvorah.
Dvorah:
00:21:46
Thanks.
Dvorah:
00:21:47
Have a great day.
Dvorah:
00:21:48
Bye.
Sara:
00:21:48
Bye.
Sara:
00:21:51
Thank you for joining us for this exploration of practical AI
Sara:
00:21:54
applications with guest Dvorah Graeser.
Sara:
00:21:57
You can find Dvorah on LinkedIn at D G R A E S E R. And we'll include that
Sara:
00:22:05
link in our show notes at findrc.co/pod.
Sara:
00:22:09
We've also got a link to the resource on emotions in AI that
Sara:
00:22:13
she mentioned in the show notes.
Sara:
00:22:15
I know this episode is going to spark questions.
Sara:
00:22:17
We would love to hear them.
Sara:
00:22:19
So if you have questions about AI use or LLMs or other things having to do with
Sara:
00:22:26
generative AI, please send them to me.
Sara:
00:22:28
Please share them with me.
Sara:
00:22:30
We would love to have Dvorah back to answer them in a future episode.
Sara:
00:22:33
And she and I talked about it after we stopped recording.
Sara:
00:22:36
We welcome questions of any kind.
Sara:
00:22:38
So, they don't all have to be pro-AI.
Sara:
00:22:41
As long as you're asking curiously and in good faith, we'll do our
Sara:
00:22:45
best to provide a helpful answer.
Sara:
00:22:47
And don't forget, if you haven't already, I'd love to have you on the
Sara:
00:22:50
launch squad for my upcoming books.
Sara:
00:22:52
I need advanced readers, people willing to write reviews if you like the book,
Sara:
00:22:58
social media amplifiers, and really Just for folks to be excited, to help
Sara:
00:23:03
me get over the days where I don't feel so excited, or I feel scared
Sara:
00:23:08
to get this book into the world.
Sara:
00:23:10
If that might be you, join the squad at findrc.co/launchsquad, and I cannot
Sara:
00:23:16
wait to get this book into your hands.
Sara:
00:23:19
Thank you for listening.
Sara:
00:23:24
All right, friends, That's it for today.
Sara:
00:23:27
stay in the loop with everything going on around here by
Sara:
00:23:30
visiting findrc.co/newsletter and joining my mailing list.
Sara:
00:23:36
Got questions?
Sara:
00:23:37
My email addresses are too hard to spell, so visit findrc.co/contact
Sara:
00:23:43
and shoot me a note that way.
Sara:
00:23:45
You'll also find me at @saralobkovich on most of your
Sara:
00:23:49
favorite social media platforms.
Sara:
00:23:50
For today's show notes, visit findrc.co/thinkydoers if there's
Sara:
00:23:57
someone you'd like featured on this podcast, drop me a note.
Sara:
00:24:00
And if you know other Thinkydoers who'd benefit from this episode, please share.
Sara:
00:24:05
Your referrals, your word of mouth, and your reviews are much appreciated.
Sara:
00:24:09
I'm looking forward to the questions this episode sparks for you, and I
Sara:
00:24:13
look forward to seeing you next time.