# Shattering AI Misconceptions with Tiago Forte

## Episode metadata
- Episode title: Shattering AI Misconceptions with Tiago Forte
- Show: Promptly Speaking
- Owner / Host: Sara Roberts
- Guests: [Tiago Forte](https://share.snipd.com/person/ba8e3666-e637-4162-909e-14ade22700c1)
- Episode publish date: 2025-10-21
- Episode AI description: Tiago Forte, a productivity expert and best-selling author, joins the conversation to debunk myths surrounding AI. He emphasizes AI's role as a thought partner rather than just a task automator. Forte shares insights on unique AI applications, including a case study from a sugar mill in Guatemala where AI transformed operations. He discusses the generational shifts in business and how cultural attitudes towards AI impact its adoption. Additionally, he reveals how AI can revolutionize recruiting and personal finance, challenging listeners to find their own 'AI spark'.
- Mentioned books: [The Structure of Scientific Revolutions](https://share.snipd.com/book/27910a2c-b259-4d69-9b24-2a372eec0f63) by [Thomas Kuhn](https://share.snipd.com/person/d4365c85-d310-4aea-b1cd-fdc23f6d4b76)
- Duration: 45:23
- Episode URL: [Open in Snipd](https://share.snipd.com/episode/6ebe63c8-18b4-47b6-a909-65341ab58067)
- Show URL: [Open in Snipd](https://share.snipd.com/show/181e4e97-269b-4b1c-8f35-c5febb7359ef)
- Export date: 2026-02-17T23:28:21
## Snips
### [AI As A Thought Partner](https://share.snipd.com/snip/bd717d4a-faf1-40b7-b669-721c60b633c2)
π§ 02:29 - 04:27 (01:57)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/7fc2bf73-8c7c-4aa4-9b28-a23c2c40abf3"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- AI will impact decision-making and creative collaboration sooner than low-level task automation.
- Tiago Forte says AI shines as a thought partner for exploring scenarios, strategies, and models.
#### π¬ Quote
> ...shift people's mindset from like low level task automation...to this other realm, which I would describe as...a thought partner.
> β Tiago Forte
Tiago Forte on where AI creates the most value
#### π Transcript
**Tiago Forte:** I think it has to do with where AI is going to impact companies the soonest or the most directly. Um, there's so much emphasis now on, like task completion. Right. And it's kind of understandable. Like everyone has groundwork. Everyone in the world from the most junior entry level person to the biggest CEO, has some percentage of their time that's grunt work. And we all can't wait to offload that to AI. And so you see this big emphasis on automation. What can AI automate? What can it essentially take over from what's currently on my to-do list? And there are some things that can, but surprisingly not that much. Because you get the simplest task like, go online and pay my bill. AI cannot do that. And so by that test, it fails. It fails at one of the most, what is to us, one of the easiest tasks. Logging onto a website and paying a bill. And so what we had to kind of do was shift people's mindset from like low level task automation, where AI is surprisingly not that capable to this other realm, which I would describe as, as being a thought partner, as thinking through possibilities, scenarios, decisions, making better decisions, testing out different pathways, different models, different business models, different pricing models, different go-to market models. Almost the way that you would use or that you would work with either another leader or executive on your team, assuming that you're a leader, right? Like that, that's sort of like a sparring that you would do sort of testing out and iterating and developing an idea or a decision or a point of view. Or if not internally, you would work with an, with a coach, with an external coach. That is where AI is the most powerful.
---
### [AI Hallucinations Aren't Unique](https://share.snipd.com/snip/89c8faa3-27de-4c54-935f-13f15920c20e)
π§ 04:38 - 05:30 (00:52)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/fc0c4175-982c-46f4-b7b1-4a4133c34c70"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Humans also hallucinate, so AI errors are not categorically worse than human errors.
- Tiago Forte argues we already use social checks to correct human mistakes and can apply the same to AI.
#### π¬ Quote
> I don't think it's that big of an issue. I think mostly because humans also constantly hallucinate.
> β Tiago Forte
Tiago Forte on accuracy and citations in AI
#### π Transcript
**Tiago Forte:** Yeah, that's a surprisingly big topic. I say surprisingly because to me, I don't think it's that big of an issue. I think mostly because humans also constantly hallucinate.
**Sara Roberts:** I
**Tiago Forte:** don't get where this double standard comes from. You know, if you're working with a human, any human, no matter their level of experience, you would expect them to make mistakes sometimes. You'd expect them to not cite their sources you'd expect them to sometimes have just biased or mistaken or out of proportion beliefs and views i mean the whole gamut of human biases and we have we have mechanisms for correcting for this right all sorts of mechanisms from like in the midst of conversation like oh are you sure about that?
---
### [AI Is A Mirror To Humanity](https://share.snipd.com/snip/42604fa4-99ba-43a9-be3d-fbb03ef57959)
π§ 07:42 - 08:43 (01:00)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/46c0e540-fb8e-4901-b8c9-6a2b63f448dd"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- AI reflects the individual user, the company that built it, and humanity's collective culture.
- Tiago Forte calls AI a multi-level mirror that surfaces our projections and biases.
#### π¬ Quote
> AI for me, I really think of it as a mirror at different, at multiple levels.
> β Tiago Forte
Tiago Forte defining AI
#### π Transcript
**Tiago Forte:** So I think AI for me, I really think of it as a mirror at different, at multiple levels. It's a mirror individually for the, for the person, the individual using AI. It's a mirror at the level of the company creating the LLM. Cause you see that every LLM completely reflects the culture of the company that created it. And then at the highest level, it's a mirror to humanity because what else could it be? It's trained on nothing but humanity's, you know, collective culture. So part of that too, part of being a mirror is generally every opinion that you have about AI as a projection, which is also true of humans, by the way, but let's just limit ourselves to LLMs for now. Everything, it's a very fascinating thought exercise to every label or opinion or judgment, especially judgment that you place onto an AI to just ask yourself, how is that actually true of me? Or how is that a pattern that I tend to see everywhere and in everyone that I'm actually responsible for perpetuating?
---
### [Fear Comes From Self Projection](https://share.snipd.com/snip/051eed00-7216-4e9f-ba07-ffeaf84f0787)
π§ 09:16 - 10:34 (01:17)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/ea48ebcd-fa7b-4bf7-b8cc-baf3a7220fb7"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Fear of AI often stems from projecting our own flaws onto the technology.
- Tiago Forte says technology amplifies projections and accelerates how outcomes spread.
#### π¬ Quote
> We're terrified of ourselves...you make a projection onto someone or now something when there's a part of yourself that you cannot face.
> β Tiago Forte
Tiago Forte on why people fear AI
#### π Transcript
**Dan Roberts:** Because
**Tiago Forte:** we're terrified of ourselves. I mean, I love I love thinking of this in terms of projections because that is a body of psychology and research and therapy and stuff that goes back a long, long, long time. proven thinking on projections is you make a projection onto someone or now something when there's a part of yourself that you cannot face or you're not willing to see or you're not willing to accept and embrace so it's easier to externalize it and then judge and condemn that aspect of what is really yourself and ai just amplifies that that. What it really does is it brings projections from the realm of human to human relationships into working with a technology tool. Technology increases the spread of outcomes, right? It just does because some people use technology to save work, to save labor, including many kinds of labor that make them better people. While other people use technology as a form of leverage to accomplish more, faster, better, including making themselves better.
---
### [Backlash Over Using AI For Writing](https://share.snipd.com/snip/d447e05c-8f45-486c-b078-ea4fabcb4c17)
π§ 11:58 - 13:24 (01:26)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/3173b9b0-974d-40b3-9b37-33f08e5282da"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Tiago Forte received angry backlash after posting an AI-writing video but views it as useful feedback.
- He compares early AI use to cringe early days of platforms like TikTok and YouTube.
#### π¬ Quote
> Every technology goes through the cycle...It's embarrassing to use AI. It's corny, cliche it's campy it's low taste.
> β Tiago Forte
Tiago Forte on backlash to his AI writing video
#### π Transcript
**Tiago Forte:** There's a couple of things first as a creator or any sort of public anything, you're just used to it. I mean, it's just part of the game. You can't get around it. You can't avoid it. Even if you could avoid it, I don't think it would be healthy because those comments are a form of feedback. I think that is pretty important. Otherwise you can just, you can become sycophantic with your own audience. You can say only things that they approve of, only things they want to hear, only things they already expect. It's actually quite healthy, I think, to have occasional bouts of uh vitriol love that um and then a couple other things too is like i think it's important every time there's a new wave of technology or media or or art or whatever it's always cringe in the beginning it's extremely cringe right like think back a few years ago, if you were on TikTok early, like the first TikTokers, it extremely, it was so embarrassing to be a TikToker, right? YouTube, this is almost hard to remember now, like years ago, but it was so incredibly cringe to be a YouTuber, you know, in the 2000s. Now it's like you're a media mogul if you're on YouTube. Yeah. I
**Sara Roberts:** mean, online dating was like that. Now it's like everybody meets people online. Oh my God, you met your boyfriend online? Exactly.
**Tiago Forte:** Every technology goes through the cycle. So I think we're definitely in that phase of AI. It's embarrassing to use AI.
---
### [Question Sacred Cows For Value](https://share.snipd.com/snip/1843af84-5943-4af9-b795-8f42f68ec432)
π§ 15:30 - 16:43 (01:13)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/bad786c2-836f-4cd7-88d2-9ff0e3d8cdb6"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Tearing down sacred cows reveals insights, opportunities, and personal growth.
- Tiago cites Venkatesh Rao's approach: question revered practices to unlock value.
#### π¬ Quote
> When you tear down a sacred cow, there's tremendous insight behind that.
> β Tiago Forte
Tiago Forte on sacred cows and backlash
#### π Transcript
**Tiago Forte:** It's a bonanza of value when you open up one of those sacred cows.
**Dan Roberts:** It's less about what I'm hearing right now is less about AI. It's just more about change and the fear that goes along with new things that are happening. I mean, think of a child trying something new. They're afraid they're going to fail. An adult trying something new. What happens if I'm not great at this? What happens if I completely miss the basketball hoop and everyone laughs at me? Fear of the unknown. Yeah, it's no different now. And I'm curious, because I am very much in the business world, how do you see this fear materializing or being different in the, you know, of people commenting on your YouTube videos versus the clients you have and how they are progressing through these different stages of comforts and expertise? Yeah,
**Tiago Forte:** I think you're absolutely right. I think it is fundamentally about change. It really is about change. People's attitudes towards change, their relationship to change, their ability to weather change. Okay, so taking a couple steps back, what I notice is, and this is not an original observation, the generations, what you think of as generations are shortening.
---
### [Business Paradigms Are Speeding Up](https://share.snipd.com/snip/825235c0-edfd-4ad7-beaf-141ee21e6969)
π§ 16:43 - 18:16 (01:33)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/3edb4559-a75c-45a5-a280-ed209d9f7d4c"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Business and cultural paradigms are accelerating; multiple generational shifts can occur within a career.
- Tiago Forte notes online business cycles now change in 4β5 years rather than decades.
#### π¬ Quote
> Now we're seeing multiple generations within a single career...four to five years is the online business cycle at this point.
> β Tiago Forte
Tiago Forte on generational shifts in business
#### π Transcript
**Tiago Forte:** It used to be there was a paradigm shift in business. I mean, we know a human generation is every 30 years right and i would say actually probably go back a couple hundred years and business cycles big paradigm shifts in business probably took multiple generations right you might do similar work or the same work as your parents or even your grandparents then in like the mid-20th century or, it became like one business cycle per generation, right? Which was sort of still okay because you would do more or less the same thing for your career, your 30 to 50 year career. Now we're seeing multiple generations within a single career, right? Where I really noticed this is like with online creators. I host a mastermind retreat and I do like conferences and a lot of like meetups and in-person things. And when I talk to an online creator who is even about four or five years, either before or after me, it's a different paradigm. Like four to five years is the online business cycle at this point. Like I started my, you know, my self-employed career in 2013, right? Which was the era of long form blogging. YouTube was already huge. Of course, it was early days for podcasting. It was kind of early days for social media. was a Facebook era. You can just run down the list. Someone starting in 2018, totally different, much less or 2025, totally different era, whole different set of platforms that are dominant, whole different set of mediums. And so maybe as online creators, we're faster than normal.
---
### [AI Adoption At A Guatemalan Sugar Mill](https://share.snipd.com/snip/ebf77f8d-14dc-4b4e-9b41-89bb663aa34a)
π§ 23:26 - 24:24 (00:57)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/57450154-e746-4cf7-9a31-d8e96dbbfaaa"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Tiago visited a Guatemalan sugar mill and found nearly every team adopting AI enthusiastically.
- The company's adoption surprised him given the traditional industry and protected market status.
#### π¬ Quote
> You would not believe this...this company in this, you know, ancient industry...is adopting AI.
> β Tiago Forte
Tiago Forte recounting the sugar mill case study
#### π Transcript
**Tiago Forte:** Right. So I flew down there and I spent a day touring. There's like the like thousands of hectares of sugar cane. And then there's the factory where they process it. And then they have all these kind of subsidiary businesses like they they burn the sugar cane to generate electricity. They have like biodegradable, like sustainability products. They like a whole bunch of different things. And you would not believe this, this company in this, you know, ancient industry in this underdeveloped country. Um, it's also a protected industry. They don't really face competition. So you would think, oh, they have no incentive to innovate. They're adopting AI. Like you would believe. I sat in this conference room and like half the day, they had team after team after team. They probably had seven or eight different teams come in and present to me how they're using AI. That's so cool. Every single team, every single team was embracing it to an incredible degree. So like, why is that?
---
### [Top-Down Leadership Drives Early AI](https://share.snipd.com/snip/35f981c7-62a4-424a-9d65-994af3138f58)
π§ 24:39 - 25:11 (00:31)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/d86e5773-1009-4954-ac66-52870927e3ef"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Early AI adoption is often driven top-down by founders or owners, not by competition yet.
- Tiago Forte observed leadership priorities lighting a fire under whole organizations to adopt AI.
#### π¬ Quote
> At this early stage...the founder or owner is lighting a fire under everyone and...this is a priority and that's driving all the adoption.
> β Tiago Forte
Tiago Forte on drivers of AI adoption in companies
#### π Transcript
**Tiago Forte:** i would have to say based on what i saw and actually this this is a common pattern um at this early it's kind of like at this early stage, the competition has not heated up enough where it's truly like adopt AI or go out of business. Like we'll get there. It's more like the founder or owner is lighting a fire under everyone and sort of, you're right, like down saying that this is a priority and that's driving all the adoption.
---
### [Run Small AI Experiments Fast](https://share.snipd.com/snip/0afc973a-0760-4f42-8777-286e8d14b39d)
π§ 26:01 - 26:36 (00:34)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/9647a20d-ed42-4bc1-9da3-893356a323d9"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Encourage experimentation and low-cost pilots across teams to learn quickly from AI trials.
- Tiago Forte suggests cultures that truly support bottom-up experimentation will adapt fastest.
#### π¬ Quote
> Half of this stuff is going to fail...but as long as we're not sinking tens of millions of dollars into them too soon, then it's a good way to learn.
> β Tiago Forte
Tiago Forte on experimentation and business culture
#### π Transcript
**Tiago Forte:** Yeah, I think that's right. I think what you're seeing now is people always talk about the importance of culture and, you know, business culture and all that stuff. Now you're really seeing the effects of that because everyone says, oh, we're open to experimentation and, you know, blah, blah, blah, all the headlines. But now you're really seeing,
**Sara Roberts:** you
**Tiago Forte:** know, which cultures really are bottom up, which ones do really have low power hierarchies where people are allowed to say things and do things? Which ones, you know, are open to change? Which ones like, like this, this is the proof in the pudding now with AI.
---
### [Winning RFPs With Past Contracts](https://share.snipd.com/snip/04f1bef2-be76-4d92-afad-81077c489e6b)
π§ 29:21 - 30:47 (01:26)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/749f5553-e63a-4c7e-918f-e0d404888dfe"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- An engineering consulting firm fed 380 winning contracts into an LLM to score new RFPs by success probability.
- They then only pursued high-probability RFPs and auto-generated winning proposals from past winners.
#### π¬ Quote
> He dumped that into a project in Claude...and said...evaluate RFP and give me a probability of success.
> β Tiago Forte
Tiago Forte describing an RFP-scoring use case
#### π Transcript
**Tiago Forte:** So they're like consulting on sizable construction projects and engineering projects. And I think the owner's name was David. He looked at their process for receiving, applying for, and winning contracts, right? So think about the typical process. You know, oh, hey, everyone. Numbers are down. We need new business. Okay, go out, find RFPs. Okay. These are the RFPs. Okay. Read through them. Find the best ones. Okay. These are the ones that like, like you could just extrapolate that out to like, not even days, weeks, if not months of work. Right. What David did is he got a folder with every contract they'd ever won in the history of the business, like 380 something contracts or something, which is a small amount of data for an LLM. That's easy. Right? Dumped that into a project in Claude and said, you know, this is the database of our winning contracts. From that point forward, every time an RFP came in, the day that they found the RFP, he would drop it directly into the project and say, this RFP and give me a probability of success. Right. 70%, 85%, 95%, which you could do in 30 seconds. Right. It's like easy for an LLM. They only apply. They don't even try to go for the ones that have less than a 85 or 90% chance of success.
---
### [AI-Assisted Candidate Sourcing](https://share.snipd.com/snip/977f3a65-1ba6-48fb-92ab-90091e281848)
π§ 32:13 - 33:32 (01:19)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/84326afb-3af2-47ac-9075-af23ec3d0893"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Sara Roberts used Claude to rank sourced candidate profiles and draft tailored outreach messages.
- She uploaded hiring notes and past candidate outcomes to speed sourcing and write better summaries.
#### π¬ Quote
> I would put a batch of maybe 10 and I would say, rank these and tell me why or why not they would be a good fit.
> β Sara Roberts
Sara Roberts on using Claude for recruiting tasks
#### π Transcript
**Sara Roberts:** Well, it just reminds me of my recent search that I did. I work with the client, I help them figure out who they need, what the criteria is. And then I go to LinkedIn recruiter and I source the shit out of these people. I'll go through thousands of profiles over the course of a search, which can take several weeks. I'll maybe reach out to a hundred people. And it's very important to me that the people that I reach out to are almost guaranteed to be a near perfect fit on paper because my time is so valuable. And I thought, well, how can Claude help me with this? And so I took all of my notes from conversations that I had with the hiring manager and the recruiter and the CEO. And then they also shared with me a bunch of profiles of candidates that had worked and not worked in the past and when they dropped out of the interview process. And I uploaded all of those to Claude, asked more questions about the profile. And then when I would come across a candidate that I thought would be a good fit, I would put them in or I would put a batch of maybe 10. And I would say, rank these and tell me why or why not they would be a good fit. And I took it from there as well.
---
### [Use AI To Model Many Scenarios](https://share.snipd.com/snip/10570842-1c16-4ca9-909a-67d7182916d0)
π§ 35:21 - 38:36 (03:15)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/4f36c2a3-9304-44fb-bc5d-0de2680430f1"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Use AI to model many scenarios and ask iterative, specific questions to surface options you hadn't considered.
- Tiago Forte shows AI can generate nuanced financial and business scenarios that expand decision horizons.
#### π¬ Quote
> I have spent more hours in the past just few days asking a far greater variety of questions than I ever did across all those years.
> β Tiago Forte
Tiago Forte on using AI as a financial thought partner
#### π Transcript
**Tiago Forte:** What will it never be able to do no matter how much oversight? That's where all the nuance lies now.
**Sara Roberts:** So you talked at the beginning of this conversation about AI being a thought partner. For our listeners, how do you even β I feel like a lot of people when they first play with AI, they use it like Google search, which I still do sometimes. But I think that that is a bit of a leap to, to from Google search to thought partner, what, how can you break that down for me or give me some suggestions of how to, how to make that leap? Yeah,
**Tiago Forte:** I have a good, a good example of this just from the past couple of days, which was looking at finances, which might be a surprise because we've already sort of been taught to expect AI to not be good with numbers. That's already passed. It's excellent with numbers, I find. And so like it's fascinating to me, you know, looking at β so let's start, it was really both our personal finances and the business finances, but starting with our own. Thinking back to how I've gotten financial advice over the years, right? Like originally a decade ago when we started our careers, we did the classic, you know, financial advisor billing us based on what? Assets under management,
**Sara Roberts:** right?
**Tiago Forte:** So we didn't have a ton of assets kind of thankfully. But looking back, I estimate we definitely spent tens of thousands of dollars with her probably in the realm of 40 to $50,000 over the years, right? And we would get on a call with her once, not even once a quarter, maybe two or three times a year, you know, and ask questions, which we sort of got ambiguous answers to. So that was the first era. Second era, we followed Ramit Sethi's advice and found a financial advisor that just charges a fixed rate. I think it was like $2,500. And over the course of three or four calls, he built a whole financial plan for us. That's much better, right? Well, the past, days, this week, I got that plan that that guy created, all of our bank statements, a whole bunch of other documents that have essentially our entire financial life. And I have spent more hours in the past just few days asking a far greater variety of questions than I ever did across all those years. Like, you would not believe how many scenarios, you know, like what happens if we move to this country versus that country? What happens if we have another kid or if we don't? How do we, assuming there's a continued financial and political instability in the U.S., how do we reduce our exposure to the U.S. dollar? Each one of these led down a whole path. You know, should we buy a new car? What are the implications of that? Should we rebalance our portfolio? I've realized that I have had in my brain a lifetime of questions. I just never had anyone that I could ask. They're just like pouring out of me like a whole different life paths that I didn't even know if we could afford it. I'm now modeling multiple alternative scenarios with, you know, risk bands. What is the range of outcomes? What can I do to raise the floor of that band?
---
### [Find Your Personal AI Spark](https://share.snipd.com/snip/63bfed60-168a-435a-b37d-40b9d4fbe70f)
π§ 41:02 - 42:38 (01:36)
<iframe
src="https://share.snipd.com/embed/obsidian-player/snip/d2994b7c-935f-430b-856e-b055fd60b371"
width="100%"
height="100"
style="border: none; border-radius: 12px;"
sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-clipboard-write"
></iframe>
- Find a personally important problem and test AI on it to trigger an 'aha' about its potential.
- Tiago Forte recommends picking a need (fitness, recipes, finances) where AI can show transformative value.
#### π¬ Quote
> Try to find that...it has to hit on something that is very important to you.
> β Tiago Forte
Tiago Forte advising listeners how to get an AI 'spark'
#### π Transcript
**Tiago Forte:** I think what you're calling a spark, which you could also call like an aha moment or a mindset shifting moment, just comes from the first time you see AI do something that challenges your worldview. That just makes you go, okay, that wasn't just like a cool trick. That changes the landscape possibility. Like this thing with my finances, the literal way that I see the world, the landscape of possibilities, options, pathways, and also risks and challenges and downside is fundamentally shifted. Like really shifted. I'm considering entirely new life choices. My wife and I just the past few days have been discussing them in light of what we've learned. Like that's, that's a spark.
**Sara Roberts:** Yeah.
**Tiago Forte:** And so, so what I would tell people is just try to find that. And it looks very different. You know, it looks very different. I think it has to hit on something that is very important to you. You know, the first time the buff realizes they can put in their workout tracking and get a highly customized, tailored and adaptable workout plan that is way more customized than any app can ever give you. And they realize they can just take a photo of what's in their fridge and say, give me a recipe for something that is nutritious, easy to cook and fast just based on what I have right here. I love
**Sara Roberts:** that example. I'm going to do that later.
**Tiago Forte:** You got to find that use case. Yeah.
---
Created with [Snipd](https://www.snipd.com) | Highlight & Take Notes from Podcasts