The GTM Podcast is out there on any main listing, together with:

Kieran Flanagan is the SVP of Advertising and marketing at HubSpot and Co-Host of Advertising and marketing Towards the Grain. A longtime operator and investor, he’s on the forefront of how AI is reshaping go-to-market. With a background in engineering and years main progress and advertising and marketing groups, Kieran now spends his time constructing, experimenting, and sharing classes on how prompting, brokers, and personality-led progress will outline the following period of software program corporations.

Mentioned on this episode

• Why prompting and context engineering are a very powerful abilities for GTM operators
• How “vibe prompting” accelerates studying and output with LLMs
• The three keys to constructing AI fluency inside groups
• Measuring ROI from AI throughout gross sales, advertising and marketing, and operations
• Why each skilled is now a supervisor (of AI brokers)
• How web sites will evolve into multimodal closing mechanisms
• The rise of personality-led progress in B2B advertising and marketing
• Why curiosity and persistence matter greater than ever in an AI-first world

Episode highlights

00:46 — The 100x distinction between good and dangerous prompting
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=46

03:57 — The rise of “context engineering” as a GTM ability
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=237

07:22 — Kieran’s 3-part framework for AI fluency inside groups
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=442

09:31 — Why “vibe prompting” is as highly effective as vibe coding
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=571

11:00 — How AI boosts conversions & deal velocity in gross sales workflows
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=660

15:10 — Utilizing ChatGPT reminiscence as a customized prompting coach
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=910

22:19 — Everybody now manages a PhD-level AI intern
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=1339

31:12 — The three greatest shifts coming to GTM: affect, AI optimization, multimodal
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=1872

37:42 — Why AI makes human creativity extra useful than ever
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=2262

43:06 — The grind, reps, and curiosity as the last word AI abilities
Watch: https://www.youtube.com/watch?v=FDoT3ZVhwhk&t=2586

Key takeaways

1. Prompting is a must have ability
Prompting and context engineering will outline the following era of data work. Those that grasp them can outpace friends by 100x in output high quality.

2. AI fluency scales via tradition, not coaching
Immediate guides, Slack channels for sharing use instances, and AI hackathons assist groups undertake sooner than formal programs.

3. Measure AI by outcomes, not exercise
ROI is clearer in conversion charges and deal velocity than in productiveness metrics, which stay arduous to quantify.

4. Everyone seems to be now a supervisor
With AI assistants as “PhD-level interns,” each data employee must study delegation, coaching, and suggestions loops.

5. Prompting is iterative, not instantaneous
Nice prompts require repetition and refinement (generally over days) to succeed in production-level high quality.

6. Character will beat key phrases
In B2B, personality-led progress (podcasts, newsletters, YouTube) is changing keyword-optimized blogs as the first driver of affect.

7. AI engine optimization is the brand new web optimization
95% of B2B journeys will quickly begin in LLMs, making visibility inside AI assistants extra vital than Google rankings.

8. Web sites are shifting to bottom-of-funnel
As analysis occurs in AI, firm web sites will shrink into multimodal closing instruments with gross sales brokers inbuilt.

9. Creativity issues extra, not much less
AI is a robust assistant, however human creativity remains to be the differentiator in breaking via noise.

10. Curiosity is the last word moat
The quickest learners (those that experiment relentlessly with AI) would be the new winners in GTM.

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GTM 165 Episode Transcript

Kieran Flanagan: 0:00

Everybody actually has a PhD degree intern that they’ll work with without spending a dime. Prompton is a suppose or swim ability. If I needed to let you know that promptin is a ability to study, I don’t suppose you’re the appropriate particular person to be within the firm. I’ll provide you with three nice ideas.

Sophie Buonassisi: 0:38

Why do you suppose immediate engineering, like the flexibility to ask the appropriate questions and information these fashions, will likely be such a defining ability for the following few years?

Kieran Flanagan: 0:46

There is sort of a 100x distinction in your output when you actually knew the right way to immediate the engines within the appropriate means.

Sophie Buonassisi:0:54

Two years in the past, Jiren Flanagan made himself a dedication.

Kieran Flanagan: 0:57

There’s simply nobody that may know greater than AI about me when you’re a go-to-market practitioner as a result of nobody goes to work as a lot as me in AI.

Sophie Buonassisi: 1:04

Since then, he’s handled prompting like a craft, spending days perfecting single immediate. That obsession led him to an excellent larger perception. Immediate engineering, the way you act, and context engineering, what you feed the mannequin, are shortly changing into 4 abilities that each single particular person will want. On this episode, we break down his private playbook for up leveling your personal AI abilities, from vibe prompting to easy habits. And keep to the tip for an surprising artistic expertise he’s been quietly sharpening with and with out AI speak. His first response when it got here up.

Kieran Flanagan:1:34

I can’t consider Brian stated it was of all of the issues Brian might have stated about me. All proper, let’s get into it.

Sophie Buonassisi: 1:39

Kieran, welcome to the podcast.

Kieran Flanagan: 1:41

Yeah, thanks for having me on. I’m excited to uh to be on the podcast.

Sophie Buonassisi: 1:45

Yeah, we’re excited to have you ever right here. And there are such a lot of totally different areas that I need to dig in at present, so we’ll soar proper in. However an enormous one is one thing that if anybody, which in all probability everybody right here, does comply with you on LinkedIn, they’ve heard you speak about. And it’s actually that everybody is speaking about utilizing AI. However you stated that, you realize, the unlock is basically how we work with it. Why do you suppose immediate engineering, like the flexibility to ask the appropriate questions and information these fashions, will likely be such a defining ability for corporations within the subsequent few years?

Kieran Flanagan:2 :15

Yeah, I feel immediate engineering remains to be just like the ability to study. I bear in mind once I first began to actually obsess about AI, uh, actually when ChatGBD got here out round three years in the past, and I talked to this actually well-known CPO of the Fortune 500 firm who was constructing all of their AI know-how. And he was speaking to me about how he had employed engineers who’d turn into higher immediate engineers than those they’d in Open AI. Whether or not that was true or not was like irrelevant as a result of what he was actually telling me was there is sort of a hundred X distinction in your output when you actually knew the right way to immediate the engines within the appropriate means. And that was three years in the past. Now we have at all times sort of considered immediate engineering, which is the flexibility to sort of like ask the AIs in the appropriate means for the duty you need to full and the result you need to get. And we’ve at all times, I’ve at all times thought like ultimately do you not want that ability, proper? As a result of the LLMs turn into so good that they’ll simply do the prompts themselves. And we will get into that. I feel that isn’t true at present, however they’re definitely nice help. And however for me, I I that’s caught in my mind, which is wow, like if I actually study this ability, I’m gonna be a lot, significantly better than everybody else. And I nonetheless suppose that’s how I really feel about immediate engineering at present, which it’s a like essential ability if you’re a know-how employee to have the ability to perceive the right way to work with these fashions. Now, the factor I might layer on high of that’s there’s immediate engineering and there’s additionally context. And I feel context is a extremely vital factor, which is how do I present the appropriate context to the mannequin so it is aware of sufficient about what I’m attempting to do to offer me a extremely nice output. So I feel that context, which is changing into its personal self-discipline, context engineering, context plus prompts actually provide the ability set you could be an unimaginable modern-day data employee.

Sophie Buonassisi: 3:57

Tremendous attention-grabbing. I haven’t heard lots of people speak at size concerning the context facet. How would you say these are totally different abilities from one another? Like if any go-to-market operator, founder, investor is seeking to upscale in each of these areas ideally, how do they differ from one another and the way ought to individuals be approaching them?

Kieran Flanagan: 4:17

Yeah, I feel immediate engineering is how I craft the ask to the LLM. Now lets say, nicely, a part of the immediate is to offer the mannequin context. So giving the mannequin context is giving it the correct quantity of knowledge to have the ability to full the duty on the degree I would like. And I feel all of those fashions get a lot, significantly better whenever you may give it the appropriate, proper context. And that goes for all of AI it we’re deploying throughout throughout our go-to market. Like when you can truly ingest the appropriate context for the mannequin so it actually understands what you are attempting to do and it actually understands what attractiveness like, it might probably truly produce a lot, significantly better outcomes. However understanding the right way to give it the context is a ability to study. Like a extremely simplistic one for sort of most entrepreneurs is, you realize, you you once I hung out with entrepreneurs a few yr in the past, I used to be actually into is AI author? And might AI replicate somebody’s writing type? And might AI produce one thing that you might simply copy and paste and nobody would know? And I hung out with numerous entrepreneurs as a result of I constructed a device on the time to sort of like see if that was true and look to see how they prompted the AI to create content material as a result of they have been all telling me it’s garbage, it’s dangerous. And you’ll go to them and you’ll look to see what they have been doing, and they might say, write me a LinkedIn put up about the right way to do lead era. That’s it, that’s their whole immediate. And there’s some basic issues incorrect with that immediate. So, to begin with, you’ve given it, you haven’t given it context on what put up seems like and why that good put up is an efficient put up. Such as you do some evaluation, you say, right here’s the context, right here’s a put up that did very well, right here’s the context of why it did nicely, and that is the sort of factor I needed to copy to. The opposite attention-grabbing factor right here, which is sort of a actually attention-grabbing little tidbit about prompting, is in that immediate, as a result of I say create me a quote unquote LinkedIn put up, as a result of the LLM has a coaching set with numerous LinkedIn content material, and LinkedIn content material is mostly not good, it’s gonna create one thing not that good. And so you shouldn’t say LinkedIn, you must simply say like an incredible put up, proper? Don’t give it the platform as a result of it’ll attempt to skew in the direction of that platform. However mainly, if they’d crafted a immediate to offer it a context of like a put up that carried out very well, some context on why that put up carried out very well, after which the opposite factor, simply sort of make that immediate just a little longer to say, listed below are some writers that I like and provides the names and are actually good, mimic their type and it will go off and like replicate that type. So there’s like methods you can make it a lot, significantly better. However lots of people do lazy immediate them. They simply say, like, create me a put up about this factor and 10 factors, proper? And that’s why you you place rubbish into it, you get like actually dangerous outcomes again, and that’s what’s occurring.

Sophie Buonassisi: 6:51

Yeah, the the context virtually issues essentially the most now. And I’ve heard you speak about AI fluency at size and the way it’s gonna be the ability that I imply is is completely central for each single go-to-market particular person and founder. So once we take into consideration prompting, are there frameworks or psychological fashions that you realize you coach individuals on to make use of when designing these prompts? Such as you simply gave a extremely, actually nice tactical one. We even take a step again. Like, how do individuals start?

Kieran Flanagan: 7:22

Yeah, so I I’ve had numerous good dialog with founders who’re attempting to make their group way more AI fluent. And there’s sort of I I at all times inform them don’t over-engineer this. However plus, I’m undoubtedly on the extra cutthroat facet. So I need to just like the the let possibly the much less empathetic facet. So I mainly inform them look, there’s three issues which are gonna matter to make your group way more fluent in AI. First one, prompting is a ability they should study. Second one, inspiration is an enormous a part of how individuals speed up and develop their utilization, which suggests if in case you have a shared Slack channel, you’ve gotten individuals who put the issues that they’re doing which are engaged on that Slack channel, and there’s only a stream of issues that persons are doing. That’s truly one of many primary ways in which individuals study inside corporations the right way to use this for their very own self-discipline as a result of they’ll see how different persons are utilizing it. And in order that’s that inspiration half is basically, actually massive. After which the third one is like mini hackathons. So hackathons was once a developer factor we did, proper? Once we have been for particularly for builders and engineers, I used to be an ex-engineer and developer, was by no means superb at hackathons as a result of it was a extremely dangerous coder, however can I’ve a vibe code, which is basically good. However hackathons, now we will all do them. Like go to market groups can do them. Advertising and marketing can construct AI workflows, gross sales can construct AI workflows. And so these hackathons the place individuals get collectively and construct issues in AI is one other nice studying method. However to come back all the way in which again to the very first thing by way of prompting, I feel prompting is a sync or swim ability, which suggests if I’m an individual, if I’m your supervisor, your founder, if I’ve to let you know that prompting is a ability to study, I don’t suppose you’re the appropriate particular person to be within the firm as a result of there may be sufficient data to let you know that AI is vital. Prompton is how you’re employed with these machines. And each there may be a lot data on the market about them. So when you go to OpenAI, they’ve these cookbooks that let you know the right way to do immediate and per mannequin. When you go to Anthropic, they’ve prompting guides. When you go to Gemini, they’ve prompting guides. There’s no excuses, however I may give some ideas for individuals to actually speed up their prompting abilities in a quote unquote vibe means, proper? Like, which is mainly the LLMs are going to do numerous this for you. And that’s the shortcut. I don’t suppose individuals understand that the LLMs, when you work with them accurately, can truly speed up your capability to immediate fairly, fairly quickly.

Sophie Buonassisi: 9:31

I don’t know if it’s on the market already, however I feel you simply coined vibe prompting, Kieran.

Kieran Flanagan: 9:36

I do know. And it’s truly what’s attention-grabbing is true, now we have ViMarketing, Vibe, Vibe Advertising and marketing, Vibe Coding. Now we have anybody who hangs round rather a lot on LinkedIn, I’m on LinkedIn, LinkedIn rather a lot. Now we have Vibe Cometon, which is mainly persons are placing their LinkedIn feedback and autopilot and having AI do them. The worst use of AI ever. I don’t know why individuals suppose that’s use of AI. However VibeProm is a good suggestion.

Sophie Buonassisi: 9:55

I feel you place a put up out on that yesterday.

Kieran Flanagan: 9:58

Yeah. Like Vibe Prompton is like as highly effective as Vibecodin. I feel it’s like a extremely unimaginable means to make use of LLMs.

Sophie Buonassisi: 10:07

Mm-hmm. It’s actually cool as a result of you’ve gotten an engineering background and you realize, now you’re primarily doing the identical, identical sort of hackathon setups and so forth, however in a go-to-market context. And that’s a extremely useful ability that lends itself to each go-to-market group. I do know we ourselves we had just a little hackathon the place we outlined primarily each single workflow that AI can be monumental or incremental in. After which we rated every, ranked every, and now we undergo workflows the place we construct out AI after which for every of these after which progressively, you realize, progress them on a maturity curve. However the significance is doing it commonly. So Yeah. How do you suppose that’s a good time? How do you consider ROI? Clearly, everyone knows it’s extremely useful, however do you consider it as time saved, lead high quality, conversion elevate, one thing else?

Kieran Flanagan: 11:00

Nicely, I feel when you when you combine AI throughout your go-to market, there’s locations the place it’ll truly enhance your efficiency. And likewise there’s locations the place it improves your effectivity. And so I’ll provide you with a few examples. When you combine AI throughout all your sort of e-mail workflows, so we automate numerous the prospect and that our gross sales reps do, and we will, as a result of we collect sufficient knowledge and knowledge, knowledge layer, the information layer actually issues to the efficiency of your AI use instances. The higher the information high quality, the higher the AI outcomes. And once we combine AI throughout all of our workflows and we personalize these emails to the person, as a result of AI does a extremely nice job of that, we see continuous enhancements in conversion charges. So in that means, we will measure increasingly more conferences being booked for the gross sales reps and fewer quantity of gross sales reps having to spend their time to do this. Now there’s different ones the place we’re constructing AI performance for gross sales reps to really use once they’re promoting, proper? That really helps them improve deal velocity, it helps them to extend their join charges, it helps them to do all of those various things. So think about you’re in our CRM and you’ve got an agent that mainly can summarize all your deal particulars, they’ll summarize all your earlier interactions, they’ll present you nice speaking factors whenever you’re on the decision to say, hey, these are the speaking factors you must hit. In that case, what we take a look at is that if the rep used that AI performance, are we seeing an incremental improve in shut one charges? So we will truly correlate utilization to incremental offers as soon as. So once more, we will even have quantity round that. Now there are different groups the place whenever you combine AI, it’s arduous, it’s a lot tougher to measure. So our product advertising and marketing group at Hustlot is an unimaginable group for adopting AI. And so they use AI in numerous uh numerous attention-grabbing methods. It’s only a tougher factor to love say, nicely, since you’re utilizing AI, what precisely is occurring? And so they’re not the one instance. For essentially the most half, persons are utilizing it to be extra productive, however how do you measure productiveness? What’s the metric for productiveness? I used to be earlier than I used to be in HubSpot, left HubSpot, went to be the CMO GM for self-serve at Zapier. And Zapier are an organization that saved individuals heaps and plenty of time. And I noticed that on a regular basis, which is attempting to say, nicely, you realize, how do I truly, how can we truly showcase the period of time we’re saving you as a result of we’re automating all your work? It’s a a lot tougher factor to do. One of many methods you are able to do is take a look at utilization. Are you truly utilizing these AI instruments and simply measure adoption and utilization and consider that it’s getting higher? However productiveness is tougher than that sort of binary metric the place you may see one thing good occurring in your go-to-market.

Sophie Buonassisi: 13:27

Mm-hmm. Yeah, except you’ve acquired time monitoring throughout each single exercise and each single FTE. It’s it’s a bit extra speaking about it.

Kieran Flanagan: 13:34

That’s unattainable.

Sophie Buonassisi:1 3:35

Yeah, and it’s so arduous to do this. Fast pause. Are you a B2B marketer working campaigns for goal accounts? And you realize the battle. Tedious and guide processes, countless delays to get issues dwell, and gross sales feeling such as you’re not doing sufficient. That’s the place Mutiny is available in. Mutiny is the quickest place to launch breakthrough campaigns on your goal accounts. AI brokers, analysis your accounts, construct customized touchdown pages, and scale every part from LinkedIn adverts to gross sales handouts in a single seamless workflow. No extra stitching instruments collectively, simply smarter, extra impactful campaigns powered by actual knowledge. So you may launch in days, not weeks. See why groups who use Mutiny generate 3x extra account engagement. Guide a demo at mutinyhq.com. That’s mutinq.com. Additionally within the present notes. All proper, again to it. And also you talked about simply earlier than this that, you realize, AI prompting, if individuals aren’t involved in studying about it, it’s not match. Now, you your self, I do know you’ve written about one of the simplest ways to really study prompting or study AI typically, is to really simply do get your fingers soiled, be constructing. What about for people, you realize, that need to study general and need to get higher? Like what would you suggest for individuals to study extra, to do extra, to only general upscale their AI adoption and prompting abilities?

Kieran Flanagan: 14:56

Yeah, I’ll provide you with three nice ideas. And I’ve I’ve this popping out in a Substack put up round Vi Prompton. And so I can’t provide the precise prompts as a result of they’re fairly lengthy. And so I can’t similar to learn them out as a result of individuals will likely be bored to tears.

Sophie Buonassisi: 15:07

We’ll pop it within the present notes for everybody. Yeah.

Kieran Flanagan: 15:10

I may give you typically what I’m doing. And so one of many issues I’m obsessed about is reminiscence. And Chat GPT, now Claude has reminiscence. I think Gemini could have reminiscence if it doesn’t but. And so reminiscence is unimaginable. So when now we have considered these LLMs, we have been like, hey, how have they got lock-in prices? Like, how have they got switching prices? And why can’t you simply go from one AI assistant to the opposite AI assistant? And reminiscence is the lock-in, proper? ChatGPT is aware of a lot about me, my outcomes get higher over time. However what’s actually phenomenal about that’s ChatGPT will be an unimaginable coach. And when you truly immediate ChatGPT to mainly say, from reminiscence, from what you realize about me, take a look at my function, take a look at how I typically use you for the sort of workflows and use instances. And based mostly upon all of that, present me how I might immediate higher. So mainly present me a few of the use instances that I’ve used you for prompting, after which take that use case and present me a earlier than and after immediate on how you’ll enhance that immediate. So ChatGPT itself goes to begin to coach me on how I can immediate through ChatGPT by how I immediate in ChatGPT. It’s sort of like inception, proper? And it’s unimaginable. Now that works for something. When you ask ChatGPT how I can simply use you higher based mostly upon reminiscence, it may give you actually nice steerage simply how I can use ChatGPT. It may give you new use instances, it might probably let you know how you need to use it a lot way more deeply. In order that’s primary is as a result of if you’re utilizing ChatGPT and that cloud has reminiscence, you may truly ask them, if you know the way to immediate, you may truly ask them to mainly information you on the right way to enhance your immediate then with them. And it does a extremely nice job. In order that’s like tip primary is ChatGPT as a prompting coach. The second is definitely essentially the most useful. I began doing this a very long time in the past, is each mannequin for essentially the most half has a immediate and information. And so GPT5 has a immediate and information that mainly got here out fairly just lately. Each mannequin has its personal immediate and information. And so what you’ll do is you’ll take the immediate information and you then would take a customized GPT who’s constructed on that immediate information to be your immediate engineer. So I’ve a immediate engineer that’s a customized GPT for each single mannequin that mainly seems on the documentation after which offers me with the appropriate immediate based mostly upon no matter output I’m attempting to get. So I might say to it, hey, I’m attempting to do that activity. I need to do it in GPT 5. Are you able to give me the appropriate immediate? And it’ll give me an ideal immediate as a result of it’s skilled on that documentation. Now, the opposite cool tip there, if you wish to go one step additional, is I like perplexity. I exploit Perplexity Labs rather a lot. You may ask Perplexity Lab to create a quote unquote onboarding doc for immediate in for every mannequin based mostly upon elite practitioners. Keep in mind that phrase, elite practitioners. It is going to go search for individuals who have actual area authority within the house, create an onboard and doc, and you need to use that to create a customized GPT skilled on that onboarding doc for that mannequin. So once more, you’ve gotten a immediate engineer in your again pocket. So there are two. The third one is you may create, when you actually know the way, you may create prompts to do self-evaluation. And so you may mainly have the totally different fashions consider a immediate and provide you with edits and let you know the right way to get higher. In order that’s why it’s true vibe prompting, proper? I’m utilizing the LLM as an assistant to get higher. Now I’ll simply finish with this. I’ve been constructing a software program with a few good mates, builders. I I mainly was an engineer, needed to be a coder, was not an excellent coder, had acquired fell in love with vibe coding as a result of I used to be like, I can construct an app myself, sort of ship 30,000 strains of code, after which understand, however I can’t actually ship manufacturing prepared software program myself. So I’ve acquired two builders, and I’ve labored on the entire, I’ve been engaged on the entire prompts. And I might similar to whenever you whenever you consider vibe, you could nonetheless do work. And so the LLM may give you a primary draft, however you actually need to work arduous and diligently on the prompts to enhance them, proper? Don’t ever simply you may reduce and paste and it’s a reasonably good immediate, however if you need nice, you continue to want to really edit and enhance that immediate your self. I’ve labored on prompts, uh single prompts for days on finish, like days on finish, simply attempting to excellent this immediate. And so there’s some ideas you can get a lot, significantly better simply through the use of Chat GPT, constructing these customized GPTs, and utilizing the LLM to do self-evaluation.

Sophie Buonassisi: 19:27

Days to create a immediate. That’s unimaginable.

Kieran Flanagan: 19:31

Yeah, similar to iterate and iterate and iterate. And Darmesh had a co-founder of HouseFot had this actually nice line just lately that uh actually sticks with me, which is the standard of outcomes relies upon the quantity of rep repetition you do for that consequence, proper? It’s uh it’s th these strains are in sync. That’s how I really feel about immediate, and the standard of immediate is is just about in sync with the quantity of repetition you do. And I re when you repeat, repeat just a little bit higher, just a little bit higher, you may get it you may iterate your method to like fairly nice outcomes.

Sophie Buonassisi: 19:59

Which is like most abilities, even sports activities, as you practice, proper? The larger repetition, the higher ability set that you simply come out of it with. Now, when you consider prompting and creating these like these fairly complicated prompts that you simply’re engaged on, before everything, I do know for you realize extra the newbie facet not less than, and one thing that I lean on rather a lot is simply asking ChatGVD to create the immediate for me to be just a little hack reasonably than doing the myself after which attempting to refine it and attempting to study backwards. However when persons are progressing and changing into extra mature to the speed that you’re working prompting, what makes a immediate system scalable? Like, how do you truly scale your immediate system? As a result of it seems like refining these prompts prefer it’s fairly time consuming. How do you truly scale?

Kieran Flanagan: 20:44

Yeah, I feel I can I can solely communicate to a few of the issues that I do. There are like nice instruments now that do a immediate analysis, immediate model and management. However I exploit Entropics Console and Open OpenAI’s playground. And so what they’re is you may mainly go in and create your prompts. They’ve actually cool instruments the place like I can go in and say, hey, right here’s my first model, and I can click on just a little button and say optimize and say, Are you able to make this higher? And it’ll present once more options to love make that factor higher. And what I actually love actually is the model and management. So model and management for a immediate is I’ve that first model that I did. Now I’ve a second model that Claude has made significantly better, and I can run each of them, and I can see, I may give it the sort of inputs, and I can see based mostly upon the output how significantly better it’s gotten. And so these two techniques have labored very well for me. Like once more, simply utilizing the OpenAI Playground and I tropic console. However there are in all probability numerous like extra subtle techniques that help you scale your model and management, your sort of immediate analysis and issues like that. I simply I simply haven’t like used them.

Sophie Buonassisi: 21:52

Tremendous attention-grabbing. And folks numerous time discuss with AI now as your co-pilot, proper? Or your co-worker or your co-founder. Do you are feeling like now with AI at everybody’s disposal, everyone seems to be a supervisor or working in a group, though they have been or are a person contributor? Has that modified the way in which that groups are general structured?

Kieran Flanagan: 22:19

Yeah. I I feel you’ve gotten what’s attention-grabbing is everybody actually has a PhD degree intern that they’ll work with, proper? As a result of that’s the that’s the place the open AI mannequin is. And in order that’s sort of bananas. Such as you, you realize, you used to rent PhD degree interns and also you they have been superior. And now you sort of have one without spending a dime. And also you don’t simply have a PhD degree intern without spending a dime, you’ve gotten as many as you need as a result of I can run a number of prompts all on the identical time throughout a number of AI assistants. I do suppose it’s a brand new ability to study. Like prompting is mainly asking asking a wise particular person to do one thing for you. Now you must ask it in sure methods, however there’s lots of people that haven’t needed to work with anybody earlier than, proper? And so, like simply working with individuals and you realize, giving somebody duties is model new. And so everybody has somebody, now everybody has somebody that they’re managing, and that handle that particular person they’re managing is that this AI assistant. So that’s like how one can combine that particular person into your work and begin to actually take into consideration nicely, what’s the issues that that particular person can take off me? And it does take some quantity of thought to do this. And due to that, the place ought to I spend my time to get extra leverage? Proper? Like, the place ought to I sort of 10x my ability set if AI is ready to do a bunch of the issues that I used to do? As a result of I feel that is going to be way more vital sooner or later for me to be a grasp at. After which I feel the opposite means it adjustments it’s like ultimately you should have a group of brokers internally, and data staff could have groups of brokers. And I feel groups of brokers, the ability you must get actually good at is the right way to practice these brokers, proper? So whenever you deploy an agent, you give it a bunch of context, mainly onboarding. Such as you onboard it to the duty and also you inform it how that how what good is, however over time you must proceed to love train it and inform it the right way to get higher. And so this notion of getting an AI coach, I feel goes to be a task in most corporations the place that particular person is basically going to assist practice these brokers to get higher at their activity over time and have somebody that’s gonna handle these brokers, deploy them, onboard them, and enhance them over time, and possibly possibly ultimately give them efficiency opinions and do all that sort of bizarre stuff.

Sophie Buonassisi: 24:27

Yeah, yeah, very true. Everyone seems to be a supervisor. And I’ve learn that you realize individuals can handle personally about six to eight brokers at at most proper now. Whether or not that’s true or not. I imply, what’s your take? What number of brokers do you suppose is feasible for one particular person to handle themselves now? After which what do you suppose it’ll progress to sooner or later?

Kieran Flanagan: 24:49

I I feel the I feel it’s pretty much as good because the again finish this so I’ve it’s truly attention-grabbing. I used to be speaking to somebody about what I feel sticky use instances are in AI. And I feel the administration platforms for AI help is a extremely sticky use case. And so you may think about you’ve gotten a platform the place you may see the entire work that brokers are doing, you may you may practice them inside that app, you may onboard them to new duties. So that you’re like an actual administration platform for for AI, like a model of workday for AI, proper? So dependent upon how good that’s, it’ll improve the quantity of brokers you can truly handle. These platforms are far and few between. I don’t suppose numerous them truly truly exist. So yeah, I feel it I feel it’s going to be predicated. However the different factor is I used to be mess, you realize, I I at all times fiddle with constructing issues. You may have an AI supervisor who manages brokers. I’ve an app, the app that I’m engaged on has a supervisor, and that supervisor is the one giving the opposite brokers duties, not me, proper? And so ultimately it’s like, nicely, what number of are managed by the particular person and what number of are managed by the the precise AI managers themselves?

Sophie Buonassisi: 25:55

Tremendous, tremendous attention-grabbing. And it will probably be attention-grabbing to see if we see extra workday platforms for AI brokers rising. You already know, we’re seeing extra like hey Manning Medina’s firm for monetizing brokers and so forth popping up. So there’s an entire realm of corporations which are both rising or or going to be which are popping out.

Kieran Flanagan: 26:15

Yeah, I I I I’m, you realize, I attempt to be a reasonably lively pre-seeded C stage investor. I’m an investor in one which I’ve like numerous religion in. In order that’s like you realize, I I spend money on issues that I’ve a ton of religion in, and that’s a use case I’ve a ton of religion in.

Sophie Buonassisi: 26:27

Very cool. And you employ you touched round your private use case for AI in a couple of totally different features now. You employ it additionally as a chief of employees. What are the use instances you’d suggest to anybody for essentially the most affect when any individual’s getting began with constructing AI brokers? And naturally, that’s so context-dependent to every particular person, however are there general like synonymous use instances throughout the board of go to market or founders that you simply discovered you suggest to anybody constructing and desirous to up degree their AI use cut up room?

Kieran Flanagan: 27:01

Yeah, I’ve a few attention-grabbing, like actually fast hacks right here. Once more, I wrote it by the an AI progress working mannequin that most individuals might roll out. And there’s a few issues in there. So one of many straightforward makes use of I find it irresistible for is if you’re working a group, one of many seems I prefer to have is it’s known as a second a momentum deck. And so it’s mainly only one slide. I all of my gro all of my working fashions are like admin-like, as a result of I would like individuals to work, not must do admin. However there’s a slide that claims mainly, what did I ship prior to now two months and what am I transport within the subsequent two months? And it’s the the factor is structured so each two weeks the identical deck is uploaded, up to date, and it’s structured in a means the place it’s straightforward, the place it’s straightforward for an AI to tug out data. So I can mainly add it to my AI assistant and say, okay, what have we missed? What didn’t we try this we stated we have been going to do? What are the areas of overlap? One of many issues I take a look at is each group fills out a blocker and if they’ve a mic uh mitigation plan or not. And I say, nicely, what are the blockers that don’t have mitigation plans? So AI is the a capability to love assist me carry on high of these issues is basically good. I do the same one for KPI. In order that’s a momentum. That’s a that’s a momentum look, which is mainly how fast are we going, are we doing the issues we stated we have been doing. The opposite one is the accountability half, which is like each month did we hit the deliverable we stated we’d hit? And once more, it’s a single deck. Each month has a brand new slide, so it’s all in a singular deck. And the explanation they’re in singular decks, simply so individuals know, is likely one of the irritating issues when you’re utilizing ChatGPT or Claude is you must proceed to love add the doc each time there’s a brand new replace, proper? So if I’m if I’ve acquired my August replace after which I get my September replace, I’ve to re-upload the doc as a result of it has the September replace if I need to question it. Now, when you have been querying a number of decks, like for every month, they’ve a certain quantity of information you may add. I feel it’s 20 in ChatGPT, it’s sure comparable in Claude. So that you’ll simply run out of the flexibility to proceed to add, such as you add the June one, you add the July one. So if in case you have them in singular decks, it makes it a lot simpler as a result of you may simply add that one deck. Um, and in order that accountability one mainly was once more, it exhibits did we do what we stated we have been gonna do? And it’s actually good as a result of I can simply add the doc every month, after which I can run a bunch of prompts to say, nicely, what areas are we lacking on? What areas are we overperforming on? What what are the perfect alternatives the group has seen that we must always take benefit on? They’ll even question it and it may be actually your chief of employees in that means. In order that they’re they’re two of the perfect like it’s a sort of like chief of employees slash venture administration. When you s when you construction your updates in in in the appropriate codecs, that’s that’s considered one of my greatest use instances. I like that use case. Um, the opposite one is that if I’ve a extremely arduous downside to unravel, it’s an incredible thought companion. Now it’s sure mannequin like I’ve you realize the entire fashions, so I’ve GPT Professional. The GPD5 Professional, I can’t even bear in mind what it’s, like $200 a month one. I don’t even know what they’re known as anymore. GPD5, actually highly effective. I don’t know what it’s known as, however however mainly, if I’ve a tough downside to unravel, I give all of it. The entire context about that downside, the entire historic decks, every part that I feel is vital. And it’s an incredible thought companion. And one of many issues I ask it to do this’s actually helpful is pink group stuff. Present me the entire ways in which that is incorrect. My thought course of is incorrect. It’s a counterpoint to you the place you suppose is the perfect use of it. As a result of what LLMs need to do is like reinforce your nice, you’re nice. Sure, you’re proper. As a result of that’s who they’re they’re sort of like tuned to do this. So I drive it to inform me I’m not proper, be essential. And I that’s what I find it irresistible for. As a result of even within the work setting, we don’t actually like being essential to one another, proper? Like I do know now we have like radical candor and all this stuff, however individuals aren’t that good at it. AI is basically good at it when you inform it to be.

Sophie Buonassisi: 30:40

Yeah. A humbling expertise, that’s for certain.

Kieran Flanagan: 30:44

Yeah. Yeah. AI as a coach is an actual nice use case as nicely as a result of it’s not biased. It is going to simply let you know such as you’re dangerous, get higher.

Sophie Buonassisi: 30:52

Yeah, the the arduous, sincere fact, at all times. Proper. Go-to-market. Yeah, that is revolutionizing the way in which that we function individually, like we’ve been speaking about. However how does that thread itself to the larger go-to-market system, that means how we’re truly constructing and promoting and scaling software program corporations?

Kieran Flanagan: 31:12

Yeah, I feel there’s three traits that I feel rather a lot about which are occurring that I may give individuals a fast synopsis of. So I feel we’re gonna must construct affect, not clicks. I feel AI engine optimization is the primary ability to study. And I feel multimodal, your your whole web site will in all probability in some unspecified time in the future transition to love extra of a multimodal expertise, and I’ll undergo each. So endlessly we’ve been attempting to love create content material to amass clicks, and that’s how B2B has labored. 80% of all B2B purchaser journeys begin in Google. Like Google has been the honeypot for a way we’ve acquired demand for our enterprise. It’s estimated, I feel in 2027 or 2028, 95% of a purchaser’s journey in B2B begins inside an LLM. Uh and and the issue is that each one of our clicks are disappearing. However you what you need to do is you continue to need to affect your purchaser. And I feel the way in which you affect your purchaser isn’t via running a blog, it’s via mediums like this. It’s via what I name personality-led progress, which is like I feel B2B will look similar to B2C, the place we gravitate in the direction of people, not manufacturers. And the entire channels which are nonetheless rising and have nice momentum favor the person, not model. Podcast, e-newsletter, YouTube, numerous the social channels, they favor character, not manufacturers. It’s why a few of the greatest founders, when you take a look at Roy from Cluy, what’s he actually good at? Character-led progress, advertising and marketing. Numerous the founders of AI native startups have actual spicy takes, have actual ideas, are like actually prevalent throughout social and folks gravitate in the direction of that. So I feel your content material program seems much less like key phrase optimization and running a blog and appears way more like media and creator-led applications. So I feel you’ll have a group of creators and that’s the way you go to market. The second is that 80% began in Google, 95% will begin in LLMs. AI engine optimization is the way you drive visibility in ChatGPT and these totally different AI assistants as a result of the entire analysis is being performed in there. Now, whenever you take a look at the information, somebody who’s gone via an AI assistant, let’s say ChatGPT, converts 4 instances larger than in the event that they got here via Google’s blue hyperlinks. And folks would say, wow, that’s factor. And that could be a good factor, proper? They’re way more certified. However why are they extra certified? As a result of they’ve performed all of their analysis in ChatGPT and ignored all of your advertising and marketing materials. So by the point they arrive to your web site, they’re certified. They’ve a few questions, they’re prepared to purchase. However you must be seen in these assistants. And so you actually must study the sort of methods for AI optimization to extend your visibility, certain, voice in these AI assistants. And the third one is multimodal. As a result of they arrive to your web site, they’re prepared for a gross sales dialog. However most individuals don’t need to do a gross sales dialog. However these multimodal brokers which are in a position to do voice, do see your display screen, do audio, and even generally like these sort of digital avatars, I feel as they turn into a lot, significantly better, we’re going to see your web site transition to a close-in mechanism. Proper. Right this moment it’s numerous analysis. Like we need to carry our model to life and let you know why you should purchase. All of us, I’ve performed all that within the AI help. I need to speak to somebody who can reply these last questions, however I don’t need it to be a human. So I feel these multimodal brokers, your web site goes to shrink, and so they’re going to be, you’re going to have these multimodal brokers that may have actual conversations and reply these questions. After which you might e book time with a rapper determine to purchase. So these three traits, which is creator-led advertising and marketing, AI engine optimization, web site as a closing mechanism with multimodal brokers sort of baked in, is the most important adjustments. I a few of the greatest adjustments I see within the B2B go-to-market playbook.

Sophie Buonassisi: 34:48

These are drastic adjustments for go to market. So it’ll be a really, very attention-grabbing time forward. However every part isn’t one-dimensional within the sense like it’s nonetheless feeding the LLN generally, relying on authority and so forth. So it’s truly sort of bifurcating the method the place it’s supporting you high of the funnel, however then it’s truly working the connection facet and I’m a closing backside of the funnel. That’s fascinating.

Kieran Flanagan: 35:17

Yeah, that’s a extremely good level. Yeah. So like use so L how so what’s a method you can improve your visibility in these AI engines? And it’s mainly to create heaps and plenty of area of interest content material as a result of the way in which we speak to an AI assistant could be very totally different than we have been taught to love search in key phrases in Google. And so we’re prefer it’s such as you and I having a dialog. If we have been having a dialog a few software program product, we’re not doing what we’d do in Google, which is like greatest 10, you realize, greatest SMB software program product. And so it means you could create, as a substitute of like one web page that optimized for 3 key phrases, you could create a thousand pages round a particular like a part of your product. And so that you do want an internet site that may cater to that. However the attention-grabbing factor is that’s the primary instance, I feel. Perhaps not the primary, however one of many key examples of the place you’re constructing one thing particularly for an agent, not for the human. As a result of the human isn’t going to devour that content material. They don’t care about that as a result of they’ve acquired their reply from the AI assistant and possibly your multimodal agent. And we’re going to show individuals, I assure this, proper? We’re going to train individuals to not trouble must not must learn for themselves. Individuals are simply going to get lazier. I like we see it on a regular basis. When one thing will get simpler and sooner, the particular person client will get lazier and so they anticipate extra. In order that they’re not going to go and do like an hour’s analysis. They’re going to only ask Chat2BT after which they’re going to speak to your agent. However you do want all that content material for brokers. And it’s like an attention-grabbing instance of the place we begin to do go to marketplace for the human and go to marketplace for the brokers. As a result of the factor I’m involved in, very involved in for B2B, and Google launched replace this week, which allowed brokers to do funds, which I feel is basically big. As a result of nobody, nobody wakes up within the morning and says, you realize what I need to get actually good at? Shopping for B2B software program. I need to go and like actually work out the right way to be nice at BM shopping for B2C BD software program. So why wouldn’t we offload that entire procurement course of to an agent who can do funds? And that means, then who am I even advertising and marketing to? And the way do I like for like how do I get the agent to select me? Proper. I feel that could be a a tough, like that’s going to be a tough factor for software program distributors to determine.

Sophie Buonassisi: 37:14

Positively. I like the purpose that you simply made about go-to-market for AI brokers and go-to marketplace for people. It’ll be attention-grabbing to see how that really occurs and whether or not it’s full bifurcation or whether or not it’s built-in. However one space, you realize, on the advertising and marketing facet, we talked about web sites and venian. The opposite facet is the creator facet. Some argue that AI will erode artistic instinct. What’s your take?

Kieran Flanagan: 37:42

I feel creativity is I feel AI makes creativity extra vital than ever. I feel the way in which we stand out above the noise is human and creativity. I feel individuals will gravitate in the direction of the explanation I feel creator led actually works. I’ve been speaking about it for 2 years, however the motive I feel it actually goes to speed up is as a result of individuals will gravitate in the direction of individuals as a result of that’s who we’re. Like we’re not going to we’re going to belief individuals. We need to hear individuals’s level of views. We don’t need to get all of our content material from AI. And I feel AI, is it a cre artistic device? I feel it’s an incredible artistic assistant. It’s not so good as people at creating real artistic belongings. I feel the human sk the human ability to study remains to be like creativity that enables me to face out above the noise. So I truly suppose it makes that ability set a lot, way more vital.

Sophie Buonassisi: 38:32

Yeah. And what about reshaping advertising and marketing general? It’s loopy to say simply two to a few years. Past that’s an excellent additional time-frame, however clearly entrepreneurs must be studying prompting. What different abilities ought to they be studying? And what’s a advertising and marketing group fluent in prompts and AI truly seem like even one, two years down the road from now?

Kieran Flanagan: 38:57

I feel advertising and marketing is considerably distinctive by way of a group in that it’s a group of like area of interest groups, proper? Like when you’re in a gross sales group, you sort of are a vendor and you’ve got the identical work and the identical profession path. When you’re within the buyer success group, the client help group, regardless of the group is, it’s sort of the identical work and the profession path is identical. In advertising and marketing, you might be within the product advertising and marketing group and the model group or the demand era group or no matter group, and so they have a distinct segment ability set and their profession path could look just a little totally different and their group dimension could look just a little totally different. And so one factor I feel AI does might be drive advertising and marketing to be much less specialised and extra generalist as a result of AI can do that specialization. As a result of why do now we have such breakout of all these area of interest abilities? It’s due to the area experience, proper? It’s actually arduous to be an incredible product marketer. Uh, you may’t, it’s actually arduous to be an incredible model marketer. It’s actually arduous to be an incredible demand era marketer. You want numerous area data. So it’s arduous to love do subset like a number of of these roles. But when AI has a bunch of that area experience, the marketer is like truly, I could be a way more generalist and do extra work powered by AI, however I nonetheless know rather a lot about advertising and marketing. I’ve like area experience inside advertising and marketing. So I feel one of many shifts will likely be we’ll see extra generalist groups powered by AI in a position to do way more. I additionally suppose advertising and marketing can tackle far more of the client uh journey as a result of entrepreneurs are at all times automation for essentially the most half begins with marketer. And so now we have these handoff factors at present that exist as a result of you realize now we have at hand the particular person over to the gross sales or no matter it could be. However I feel as AI turns into extra prevalent, it could simply be that advertising and marketing can do way more of the client journey as a result of they’ll combine AI, and AI is doing the entire qualification discovery. AI is doing a bunch of the work, and entrepreneurs are like managing the assistants and coaching the assistants and coaching the brokers to do this work. Um, I don’t know the place we find yourself in two years. I feel the factor is it’s altering so quick. So, what I inform individuals is a very powerful advertising and marketing abilities to have are be curious and be persistent. Curiosity, there’s by no means been a greater time to be curious. There’s by no means there’s by no means been a extra vital time to be curious. I feel it’s the primary ability set, the primary trait to search for, as a result of when you’re each every part is getting rewritten, and for me, that’s superior. I feel I get actually bored when every part is like optimization stuff, twiddling the you realize, twiddling the knobs, simply getting just a little bit higher. It’s means higher like when you must rewrite every part. And so people who find themselves actually curious will have the ability to try this. And coming again to the Darmesh quote, your high quality of consequence will likely be dictated by your variety of reps you place in, which is basically the individuals hate to say this as a result of everybody likes to say, nicely, like work-life stability, it’s the grind, proper? Just like the grind does matter. As Darmesh says, extra is extra, which suggests like working arduous and grinding it out and studying goes to be a extremely vital ability set to have uh on this time.

Sophie Buonassisi: 41:45

Yeah, when you speak to anybody that’s you realize been on the opposite facet of the mountain of climbing and buying abilities, they’d in all probability say the identical factor. Of constructing firm, simply say the identical factor. You already know, you look individuals emulate and replicate the tip consequence, however we must always actually finish and lead is the method. And in that course of are 1000’s and 1000’s and 1000’s of reps. And now, you realize, it’s by no means extra vital to study AI, but it surely’s additionally by no means extra enjoyable. It’s by no means extra enjoyable to be a curious particular person. Like this was just like the world at your fingertips of you may construct, you may create, you may study. It’s I feel the perfect time possibly a go-to-market skilled, the perfect time can be in tech typically and a burn profession.

Kieran Flanagan: 42:26

100%. 100%. I I completely agree. I feel it’s the perfect time. It’s the the it’s the primary time as a result of the URL it’s like each begin of each it’s the place like individuals make their success, their careers, proper? Like numerous my profession was made by being one of many first to undertake inbound and product like progress. And so individuals have like these new paradigm shifts, they they reset every part and there’s a bunch of latest winners. And I feel that’s the reason it’s so thrilling as a result of the brand new winners will not be based mostly upon like your title or any of those various things. It’s based mostly upon your curiosity, your iteration, and your capability to love actually study quickly and and actually work arduous.

Sophie Buonassisi: 43:06

Positively. And I’m additionally actually to see how the precise funnel evolves to your level of selling may take it longer. It may not be a pass-off. HubSpot truly spoke to that just lately at inbound, proper? Introducing the loop as a substitute of the funnel. Yeah. And simply the way it’s not it’s not a linear course of anymore. The shopping for course of has developed. In order that’ll be an attention-grabbing one to see the way it it shapes up.

Kieran Flanagan: 43:30

Yeah, precisely.

Sophie Buonassisi: 43:32

And Kieran, you realize, we talked about the way you study round AI and experiment, however are there any Shaver books that you’ve and actually formed your profession of the years?

Kieran Flanagan: 43:44

Oh, I ought to in all probability have reply for this. It’s been like I’ve been so engrossed in AI for like two plus years. I’ve forgotten what I even learn earlier than. I truthfully don’t haven’t learn a lot in any respect apart from uh uh work. I I like I devour numerous podcasts, I devour numerous like content material, however I’ve not learn numerous books, if I’m being completely sincere.

Sophie Buonassisi: 44:13

It’s a must to study from dynamic sources.

Kieran Flanagan: 44:17

Yeah, yeah. Like you must, and I I feel like there’s a time to devour and a time to work. And I I’ve actually sort of leaned into the time to work. Like I’ve realized prompting, like, how have I realized numerous issues round AI? I’ve a YouTube channel, AI, I’ve a Substack in AI. I’m constructing product. I’ve a product popping out in AI. I work in AI each day inside HubSpot. So like I made a dedication two years in the past that there’s simply nobody that may know greater than AI about me when you’re a go-to-market practitioner, as a result of nobody goes to work as a lot as me in AI. And that was like my that was the one objective I had. I didn’t have like all, there’s no monetary or something. That’s that was it. Like, and so I feel there’s like instances in your profession the place there’s like time for consumption the place you’re actually attempting to determine how do I grasp a brand new ability, and there’s simply time to behave. Um, and numerous the content material I devour is like within the second the place I’m attempting to determine issues.

Sophie Buonassisi: 45:06

It seems like, I imply, to begin with, I like that. It sounds such as you spend numerous time studying and upskilling round AI. Now I’ve a query, crucial query for you, Karen. There’s just a little birdie named Brian Halligan, give me a tip-pop, however you’re truly a reasonably expert rapper. So, how do you’ve gotten somebody to study the rap abilities whereas studying in excessive?

Kieran Flanagan: 45:27

Uh I can’t consider Brian stated it was of all of the issues Brian might have stated about me, me being a talented rapper, how do I so so I’m uh I I all I all I take heed to is hip-hop. I used to hang around like in there, was once like a battle rapping discussion board the place you might battle rap individuals over textual content. Now, I that doesn’t exist anymore. If it did, it will be sort of attention-grabbing as a result of ChatGPT is a superb battle rapper. I’ll let you know the funnest factor I’ve ever did on like in in rapping. So Fiverr is a extremely cool platform, you need to use it for lots of issues. And me and my bros, my brothers, who all get pleasure from hip hop, we used to battle rap one another by paying this one that did like Sesame Road puppets. So we’d we’d create the again, the again finish observe, after which we’d have the puppet rap, after which we’d ship my brother would ship like me the video, after which I might reply as a puppet and video. So I’ve performed numerous bizarre issues round rapping, however yeah, I’m I don’t I don’t suppose I’m uh an excellent rapper, however I’m an aspiring. I’ve began to love use ChatGPT to love relive numerous my youth fantasies, and like considered one of them was to be a builder, which is which is it’s serving to me try this. After which considered one of it’s to jot down raps, however for the time being I’m simply sending them to my brothers and so they’re simply offensively, they’re similar to offensive issues.

Sophie Buonassisi: 46:36

However my brothers unimaginable, unimaginable. Nicely, we’ll see. The worlds are intersecting, AI is supporting the rap dream, and it’s all coming collectively. Who is aware of?

Kieran Flanagan: 46:45

Yeah, I might have a I might have a I somebody was considered one of my group was exhibiting me they’d an individual that they love listening to and so they have been searching for live shows of his and so they have been like, hey, I simply came upon there’s no live shows as a result of this this man is AI and he’s on Spotify, he’s like actually fashionable, and so who is aware of? Like I might possibly create just a little AI rapper. Uh it did encourage me that I might create a hip-hop like artist and like simply put him put that particular person on the market.

Sophie Buonassisi: 47:10

I imply, I’ve heard you say truly that voice is likely one of the underrated utilizations of AI. And clearly, we’re in all probability speaking a few totally different context, and we’re seeing numerous know-how come out leveraging AI for voice use instances, however that’s an incredible use case.

Kieran Flanagan: 47:26

Yeah, yeah, just like the Hey Jen fashions and these new fashions, they’re simply unimaginable.

Sophie Buonassisi: 47:30

Really, actually. I find it irresistible. Nicely, you might be, as you stated, already probably the greatest individuals to study AI from. You’re committing to use to really be the perfect, most educated particular person in AI. And already so many individuals are following your learnings, and also you’re one of many individuals of serving to to form and disseminate data round AI to individuals. So for anybody, in the event that they don’t already comply with you, the place can they get in contact and comply with you throughout all of your platforms? And these will all be within the present notes for everybody.

Kieran Flanagan: 48:02

Yeah, I feel the primary factor I acquired requested to do was begin a Substack as a result of everybody was like, hey, you share a lot, are you able to simply doc it in Substack? Particularly the prompts. Everybody needed the prompts. And so I began a Substack known as the AI Journalist. I’ve truly been amazed how nicely it’s gone about three months in the past. And in order that’s in all probability the perfect place to go as a result of I think individuals need the place are the vibe immediate and vibe uh immediate and prompts you talked about? The place are all this stuff? They’re all within the substack. In order that’s the place you may go and you may get it. The opposite one is with my actually, actually good buddy Kip. We do a podcast the place we cowl these items as nicely. It’s known as Marking Towards the Inexperienced. In order that they’re sort of the 2 core locations.

Sophie Buonassisi: 48:35

Like it. These will likely be within the present notes. I’m an enormous fan of each. Extremely suggest. Karen, this has been improbable. Actually admire the time and also you sharing with everybody.

Kieran Flanagan: 48:44

Yeah, thanks for having me on.

Sophie Buonassisi: 48:46

Completely. Thanks. Due to everybody for tuning in, and we’ll see you subsequent week.