$5K in 48 Hours: Turning Your Experience into a Service Offering with AI (Michael Himmelfarb)

Brett Trainor (: 00:01

Hey Michael, welcome back to the Corporate Escape-y Podcast.

Michael Himmelfarb (: 00:04

Thanks, Brett. Good to see you again.

Brett Trainor (: 00:06

Man, third time's the charm, so no pressure. But I looked and it's funny because you were last on last December. So just under a year ago, and we were talking about AI and escapees, which we're going to get into today because I think there's a big opportunity. But I didn't realize that you were in episode 13 back in 2019. Yes, one of the OGs of the podcast, which is awesome.

Michael Himmelfarb (: 00:08

yeah.

Michael Himmelfarb (: 00:28

I'm an old timer. I'm an old timer's old timer.

Brett Trainor (: 00:36

you digging back into what we were talking about then, it's like how do we partner with enterprise organizations? And, you know, that's why I always like to have you on the podcast and our conversations because we kind of think alike, right? What's always looking, experimenting, kind of what's next, without throwing the baby out with the bathwater, right? We don't have to completely walk away, but it's, it's, it's interesting to see your journey over the last five, six, seven years, cause you were out before I was.

Anyway, welcome back. No pressure. Maybe to kick us off, why don't you just let the audience, they can go back and listen to the December one if they want to get some deeper bio on you and your back. what are you working on today? then I want to get, which is kind of be the topic we're going to talk about AI and consulting and the combination of the two. But just share with the audience what you're working on today.

Michael Himmelfarb (: 01:06

Thanks. Yeah.

Michael Himmelfarb (: 01:29

Okay, actually, why don't I back up and I will give a little bit of history. So I spent a long time in corporate life. And then about eight years ago, I couldn't take it anymore. And I left and started consulting and I was at Nielsen. It's a pretty big company. We used to do a lot of things with startups and everyone's trying to knock the king off the pedestal. And so I started getting calls right away from people who are

trying to disrupt Nielsen. And so I had a pretty easy stream of business right away. You know, over the past five, six years, the next five, six years, it was pretty easy to get work. And I connected with a couple of venture capital firms. I was brought in as a fractional CMO five or six times. And during that time, there was a, it was easy to get jobs.

And it was easy to get a lot of money. So people would pay me five figures a month and deliverables would be very squishy. And I would say probably about a year ago that really started to change. And a lot of it, I think, came from to solve the economic uncertainty, what was going on with the AI, what was going on with the economy. And what I found is two big insights. One was that buyers really wanted, they needed to know what value they were getting. They were really stingy with their

And the second was they wanted very specific, they had very specific problems to solve. So the days of being a fractional CMO for me, felt like it was just, it was me versus the other 20,000 fractional CMOs out there. I had been having a lot of conversations about pricing and product packaging in particular. And so I decided to focus in deep on that. And so I started selling pricing and product packaging centric

solutions and they ended up leading to other broader product marketing types engagements, but that was really my focus. I spent a lot of time developing new methods and point of views and things like that. And then as AI came along, I started really thinking about how could I leverage this because the challenge I continue to face, which I think a lot of consultants that I speak with also face, is that people don't want to spend a lot of money and they want the answers fast.

Michael Himmelfarb (: 03:53

And I always get this sense that whenever I'm talking to a prospect, they're thinking, well, I could pay this guy the big consulting bucks, or I could just get chat GPT for 20 bucks and get mess off 80 % of the way there. Yeah, exactly. So I started thinking, I actually just wrote a post on this, you know, 80-20 rule where 20 % of your customers would give 80 % of the value. I started thinking about the opposite, which is the 20-80 rule.

Brett Trainor (: 04:05

Yeah. Call it a day, right?

Brett Trainor (: 04:19

Pareto's principle.

Michael Himmelfarb (: 04:22

which is if you think AI can get someone 80 % of the way there, what is that 20 % that I can do that AI can't do? what's the value of that? And so I've come up with this model that is, I would say, AI augmented or AI enhanced consulting. And it merges the best of AI with what I consider some of the human superpowers of experience.

innovation, creativity, and the ability to build trust with people into an integrated deliverable that's both very data rich but also involves some face-to-face consulting. My goal was to actually have a deliverable that I could give somebody in 48 hours and it would cost $5,000. Something that was super easy for me to do, super easy for them to buy, and then the idea is that would lead to further engagements down

Brett Trainor (: 05:23

If it makes, if you even want it, right. Maybe you just stick with selling those 5k engagements. But I want to dig into that because that's when I like the light bulbs are going off. And, you know, we've talked in the past about how I think starting to sell services and you're kind of to sell me a tech enabled service here with AI. But the two things you said that I really want to highlight for folks is buyers need to know the value, right? They want to know what the value that you're getting. just can't.

Michael Himmelfarb (: 05:28

Yeah, that's it.

Brett Trainor (: 05:50

because that's what I talk a lot about is you can't leave with job titles as a fractional or a consultant and these types of things. They don't care, right? They want to know, you saving me time, making me money, saving me money, reducing risk? Probably that's about it. Somewhere in those buckets. And then the other thing you said, which I love is it's the problem you're solving. That's what we do, right? That's why we make this too damn difficult sometimes is when you're going to solve a business's problems, what is the problem you're trying to solve? And then...

what I like said, what I know you've been working on is, is iterating around how to leverage the best of AI and, you know, provide that service to small businesses who guess what, aren't just like the rest of the 80 20, right? Only 20 % of the folks are actually going to pay attention and figure out how to leverage AI, right? For improvements, the other 80 % of go, ah, too late, too difficult. Don't want to do it or just who knows why they won't, but.

All right. So I just wanted to, I said, highlight those two things for people in the audience, depending on where you're at a hundred percent agree, focus on the buyer value and a problem. And it's going to be much easier to sell than focused on, on job titles. So, all right. So let's, let's dig into, again, because you're not a programmer, right? Fair to say you're not a.

Michael Himmelfarb (: 07:04

No, I'm definitely not.

Brett Trainor (: 07:07

But you've, I said, consider myself knowledgeable in AI and how it works. And I use it on a daily basis to help me with my business. But I think you've taken that to the, to the next non-programming level to really understand where you can start to help small businesses, even larger businesses, right? Leverage that tool. So, all right, I'll shut up now with all that, but yeah. So kind of talk about what is, what is your vision? What are you seeing? What are some of the areas that.

you think this makes the most sense or take us wherever you want to go.

Michael Himmelfarb (: 07:40

Sure, so there's an interesting study published by Anthropic, the owners of Claude, probably about a month ago or so. And they slice and dice usage a number of different ways. And the one that I thought was most interesting is they looked at AI usage by automation versus augmentation. And automation was super high. Augmentation was not that high at all.

Brett Trainor (: 08:00

Interesting.

Michael Himmelfarb (: 08:07

interesting, I had a conversation with a colleague of mine who focuses on healthcare. And he was saying that there's a huge group of startups, as you probably know, that are AI enabled startups. In the healthcare space, there are a lot of them are focusing on automating customer service, right? So you call up the hospital and they do some triage or whatever through a voice system that's AI operated. And the interesting thing and kind of the scary thing, I think for all of us is he was saying that

Most of the time, the founders have absolutely no industry knowledge. They just have a better way doing something and they figure it out and they think the industry expertise doesn't really matter. so, you know, I thought a lot about that, we talked a lot about that, that yeah, that's probably true at the base level. If you're just looking for efficiency from AI, that's great. But what we bring is the ability to create more value.

And those are the things that we have to uncover. And so when I put together my, I have a GPT or a project or whatever you want to call it, I put together the way I wanted it to work, right? So I have, I built the models. I figured out how they, how they want it to work when I know what the output needs to look like. it spits out the output exactly the way I want it. But at the same time, I check all the work.

and that takes me a long time and I write the recommendations. And what I find is that even though I've standardized a good part of the work, still, every customer is different as you know. And it's not as simple as putting up a website and having people type in their URL and expecting it to spit out, it's not gonna work. It needs to be modified. But then the other part is thinking long and hard about how

I can have a hybrid delivery model. there is output that has recommendations, but it always has a human component. So whenever I do anything, it starts with an intake meeting or they give me data or whatever. I do the analysis and then we have a live session or sessions to actually present the results and ask questions. And here's where I think people like us have a real advantage is every single conversation

Michael Himmelfarb (: 10:33

I have, it always starts with, okay, so how'd you get these numbers? Where'd this come from? What's the methodology? And if you don't know exactly how the thing works, you're never gonna be able to answer it, right? So that's the differentiator we have versus a junior marketing person going in and saying, what should I price my product? Like they're just not gonna, they're not gonna be able to call BS, they're not gonna understand what's right, what's wrong, and they're not gonna make these adjustments. And that's really...

Brett Trainor (: 10:45

Right.

Michael Himmelfarb (: 10:59

where I think people like us with experience can really make the most of these types of tools.

Brett Trainor (: 11:05

Yeah, no, so good. I think, thinking, cause I've been thinking about too, from the automation standpoint, that's going to be a dime a dozen. It's just going to be built into anything that can be automated will be automated here pretty quick. But I'm, a hundred percent with you on the, the industry. mean, the way I kind of think the industry knowledge, right? You've got the institutional knowledge and, if you want to call it tribal knowledge, AI is not going be able to replicate that or do an analysis of it. And as you were kind of talking through,

what your, I guess, offer is. It makes sense, right? Because back when I was consulting, we would do a, hey, 20K, 25K, we'll come in and just give you your current state. And not just the current state, but a roadmap that comes out of it because nobody wants to pay to hear what their problems are. They know they've got problems. They don't need to pay to do it. But that would take six weeks to go in and pull the data, assess the data, and then come back with recommendations. But with industry or your

knowledge, you can take what the data is going to pull from the AI, which is going to be much cleaner and easier to get. But you need those other three things, right? Industry, institutional, and customary, even specific in some cases to make real recommendations that are going to move the business forward. So I absolutely love this idea.

Michael Himmelfarb (: 12:25

Well, I think also, you know, I sort of think of them as human superpowers, that things that AI can't do. So AI is not creative, right? It's by nature just regurgitating what it has and it's just a fast search. It can't predict the future, right? So it can't look over what it can't think about what's going to happen going forward. And the other big thing you can't do is empathy.

Brett Trainor (: 12:42

right.

Michael Himmelfarb (: 12:55

Right? So I had a call that I just had a got off a call with a company that sells software into warehouses and they're they automate huge parts of the manual process inside of the shipping of an order. And the CEO is saying, you know, the biggest hurdle we have is that the person we're selling to is usually going to be, you know, automated out of a job if they hire us. Right.

Brett Trainor (: 13:22

He's right, yeah.

Michael Himmelfarb (: 13:24

So AI is not going to catch that. And so if you think about the sales process, we can empathize and understand that and think about how we handle objections or how we want to work with that or around that, whereas a machine isn't going to be able to really do that.

Brett Trainor (: 13:42

But it makes your look to your point a lot easier. We can add a lot more high touch or deeper value, right? Versus some of the surface level one-on-one processes and no, it makes sense. And again, I loved when you were heading down the path of pricing. guess there's just not enough people talking about pricing or understand how to do pricing. And if I'm not mistaken, I kind of wasn't that your first.

kind of toe into this was, what can I do from a pricing analysis? It's one thing to have AI crunch the numbers, but the real world experience and everything else we just talked about, it makes sense.

Michael Himmelfarb (: 14:09

Yeah.

Michael Himmelfarb (: 14:18

Yeah, so I had done this specifically for pricing, but as I thought about it, I thought there was a bigger opportunity for me and for everybody else in our community because you could apply this to virtually anything. if I had a customer asking about their promotion strategy for your rent, and it turns out that most companies, they don't do a cost benefit analysis of a promotion, right?

You could basically design a new promotion strategy that's AI enhanced and does a lot of the calculations and the predictions. And, you know, I could add the nuance in my experience there and we can come up with a pretty interesting solution. And I've talked to CFOs, same thing. There's a lot of manual work that happens there that could be automated or improved. you know, so I think that any of these

Brett Trainor (: 15:09

Yeah.

Michael Himmelfarb (: 15:16

things could happen, I think it is important, like you said, to have it be a point solution, like having something very specific that you solve and just do it really, really well, and then you can expand from there. It's kind of like the tip of your spear to get into a company is how I see it. And as you noted, I could sell, it may be that I end up just selling $10,000 two-week engagements. I don't know, but it may be that's the way to go, but it could also lead to other things. And I do have some ideas for

Brett Trainor (: 15:38

Yeah.

Michael Himmelfarb (: 15:45

recurring deliverables that I'm working on with some venture firms that they like and it could become a recurring revenue stream, I think, if you think about it right.

Brett Trainor (: 15:57

Yeah, I'm definitely into that. The camp of how do I build something that's repeatable, provides enough value. And then if somebody wants to go deeper, I can bring in a partner that wants to dig into these types of things. I'm definitely more into the, and that's just my personal, because there's some folks that love to get super deep and dirty into specific problems. And again, to your point, this is, think, so there's two paths here. One is.

Michael Himmelfarb (: 16:11

Sure.

Brett Trainor (: 16:22

the entry point you can undercharge for it, but it gives you a really good blueprint or roadmap into the org. The other one is, you're going to get a ton of value coming out of me just doing this, you know, take it in with the one, or I can connect you with somebody else that can, can help you come in and run this. And right. One of the, think one of the businesses that we've got EOS folks out there, right. They charge a fortune for what they're doing. mean,

This it's not going to put them, it's going to put them at risk because it won't cut out the industry knowledge, but everything else that they charge for upfront is going to be put at risk. Same with management consulting firms. Again, with your level of experience at 20 plus, 25 years with Nielsen in that space, you know enough. Now you've got an army of junior level consultants to come in and help build. you know, long-winded way of saying, think what this does is it allows, again, we talked to Gen Xers.

to marry this technology and provide a substantial value improvement into small businesses.

Michael Himmelfarb (: 17:23

Yeah, well, so that's interesting you bring up management consulting because when I was having this conversation about the hospital automation, it occurred to me that these new companies, they're essentially doing the systems integration work that Accenture is to do, but at a fraction of a fraction of the price, right? And so that's kind of a new model is they have it's like automated, it's AI enhanced.

Brett Trainor (: 17:44

Fraction of the cost. Yeah.

Michael Himmelfarb (: 17:52

And the cost, it's super cheap. And this is what's, this is the existential threat to these consulting firms because they can compete based on their cost structure and how they're organized. And I think there's an opportunity to sort of thread the needle between consultants where you're getting the partners and they have a lot of experience and da da da, and these people who have no domain experience, we can kind of thread the needle and offer things that are high value.

much more affordable and much faster, honestly, than those guys could do.

Brett Trainor (: 18:27

Yeah. I mean, I'll give you my experience because I was brought into a management consulting firm as a principal because of my industry experience. Right. I was on that side of the aisle. I knew how the internal workings work. I know the challenges these B2B organizations face. What I didn't have was the management consulting experience or the team of project managers, all these other things now that AI is still going to be, there's project management I'd argue is still a

Michael Himmelfarb (: 18:35

Yeah

Brett Trainor (: 18:55

it's a definite skill. I don't think you can automate it. can a 80 20 rule, I'm sure. But again, that's why I get so excited for, for Gen X. Get out of corporate, right? There's I don't get to your point. It doesn't matter what function you're in or where, where you sit, there's going to be an opportunity to help businesses. And even if you don't know AI, right? People like Michael are out here to help you. And there's going to be folks that will help you craft right. What you want, but it's.

Again, a long-winded way of getting to, think it's a great opportunity, but don't let the technology scare you, right? I think this is probably the way I would phrase that, but curious.

Michael Himmelfarb (: 19:33

Yeah. Well, I would say, that for me, it took me a while. It took me a while to get it right. It probably was like three months of a lot of work, iteration, and just learning how to kind of guide AI to get it where I want it to go. I, you know, on LinkedIn, you see all these prompts, like, hey, I got the...

Or you see the things I got. I got the prompts to do X, Y, Z, right? And you know, just put in prompt and the as a reply and I'll send it to you. Well, I think that's all kind of baloney. That's today's cook bait. If you ask me. Yeah, and to me the like I always think. I think what works best is saying here's what I think. What do you think? And so you lay out a scenario where you're trying to accomplish and you then iterate.

Brett Trainor (: 20:03

Right, right, right, right.

Brett Trainor (: 20:13

Yeah, no, I think you're right.

Michael Himmelfarb (: 20:29

using AI as a thought partner. And it takes a little bit longer and it's way more iterative, but I think you get a much more robust solution. And I've learned a lot of tricks along the way. I'm sorry.

Brett Trainor (: 20:42

Yeah, I was going to add to, and I'll give you another real world example of this is what I'm doing with the corporate escaping. were talking a little bit offline, right? That I'm watching the new online self-paced course. It's not really a course. It's really how do get through the playbook, those types of things. But everything that I'm working on the community, right? The downloads is all B2C or direct to consumer, which is not me. And I do work with.

you know, chat GPT and say, all right, let's bounce this strategy back and forth. But you know what it's missing is an industry expert, somebody that's been doing it for 20 years that understands the nuance of TikTok and LinkedIn and these different things that I'm going to keep iterating, but I'm keeping making mistakes. I'm not saying that you won't make mistakes doing it, this partnering with experience, but I guarantee you, if I had somebody that knew this, how to do this, like build courses, these types of things.

I'd probably be three, six months ahead of where I'm at because the GPT is only getting me so far, right? It's definitely moved me in the right direction, but it doesn't have that nuance that somebody with 20 years of experience actually would. That makes sense.

Michael Himmelfarb (: 21:51

Right. Yeah. And you know, honestly, I think going through the exercise of doing something like this is great for a consultant because it's, it's like, it's like tomorrow's skill that you need to have. And it builds credibility with customers that you've actually figured out how to use it. Cause most of them haven't. So, and I personally enjoy it. think it's, it's interesting. It's challenging. but you have to have the right mentality for it, you know, and and the patience to do it. If you, if you're going to.

do it right. Because it does take time. There's no sugar coating. I mean, if it was easy, everyone would do it. So you're kind of like pouring your brain into AI and getting to think like you. That's really the trick.

Brett Trainor (: 22:24

Right. Exactly.

Brett Trainor (: 22:33

Different variations right because now I've got a point where I use perplexity to do some of the deep research Then I plug it into chat GPT and say hey, I went and did some research What do you one can you validate this to or poke holes in it and then kind of help me? Summarize your think through write the data the reason so it's it's again I like it again that would have taken me two weeks in the past now I can do it in you know in an hour if I

Michael Himmelfarb (: 22:45

Mm-hmm.

Michael Himmelfarb (: 22:59

for sure.

Brett Trainor (: 23:00

If I go back again to your point, it's taken a while to start asking the right questions, right? And formatting, because there's still times when we're like, hey, can you create a table that simple? Thank you. I know we're getting off track a little bit, but for the collective, I'm launching a new sessions calendar in November. And I plugged into chat GPT. I'm like, all right, here's all the sessions by date. Can you just build me a visual calendar that I can then print off on a PDF? my God.

Michael Himmelfarb (: 23:13

That was fun.

Brett Trainor (: 23:28

it's an hour later and I still haven't been able to get it to spit it out in a format that makes sense. Right. So, and that's probably more me because I'm not telling it the right way to do it. But if I wasn't careful or I didn't look at the dates, didn't, it, it cross, it transposed some of the dates and anyway, so that's reinforcing having the knowledge to be able to verify is still critical.

Michael Himmelfarb (: 23:54

yeah, I just wrote a post on this on LinkedIn. Hey, I mix a lot of mistakes. And they can be really stupid. Like I was having chat GPT do a calculation. I had the formula and I had a bunch of data that I was asking to calculate. And part of the calculation was this divided by this times 10. So I get the numbers back on the table and they look ridiculously high.

And so I said, hey, can you check this column? It looks funny. And said, oh yeah, I accidentally multiplied by 100, not 10. I was like, I just gave you the formula. How can you make that mistake? So it does really dumb things sometimes. So you do have to know it. You do have to kind of pay attention, for sure.

Brett Trainor (: 24:27

Ha ha ha!

Brett Trainor (: 24:37

That's interesting. I don't know of another one of these, maybe I've made it moments because when I was doing some of the research on, I don't remember what it was now, but so perplexity, I'm not signed in. So it doesn't know who I am. It's not learning from my interactions. And it was talking about, you know, fractionals consulting and a bunch of other things. And one of the data points it pulled back or sources was actually me. I was talking about some of the data and the research from the escapee.

community. So again, that just shows you, can get yourself out there pretty quick if you're writing about important thing. Anyway, another set.

Michael Himmelfarb (: 25:13

Yeah. Well, the thing to remember is that Chachibutti's number one source is Reddit. So, not to tell you enough about the quality of the data. Exactly. Yeah.

Brett Trainor (: 25:19

Yeah. Check, double check and triple check to make sure you're, you're sourced out. No, for sure. It's, yeah, no, I love this idea. And again, it's, it was funny. had a, a thread in the community today talking about, the different paths, right? So it's consultal consulting and fractional and you know, how can you get to a

you know, 300K business or 500K, does it have to be multiple revenue streams? And in there, before we even talked, I'm like, it's, you got to find a way to sell it as a service, right? Cause it's, it's repeatable, it's scalable. And cause fractional and consulting just as a standalone, you're going to run out of hours, right? You just don't have enough, enough time to do that. So,

Michael Himmelfarb (: 26:08

Right, right.

Michael Himmelfarb (: 26:13

Yeah, it's, it's, yeah, I agree. It's I would just say focus is really important. Focus is really important. Like I think you might be a lot like me. just, I chase a lot of things and hope something hits, but, um, you know, I could never invest the time to do this. would take me a hundred percent of my time to do a podcast. Right. I mean, I could, maybe I'd make some money off of it, but you really got to pick and choose your, your opportunities to some extent. It's all about trade-offs. So.

Brett Trainor (: 26:17

But it's all good, uh oh.

Brett Trainor (: 26:35

Yeah.

Brett Trainor (: 26:43

Yeah. And it's gotten to the point now it's easier, but yeah, I definitely made the investment in the first few years in time. Now it's, can hit record. I've got my processes. Well, yeah, it's funny. So the podcast, my processes are, you know, nailed down, but there's still some other things where, and I've told this story before where when I was just doing the fractional and the, consulting and basically more of the non, the pre escapee stuff, I had my system, my calendar was

nailed down, right? I was highly efficient. Now with this all being kind of, it's not brand new, I've been doing it, but just trying to, there's a lot of moving pieces. So now I feel like my efficiency scale is under 50 % again. So I'm trying to update my system, my personal systems to figure out how to get myself back on track to you. Cause again, I get guilty of chasing the shiny objects as well.

Michael Himmelfarb (: 27:37

Yeah, it's hard not to.

Brett Trainor (: 27:40

But I think you have to, right? I think you need to experiment because that's how I wouldn't be here today if I didn't, you we probably wouldn't be, well, maybe we would be chatting, we'd figure something out, but you know, it was TikTok and it just sent me down this path that if I would have said no to not experimenting, then it wouldn't have been here. So I don't know. It's just finding that balance.

Michael Himmelfarb (: 27:58

Yeah, I think for me one of the hardest things about being on your own is that you have to do everything. And for me, there's certain things I enjoy and certain things I don't enjoy as much. Like I love the creativity and the ideation, things like that. So doing this AI stuff is really natural for me. When it comes to the sales part, that's a little bit more of a slog, right? So that's, think, the secret is like, what can you...

how can you leverage what you're really good at, what you like doing, and then kind of offloading or simplifying all the other parts and still have them be just as effective? Because you can't, you have to do them all. That's sort of the situation.

Brett Trainor (: 28:36

Yeah.

Brett Trainor (: 28:40

And if you do them all, you're not going to do them well, right? naturally you're not going be good. And again, I think that's part of where the future of this is going where, you know, maybe not piggybacking off of another escapee or somebody else, but there's going to be folks that are in these small businesses that you can piggyback off of and partner with to get introductions in. So you don't have to necessarily do the selling and it, again, it becomes more of an ecosystem. Again,

Michael Himmelfarb (: 28:43

Right, right.

Brett Trainor (: 29:08

On paper, it sounds nice, but if you can get some of those referral partners, the world, you can spend, I don't mind the sales. It's like the admin stuff that I love. If I could spend all my time just doing this, doing TikToks and other content, I'd be super happy. But you got to do the work though too, so you can understand exactly what you're doing. You went knee deep into this to figure it out.

Michael Himmelfarb (: 29:30

Yeah, yeah, yeah, of course.

Brett Trainor (: 29:38

Like I said, think you're, uh, I think you've got a really, really interesting path and two, it's probably not something you want to do, but I mean, there's probably a business for you to teach other escapees or Gen Xers how to learn, right? Chat, GPT to do this. I don't know if that's the training you'd want to do, but I'm sure there's people listening out there and like, well, hell, maybe Michael can train me how to do this.

Michael Himmelfarb (: 29:53

Sure. Yeah.

Michael Himmelfarb (: 29:59

Anyone who wants to reach out and learn more about what I'm doing or see what some of my deliverables are, feel free to reach out. I'm happy to get on the phone with somebody. I'm going to give a shout out to another member, Navin Agarwal, who knows the AI stuff really well. He's been a good resource for me thinking through things and figuring out how to do things easier.

Michael Himmelfarb (: 30:28

basically automating some of the things that it would take me a long time to do, like making presentations or putting things up on the website, things like that. So I showed that to Naveen, give him a call to hire him. He's great.

Brett Trainor (: 30:40

Yeah, I'm looking to see he was on the podcast. When was he on? September 22nd. So just about a month ago he was on. Yeah, same thing. He was, he's definitely more technical than, where you are, but that's, that's the beauty of this is I get to learn from everybody. So if anybody's been on the fence about joining the community, both Michael and Naveen are in the, the scapey collective. So,

Michael Himmelfarb (: 30:49

Okay,

Michael Himmelfarb (: 30:54

Yeah.

Michael Himmelfarb (: 31:06

Yeah, yeah, just switch.

Brett Trainor (: 31:08

And maybe what we should do is get you back into do, cause I know you did a pricing workshop for us, but maybe we do a tech enabled workshop here in the not too distant future. Cause I think a lot of people, again, I think this we've earned the experience, right? We paid our dues with it. So how do we leverage it? Um, going forward, I think this is a really, really interesting way. So.

Michael Himmelfarb (: 31:30

Yeah, and I guess my only ask of course is if any of you have clients that have pricing issues or you want a second opinion on something, keep me in mind. I can do things cheap and fast.

Brett Trainor (: 31:39

Yeah. We'll put all the links in the, in the show notes, but yeah, Michael's not hard to find. You'll catch them on LinkedIn. Um, and hopefully maybe we'll get you a little more regular spot on the podcast as well. It's funny that you, again, episode 13, I knew it was early days, but I didn't realize it was infancy. So you must've been doing me a favor back then because I think the first 20 were friends and family that came on. So

Michael Himmelfarb (: 32:00

I shudder to think of how that went. We're older and grayer now.

Brett Trainor (: 32:07

We don't have to listen, I won't link to it, but for sure. Absolutely. All right, Michael, we appreciate you coming back on and like I said, we'll get all your contact info into the show notes. And yeah, let's keep the conversation going because again, the more I've showcased a lot of folks that are doing consulting, doing some fractional, all viable paths, but the more we can start to uncover new opportunities, I think.

Michael Himmelfarb (: 32:18

Yeah, thanks for having me.

Brett Trainor (: 32:36

It's going to be a very interesting, it's definitely a very interesting time. So we'll see where we're heading. So I appreciate you spending a few minutes and we'll catch up with you in the not too distant future.

Michael Himmelfarb (: 32:40

sure. Sounds great.

Michael Himmelfarb (: 32:46

Yeah, thanks. Thanks for having me. It good talking to you again.