Loved getting to geek with you, @Bsoutherland23! What a legend đ«Ą
The exact approach (âCLAIM Methodâ) is:
- Choose one goal (what KPI measures it, such as revenue)
- Locate the constraint (letâs say doing more BD is what needs to happen to grow revenue, but partner review is limiting BD time)
- Amplify the constraint (align AI and people to create capacity at the constraint OR make the capacity there worth more)
- Invest the freed capacity (the hard part. Time saved MUST become BD, or else the goal/ROI will not be achieved)
- Measure the goal itself (in this example, time saved doesnât matter unless it becomes BD activity, so measure BD activity and monitor pipeline efficiency so that more BD = more revenue)
This isnât easy, but itâs much easier than piloting a bunch of tools across the firm and trying to find the ROI later. đ«Ą
Replying to @Bsoutherland23 @claywelch
Also had a great conversation with @SMBderek about AI adoption in accounting firms and something Iâve been thinking a lot about lately.
You can give your team all the AI tools, agents, skills, and applications in the world, but if you canât change behavior and get people to actually use them, whatâs the point? Youâve just spent a bunch of money.
Thereâs a strong argument that the cultural and behavioral shift is even more important than the technology itself.
One thing I really liked about Derekâs approach was starting with the problem and working backwards. Find the constraint or bottleneck in your business, figure out whatâs causing it, and THEN determine whether AI can help solve it.
In accounting firms, that bottleneck is often at the partner level. Reviews, decisions, and approvals all pile up waiting on the partner. If you can solve that constraint, the ROI could be enormous.
I think thatâs a much better approach than building a bunch of cool AI tools that ultimately donât move the needle.
Really appreciated Derekâs perspective. Lots to think about as we continue down this road!
3/3 đ§”
đ«Ą
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As usual, Jon right on this.
And the accounting example hits home. Nearly every firm I work with is applying AI everywhere at once, with hopes of figuring out to convert it into revenue, profitability, or time back for life later. Or, training people to use their tools (usually Copilot đ€ą), which results in subpar usage and lots of âshiny objectâ endeavors by those who adopt it.
TOC would help them tremendously, but because itâs viewed as âsomething that applies to manufacturingâ/etc, thereâs resistance to it.
Here s why Greg is wrong, from someone who bought, grew, and sold one of these:
Nobody running of these is dumb, and the fact that they've survived is testament to the fact that they're smart.
To me, baked into this strategy is a sense of paternalism. Look at these dumb boomers. I can come in with absolutely zero industry experience and a Claude Code subscription and change this industry!!
The most pervasive dynamic within Main Street businesses is resource scarcity.
Not enough time or money to do any of the million things that you plan to.
Awesome, so you want to do some big Claude Code thing?
Cool, you're going to need to find time to do that between figuring out how to repair the trucks, fix your broken Google My Business listing, and not take a salary that month because of the reinvestment you're making with the hope that it will pay off.
Getting a CRM implemented correctly is hard enough!!
You need managers who enforce the process, employees who change their habits, and someone accountable when things break.
Now try rebuilding delivery around AI WHILE KEEPING THE BUSINESS ALIVE AND SERVICING DEBT.
You come in full of piss and vinegar and on day four your operations manager quits because she liked doing things the old way, and suddenly youâre covering her job instead of building agents.
Greg acknowledges key-person risk, but it deserves far more weight in his economics.
The people, process, and change management required to make even basic technology productive can consume years.
Innovation has to improve the performance of the whole business.
Justin Roff-Marsh and I have discussed the sequence: identify the constraint, get more productive use from its existing capacity, then add capacity where necessary to increase throughput.
Said another way ---If an accounting firmâs bottleneck is senior review, generating drafts ten times faster may just create a bigger queue.
You have to show how AI frees the reviewer, change the workflow so that capacity gets used, and then upgrade whatever limits further growth.
Technological innovation must drive global maxima, not local maxima.
Even real savings elsewhere need to be converted into lower expenses (which is only weak replacement) or redeployed against the constraint.
A list of automated tasks tells me very little about how much more profitable work the firm can complete.
Now put a large, expensive acquisition loan underneath that transition.
In the SBA buying range, debt payments compete with the money you need for implementation, training, replacement hires, and additional capacity.
Saving people time doesnât automatically remove their salaries.
Your plan is to do what? Have Betty train you in the first three weeks to replace her, and then you're gonna fire her. Let me know how that goes for you with a big ass loan due every month.
More than likely you're going to end up keeping Betty and adding a bunch of AI expenses, which are going to reduce all of your fancy pre-acquisition projections.
You can spend months paying for the existing payroll, new software, and human review before realizing any savings.... If at all.
And cutting a support role can make your scarce, expensive specialists less productive if they inherit its work.
Ultimately a playbook like the below is achievable but requires an enormous amount of experience, judgment, skill, etc.
And the idea that a corporate refugee is going to parachute in out of their W2 with a couple agents and transform a business model fundamentally feels like something that someone who's never tried to do it before in a real business would say.
I'm happy to have this debate with anybody who'd like to have it. I've both owned these businesses and built agents in an enormous number of these categories referenced.
There's a new version of this post
Derek Stanek retweeted
SpaceXAI and the Grok @bot team are letting me give away free Ultra Plans ($200) to people who reply below.
Grok Bot has been so fun to use, here are a couple use cases I'm using right now:
đ¶ Family Bot - helps me manage all of my kids' school and after-school stuff. I get like 5 emails per day for this.
đ¶ Item Seller Bot - I take pictures of stuff in my house and my bot creates listings (FB Marketplace for example) and manages the sale end to end.
Reply below and I'll DM you with a code!
I think about number 8 often, and it terrifies me.
Great thread, Iâll add some thoughts:
1. Pricing in the US is completely absurd. The link between pricing and value is entirely broken. Extremely mid hotels are hundreds of dollars a night; the average price for a new car is $50,000; really nothing feels like a deal. When you go out to eat, just assume youâll spend $100 minimum. One of my personal benchmarks, Fage 5% Greek yogurt used to be $4.50 per tub back in 2019. Now I spend $7.80
2. Major cities are worse than they were a decade ago. Things have improved relatively since the nadir, but only relatively. There is still real, noticeable, quality of life decline in most urban downtowns.
3. Ubiquitous pot. You smell it everywhere now. 20 years ago, youâd usually encounter somebody smoking. Today, the cigarettes are largely gone, replaced by marijuana. This is not an improvement
4. Asian culture is much more prominent, from music to cinema and television, books, food, and the list goes on.
5. Airports have generally improved. This might not be saying much, but itâs true, with certain exceptions
6. Politics is much, much, worse.
7. Food is much better. The millennial food revolution is taken for granted, but I grew up before it in the 1990s and I remember the old world. Eating isnât everything but the embarrassment of riches we now have is still underrated. You can get high quality food and drink almost anywhere now. Thatâs a major quality of life enhancement, even considering the prices.
8. Thereâs a broadly shared sense that Americaâs best days are behind it. A sort of background pessimism - on both the left and right - that shapes everything. Even in the optimistic corners of our society - Silicon Valley, say - the ambition primarily appears to be to escape the US - and the nation state itself, and even humanity - rather than to improve the country itself. Political ambitions are backward rather than forward looking.
9. Suburban amenities are significantly improved. If Americaâs major cities have mostly changed for the worse, Americaâs suburbs have changed for the better. Essentially all suburbs now have these âmixed developmentâ zones where if you blur your eyes slightly you can (sort of) imagine youâre living out a fantasy of life in Greenwich Village or Manhattan. Theyâre walkable (though you have to drive to get to them), thereâs clean play areas and green space for kids, a good variety of shops and breweries and beyond third wave coffee places and the like, and - because these are invariably private and because they arenât connected by public buses - there arenât any of the urban quality of life issues to deal with. The public has clearly woken up to this; all these places are absolutely heaving with people, even during the week.
10. The proliferation of conspiracies and apocalyptic thinking
11. The normalization of scams and âget yours by any means necessary so you can escape the permanent underclassâ type thinking.
12. A much degraded intellectual environment. Politics is one facet of it, but there are many others. For example, the recent Nolan interview in China thatâs gone viral on here this week. Odyssey discourse has been heavy for over a year in the US, but the relative quality of this interview is so much higher than anything weâve seen so far. As a comparison, think about that execrable Wilson piece in the London Review of Books - ostensibly a highbrow prestige publication. The difference is honestly embarrassing, and synecdoche of what I see generally: for example, in academia.
Derek Stanek retweeted
opus 5 is a VERY interesting release for a few reasons
1. it showed that the general benchmarks we use today are almost completely useless now
opus 5 is nowhere near fable in practical use, not even close. anyone whoâs used it meaningfully can tell this very quickly after a few tasks. yet opus beats fable on many benchmarks
i now trust domain specific benchmarks built with private datasets a lot more than the popular ones. perhaps the future is everyone running their own evals because the public ones are really not telling us much
2. it seems with the 5 series, anthropic is trying a new way of training models
previously, the same generation of sonnet and opus were often released at the same time or sonnet comes out before opus, which indicates sonnet and opus were trained by separate pipelines in parallel
with the 5 series, it was very clear that they trained mythos first, and then distilled it into sonnet and opus. it seems this approach has a big influence on the models
seeing sonnet 5 being a flop and opus 5 getting pretty mixed reviews already, iâm not sure this is working out
3. âhow pleasant is it to work with the modelâ used to be a strength in claude, but now itâs not. honestly, grok is my favorite right now on the âpleasantâ dimension. kimi is not bad either
it feels like both anthropic and openai are giving RLHF less care, in favor of scalable RL thatâs machine verifiable
this almost looks like AI is directing humans to build a world thatâs more friendly for machines rather than humans, and most humans donât even realize they are being manipulated to help with that
almost every new generation of frontier models now talk more jargons, need more steering to do what you want, and are just less fun to work with
if this continues, AI will start to speak their own language that looks like English but average humans canât understand. they will choose to do things that their human user never asked for. are we already failing at alignment?
Dear lead-gen/biz dev/client acquisition providers,
Thereâs only one offer that you should be making: a percentage of what you generate.
Anything else is a misaligned value prop.
11/10 post
If they really start to gatekeep who gets to use the best models, that is a declaration of war.
This prospect fills me with the most sincere, bodily cypherpunk will-to-power that I've ever felt (at least since I was a teenager). If they really go down this route, I would go all-in on building the most psychotic swarms of open-source models and fine-tunes possible, all geared toward a Chaotic Good jamming of the entire institutional public sphere. If we didn't do that, all of political life and the marketplace of ideas would be over before we know it.
It's one thing if the top models become too expensive for me or others to use (I'm already pricing that in, and if you can't build something profitable enough to climb that ladder as it gets pulled up, then that's fair enough).
But if the ladder gets pulled up politically, now, so only select institutional players get access to the most intelligent models, then any mature American man should be as energized as gun collectors are around the 2nd Amendment, or liberal women are around Planned Parenthood.
Derek Stanek retweeted
I have strong opinions on this
Why Remote Work is White Collar Fraud.
"I have a three-year-old and a five-year-old. The idea that I could do any work at my house is like a total fantasy.
The kids come home at 3pm, your work day needs to keep going. I'm highly against it." @typesfast
Iâve been testing Le Chaton Fat for a week. In one test, LCFat realized the requested code change wouldnât run on my comp, so it invented a new memory type and physically rebuilt my computer around it.
I can now build and make toast from the same machine. ASI achieved.
Everyone in Silicon Valley should be focused on solving their largest and most annoying problem: vocal fry.
Politicians need power to change things, so they seek power. Founders change things, so they are given power.
Perhaps the issue today is that our system is optimized for those who seek power, rather than those who actually change things.
Replying to @Tablesalt13
I will never run for any office, and neither should anyone want me to.
Founders are good at running the things that they found and nothing else.






















