Does this include making annoying Linkedin posts every other day about how AI 30x'ed your engineering output and killed graphic design for real this time?
It's a slide deck telling people what a product can do (that's a normal thing to release for a company), but the thing it tries to sell you on is building your own business based on their tool.
Which makes no sense the way they sell it, because "founding a business" is no standard process that could be formalized in a way like that, nor does it make sense for society to have people founding businesses at a scale comparable with mowing your lawn or doing your taxes.
All of this feels just unreal because it is unreal. Founding cannot be a commodity. If it is, you have no moat or point, meaning you instantly collapse again, because you are an interchangeable commodity.
> Founding cannot be a commodity. If it is, you have no moat or point, meaning you instantly collapse again, because you are an interchangeable commodity.
With the recent AMD announcement [1], local models are likely the future indeed. Cloud will be the place for remote sessions, remote agents, continuous agents. But I foresee a place where phones, laptops, PCs, and even perhaps dedicated hardware just for AI, will be the place for most AI-related workloads.
Good guide but I think the product market fit portion of a startup is so key that you need no other skills except that to make a good startup. AI won't help you with that portion, only in depth knowledge of a industry or natural product intuition will.
Who knows, maybe an AI ideated and AI created product will be the best app of 2026.
When I see notes like this, I wonder whether every success story can really be summarized and patternized this way. If you're building an AI based startup, what exactly would be the point of differentiation? That seems to be the difficult part
I’m pretty sure the one place people will never believe AI can be applied is “being a founder”.
There’s just too much invested, in terms of beliefs and money into the idea that founders are special and therefore deserve seven-eight figures off of the capital pumped into their unprofitable products.
You’ll see it here in comments. People will defend A”I” applied to software engineering wherever (not) possible, but building companies? Now listen buddy there’s an irreplaceable human genius at work.
I demo'd an automated agent platform here and showed it doing PRs, and the CEO asked me what i'd do for a living after this did all my work for me, and I said, "What do you think that you do that an agent can't do?".
>As an AI-native startup founder, your responsibility is to know what's in your
codebase, understand any potential exposure vectors, and not ship obvious
vulnerabilities to real users who are trusting you with their data.
This is fairly funny coming from the company whose employees report merging in hundreds of PRs per engineer per day, and accidentally leaked their own source code through a security misconfiguration in a package manager they own.
I've noticed that seemingly every single tech company has re-branded themselves as "AI" company. Add a RAG system and you're now AI. Add a AI-chatbot, and you're now AI.
I think it's easy for those already in the tech industry to pooh-pooh this, as the previous comments on this post have.
Right now, people with ideas prompt their LLM by saying "I know how to make x, how do I turn that into a business?" Anthropic knows that, and releasing a playbook like this is a way to make people who haven't asked that question think to ask it.
For a non-technical person with a small business they don't know how to operationalize, an agentic workflow is a game changer. You might go from only getting 30% of your work time to build and improve your actual product to 50% or 70%.
Can you imagine having a knitting business, and suddenly being able to gauge interest for different colors with a website selector you'd have no idea how to automate? Or needing to close your shop for an upcoming holiday, and having Google and Apple Maps and your website all updated to reflect your closed dates cleanly, without having to fight through every UI? An engineer goes "bah", a baker goes "I just got to sleep two more hours".
I truly think that people in the tech industry do not understand how hard technology is for people who aren't in it.
AI has changed the build for sure, it is a lot easier to build now, a lot easier to practice multiple copywriting ideas, do market research ... etc.
There is something that will never change for being a founder, you need to sell, and for that you need network and credibility. It was never about the building, its all about the selling. AI has not changed that.
I've been at a few VC / startup events recently and I was stunned to see the number execs frothing at the mouth about finding a 1-person-ai-driven-billion-dollar-startup. This "playbook" is probably not going to help.
The feedback from the VC crowd is that the historical 5 year startup timeline is down to 18 months these days. That means finding PMF, funding rounds, hiring and scaling to $25 mil/year. That's the VC playbook changer which has them all worried about businesses which don't go all in for AI.
Especially as someone outside the US, building a startup on AI sounds like a bad idea. Some AI company fails to pay their bribes on time, or your country doesn't cede territory to the US president, the AI gets yoinked and you are left with Mistral or Qwen.
(Technically that also applies to MS Teams, Google and so on and not just AI)
The challenge: Ask an AI tool for evidence supporting what you already believe,
and it will find it. Confirmation bias now comes with a research engine.
80 comments
[ 2.1 ms ] story [ 69.7 ms ] threadstep 2: find a way to solve that problem for less money than they are willing to pay
step 3: AI???
It's a slide deck telling people what a product can do (that's a normal thing to release for a company), but the thing it tries to sell you on is building your own business based on their tool.
Which makes no sense the way they sell it, because "founding a business" is no standard process that could be formalized in a way like that, nor does it make sense for society to have people founding businesses at a scale comparable with mowing your lawn or doing your taxes.
All of this feels just unreal because it is unreal. Founding cannot be a commodity. If it is, you have no moat or point, meaning you instantly collapse again, because you are an interchangeable commodity.
With the recent AMD announcement [1], local models are likely the future indeed. Cloud will be the place for remote sessions, remote agents, continuous agents. But I foresee a place where phones, laptops, PCs, and even perhaps dedicated hardware just for AI, will be the place for most AI-related workloads.
Who knows, maybe an AI ideated and AI created product will be the best app of 2026.
There’s just too much invested, in terms of beliefs and money into the idea that founders are special and therefore deserve seven-eight figures off of the capital pumped into their unprofitable products.
You’ll see it here in comments. People will defend A”I” applied to software engineering wherever (not) possible, but building companies? Now listen buddy there’s an irreplaceable human genius at work.
Even if you believe AI-native startup is the future (the comments are divided), you would at least want to hear from an impartial source.
This is just marketing material.
This is fairly funny coming from the company whose employees report merging in hundreds of PRs per engineer per day, and accidentally leaked their own source code through a security misconfiguration in a package manager they own.
I've noticed that seemingly every single tech company has re-branded themselves as "AI" company. Add a RAG system and you're now AI. Add a AI-chatbot, and you're now AI.
"<filename>-05062026_v3 (1).pdf"
So there were 4 iterations on 5th of June alone for this document
Right now, people with ideas prompt their LLM by saying "I know how to make x, how do I turn that into a business?" Anthropic knows that, and releasing a playbook like this is a way to make people who haven't asked that question think to ask it.
For a non-technical person with a small business they don't know how to operationalize, an agentic workflow is a game changer. You might go from only getting 30% of your work time to build and improve your actual product to 50% or 70%.
Can you imagine having a knitting business, and suddenly being able to gauge interest for different colors with a website selector you'd have no idea how to automate? Or needing to close your shop for an upcoming holiday, and having Google and Apple Maps and your website all updated to reflect your closed dates cleanly, without having to fight through every UI? An engineer goes "bah", a baker goes "I just got to sleep two more hours".
I truly think that people in the tech industry do not understand how hard technology is for people who aren't in it.
There is something that will never change for being a founder, you need to sell, and for that you need network and credibility. It was never about the building, its all about the selling. AI has not changed that.
(Technically that also applies to MS Teams, Google and so on and not just AI)
Loss of objectivity
The challenge: Ask an AI tool for evidence supporting what you already believe, and it will find it. Confirmation bias now comes with a research engine.