The idea that the moat isn’t the tool but the system that accumulates proprietary signal over time really resonated. Most people are still operating at the “prompt layer,” which is inherently copyable.
The moment workflows start capturing audience language, outcomes, and feedback loops, the advantage compounds differently.
great set of systems and well articulated into three easy to follow stages!1 Thank you so much, makes it easiers for smone to follow and take these systems and start putting for themselves as a pathway
Thank you for the mention James!! :) The AI tutor is one of my fav things I've built because it refuses to let me get away with "yeah I understand this" haha.
Very interesting angle on data accumulation... I've been building a lot of systems and the biggest thing I see is people wanting the late game infrastructure now without having done the early game data collection. Like, e.g. they want the lead scoring system before they even know what their ICP says when they're ready to buy.
I guess what I wanted to say is - the architecture might seem easy but ttraining the data is super hard, and nobody wants to hear that it just takes time...
Thanks for that thoughtful comment! Very true. I think it’s because they’re blinded by AI’s powers as well. They think that this tool will save them and become this awesome plug-and-play thing — but it’s actually the things you bring to it as a business/brand that will make it powerful. Especially as people adopt AI more and more.
That’s the idea. It’s not inherently bad to build your fancy systems from the get go, but you increase the risk — which might not align with what most businesses/creators want.
The idea that the moat isn’t the tool but the system that accumulates proprietary signal over time really resonated. Most people are still operating at the “prompt layer,” which is inherently copyable.
The moment workflows start capturing audience language, outcomes, and feedback loops, the advantage compounds differently.
That’s exactly what I was thinking of :) Thanks for reading, Mandhir.
great set of systems and well articulated into three easy to follow stages!1 Thank you so much, makes it easiers for smone to follow and take these systems and start putting for themselves as a pathway
Thank you, Dheeraj!! I hope it’s helpful to people.
Thank you for the mention James!! :) The AI tutor is one of my fav things I've built because it refuses to let me get away with "yeah I understand this" haha.
Very interesting angle on data accumulation... I've been building a lot of systems and the biggest thing I see is people wanting the late game infrastructure now without having done the early game data collection. Like, e.g. they want the lead scoring system before they even know what their ICP says when they're ready to buy.
I guess what I wanted to say is - the architecture might seem easy but ttraining the data is super hard, and nobody wants to hear that it just takes time...
Thanks for that thoughtful comment! Very true. I think it’s because they’re blinded by AI’s powers as well. They think that this tool will save them and become this awesome plug-and-play thing — but it’s actually the things you bring to it as a business/brand that will make it powerful. Especially as people adopt AI more and more.
The stage based approach keeps people from building fancy systems before they have real signal.
That’s the idea. It’s not inherently bad to build your fancy systems from the get go, but you increase the risk — which might not align with what most businesses/creators want.
It's just sooo important to systematically capture your unique voice DNA, mining your specific audience's exact language! 🩷🦩
It really is! :)
Thank you for this article! Comes at the right time as im starting to build out my AI writing system!
Amazing! I hope it will help :) If you have any questions, or if there's anything I can help with, just let me know!
Thank you James for such a comprehensive piece into building system with AI that add defensibility to one's work. Thanks for the mention as well! :)
Thanks for reading! Your work is awesome