37 Comments
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Raghav Mehra's avatar

Thank you Elena for working cohesively with us to putting this together. It's been great learning from you and I am really looking forward to more such applications of PM theory in practice. Can't wait for our audiences to learn about the tech breakdown on Tuesday! 😊

Elena | AI Product Leader's avatar

Thank you Raghav! I see this is resonating well with everybody! There is certainly a gap when it comes to vibecoding and is "okay what do I do now?"

It was great to bridge that gap with you both. Can't wait for Tuesday!

Raghav Mehra's avatar

Absolutely, Alena, the architecture relies on the objective and if you are building for public it always helps to outline what, why and how of the systems. Thank you for reading! 🤗

ToxSec's avatar

‘The shift from “prompter” to “architect” is the most important leap a Product Manager can make in 2026.’

love this. great summary. made a lot of sense. i’m looking forward to seeing how people are putting this into action.

Elena | AI Product Leader's avatar

That "architect" shift is everything! 🙌 2026 is the year we stop just asking for things and start designing the systems that build them. I am really looking forward to seeing how others apply this logic too.

Raghav Mehra's avatar

Thanks ToxSec, sorry, Chris, isn't it? :P Glad you found the architecture useful and we will be putting up the full stack markdown for BMAD orchestrator soon!

ToxSec's avatar

awesome!!! and yeah secret identity gone 😛 chris works haha

Elena | AI Product Leader's avatar

Haha oh boy, now I know! 🤣

Jenny Ouyang's avatar

Great! Now I know as well :)

ToxSec's avatar

🤫

Mia Kiraki 🎭's avatar

Loveeeee this post, also I thought I was the only one (okay probably me and 3 other people) that gives actual names to their agents 🤣

Some of mine are: Gossip Girl (research), and Bilbo Bloggins (long form content planning) 👻

Absolutely bookmarking this because I need more time to go through it, thank you!

Raghav Mehra's avatar

Hahah thanks Mia, we actually did not innovate much with names (it was arbitrary). Next time maybe I have a bit of fun in these projects in this regard 😂. So happy you found it actionable! We learn a lot from Elena in vibecoding! 🌟

Mia Kiraki 🎭's avatar

It was a great article guys! ❤️

Elena | AI Product Leader's avatar

HAHA I love these names!!! What’s the point of havin agents if you can’t name them??? 😂

Mia Kiraki 🎭's avatar

Literally no point!! 🤣

Alena Gorb's avatar

This is such a great framework and really the approach that differentiates business problem solvers with AI from little hobby projects. There's nothing wrong with the latter if you're doing it for yourself, but the minute you start building for others, you need to consider what their needs are, not what you think their needs are.

This is a remarkably simple but powerful agent system that helps you solve real user problems! Thank you, Elena and Raghav, for sharing this.

Elena | AI Product Leader's avatar

I love that distinction, Alena! Moving from hobby to business is exactly why the BMAD framework exists. It is all about shifting from what we think people need to what they actually do. So glad it hit home!

Opinion AI's avatar

This hits hard because it’s true: vibe coding gets you to the first wow, but the last 40% is the unsexy part, systems, defaults, edge cases, and the daily behavior you’re designing for. When a creator asks what should Day 7 look like? they’re not asking for features, they’re asking for a repeatable machine.

The future winners won’t be the fastest builders, they’ll be the ones who pair AI speed with decision logs + ruthless scope cuts + a simple operating system (so you don’t ship 20 nice-to-haves and miss the 2 things users actually need).

Elena | AI Product Leader's avatar

This is gold packaged in a comment! That last 40% is where most AI projects fail because people forget it is still a product, not just a prompt. Ruthless scope cuts and a repeatable system are the only way to ship real value, not just a "wow" moment. Thanks for the great summary!

Opinion AI's avatar

Exactly, the last 40% is where toy demos die and products are born: edge cases, defaults, onboarding, trust, and repeatable delivery.

AI teams that treat prompts like prototypes but ship with scope discipline + systems will be the ones that actually create durable value (not just viral wow clips). 

Raghav Mehra's avatar

You summed it up well @Emerging AI. It's about creating system that optimizes your workflow rather than just multiplying it!

Mike Goitein's avatar

Solid logic and methodology, Elena! Powerful stuff, amazing to see this in action!

Elena | AI Product Leader's avatar

Thanks, Mike! Coming from you, that means a lot. We really tried to ground the "vibe" in actual product strategy and logic so it is repeatable for any team. Glad it resonated!

We'll share the technical details of this on Tuesday, so stay tuned for this powerful combo. :)

Cristina's avatar

Thank you for sharing your experiences. Seeing the behind the of your process is super inspiring, thanks for the breakdown! You know I am a big fan of you all! <3

Raghav Mehra's avatar

Thank you so much for these words Cristina! Means a lot to me :D

Cristina's avatar

You are so welcome! <3

Elena | AI Product Leader's avatar

Thank you so much, Cristina! I am glad the behind the scenes was useful. We really wanted to show that it is not just magic, it is a system. Appreciate the support as always!

We'll share the technical details of this on Tuesday, so stay tuned! :)

Cristina's avatar

Looking forward to it! 💕

Karo (Product with Attitude)'s avatar

Really great to see this breakdown and your thinking behind it. I also love that John’s default setting is “ruthless.” 😂 Thank you for this great article!

Raghav Mehra's avatar

Thank you Karo, really appreciate you reading this! I have been trying to take a page of your book when it comes to building with AI! 😊

Jenny Ouyang's avatar

Thank you both for sharing your building phases! They were very different from mine, so really glad to learn something new :)

Raghav Mehra's avatar

Thank you Jenny! Really appreciating you reading it and I have learned so much about building with AI from you! :D

Elena | AI Product Leader's avatar

So glad it was useful, Jenny! There is no one right way to build, and sharing these different phases is how we all get better.

For example, I would never have moved so quickly with bad-valentines.lovable.app if I had been over-processing it. Since that was just a fun game, I didn't need a system to watch over me. I save the framework for the products that need to scale.

I would love to hear more about your process too. Thanks for reading!

Jenny Ouyang's avatar

That was also a fun game! Such quick prototyping and fun activities are only available after vibe coding :)

And yes I’d love to share my process too!

Om Prakash Pant's avatar

One thing I kept thinking about while reading this is whether giving the AI three different roles really gives us three different perspectives.

Mary might challenge the idea, John might cut the scope, and Winston might question the architecture, but they’re still working from the same context and ultimately the same set of assumptions.

And i think the human review between those steps might matter more than the three personas themselves.

anna levitt 🫧's avatar

I absolute love this! I’m running into the similar issue, vibe coding the app is cool but what’s next? And people ask real questions like privacy, data storage, there is so much to think about when making a product usable and scalable. Thanks team for sharing the insights!

Elena | AI Product Leader's avatar

Right? Vibe coding is fun for the prototype, but it doesn't solve for the hard stuff like privacy or storage. 🤪 That is why we built the BMAD framework. It is all about moving from a cool demo to a repeatable machine that people can actually trust. Glad it resonated!