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What if your AI workflow is the reason your brand still looks generic?
Q2 forced me to reset how I build everything creatively and honestly… I simplified it way down.
Right now my process is just two tools, but waaay more intention behind them.
I’m using Claude to actually think with me. I feed it strategy, references, and the full brand world, and it translates that into really detailed prompts. When you pair that with Nano Banana 2, you finally start seeing visuals that actually feel like your brand.
I stopped expecting AI to figure it out and started directing it like a creative partner.
That’s also why I moved away from MidJourney. The second you need anything brand-specific like real text, packaging, or logos, it starts to fall apart. It’s great for vibes, not for building real brand systems.
This workflow forces more clarity upfront, and the output is 10x more intentional.
Curious how everyone else is using AI right now… are you directing it, or letting it lead?
*Concept only. Not an official collaboration.
• Apr 16
i love your break down
Thank you!! 🙌
good talk
You are right
Brother
Also switched to Claude recently 10/10! 🙌
me too..
Yay!! How are you liking it so far?
Exactly!!
Fantastic one
Thank you!!
nice product ever
💛
awesome video Sabrina
Well said, like i do say Ai doesn't have emotions but human does so which means it pours out whatever you gave to it. The right intentions to whatever you do bring tractions.
yess exactly, it just reflects whatever you give it!
This is the 'Shift' most teams miss. In data, we see the same pattern: people ask AI for 'insights' (vibes) rather than feeding it the structural logic of the business.
The output is only as intentional as the architecture behind it. Whether it's a brand visual in Nano Banana 2...
100%! Architecture is the perfect work to describe it honestly!
Wow, this is really nice
Aww thanks!
You explained this in a way that’s both practical and easy to follow.
💛 Thanks!
Love to see AI used in a more collaborative way! This emerging technology has a lot of potential, if we can augment human talent instead of automating it out of the process. Did you see some of the legislation around using non-potable water and closed loop systems for cooling in...
yeah same, it’s way more interesting when it’s a collab not a replacement. omg yes I haven’t gone deep on that yet but it’s really cool, figuring out the environmental impact side is sooo important
I am trying Claude too nowadays, really good tbh
right?? it’s so good
Nice talk
🙌
🧠🧠🧠ðŸ§
🤓
Finally, someone said how Mid-journey doesn't support when you get a little specific or the moment you add tiny details to your prompt, it somehow loses something or another. Now I honestly feel that you can build the right visuals with the right prompt without mid.
A few months...
literally 😠it starts strong then falls apart when you need specifics
This is Good,
But i think i would need you to give me personal class to fully understand it
haha wait I might actually do something like that 👀
Love the clarity here. The ‘brand-specific’ failure point with MidJourney is so real, great for a mood board, terrifying for an actual logo. Quick question: when you feed Claude your strategy + references, how much detail are we talking? Like a few paragraphs or a full creative...
I actually go pretty deep. I’ll drop in the full strategy + PDF, references, everything. It’s basically like building a mini trained agent for that brand.
I’ve found that’s what helps the most with consistency, it keeps everything way more on-brief vs starting from scratch every time
That makes a ton of sense, treating it like a mini trained agent vs. a prompt generator. I think I’ve been under-feeding mine out of fear of clutter, but you’re convincing me to go all in.
Nice
🙌
Thanks for the advice on how to use AI in a better way.
Of course!! 💛
nice!
nicee
nice one
I'm definitely directing it
Thanks for sharing
I believe Claude is exceptional. I truly do.
From my own POV, you got everything right. Well said
That's a true talk 💯
💯
• Apr 29
Claude thinks far better than Chagpt and doesn’t give generic answers. This workflow is really nice.
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After exploring brand directions with Melius last week, the next thing to figure out was where the brand actually lives.
So I used Claude Design to work on my personal creative studio's web presence and pitch deck, and to see where it's strong and where it still falls short.
Results below:
Excellent work. It's clear a lot of thought went into both the strategy and the visual execution.
A few weeks ago one of my bigger AI clients came back with a new scope focused on improving parts of their website experience 🚀
What you see here is the updated direction for the homepage and first screens. Compared to the previous version, this one feels way more functional, easier to understand, and overall much closer to the actual level of the product and business itself.
During the process I focused a lot on product-oriented thinking, user behavior, clarity, structure, and small marketing-focused details through the design instead of just trying to make things look flashy.
And thankfully, the client ended up approving the direction really fast 👀
There’s actually a lot more cool stuff inside this project — more pages, details, interactions, and updates across the whole experience.
Would be curious to know, would you guys like to see a full case study with more mockups, videos, and breakdowns from this one?
Of course!
CasePrepAI: Insurance Case Management System
CasePrepAI was a workflow simplification and operational clarity project disguised as an AI product.
The core problem was not the lack of features, it was the amount of cognitive overload insurance teams faced while handling complex case preparation workflows across fragmented systems, documents, communication channels, and repetitive manual processes.
Most insurance workflows are operationally dense. Teams spend significant time gathering information, reviewing case details, organizing documentation, and preparing reports across tools that were never designed to work together cohesively.
My role was to rethink how AI could reduce operational friction without disrupting critical human decision-making.
Instead of designing AI as a standalone assistant, I approached the platform as a collaborative workflow system:
What tasks are repetitive?
Where do users lose time?
Which decisions require confidence and visibility?
What should AI automate versus support?
This led to a more structured, AI-assisted experience focused on speed, clarity, and workflow continuity.
I redesigned the information architecture to better support high-volume case management, simplified complex navigation paths, and introduced interaction patterns that made large datasets and case histories easier to scan, prioritize, and act on.
One of the key judgment calls was intentionally reducing unnecessary AI exposure across the product. In industries like insurance, trust and clarity matter more than novelty. Rather than forcing conversational AI into every workflow, I focused on embedding intelligence contextually where it improved efficiency, summarization, recommendations, and preparation speed.
The result was a platform direction that felt less like a traditional enterprise tool and more like an intelligent operational workspace designed around how insurance teams actually prepare, review, and manage cases under pressure.
More importantly, the project demonstrated my approach to product design:
I simplify complex systems, align AI with real user workflows, and design products that improve operational decision-making, not just visual interfaces.
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