Hey everyone!
We’re excited to share our latest case study: AI at the Helm, a deep dive into how we built BrandInAMinute, a weekend project that turns a simple brand description into a fully realized brand identity in under a minute.
In this write-up, we show how quickly you can create something useful by combining text and image AI APIs into a cohesive, end-to-end product experience.d-to-end product experience.
🔍 What’s Inside the Case Study?
Over the course of this guide, we explore:
How AI APIs evolved into product-building primitives
From custom model training in 2016 to modern APIs from OpenAI, Claude, and Gemini, we walk through how the landscape shifted to allow solo developers and small teams to build powerful AI-powered apps with minimal overhead.The rise of popular AI wrappers
We highlight highly successful examples like Cursor and Jenni AI to show how packaging existing models into focused experiences often provides more value than building new models from scratch.
How BrandInAMinute works
A walkthrough of the full product flow: collecting brand inputs, generating a unified style guide, orchestrating five visual assets in parallel, and packaging everything into a downloadable ZIP or PDF brand kit.The glue code that matters
The system design decisions, prompt engineering techniques, and parallelized API orchestration patterns that transform a simple idea into a usable product.
🧠 Why It Matters
This case study explores what becomes possible, and how quickly you can move, when AI is accessible through APIs. With just six API calls, BrandInAMinute produces a complete, on-brand asset package—including a logo, hero image, ads, color palette, typography, and more—that is immediately usable by solo founders, small teams, or side projects looking to get started fast.
In the world of AI wrappers and productized AI, real innovation often comes from thoughtful design, orchestration, and delivery, rather than the models themselves.
🖥️ How to Access the Case Study
The full case study is available for free to everyone on our mailing list. You can read it as a downloadable PDF:
Prefer reading it online? Head to largeapps.dev/case-studies/ai-at-the-helm to explore the case study on the web.
We’re currently working on several upcoming projects and case studies that continue exploring the intersection of product engineering and AI. If this kind of work resonates with you, we’d love to hear your thoughts, feedback, or suggestions on what you'd like us to dive into next.
Catch you soon,
Hassan & Addy