Key Takeaways
- In high-stakes, regulated AI environments like healthcare, quick prototypes often miss critical details related to security, compliance, and complex data handling.
- Janie Lee from Abridge, an AI company solving doctor's "pajama time," challenges the idea that prototypes are the "end-all-be-all" for product development at scale.
- Abridge prioritizes "crisp written clarity" (often in a markdown file) to force strategic thinking before development, asking why this specific problem should be solved by them.
- This written approach helps Abridge assess a feature's differentiation, its "right to win" against competitors, and whether it deepens their competitive moat or just adds "noise."
- Engineers like Chai Asawa prefer detailed written clarity to prototypes, finding it leads to faster, more impactful development of the right solutions.
When Prototypes Break: Abridge's Clarity-First Approach to AI
Most founders are told to prototype early and often. Build, test, iterate. Get feedback fast. But what happens when your product lives in a high-stakes, deeply regulated world like healthcare AI? For Janie Lee, a leader at Abridge, that common wisdom breaks down. Her "hotter take," as she puts it, is that prototypes are far from the "end all be all." Abridge, an AI company tackling doctor burnout and "pajama time" spent on documentation, learned that quick demos often fail to capture the true complexity of their work.
“It is very very difficult for a prototype to capture the full complexity of what can we or can't we do with this data,” Janie Lee explained. In healthcare, every decision about data — how it's used, secured, or integrated — carries immense weight. A flashy prototype might show a user interface, but it's silent on the intricate backend logic, the security protocols, the compliance checklists, or the edge cases that define real-world usage. Shipping a feature based on an incomplete prototype in this environment isn't just inefficient; it can be dangerous or even illegal. It means teams waste time building something that looks good but won't meet the rigorous demands of actual deployment.
The Strategic Power of Written Clarity
Instead of rushing to build, Abridge leans heavily into "crisp written clarity." This isn't about lengthy, old-school spec documents no one reads. It's about focused, strategic thinking captured in an accessible format, often a markdown file, that multiple teams and systems can use as context. This shift ensures that before a single line of code is written or a UI mock-up finalized, the fundamental questions are answered.
“In a world of so much noise, like crisp written clarity is more important than ever,” Janie Lee states. This clarity forces teams to strategically answer critical questions: “why is this problem the one our company and our product should solve? What happens if the next 20 competitors build this? Like why what is our right to win and does this help us differentiate in any way or are we just adding noise?” By forcing these questions, written clarity becomes a moat-building exercise. It guides investment into features that genuinely separate Abridge from the pack, rather than just adding generic functionality.
Chai Asawa, an engineer at Abridge, backs this up, noting that for complex tasks, engineers often prefer written clarity over a prototype. “Judgment and clarity always matters. It's like as an engineer sometimes I don't want a prototype. Actually I would like to see like I want the written the clarity that comes from writing and then we build that,” Asawa shared. This pre-computation of thought leads to more deliberate, faster, and ultimately more impactful development, avoiding the trap of building the wrong thing efficiently.
What to Do With This
For your next complex feature, especially one involving sensitive data, intricate integrations, or high regulatory scrutiny, try this: before opening your UI tool or writing any code, draft a concise but detailed written spec. Use Janie Lee's strategic questions as your guide: Why is this specific problem one your company must solve? How does this feature truly differentiate you? Does it deepen your competitive moat, or simply add another item to a generic list of features? If you can't articulate clear, compelling answers in writing, a prototype will likely just defer difficult questions, not resolve them.