A reflection on the temptation to jump straight into AI-assisted prototyping without proper planning, and why traditional sketching remains a valuable first step.
The promise of AI-assisted development has revolutionized how we approach prototyping. With large language models, we can now generate functional code, UI components, and entire application structures with unprecedented speed. It's tempting to dive straight into this new workflow, letting the AI translate our vague ideas into working prototypes.
But as Jim Nielsen points out through an unexpected biblical reference, there's wisdom in counting the cost before building. Luke 14:28-30 warns about starting construction without ensuring you can finish it - a principle that applies perfectly to modern prototyping with LLMs.
The ease of AI prototyping creates a unique trap. When generating code costs only tokens and time, we might skip the crucial planning phase that traditional development enforced by necessity. Nielsen describes finding himself mid-conversation with an LLM, suddenly realizing he's lost track of what he's actually trying to build.
This isn't just a minor inconvenience. The cognitive cost of context-switching and the time spent iterating on poorly-defined ideas can exceed the cost of a few minutes of upfront planning. When you're working with an AI, you're essentially having a conversation about your code. Without clear direction, that conversation can meander, leading to prototypes that don't quite match your vision.
Here's where sketching offers surprising advantages. A quick sketch on paper or a whiteboard has several benefits that AI prototyping can't match:
Zero cost for failed ideas: When you sketch something and realize it won't work, you've spent nothing but a few seconds. No tokens consumed, no API calls made, no mental energy wasted on a dead end.
Forces clarity of thought: The physical act of drawing forces you to make decisions. You can't sketch a vague idea - you have to commit to specific layouts, flows, and interactions. This clarity translates directly into better prompts when you do engage the LLM.
Preserves context: A sketch serves as a persistent reference point. Unlike a conversation with an AI that can drift, your sketch remains anchored to your original vision, helping you stay on track during the prototyping process.
Enables rapid iteration: You can explore multiple approaches in minutes, comparing them side by side. This breadth of exploration is much harder to achieve when each iteration requires regenerating code.
The key insight isn't that AI prototyping is bad - it's that it works best when combined with traditional planning methods. Think of sketching as creating a blueprint before construction. The blueprint doesn't build the house, but it ensures everyone understands what's being built before the expensive work begins.
This approach acknowledges that prototyping is inherently messy. Getting confused, changing direction, and discovering new requirements are all natural parts of the process. The goal isn't to eliminate this messiness but to channel it productively. By sketching first, you ensure that when you do engage the LLM, you're asking the right questions and providing the right context.
For developers and designers working with AI tools, this means developing a new discipline: resist the urge to start coding immediately. Instead, take a few minutes to sketch your idea, map out the user flow, or diagram the architecture. This small upfront investment often saves significant time and tokens later.
The most efficient prototyping workflow might look like this: sketch your idea → refine the sketch → create detailed prompts based on the sketch → engage the LLM → iterate on the generated code. This sequence ensures that each token spent on AI generation moves you closer to your actual goal, rather than exploring dead ends or chasing vague concepts.
As AI tools become more powerful and accessible, the temptation to skip planning will only grow stronger. But the fundamental truth remains: clear thinking precedes good building. Whether you're constructing a tower or prototyping an application, counting the cost upfront - through sketching, planning, or simply thinking - remains one of the most valuable investments you can make.
Comments
Please log in or register to join the discussion