How to Write a Build Spec for Your AI App (Beginner Guide)
This article provides a beginner's guide on how to write a build specification for an AI-powered app, emphasizing the importance of having a clear plan before starting the development process.
Why it matters
This article provides a valuable guide for beginners on how to effectively leverage AI tools to build apps, emphasizing the importance of planning and specification before starting the development process.
Key Points
- 1Vague prompts lead to AI guessing the user, features, and scope, resulting in a drifting build
- 2A build specification helps provide structured context for the AI to work from at the start
- 3A good beginner build spec covers the target user, core problem, key features, MVP scope, and user flow
Details
The article explains that when beginners start building an AI app by simply describing what they want in plain English, the AI has to guess the user, features, and scope, leading to a drifting build and frustration. The author suggests that the solution is to write a build specification before starting the development process. A build spec is a short, structured document that describes the app's target user, the core problem it solves, the key features it must have, the minimum viable product (MVP) scope, and the user flow. This provides the AI with a clear foundation to work from, preventing scope creep and other issues that arise from vague prompts. The article cites the example of the author's own app, TasteCheckApp, where the lack of a clear plan at the start led to a messier development journey than necessary. The article also mentions that writing build specs for AI agents has become a mainstream idea, with guidance from industry experts like Addy Osmani at Google.
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