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title: Using AI to Build a Blazor App 1: Start With the Problem
description: Many AI-assisted projects fail because the idea was never properly defined before coding begins. Using a Blazor/.NET app as a case study, this post walks...
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# Using AI to Build a Blazor App 1: Start With the Problem

**[Telerik](https://daily.dev/sources/telerik)** · 8 min read · 0 upvotes · 0 comments

## Summary

Many AI-assisted projects fail because the idea was never properly defined before coding begins. Using a Blazor/.NET app as a case study, this post walks through how to use an LLM (GPT 5.5 via Codex) to interrogate a vague idea through structured back-and-forth questioning. The key insight is crafting a prompt that keeps the AI focused on problem exploration rather than jumping to technical implementation details. After a 45-minute session, the author arrived at a clearly scoped brief and a set of architecture decision records (ADRs). The post emphasizes that prompts rarely arrive fully formed and require iteration, and that this problem-definition step is foundational before any feature scoping or code generation begins.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.telerik.com/blogs/using-ai-build-blazor-app-1-start-problem>

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---

Tags: [#.net](https://daily.dev/tags/.net), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#blazor](https://daily.dev/tags/blazor), [#ai-assisted-development](https://daily.dev/tags/ai-assisted-development)

[View this post on daily.dev](https://daily.dev/posts/using-ai-to-build-a-blazor-app-1-start-with-the-problem-qagfzesij)

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