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+# How We Built TutorialValidator to Automatically Validate Documentation Tutorials
+
+Writing a tutorial is hard. Keeping it correct over time is even harder.
+
+If you maintain technical documentation, you probably know this pain: a tutorial that worked three months ago can quietly break after a framework update, a package change, or a small missing line in a code snippet. New developers follow the steps, hit an error, and lose trust in the docs.
+
+That exact problem is why we built **TutorialValidator**.
+
+TutorialValidator is an open-source, AI-powered tool that checks whether a software tutorial actually works from start to finish. You give it a tutorial URL, and it behaves like a real developer following the guide: it reads each step, executes commands, writes files, runs the app, and verifies expected results.
+
+We first created it to validate ABP Framework tutorials internally, then shared it publicly so anyone can use it with their own tutorials.
+
+![TutorialValidator Orchestrator](docs/images/image.png)
+
+## What Problem Does It Solve?
+
+Most documentation issues are not obvious during review:
+
+- A command assumes a file that has not been created yet
+- A code sample misses a namespace or import
+- A step relies on hidden context that is never explained
+- An endpoint is expected to respond, but does not
+
+Traditional proofreading catches wording problems. TutorialValidator targets **execution problems**.
+
+It turns tutorials into something testable.
+
+## How It Works (Simple View)
+
+TutorialValidator runs in three phases:
+
+1. **Analyst**: Scrapes tutorial pages and converts instructions into a structured test plan
+2. **Executor**: Follows the plan step by step in a clean environment
+3. **Reporter**: Produces a clear result summary and optional notifications
+
+![TutorialValidator Analyst](docs/images/image-1.png)
+
+The key idea is simple: if a developer would need to do it, the validator does it too.
+
+That includes running terminal commands, editing files, checking HTTP responses, and validating build outcomes.
+
+![TutorialValidator Executor](docs/images/image-2.png)
+
+## Why This Approach Is Useful
+
+TutorialValidator is designed for practical documentation quality, not just technical experimentation.
+
+- **Catches real-world breakages early** before readers report them
+- **Creates repeatable validation** instead of one-off manual checks
+- **Works well in teams** through report outputs, logs, and CI-friendly behavior
+- **Supports different strictness levels** with developer personas (`junior`, `mid`, `senior`)
+
+For example, `junior` and `mid` personas are great for spotting unclear documentation, while `senior` helps identify issues an experienced developer could work around.
+
+## Built for ABP, Open for Everyone
+
+Even though TutorialValidator was born from ABP documentation needs, it is not limited to ABP content.
+
+It supports validating any publicly accessible software tutorial and can run in:
+
+- **Docker mode** for clean, isolated execution (recommended)
+- **Local mode** for faster feedback when your environment is already prepared
+
+It also supports multiple AI providers, including OpenAI, Azure OpenAI, and OpenAI-compatible endpoints.
+
+## Open Source and Extensible
+
+TutorialValidator is structured as multiple focused projects:
+
+- Core models and shared contracts
+- Analyst for scraping and plan extraction
+- Executor for step-by-step validation
+- Orchestrator for end-to-end workflow
+- Reporter for Email/Discord notifications
+
+This architecture keeps the project easy to understand and extend. Teams can add new step types, plugins, or reporting channels based on their own workflow.
+
+## Final Thoughts
+
+Documentation is part of the product experience. When tutorials fail, trust fails.
+
+TutorialValidator helps teams move from “we think this tutorial works” to “we verified it works.”
+
+If your team maintains technical tutorials, this project can give you a practical safety net and a repeatable quality process.
+
+---
+
+Repository: https://github.com/AbpFramework/TutorialValidator
+
+If you try it in your own docs pipeline, we would love to hear your feedback and ideas.
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