Building a 4,000-Page Site with AI: From Task-Based to Loop-Based Workflow

说明与用途

作者通过从任务导向转向迭代循环的工作流，利用AI构建了一个拥有4000多页的网站。这种方法提高了质量控制和美学一致性，并将SEO视为持续的调整过程，而非最终步骤。

问题

Managing the growth and quality of a large-scale website (4,000+ pages) without traditional developer expertise, while avoiding generic AI-generated outputs and ensuring consistent taste and SEO alignment.

结果

The author successfully built and maintained a 4,000+ page website without traditional coding skills by shifting from a task-based to a loop-based workflow. This approach allowed for better quality control, consistent aesthetic direction, and ongoing SEO alignment, despite the limitations of AI in handling subjective 'taste'.

工作流

• Define the purpose and fit of a new page or feature before asking AI to build it.
• Use AI to generate code (e.g., Three.js effects) and content, but iterate based on subjective taste rather than just technical correctness.
• Shift from one-off tasks to iterative loops that include review and failure analysis.
• Automate repeated judgments into rules or tools where possible.
• Treat SEO as an ongoing process of aligning page purpose, content, and site structure, rather than a final checklist.
• Maintain human oversight for aesthetic decisions ('taste') that cannot be easily automated.

证据

The current dataset now contains 4,184 unique page records.

来源

I stopped treating it as a final writing step or a collection of isolated tactics. On Huebloom, SEO became an ongoing way of keeping the purpose of each page, the content, and the real site structure aligned.

来源

I gradually moved from tasks to loops. A task ends when the output exists. A loop includes the review, the failure, and what changes before the next attempt.

来源