> For the complete documentation index, see [llms.txt](https://docs.atomyx.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.atomyx.io/atomyx-submit/implementation/submission-workflow/visualize-errors.md). # Visualize Errors Rather than relying only on technical error messages, the portal can help customers see where the problems are and what they mean. ### What visual error handling can show Depending on the implementation, the portal can highlight: * low-resolution areas * dimension mismatches * missing or problematic fonts * colour-related issues * other preflight findings tied to the uploaded artwork This helps turn preflight from a technical report into a clearer customer experience. ### Why this matters Many customers do not know how to interpret production-oriented PDF or preflight language. Visual error handling helps by: * reducing confusion * making issues more actionable * lowering support dependency * helping customers correct problems earlier in the workflow ### Where this sits in the process Visualized issues usually appear after upload and during review, before the customer completes submission. At this stage, the customer can decide whether to: * continue as-is, depending on your rules * make simple adjustments * replace the file * leave the issue for internal review, where allowed ### Best practice Keep customer-facing messages clear and practical. Explain what is wrong, why it matters, and what the customer should do next. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.atomyx.io/atomyx-submit/implementation/submission-workflow/visualize-errors.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.