Abstract
Today’s network controllers produce validation errors that tell users what went wrong, but not where or how to fix it. The real problem is that the misconfiguration often exists in a completely different page or workflow. Techniques described herein solve this problem. In particular, when validation fails, the error and the user interface’s semantic structure are sent to a Model-Context-Protocol (MCP)-based artificial intelligence (AI) service. The AI reasons over the form, understands the intent of each control, and returns annotated HTML code that visually highlights the exact user interface (UI) element causing the issue. Instead of guessing or searching documentation, users see precisely what to fix - directly in the UI.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Nagarajan, Praveen; Chunekar, Leena Shrirang; Magar, Amey Dattatray; Srikonda, Hari Kishan; and Arora, Rohan, "INTELLIGENT USER INTERFACE GUIDANCE USING MODEL CONTEXT GENERATED ANNOTATIONS", Technical Disclosure Commons, (May 27, 2026)
https://www.tdcommons.org/dpubs_series/10259