By adding intelligence to WordPress forms, this project utilizes large-language-model analysis to summarize and interpret submissions.
Instead of sifting through long entries, site owners get clear, actionable insights at a glance.
Automating feedback review, support triage, and survey analysis helps organizations save time and focus on what matters most.
Overview
Form submissions often contain long, unstructured text. Reading each entry manually can be time-consuming, especially when dealing with customer feedback, support requests, or surveys. This project brings intelligent automation to the process by applying large-language-model analysis directly inside WordPress.
Key Features
- AI-powered entry analysis — Submissions are analyzed, with results stored in entry meta.
- Markdown reports — Clean, readable output that can be viewed in a dedicated analysis tab and easily printed as a PDF.
- Field-level control — Choose which form fields are included in the analysis to reduce noise and cost.
- Custom prompts — Define global or per-form instructions so the AI delivers summaries, sentiment checks, or action items tailored to your needs.
- Admin tools — Logs, error handling, manual re-analysis, deletion with audit trail, and secure API key storage.
Use Cases
- Summarizing customer feedback
- Flagging urgent support requests
- Extracting themes from survey responses
- Streamlining job application reviews
This project adds an intelligent layer of automation to WordPress forms. Organizations save time reviewing entries, reduce operational overhead, and gain actionable insights from the data they are already collecting.