Nerdy Posts

Nerdy Posts brings AI-powered content interaction to your WordPress site. It connects your posts to ChatGPT, giving visitors the ability to get AI-generated summaries and chat with your content — organized by post category.

What it does

• Generates AI-powered summaries of your posts
• Lets visitors interact with and ask questions about your content through a slide-in chat panel
• Organizes AI features around your existing post categories
• Caches summaries so the AI service is only called once per post, keeping costs down and performance up

Built for the real world

• The chat interface loads as a modal or slide-in panel — not in the bottom-right corner where it would conflict with live chat widgets and other plugins
• Strong CSS scoping designed to hold up across themes
• Built on an extensible architecture so additional AI services can be added without rewriting the core plugin
• Follows WordPress coding standards and best practices

Getting started

1. Install and activate the plugin
2. Enter your ChatGPT API key in the settings
3. Choose which post categories to enable
4. Your visitors can now get summaries and chat with your content

An OpenAI API key is required. API usage costs are determined by your OpenAI plan.

External Services

This plugin connects to the OpenAI API to generate AI-powered post summaries and to respond to visitor chat messages.

What is sent and when:

• When a visitor clicks the “Summary” button, the post title and content are sent to OpenAI to generate a summary. The result is cached in post meta so the API is only called once per post.
• When a visitor sends a chat message, the post content, their message, and the recent conversation history (up to 6 messages) are sent to OpenAI.

No data is transmitted on page load. All API calls are initiated by explicit visitor action.

Service provider: OpenAI, L.L.C.

• Terms of use
• Privacy policy

Third-Party Libraries

This plugin bundles MicroModal (v0.4.2), a lightweight accessible modal library.

• License: MIT
• Source: https://github.com/ghosh/Micromodal