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ChatGPT for Medium (1)

MediumGPT

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This article is all about how to create a ChatGPT plugin, making your content accessible and up-to-date through AI technology.

The Medium Engineering article titled "Building a ChatGPT Plugin" takes a deep dive into the exciting world of ChatGPT plugins. Recently, OpenAI introduced these plugins to enhance ChatGPT’s capabilities by allowing it to access real-time information from the internet. Before this, ChatGPT was limited to knowledge from 2021 and had restricted internet access. Now, with plugins, platforms like Medium can make their content available to ChatGPT, changing the game for users.

Here’s how it works: When users interact with ChatGPT, the combination of their prompts and the installed plugins guides ChatGPT to the right API and retrieves the desired content. Currently, this plugin support is in a private alpha phase, and Medium has been given access to experiment with how their content can be seamlessly integrated into ChatGPT's responses.

The article also provides a step-by-step guide on crafting a ChatGPT plugin. It starts with the ai-plugin.json file, which contains essential details that help ChatGPT recognize your domain’s plugin capability. This file also provides users with descriptions, icons, and links when they choose to install your plugin.

Additionally, it covers the OpenAPI YAML file, which outlines the API schema that ChatGPT needs to understand how to interact with your content. For those familiar with programming, you can even use the Go language to create the MediumGPT service that transforms fixed GraphQL queries into functional REST APIs. Overall, the article is packed with technical insights on building a ChatGPT plugin and illustrates how this innovative process works.

Pros and Cons

Pros

  • Supports automatic content retrieval
  • Individual post content retrieval
  • OpenAPI YAML for layout
  • Allows for detailed technical exploration
  • Lets debugging happen directly on ChatGPT
  • Lets users search posts with specific queries
  • Understands complex descriptions
  • Provides results as simple
  • Retrieves relevant summaries of posts
  • Enables natural language queries
  • Fixes problems with internet access
  • Supports linked API calls
  • clear JSON results
  • Provides explanations of schema objects
  • Can handle complex queries
  • Can manipulate queries
  • Retrieves content from Medium
  • Lets content be shared with ChatGPT
  • Alpha access
  • Fetches post content
  • Ability to share APIs
  • Plugin debugging through ChatGPT interface
  • Allows technical showcases
  • paywall status)
  • Works with both logged-in and guest users
  • Can change GraphQL queries to REST APIs
  • Knows API details
  • Gives immediate debugging feedback
  • Ability to link queries
  • Accesses current content
  • Follows OpenAPI rules
  • Ensures answers are context-aware
  • Manages plugins in private alpha
  • Retrieves related posts to a topic
  • Triggers the right API for content
  • Enables automatic response generation
  • Supports creating middleware services
  • Responds to user prompts
  • Supports plugins
  • Supports Go programming language
  • Supports specific platform plugins
  • Allows complex and useful queries
  • Offers browsing and manipulation for Medium content
  • Proof of concept available
  • Searches posts using specific queries
  • Allows browsing and manipulation
  • Recognizes trending posts
  • Allows checking post conditions (e.g.
  • Allows changes to API descriptions

Cons

  • Complexity in chaining APIs
  • Cannot directly connect to GraphQL API
  • Possible confusion with many plugins
  • Relies on clear schemas
  • Limited plugin options
  • API access relies on user prompts
  • Issues with content retrieval
  • Needs domain support
  • In private alpha
  • Few supported programming languages (Go)

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