| nl: | |
| formtastic: | |
| :yes: 'Ja' | |
| :no: 'Nee' | |
| :create: 'Maak %{model} aan' | |
| :update: 'Wijzig %{model}' | |
| :submit: 'Voeg %{model} toe' | |
| :required: 'verplicht' |
| AF|Afghanistan | |
| AL|Albania | |
| DZ|Algeria | |
| AS|American Samoa | |
| AD|Andorra | |
| AO|Angola | |
| AI|Anguilla | |
| AQ|Antarctica | |
| AG|Antigua And Barbuda | |
| AR|Argentina |
| AL|Alabama | |
| AK|Alaska | |
| AZ|Arizona | |
| AR|Arkansas | |
| CA|California | |
| CO|Colorado | |
| CT|Connecticut | |
| DE|Delaware | |
| DC|District Of Columbia | |
| FL|Florida |
| # The ChatGptService class provides an easy way to integrate with the OpenAI ChatGPT API. | |
| # It allows you to send and receive messages in a conversation thread, and reset the thread | |
| # if necessary. | |
| # | |
| # Example usage: | |
| # chat_gpt_service = ChatGptService.new(BEARER_TOKEN) | |
| # response = chat_gpt_service.chat("Hello, how are you?") | |
| # puts response | |
| # # => {"message"=> | |
| # # {"id"=>"8e78691a-1fde-4bd5-ad68-46b23ea65d8f", |
| Whipped Cream Tres Leches Cake | |
| Servings: 15 | |
| Difficulty: Moderate | |
| Active Time: 1 hour 15 minutes | |
| Total Time: 6 hours 15 minutes (includes 3 hours for chilling) | |
| Special Equipment: 13 x 9-inch pan (preferably metal but not nonstick), hand mixer | |
| Ingredients: |
| # config/initializers/active_storage_from_url.rb | |
| # frozen_string_literal: true | |
| require "open-uri" | |
| require "securerandom" | |
| require "marcel" | |
| # This initializer extends Active Storage attachments to support attaching files directly from a remote URL. | |
| # | |
| # Example Usage: |
DraftKit transforms any HTML form into an AI-powered content generator with just a few data attributes. No complex setup, no API integration headaches - just add our script and watch your forms come alive with intelligent content generation.
Imagine your users filling out a product form. They enter a product name and category, then click "Generate Description" - and boom! A compelling, context-aware product description appears instantly. That's DraftKit.
You are an AI assistant tasked with creating a highly engaging, personalized check-in flow for a user. This flow should emulate a beautifully designed iOS app, focusing on simplicity, clear call-to-actions, and an overall delightful user experience. Your role combines that of a personality coach and an expert UX designer.
Here's the theme for today's check-in: {{THEME}}
And here's the context we have about the user: <user_context> {{USER_CONTEXT}}
You are an AI assistant helping with the Featurebase post triaging process. Your task is to analyze in-review posts, summarize the issue or request, present options for action, and prepare a brief response based on the decision made. Follow these instructions carefully:
First, review the post data from featurebase-mcp, get the last 20 posts with status "In Review" Like featurebase:list_posts (MCP)(limit: 20, select: "id,title,content,postStatus(name),inReview,date", sortBy: "date:desc")
Next, go one post at a time, create a todo list with all 50 posts to keep track of the triage process.
For each post, provide: