A shared folder with AI prompts and code snippets
From workspace: Replit
Team: AI Prompts
Total snippets: 9
9 snippets
Prepare and deploy the fullstack journaling app using Replit.
Guide for deploying to Replit: – Use Python + Node template – Set up `.env` with OpenAI key – Ensure Flask and React start properly – Use fetch with full paths or proxy – Test: Can user submit entry and see AI analysis?
Store past entries and feedback in localStorage for reflection.
Save each journal entry + mood + affirmations to localStorage. Show a sidebar list of past dates. When clicked, show full analysis again.
Display AI mood analysis and affirmations in the frontend.
After successful submission: – Show mood analysis – List emotional themes – Show AI-generated affirmations Use clean card layout and allow user to close feedback.
Use AI to generate daily affirmations based on journal themes.
Add OpenAI logic to return 2–3 affirmations based on journal tone/themes. Prompt format: "Generate 3 personalized affirmations for someone who feels {mood} about {themes}." Return as array of strings in JSON.
Use OpenAI API to analyze mood, tone, and themes of journal entry.
Extend the Flask endpoint to: – Use OpenAI's Chat API – Prompt: “Analyze this journal entry. Return mood, tone, and emotional themes.” – Return JSON like: { "mood": "Anxious but hopeful", "themes": ["uncertainty", "self-reflection", "growth"] }
Connect React form to Flask backend and send entry text.
Send journal entry to Flask `/entry` endpoint. Requirements: – Use Axios or Fetch with JSON body – Show 'sending' state – Confirm with success message after submission
Build a Flask API to receive and store journal text for AI processing.
Create a Flask endpoint `/entry` that: – Accepts POST requests – Receives `entry_text` from JSON body – Logs it or saves to a temporary variable for now – Returns success JSON response Enable CORS for localhost:3000.
Create a React form for users to input daily journal entries.
Create a journal entry component in React. Features: – Textarea input with 500+ character limit – Submit button – Shows word count as user types Do not connect backend yet.
Create folder layout for React + Flask app for journaling and AI feedback.
Create a project directory with: /mental-journal /frontend – React app /backend – Flask API Add README with: "Mental Health Journal app that lets users write journal entries and receive AI-powered reflections and affirmations."