Depressed AI - Help Center

Your AI study companion made simple

Welcome to your family-friendly AI chat platform. Get help with homework, research, and learning in a safe, supportive environment.

Get Started

Quick Start Guide

1

Start a Chat

Click "New Chat" to begin a conversation with your AI study companion.

2

Ask Your Question

Start with your homework question, research topic, or concept you need help with.

3

Save & Share

Save important conversations and share study notes with family members.

Use on Mobile

Add to Home Screen

📱 iOS (Safari)

Open this website in Safari browser
Tap the Share button (square with arrow up)
Scroll down and tap "Add to Home Screen"
Customize the name if desired, then tap "Add"

iOS Safari share menu

🤖 Android (Chrome)

Open this website in Chrome browser
Tap the menu button (three dots)
Select "Add to Home screen"
Confirm the name and tap "Add"

Android Chrome menu

App Benefits

Add to Home Screen Benefits

📱

Quick Access

Launch directly from your home screen like a native app

🖥️

Full-Screen Experience

No browser bars or navigation clutter

⚡

Faster Loading

Optimized performance with offline support

🧭

Native Navigation

Smooth app-like transitions and gestures

Choosing AI Models

How to Select Your AI Model

🎯 Step-by-Step Guide

1.
Click the Model Button: Look for the dropdown button in the top-left corner of the chat interface - it typically shows the name of your currently selected model.
2.
Browse Available Models: You'll see a list of different AI models, each with their own strengths and capabilities.
3.
Choose Free Models: Look for models that are marked as "Free" or have no cost indicators. These are perfect for students and families getting started.
4.
Select Your Model: Click on your chosen model to switch to it. Your new chats will now use this model.

Screenshot: Model selection dropdown interface

Model selection dropdown interface showing available AI models

Recommended Free Models

🤖 GPT Models (OpenAI)

GPT-4o mini

Fast and efficient for most homework help and basic explanations.

Best for: Quick answers, grammar help, simple math problems

GPT-4o

More capable model for detailed explanations and complex questions.

Best for: Research help, detailed explanations, creative writing

🧠 Claude Models (Anthropic)

Claude Haiku

Lightning-fast responses for straightforward questions.

Best for: Quick definitions, basic calculations, simple explanations

Claude Sonnet

Balanced performance for most academic tasks.

Best for: Essay help, analysis, moderate complexity problems

💎 Gemini Models (Google)

Gemini Flash

Great for students needing quick, accurate responses.

Best for: Homework help, fact-checking, general questions

💡 Smart Model Selection Tips

⚡ Speed vs Quality

Faster models give quicker responses but may be less detailed.

• Use fast models for quick questions
• Choose slower models for complex problems
• Switch models based on your needs

🎯 Task-Specific Selection

Different models excel at different types of tasks.

• GPT models: Creative writing, general knowledge
• Claude models: Analysis, detailed explanations
• Gemini models: Fact-checking, research

💰 Cost Awareness

Free models are perfect for students and everyday use.

• Start with free models
• Check if premium features are needed
• Most homework help works great with free models

Essential Features

Web Search Integration

Access up-to-date information and current research to supplement your AI conversations with real-time data.

• Get current facts and recent developments
• Access reliable sources for research projects
• Combine AI insights with verified information

Session Management

Organize your study sessions and keep track of different subjects and topics.

• Create separate chats for different subjects
• Use descriptive titles for easy reference
• Archive completed assignments

Export & Share

Save your conversations and share study materials with family members or study groups.

• Export conversations as PDF or text
• Share study notes with parents or tutors
• Create study guides from chat history

Voice Input

Use voice commands to interact naturally with your AI study companion.

• Practice pronunciation for language learning
• Dictate long questions or essays
• Hands-free studying while taking notes

Artifacts: Generate React, HTML & Diagrams Instantly

Create interactive React components, HTML code, and Mermaid diagrams with AI-powered generative UI capabilities.

• Instant Prototyping: Generate websites and UIs with generative AI
• Interactive Learning: Create dynamic, responsive layouts for educational projects
• Visual Diagrams: Complex idea visualization using Mermaid diagrams
• Flexible Integration: Use any AI model you have set up
• Iterative Design: Rapidly improve and refine generated outputs

MCP Integration

Connect to external tools and services through Model Context Protocol for enhanced functionality.

• Fetch Server: Retrieve web content and convert it to markdown for research
• Context7: Access up-to-date documentation for libraries and frameworks
• Access specialized databases and APIs
• Integrate with educational platforms and tools
• Extend AI capabilities with custom functions

Understanding AI & LLMs

Artificial Intelligence (AI) is like giving computers the ability to learn and make decisions, similar to how humans learn from experience. Instead of following a simple set of instructions, AI systems can recognize patterns in information and use those patterns to help solve problems or answer questions.

Think of AI as a very advanced pattern-recognition system. Just like how you might recognize your favorite song after hearing just a few notes, AI can recognize patterns in text, images, or data to provide helpful responses.

Examples in Daily Life:

• Voice Assistants: Siri or Alexa recognizing your voice and understanding what you're asking
• Recommendations: Netflix suggesting movies you might like based on what you've watched before
• Maps: GPS finding the best route by learning from traffic patterns
• Photos: Your phone automatically organizing pictures by recognizing faces

Connection to Your Study Companion: Your AI study companion uses these same pattern-recognition abilities to help with homework and learning. It has learned from millions of books, articles, and educational materials to recognize how to explain concepts and help with different subjects.

Large Language Models (LLMs) are a special type of AI that focuses specifically on understanding and generating text. Think of them as having read millions of books, articles, and websites, and learning the patterns of how language works.

Why are they called "Large Language Models"?

Large: They're trained on enormous amounts of text (like having a library of millions of books) and have billions of parameters (like having billions of tiny decision-makers working together)

Language: They work with words, sentences, and text

Model: They create a mathematical representation of how language works

Simple Analogy:

Imagine you had a study buddy who had read every textbook, encyclopedia, and educational website in the world, and could remember patterns about how information is typically explained. That's similar to how an LLM works - it uses patterns from all that text to help generate helpful responses.

How They Learn:

Reading massive amounts of text
Learning what words typically come after other words
Understanding how concepts are usually explained
Practicing predicting what comes next in sentences

🧠 The Big Truth: AI Doesn't Actually "Think"

This is one of the most important things to understand: AI doesn't think, reason, or understand things the way humans do. Even though it might seem very smart, AI is actually doing something much more like very advanced pattern matching.

👤 Human Reasoning:

• We can truly understand concepts
• We can think creatively about new situations
• We can change our minds based on new evidence
• We have consciousness and awareness

🤖 AI Pattern Matching:

• Recognizes patterns from training data
• Predicts likely responses based on patterns
• Generates text that statistically fits the pattern
• No consciousness, awareness, or true understanding

💡 A Helpful Analogy:

Think of AI like a very sophisticated autocomplete system: When you type "The capital of France is..." your phone might suggest "Paris" - not because your phone knows geography, but because it has seen that pattern millions of times. AI works similarly but on a much more complex scale with entire conversations.

🎯 Why This Matters:

Understanding this helps you not expect AI to be perfect or truly "understand" everything, know that AI responses are based on patterns (not true knowledge), remember to double-check important information, and use AI as a helpful tool, not as an authority.

✅ What AI IS Good At:

Pattern Recognition: Finding similarities between different pieces of information

Text Generation: Writing explanations in clear, understandable language

Following Instructions: Understanding what you're asking for and providing helpful responses

Processing Information: Working with lots of information quickly

❌ What AI CANNOT Do:

True Understanding: AI doesn't actually "get" concepts the way humans do

Independent Thinking: Can't come up with truly original ideas

Perfect Accuracy: Sometimes makes mistakes or "hallucinates" information

Learning from Conversation: Can't remember you between different chat sessions

⚠️ Why AI Makes Mistakes:

• Pattern Confusion: Might mix up similar patterns from training
• Missing Information: Might not know about very recent events
• Overconfident Predictions: Might present uncertain information as definitely true
• Context Misunderstanding: Might misunderstand what you're really asking

🎯 The Bottom Line:

AI is an incredibly powerful tool for learning and getting help, but it's important to always double-check important information, use your own judgment and critical thinking, remember that AI is a helper (not a replacement for human understanding), and ask teachers, parents, or other trusted sources when you need to verify something important.

🤖 Different Types of AI Models

Not all AI models are the same! Different models are designed for different types of tasks, and understanding these differences can help you choose the right one for your needs.

⚡ Non-Reasoning Models (Fast & Efficient):

These models focus on pattern recognition and quick responses based on their training data.

Best for: Quick answers, simple explanations, basic grammar help

Speed: Very fast responses (usually under 5 seconds)

Examples: GPT-4.1, GPT-4o, gemini-2.5-flash

🧠 Reasoning Models (Deep & Thoughtful):

These models can think through problems step-by-step, analyze complex situations, and work through multi-step logic.

Best for: Complex math problems, detailed analysis, critical thinking tasks

Speed: Slower responses (can take 30+ seconds for complex problems)

Examples: o3, Claude Sonnet 4, Claude Opus 4, Deepseek R1

🎯 When to Use Each Type

⚡ Use Non-Reasoning Models When:

• You need quick answers to simple questions
• Asking for basic definitions or explanations
• Getting help with grammar or spelling
• Generating creative writing ideas
• Brainstorming or getting inspiration
• Simple conversational practice

🧠 Use Reasoning Models When:

• Solving complex math or science problems
• Analyzing literature or historical events
• Working through logical puzzles
• Planning multi-step projects
• Critical thinking assignments
• Debugging code or technical problems

⏰ Speed vs. Depth Trade-off

Understanding the trade-off between speed and depth helps you choose the right model for your situation.

🏃 Fast Models (Non-Reasoning):

• Respond in seconds
• Great for quick homework help
• Perfect when you need instant feedback
• Good for multiple quick questions

🐢 Slow Models (Reasoning):

• Take time to "think" through problems
• Show their work step-by-step
• Better at catching their own mistakes
• Worth the wait for complex problems

💡 Smart Model Selection Tips:

• Start Fast: Try a non-reasoning model first for quick answers
• Go Deep: Switch to reasoning models for complex problems
• Time Management: Use fast models when you're in a hurry
• Quality Check: Use reasoning models to double-check important work
• Learn Both: Practice with both types to understand their strengths

🔢 Understanding Tokens

Tokens are like the "words" that AI uses to understand and generate text. Think of them as pieces of text that the AI processes - they can be whole words, parts of words, or even punctuation marks.

📝 Input Tokens (Context):

These are the tokens from your conversation history and current question that the AI reads to understand what you're asking.

Example: "Help me with math homework" = about 6 tokens

💬 Output Tokens:

These are the tokens the AI generates when writing its response to you.

Example: A paragraph response = about 100-200 tokens

🧠 Context Window:

The total number of tokens (input + output) that the AI can "remember" at once in your conversation. When you hit this limit, the AI might "forget" earlier parts of your chat.

🌡️ Temperature Setting

Temperature controls how "creative" or "predictable" the AI's responses are. It's like adjusting the AI's personality!

❄️ Low Temperature (0.1-0.3):

• More predictable and consistent responses
• Better for factual questions and math problems
• Less creative but more reliable
• Good for homework help and studying

🔥 High Temperature (0.7-1.0):

• More creative and varied responses
• Better for brainstorming and creative writing
• More unexpected but potentially less accurate
• Good for story ideas and creative projects

💡 Why This Matters for Students:

• For Math/Science: Lower temperature gives more consistent, accurate answers
• For Creative Writing: Higher temperature helps generate more interesting ideas
• Token Limits: If the AI "forgets" earlier conversation, try starting a new chat
• Long Responses: If you need detailed explanations, ask for them in parts

🛠️ What are AI Tools?

AI tools give your chat companion extra abilities beyond just text conversations. Think of them as "superpowers" that let the AI help you in more powerful ways.

🎯 Why Tools Matter:

Instead of just guessing or using old information, AI with tools can look up current facts, search the web, access up-to-date documentation, and perform real actions to give you better, more accurate help.

🌐 Common AI Tools for Students

🔍 Web Search:

AI can search the internet for current information, recent news, and up-to-date facts.

Example: "What's the latest research on climate change in 2025?"

📚 Documentation Access:

AI can access current documentation for programming languages, libraries, and frameworks.

Example: Getting the latest Python tutorial or JavaScript documentation

📊 Calculator & Data Tools:

AI can perform precise calculations, work with data, and create visualizations.

Example: Solving complex math problems step-by-step with exact answers

🔗 MCP (Model Context Protocol)

MCP is like a universal connector that lets AI chat with different apps and services, expanding what it can do for you.

🌟 What MCP Does:

• Connects AI to external tools and databases
• Lets AI access specialized knowledge sources
• Enables real-time information gathering
• Allows AI to perform specific actions

📖 Student Examples:

• Research: Access academic databases and journals
• Coding: Get current library documentation and examples
• Science: Look up current scientific data and discoveries
• Languages: Access up-to-date translation and pronunciation guides

⚡ How to Know if AI Has Tools

🔍 Look for these signs:

• AI mentions "searching" or "looking up" information
• Responses include very recent or current information
• AI can perform calculations or access specific databases
• You see mentions of "tools" or "plugins" in the interface

💡 Without tools, AI:

• Uses only training data (information it learned before)
• Can't access current events or recent information
• Might have outdated facts or examples
• Cannot perform real-time searches or calculations

🎯 Why This Matters for Your Studies:

Understanding whether your AI has tools helps you know what to expect and how to ask better questions.

• With tools: Ask for current information and real-time research
• Without tools: Focus on explanations, concepts, and general knowledge
• Always verify: Double-check important information from reliable sources
• Use wisely: Tools make AI more powerful, but you still need to think critically

Study-Specific Tips

Getting Started:

Begin with exploratory questions to understand your topic broadly, then progressively narrow your focus.

Example prompts:

• "What are the main causes of climate change and which should I focus on for a 5-page essay?"
• "Help me narrow down my topic from 'World War II' to something manageable for a research paper"

Source Development:

Ask for guidance on finding reliable, academic sources and evaluating credibility.

Example prompts:

• "What types of sources should I look for when researching renewable energy policies?"
• "How can I tell if a website about nutrition science is reliable for my health class essay?"

Structure & Arguments:

Get help crafting strong thesis statements, organizing arguments, and developing compelling evidence.

Example prompts:

• "Help me turn this topic into a strong thesis: 'Social media affects teenagers'"
• "I have these three main points about recycling. How should I organize them logically?"
• "Is this evidence strong enough to support my argument about school start times?"

Problem-Solving Approach:

Always share what you've attempted first - this helps the AI understand where you're stuck and provide targeted help.

Example prompts:

• "I'm solving 2x + 5 = 13. I subtracted 5 from both sides and got 2x = 8, but I'm not sure what to do next."
• "This word problem asks about compound interest. I identified P=$1000, r=5%, but I don't know which formula to use."

Understanding Concepts:

When stuck, ask for explanations of the underlying mathematical concepts rather than just the answer.

Example prompts:

• "I don't understand when to use the quadratic formula vs. factoring. Can you explain the difference?"
• "Why do we flip the inequality sign when dividing by a negative number? Can you show me with an example?"
• "I'm confused about the difference between permutations and combinations in probability."

Practice & Mastery:

Request similar problems to practice the same concept, or ask for alternative solution methods to deepen understanding.

Example prompts:

• "Can you create 3 more problems like this one for me to practice?"
• "I solved this using substitution. Is there a different method I could try?"
• "Can you walk me through this step-by-step, explaining the reasoning behind each step?"

Conversation Practice:

Engage in realistic conversations to build confidence and fluency in context-specific situations.

Example prompts:

• "Let's practice ordering food in a Spanish restaurant. You be the waiter, I'll be the customer."
• "I need to practice asking for directions in French. Can you create a scenario in Paris?"
• "Help me practice a job interview conversation in German for a summer internship."

Grammar & Structure:

Get clear explanations of grammar rules with practical examples you can immediately use.

Example prompts:

• "I'm confused about when to use 'ser' vs 'estar' in Spanish. Can you explain with 10 examples?"
• "How do I use the subjunctive mood in French? Give me examples in different situations."
• "I keep making mistakes with German cases. Can you create a simple exercise for me?"

Writing & Pronunciation:

Improve your writing skills and pronunciation with personalized feedback and guidance.

Example prompts:

• "I wrote this paragraph in Italian about my family. Can you check it and suggest improvements?"
• "How do I pronounce these 10 difficult French words? Can you break them down phonetically?"
• "Help me write a formal email in Japanese to thank my host family."

Study Planning & Organization:

Create structured study plans tailored to your exam timeline and learning style.

Example prompts:

• "I have a chemistry exam in 2 weeks covering chapters 5-8. Can you help me create a daily study schedule?"
• "I'm studying for SATs and have 3 months. Help me prioritize math, reading, and writing prep."
• "I learn better with visuals and practice. What study methods work best for biology exams?"

Active Testing & Practice:

Generate practice questions and quizzes that simulate your actual exam conditions.

Example prompts:

• "Create 10 multiple-choice questions about the American Civil War for my history exam."
• "Make a practice quiz on photosynthesis with both easy and challenging questions."
• "I need practice problems for calculus derivatives - can you create 5 with different difficulty levels?"

Memory & Retention Techniques:

Learn proven memory techniques and create personalized mnemonics for difficult concepts.

Example prompts:

• "Help me create mnemonics to remember the order of planets in our solar system."
• "I can't remember these 15 Spanish vocabulary words. What's the best way to memorize them?"
• "Create a memory palace technique to help me remember the periodic table elements."

Your AI study companion made simple

Quick Start Guide

Start a Chat

Ask Your Question

Save & Share

Use on Mobile

Add to Home Screen

📱 iOS (Safari)

🤖 Android (Chrome)

App Benefits

Add to Home Screen Benefits

Quick Access

Full-Screen Experience

Faster Loading

Native Navigation

Choosing AI Models

How to Select Your AI Model

🎯 Step-by-Step Guide

Recommended Free Models

🤖 GPT Models (OpenAI)

GPT-4o mini

GPT-4o

🧠 Claude Models (Anthropic)

Claude Haiku

Claude Sonnet

💎 Gemini Models (Google)

Gemini Flash

💡 Smart Model Selection Tips

⚡ Speed vs Quality

🎯 Task-Specific Selection

💰 Cost Awareness

Essential Features

Web Search Integration

Session Management

Export & Share

Voice Input

Artifacts: Generate React, HTML & Diagrams Instantly

MCP Integration

Understanding AI & LLMs

What is Artificial Intelligence (AI)?

Examples in Daily Life:

Understanding Large Language Models (LLMs)

Why are they called "Large Language Models"?

Simple Analogy:

How They Learn:

AI Reasoning vs. Pattern Matching

🧠 The Big Truth: AI Doesn't Actually "Think"

👤 Human Reasoning:

🤖 AI Pattern Matching:

💡 A Helpful Analogy:

🎯 Why This Matters:

What AI Can and Cannot Do

✅ What AI IS Good At:

❌ What AI CANNOT Do:

⚠️ Why AI Makes Mistakes:

🎯 The Bottom Line:

Choosing AI Models

🤖 Different Types of AI Models

⚡ Non-Reasoning Models (Fast & Efficient):

🧠 Reasoning Models (Deep & Thoughtful):

🎯 When to Use Each Type

⚡ Use Non-Reasoning Models When:

🧠 Use Reasoning Models When:

⏰ Speed vs. Depth Trade-off

🏃 Fast Models (Non-Reasoning):

🐢 Slow Models (Reasoning):

💡 Smart Model Selection Tips:

AI Parameters and Settings

🔢 Understanding Tokens

📝 Input Tokens (Context):

💬 Output Tokens:

🧠 Context Window:

🌡️ Temperature Setting

❄️ Low Temperature (0.1-0.3):

🔥 High Temperature (0.7-1.0):

💡 Why This Matters for Students:

AI Tools and Extensions

🛠️ What are AI Tools?

🎯 Why Tools Matter:

🌐 Common AI Tools for Students