Standard Mode

Standard mode is the default DrGPT mode for general AI assistance, questions, explanations, and discussions. It provides rich, detailed responses with beautiful markdown formatting.

Overview

Standard mode is designed for:

  • General questions and explanations

  • Learning and research

  • Problem-solving discussions

  • Text analysis and writing assistance

  • Conversational AI interaction

When you run DrGPT without any special flags, you’re using standard mode.

Basic Usage

# Basic query
drgpt "What is machine learning?"

# Complex question
drgpt "Explain the differences between React and Vue.js frameworks"

# Problem-solving
drgpt "How do I optimize database queries for large datasets?"

Features

Rich Markdown Output

Standard mode provides beautifully formatted responses with:

  • Headers and subheaders for organization

  • Code blocks with syntax highlighting

  • Lists and bullet points for clarity

  • Tables for structured data

  • Links and references when relevant

Example output:

drgpt "Explain Python data types"

# Python Data Types

Python provides several built-in data types:

## Numeric Types

* **int**: Integer numbers (e.g., 42, -17)
* **float**: Decimal numbers (e.g., 3.14, -2.5)
* **complex**: Complex numbers (e.g., 1+2j)

## Sequence Types

* **str**: Text strings
* **list**: Ordered, mutable collections
* **tuple**: Ordered, immutable collections

## Example Code

```python
# Creating different data types
number = 42          # int
price = 19.99        # float
name = "Alice"       # str
items = [1, 2, 3]    # list
coordinates = (10, 20)  # tuple
```

Streaming Responses

By default, standard mode streams responses in real-time:

drgpt "Write a detailed explanation of quantum computing"

You’ll see the response appear progressively as it’s generated, followed by a formatted preview.

Disable streaming for immediate formatted output:

drgpt --no-streaming "Your question"

Provider Selection

Choose specific AI providers for different strengths:

# OpenAI GPT-4 for general intelligence
drgpt --provider openai --model gpt-4 "Complex reasoning task"

# Anthropic Claude for thoughtful analysis
drgpt --provider anthropic "Analyze this philosophical argument"

# Google Gemini for factual information
drgpt --provider google "Latest information about space exploration"

Advanced Options

Custom Parameters

Fine-tune response characteristics:

# Shorter, more focused responses
drgpt --max-tokens 500 "Brief summary of blockchain technology"

# More creative responses
drgpt --temperature 0.9 "Write a creative story about time travel"

# More factual, consistent responses
drgpt --temperature 0.1 "Explain the scientific method"

Output Control

Control how responses are displayed:

# Save response to file
drgpt --output analysis.md "Analyze current AI trends"

# Plain text output (no formatting)
drgpt --no-markdown "Simple explanation without formatting"

# Debug mode (show request details)
drgpt --debug "Your question"

Use Cases

Learning and Education

# Concept explanations
drgpt "Explain the concept of inheritance in object-oriented programming"

# Historical information
drgpt "What were the main causes of World War I?"

# Scientific concepts
drgpt "How does photosynthesis work at the molecular level?"

Research and Analysis

# Technology comparisons
drgpt "Compare NoSQL vs SQL databases for web applications"

# Market analysis
drgpt "What are the current trends in renewable energy technology?"

# Literature analysis
drgpt "Analyze the themes in George Orwell's 1984"

Problem Solving

# Technical problems
drgpt "My React app is rendering slowly. What could be the causes?"

# Business problems
drgpt "How can a small business improve customer retention?"

# Personal problems
drgpt "What are effective time management strategies for students?"

Writing Assistance

# Content improvement
drgpt "Improve this email: [your email text]"

# Writing guidance
drgpt "How do I write an effective research proposal?"

# Creative writing
drgpt "Help me develop a character for my novel"

Best Practices

Effective Prompting

For best results in standard mode:

  1. Be specific: “Explain async/await in JavaScript” vs “Explain JavaScript”

  2. Provide context: “As a beginner programmer, explain…”

  3. Ask follow-up questions: Build on previous responses

  4. Use examples: “Show me an example of…”

# Good prompt
drgpt "As a web developer, explain how to implement JWT authentication in a Node.js API with practical examples"

# Less effective prompt
drgpt "Explain JWT"

Managing Long Responses

For complex topics requiring detailed responses:

# Request structured output
drgpt "Explain machine learning algorithms with the following structure: 1) Definition 2) Types 3) Use cases 4) Examples"

# Break into parts
drgpt "Explain supervised learning algorithms in machine learning"
drgpt "Now explain unsupervised learning algorithms"

Combining with Other Modes

Use standard mode in combination with other DrGPT modes:

# Standard mode for explanation
drgpt "Explain how to sort a list in Python"

# Then code mode for implementation
drgpt --code "Create a Python function that sorts a list using quicksort"

# Then shell mode for testing
drgpt --shell "Run Python unit tests"

Output Examples

Here are examples of typical standard mode output:

Question: “What is Docker?”

Response Structure:

# Docker: Containerization Platform

Docker is a containerization platform that allows developers to package applications
and their dependencies into lightweight, portable containers.

## Key Concepts

* **Containers**: Lightweight, standalone packages containing everything needed to run an application
* **Images**: Read-only templates used to create containers
* **Dockerfile**: Text file with instructions to build Docker images

## Benefits

* **Consistency**: "Works on my machine" problem solved
* **Portability**: Run anywhere Docker is installed
* **Efficiency**: Share OS kernel, use fewer resources than VMs

## Common Commands

```bash
# Build an image
docker build -t myapp .

# Run a container
docker run -p 3000:3000 myapp

# List running containers
docker ps
```

Integration Tips

Environment Integration

Standard mode works well with various environments:

# In scripts
RESPONSE=$(drgpt --no-markdown "Brief explanation of $TOPIC")
echo "$RESPONSE"

# With pipes
echo "Explain this code:" | cat - myfile.py | drgpt

# From files
drgpt "Analyze this log file: $(cat error.log)"

IDE Integration

Many editors can integrate with DrGPT:

# VS Code terminal
drgpt "Explain this error: $ERROR_MESSAGE"

# Vim command mode
:!drgpt "Explain CSS flexbox"

Next Steps