Claude Usage Guide

Complete manual for Anthropic's Claude AI

Overview

Claude is a large language model (LLM) developed by Anthropic, known for its safety, steerability, and deep reasoning capabilities. In 2026, Claude has become the AI assistant of choice for professional users, excelling in accurate understanding, nuanced reasoning, and long-text processing.

This guide will help you fully understand Claude's capabilities, usage techniques, and best practices.

What is Claude?

Core Features

1. Constitutional AI

Anthropic's unique safety training method
Model follows ethical guidelines, avoids harmful outputs
Reduces hallucinations and unwanted behaviors

2. Massive Context Window

Standard users: 500K tokens
Enterprise users: Up to 2M tokens
Can "read" entire books or entire codebases

3. Deep Reasoning Capability

SWE-bench score: 80.9% (industry-leading)
Suitable for complex analysis, architecture design
Transparent reasoning process

4. Multimodal Capabilities

Text understanding and generation
Image understanding (Vision)
Code generation and analysis

Claude Model Family

Claude Opus 4.6 - Most Powerful Model

Features:

Strongest reasoning ability
Highest output quality
Suitable for complex tasks

Best For:

Complex architecture design
Legal contract analysis
Research paper synthesis
Strategic planning
Multi-step problem solving

Performance:

SWE-bench: 80.9%
MMLU: 92.3%
HumanEval: 91.7%

Claude Sonnet 4.6 - Balanced Choice (Recommended)

Features:

Best balance of capability and speed
Fast response time
High-quality output

Best For:

Daily programming work
Content creation
Data analysis
General reasoning tasks

Performance:

SWE-bench: 76.2%
MMLU: 88.7%
HumanEval: 87.2%

Why Recommended:

✅ Best value for money
✅ Fast response time
✅ Sufficient quality
✅ Suitable for daily use

Claude Haiku 4.5 - Fast Response

Features:

Fastest response speed
Lowest cost
Suitable for simple tasks

Best For:

Simple Q&A
Quick summarization
Real-time conversation
Lightweight tasks

Pricing Plans

Individual Plans

Plan	Price	Features
Free	$0/month	Basic features, limited usage
Pro	$20/month	5x usage, access to Claude 4.6
Max	$100-200/month	Unlimited Claude 4.6 + Opus access

Team Plans

Plan	Price	Features
Team	$30/seat/month	Admin control, shared project memory
Enterprise	Custom	2M context, SSO, advanced security

API Pricing

Model	Input Price	Output Price
Claude Opus 4.6	$15/M tokens	$75/M tokens
Claude Sonnet 4.6	$3/M tokens	$15/M tokens
Claude Haiku 4.5	$0.25/M tokens	$1.25/M tokens

Core Features in Detail

1. Long-Text Processing

Description: Claude's massive context window enables processing:

Entire books (500K tokens ≈ 375,000 words)
Complete codebases (small to medium projects)
Legal contracts
Research paper collections

Usage Tips:

Prompt Example:
I've uploaded a 200-page technical document. Please:
1. Summarize main points
2. Extract key data
3. Identify potential issues
4. Provide implementation suggestions

[Upload document]

Best Practices:

✅ Provide complete context at once
✅ Clearly specify desired output
✅ Leverage Claude's understanding capability
❌ Don't ask in multiple rounds (wastes context)

2. Claude Code - Programming Assistant

Description: Claude Code is a command-line AI programming assistant with:

Super strong context understanding
Tool calling capability (read files, run commands, create PRs)
Checkpoints mechanism (save progress, rollback on errors)
Deep code understanding

Installation:

bash

# Claude Code is included in Claude Pro subscription
# Access via command line
claude

Usage Example:

bash

$ claude

You: Help me create an Express REST API with user auth and CRUD operations

Claude: I'll create a complete Express API project. Let me first analyze your requirements...

[Analyze project structure]
[Generate config files]
[Write API code]
[Create test cases]
[Run verification]

✅ Done! Project created at ./my-api

Best Practices:

✅ Provide complete project context
✅ Let Claude understand before executing
✅ Use checkpoint mechanism
✅ Review generated code

3. Computer Use

Description: Claude can control computers:

Move cursor
Click buttons
Type text
Navigate web apps
Manage file systems

Use Cases:

Automate repetitive tasks
Test web applications
Fill forms
Data entry

Usage: Access through API or Claude Code's Agent mode.

Security Considerations:

⚠️ Use only in trusted environments
⚠️ Human supervision for important operations
⚠️ Set operational boundaries

4. Artifacts - Interactive Content

Description: Claude can generate interactive content:

React components
SVG graphics
Mermaid diagrams
HTML/CSS/JS applications

Usage Example:

Prompt:
Create an interactive todo list application with:
- Add/delete tasks
- Mark complete
- Local storage

Please generate complete code in Artifacts.

Claude generates:

Complete runnable code
Can preview directly
Can copy and use

Usage Techniques

Technique 1: Provide Clear Context

Bad Prompt:

Help me write a function

Good Prompt:

I need a Python function to handle user input validation:
- Input: string
- Validation rule: email format
- Output: boolean + error message
- Must consider: null values, special characters, length limits

Why Important:

Claude won't guess your requirements
Clear context = high-quality output
Saves iteration time

Technique 2: Break Down Complex Tasks

Not Recommended:

Help me develop a complete e-commerce platform

Recommended:

Phase 1: Design data model
Phase 2: Implement user authentication
Phase 3: Create product management
Phase 4: Implement shopping cart
Phase 5: Integrate payment

Start with Phase 1...

Why Important:

Complex tasks prone to errors
Better quality when broken down
Easier to review and adjust

Technique 3: Use Examples to Guide

Prompt Template:

I need you to help me write code/documentation/analysis.

Background: [project background]
Goal: [specific goal]
Constraints: [tech stack, limitations]
Format reference: [provide example]

Example:
[good example]

Please generate in the format above.

Effect:

Output better matches expectations
Less rework
Maintains consistency

Technique 4: Leverage Long Context

Provide All Information at Once:

Don't do this:
1st question: Please analyze this file
2nd question: Also this file
3rd question: And this file

Do this:
Provide all relevant files at once, let Claude understand completely

Benefits:

Claude sees the big picture
Better analysis results
Avoid missing important information

Technique 5: Specify Output Format

Specify Output Format:

Please output in JSON format:
{
  "summary": "summary",
  "keyPoints": ["point1", "point2"],
  "recommendation": "suggestion"
}

Benefits:

Structured output
Easy to process
Reduces ambiguity

Best Practices

1. Programming Tasks

DO:

✅ Provide complete project context
✅ Specify tech stack and constraints
✅ Request tests
✅ Ask Claude to explain code logic

DON'T:

❌ Copy code without review
❌ Use without understanding
❌ Ignore security issues
❌ Skip testing

Example:

I'm developing a Next.js app using TypeScript and Prisma.

Requirement: Implement user authentication system
- JWT tokens
- Password encryption (bcrypt)
- Login/register APIs
- Middleware verification

Please provide complete implementation including:
1. API route code
2. Prisma schema
3. Middleware implementation
4. Unit tests
5. Security considerations

2. Content Creation

DO:

✅ Specify target audience
✅ Indicate style and tone
✅ Provide reference materials
✅ Request multiple versions

DON'T:

❌ Expect perfection first time
❌ Don't provide background
❌ Ignore factual accuracy

Example:

Help me write an article about "AI coding tool selection".

Target audience: Experienced developers
Word count: 3000 words
Style: Professional, objective, practical
Structure:
1. Tool comparison framework
2. Mainstream tools introduction
3. Selection recommendations
4. Real-world cases

Please reference the tool evaluation report I uploaded, ensure data accuracy.

3. Data Analysis

DO:

✅ Provide complete data
✅ Specify analysis goals
✅ Request visualization suggestions
✅ Verify conclusions

DON'T:

❌ Analyze incomplete data
❌ Don't verify conclusions
❌ Ignore data quality

Example:

I uploaded sales data CSV (10,000 rows).

Analysis goals:
1. Sales trend analysis
2. Product performance comparison
3. Seasonal patterns
4. Anomaly detection

Output requirements:
- Key insights (text)
- Data tables (Markdown)
- Visualization suggestions (chart types)
- Action recommendations

4. Architecture Design

DO:

✅ Describe business requirements
✅ Specify technical constraints
✅ Request trade-off analysis
✅ Ask for alternatives

DON'T:

❌ Just say "design system"
❌ Don't provide background
❌ Ignore non-functional requirements

Example:

Design a high-concurrency user service system.

Business requirements:
- 1M DAU
- Real-time data sync
- Multi-device support

Technical constraints:
- Go language
- PostgreSQL
- Redis cache
- Limited budget

Please provide:
1. Architecture diagram (text description)
2. Database design
3. API design
4. Scalability considerations
5. Cost estimation

Common Issues Solutions

Issue 1: Claude Output Too Long or Short

Solution:

Clearly specify word/paragraph count:
"Please answer in under 500 words..."
"Please provide detailed explanation (at least 1000 words)..."

Issue 2: Claude Goes Off Topic

Solution:

Correct promptly:
"This isn't what I want, let's refocus on..."

Provide example:
"Please follow this format: [example]"

Issue 3: Claude Misunderstands

Solution:

Rephrase:
"Let me explain differently..."

Provide specific example:
"For instance: [specific example]"

Issue 4: Unstable Output Quality

Solution:

Add constraints:
- Must include X, Y, Z
- Don't include A, B, C
- Format must be...

Security and Privacy

Data Handling Principles

Claude won't:

❌ Store your conversations for training (by default)
❌ Share your data with third parties
❌ Use your information without authorization

Best Practices:

✅ Don't share sensitive info (passwords, keys)
✅ Clear sensitive data after conversations
✅ Use enterprise version for more control

Comparison with Other Tools

Claude vs ChatGPT

Dimension	Claude	ChatGPT
Context window	500K-2M tokens	128K tokens
Reasoning depth	Stronger	Strong
Coding ability	Stronger	Strong
Response speed	Medium	Fast
Multimodal	Images	Images, video, audio
Ecosystem	Smaller	Rich

Selection Advice:

Need deep analysis → Claude
Need fast response → ChatGPT
Process long documents → Claude
Use plugin ecosystem → ChatGPT

Claude vs DeepSeek

Dimension	Claude	DeepSeek
Context window	500K-2M	128K
Coding ability	Strong	Stronger (Chinese)
Chinese understanding	Strong	Stronger
Price	$20/month	Cheaper
Security	Stronger	Strong

Selection Advice:

Enterprise security needs → Claude
Programming intensive → DeepSeek
Chinese content focus → DeepSeek
Limited budget → DeepSeek

Advanced Techniques

1. Use System Prompt

In API:

python

import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="claude-opus-4-6-20250514",
    max_tokens=1024,
    system="You are a professional Python developer focused on writing clean, efficient, secure code.",
    messages=[
        {"role": "user", "content": "Implement a cache decorator"}
    ]
)

Effect:

Sets Claude's role and behavior
Maintains consistency
Improves output quality

2. Chain of Thought

Prompt:

Please think through this problem step by step:
1. First, analyze...
2. Then, consider...
3. Next, evaluate...
4. Finally, recommend...

Show your thinking process.

Effect:

Claude shows reasoning process
Easier to spot errors
More reliable results

3. Few-Shot Learning

Provide Examples:

Here are good code comment examples:

Example 1:
# Calculate user purchase discount
# Parameters: user object, order amount
# Returns: discounted price
def calculate_discount(user, amount):
    ...

Example 2:
// Check if user has permission to access resource
// Returns true/false
func hasPermission(user, resource) {
    ...
}

Now write comments for this function:
[your function]

Effect:

Claude learns your style
Output better matches expectations
Maintains consistency

Conclusion

Claude's Core Advantages

Massive Context - Process long documents and complete codebases
Deep Reasoning - Complex analysis and architecture design
Safe and Reliable - Constitutional AI training
High-Quality Output - Professional results
Transparent Reasoning - Understandable thought process

When to Choose Claude

✅ Need to process large amounts of text
✅ Need deep analysis
✅ Need high accuracy
✅ Need to understand complex contexts
✅ Need professional-level code generation

When to Choose Other Tools

Need fast response → ChatGPT
Programming intensive → DeepSeek
Need multimodal (video) → Gemini
Need plugin ecosystem → ChatGPT

Next Steps

Take Action Now:

Sign up for Claude account (free trial)
Try the example prompts in this guide
Test different models (Opus/Sonnet/Haiku)
Explore Claude Code command-line tool

Deep Learning:

Anthropic official documentation
Claude API documentation
Best practices case library

References:

Anthropic Claude Official Docs (2026)
Claude AI Plans 2026 Guide (GlobalGPT, 2026)
Claude Pricing Analysis (Finout, 2026)
AI Coding Assistants Comparison (AIToolVS, 2026)

Claude Usage Guide ​

Overview ​

What is Claude? ​

Core Features ​

Claude Model Family ​

Claude Opus 4.6 - Most Powerful Model ​

Claude Sonnet 4.6 - Balanced Choice (Recommended) ​

Claude Haiku 4.5 - Fast Response ​

Pricing Plans ​

Individual Plans ​

Team Plans ​

API Pricing ​

Core Features in Detail ​

1. Long-Text Processing ​

2. Claude Code - Programming Assistant ​

3. Computer Use ​

4. Artifacts - Interactive Content ​

Usage Techniques ​

Technique 1: Provide Clear Context ​

Technique 2: Break Down Complex Tasks ​

Technique 3: Use Examples to Guide ​

Technique 4: Leverage Long Context ​

Technique 5: Specify Output Format ​

Best Practices ​

1. Programming Tasks ​

2. Content Creation ​

3. Data Analysis ​

4. Architecture Design ​

Common Issues Solutions ​

Issue 1: Claude Output Too Long or Short ​

Issue 2: Claude Goes Off Topic ​

Issue 3: Claude Misunderstands ​

Issue 4: Unstable Output Quality ​

Security and Privacy ​

Data Handling Principles ​

Comparison with Other Tools ​

Claude vs ChatGPT ​

Claude vs DeepSeek ​

Advanced Techniques ​

1. Use System Prompt ​

2. Chain of Thought ​

3. Few-Shot Learning ​

Conclusion ​

Claude's Core Advantages ​

When to Choose Claude ​

When to Choose Other Tools ​

Next Steps ​

Claude Usage Guide

Overview

What is Claude?

Core Features

Claude Model Family

Claude Opus 4.6 - Most Powerful Model

Claude Sonnet 4.6 - Balanced Choice (Recommended)

Claude Haiku 4.5 - Fast Response

Pricing Plans

Individual Plans

Team Plans

API Pricing

Core Features in Detail

1. Long-Text Processing

2. Claude Code - Programming Assistant

3. Computer Use

4. Artifacts - Interactive Content

Usage Techniques

Technique 1: Provide Clear Context

Technique 2: Break Down Complex Tasks

Technique 3: Use Examples to Guide

Technique 4: Leverage Long Context

Technique 5: Specify Output Format

Best Practices

1. Programming Tasks

2. Content Creation

3. Data Analysis

4. Architecture Design

Common Issues Solutions

Issue 1: Claude Output Too Long or Short

Issue 2: Claude Goes Off Topic

Issue 3: Claude Misunderstands

Issue 4: Unstable Output Quality

Security and Privacy

Data Handling Principles

Comparison with Other Tools

Claude vs ChatGPT

Claude vs DeepSeek

Advanced Techniques

1. Use System Prompt

2. Chain of Thought

3. Few-Shot Learning

Conclusion

Claude's Core Advantages

When to Choose Claude

When to Choose Other Tools

Next Steps