15 | Chapter 12: Let Claude Solve Problems Automatically: Crazyrouter Series 15

15｜Chapter 12: Let Claude Solve Problems Automatically: Crazyrouter Series 15#

This is article 15 in the Crazyrouter Claude Code series. This article focuses on “Chapter 12: Let Claude Solve Problems Automatically: Crazyrouter Series 15,” covering Chapter 12: Let Claude Solve Problems Automatically, 12.1 From One-Off Tasks to Batch Processing, and Recording Successful One-Off Tasks.

Unified entry-point convention: Claude Code / Anthropic native clients use ANTHROPIC_BASE_URL=https://cn.crazyrouter.com; OpenAI-compatible SDKs, HTTP requests, and frontend/backend applications use base_url=https://cn.crazyrouter.com/v1.

What This Article Covers#

• Who this is for: developers who are using Claude Code, preparing to connect domestic models, or want to unify their team’s model calls through Crazyrouter.
• What you’ll learn: how to configure environment variables according to the Crazyrouter documentation, organize workflows, and avoid /v1/v1/... issues caused by an incorrect Base URL.
• Recommended preparation: first create a dedicated API Token in the Crazyrouter Console, then complete the basic setup by following the Claude Code integration documentation.

Chapter 12: Let Claude Solve Problems Automatically#

12.1 From One-Off Tasks to Batch Processing#

Learning how to turn a one-off task into batch processing can greatly improve efficiency and help Claude Code deliver more value.

Recording Successful One-Off Tasks#

Why Recording Matters#

1. Experience accumulation: record successful approaches so they can be reused later
2. Knowledge retention: turn experience into knowledge and build a knowledge base
3. Efficiency improvement: avoid rethinking the same problem and reuse proven experience directly
4. Quality assurance: use validated methods to ensure quality

What to Record#

1. Task description: clearly describe what the task is about
2. Task goal: define the goal of the task
3. Task steps: record the task steps in detail
4. Task result: record the outcome of the task
5. Lessons learned: summarize takeaways and lessons

Recording Example#

Task: Generate product copy

Record:

• Task description: generate product copy for a smartwatch

• Task goal: generate a product description of about 200 words

• Task steps:

  1. Provide product information
  2. Use a prompt template to generate the copy
  3. Review and adjust manually
  4. Save the final copy

• Task result: successfully generated product copy that met the requirements

• Lessons learned: the prompt template is very effective and can be reused

Analyze Task Repeatability#

Methods for Repeatability Analysis#

1. Frequency analysis: analyze how often the task occurs
2. Pattern recognition: identify common patterns across tasks
3. Requirements analysis: analyze how the task requirements vary
4. Value assessment: evaluate the value of the task

Repeatability Analysis Example#

Task list:

1. Generate copy for Product A
2. Generate copy for Product B
3. Generate copy for Product C
4. Generate copy for Product D

Analysis results:

• Frequency: once per week
• Pattern: all tasks are product copy generation
• Requirements: product information differs, but the formatting requirements are the same
• Value: saves 1–2 hours each time

Conclusion: suitable for batch processing

Design a Batch Processing Plan#

Design Principles for Batch Processing#

1. Standardized: tasks should be standardized
2. Scalable: the plan should be scalable
3. Maintainable: the plan should be easy to maintain
4. Automatable: the plan should be automatable

Design Steps for Batch Processing#

Step 1: Standardize the task

• Unify the task format
• Unify the task requirements
• Unify the task workflow

Step 2: Design templates

• Design a prompt template
• Design an output template
• Design a workflow template

Step 3: Implement automation

• Use Claude Code to implement automation
• Configure the automated workflow
• Test the automation results

Step 4: Optimize the plan

• Optimize based on test results
• Adjust plan parameters
• Improve plan efficiency

Batch Processing Plan Example#

Task: Batch-generate product copy

Plan design:

Step 1: Standardize the task

• Unify the product information format
• Unify the copy requirements
• Unify the output format

Step 2: Design a template

Please help me generate product copy:
- Product name: [Product name]
- Key features: [Feature 1], [Feature 2], [Feature 3]
- Target users: [Target users]
- Word count requirement: about 200 words
- Style requirement: fashionable and modern

Step 3: Implement automation

1. Prepare a list of product information
2. Generate copy for each item using the template
3. Collect all generated copy
4. Review and adjust manually

Step 4: Optimize the plan

• Optimize the prompt template
• Optimize the review process
• Improve generation efficiency

Case Example#

Case: Batch-Generate Weekly Reports#

Task: A weekly report needs to be generated every week

One-off task record:

• Task description: generate this week’s work report

• Task goal: generate a weekly report that includes a work summary, data analysis, issues and recommendations, and next week’s plan

• Task steps:

  1. Export this week’s data from the project management tool
  2. Use Claude Code to analyze the data
  3. Use Claude Code to generate the weekly report
  4. Review and adjust manually
  5. Send the weekly report

• Task result: successfully generated a weekly report that met the requirements

• Lessons learned: the workflow can be automated

Repeatability analysis:

• Frequency: once per week
• Pattern: all tasks are weekly report generation
• Requirements: data differs, but the formatting requirements are the same
• Value: saves 2–3 hours each time

Batch processing plan:

Step 1: Standardize the task

• Unify the data export format
• Unify the weekly report format
• Unify the sending process

Step 2: Design a template

Please help me generate a weekly report:
- This week’s work data: [Data]
- Weekly report requirements:
  1. Include this week’s work summary
  2. Include data analysis
  3. Include issues and recommendations
  4. Include next week’s plan

Step 3: Implement automation

1. Automatically export data from the project management tool
2. Use Claude Code to automatically generate the weekly report
3. Review and adjust manually
4. Automatically send the weekly report

Step 4: Optimize the plan

• Optimize the data export method
• Optimize the generation prompt
• Optimize the review process

Results:

• Original time required: 3–4 hours per week
• Current time required: 30–45 minutes per week
• Time saved: 80–85%

Tips#

1. Record promptly: record the task right after completion to avoid forgetting details
2. Record in detail: keep detailed records so they are easy to reuse later
3. Categorize and organize: categorize records to make them easy to find
4. Review regularly: review records regularly and summarize lessons learned
5. Optimize continuously: keep improving the plan based on actual usage

Now, try turning your one-off tasks into batch processing!

12.2 Templating and Standardization#

Templating and standardization are important ways to improve work efficiency. By creating templates and establishing standards, you can make tasks more consistent and more efficient.

Create Task Templates#

What Templates Do#

1. Improve efficiency: avoid repeated thinking and use templates directly
2. Ensure quality: use validated templates to ensure quality
3. Lower the barrier: make tasks easier to complete
4. Support collaboration: unified templates make team collaboration easier

Types of Templates#

1. Prompt templates: templates used to interact with Claude Code
2. Document templates: templates used to generate documents
3. Workflow templates: templates used to execute workflows
4. Data templates: templates used to process data

Steps to Create a Template#

Step 1: Analyze the task

• Identify common characteristics of the task
• Identify variable parts of the task
• Identify fixed parts of the task

Step 2: Design the template

• Design the structure of the template
• Design placeholders for the template
• Design instructions for the template

Step 3: Test the template

• Use the template to complete the task
• Evaluate the effectiveness of the template
• Optimize the template design

Step 4: Improve the template

• Improve it based on test results
• Add usage instructions
• Save the template

Template Creation Example#

Task: Generate product copy

Template creation:

Step 1: Analyze the task

• Common characteristics: all tasks generate product copy
• Variable parts: product name, product features, target users
• Fixed parts: copy requirements, output format

Step 2: Design the template

Please help me generate product copy:

Product information:
- Product name: [Product name]
- Key features: [Feature 1], [Feature 2], [Feature 3]
- Target users: [Target users]

Copy requirements:
1. Highlight the product’s core selling points
2. Use vivid and engaging language that appeals to the target users
3. Keep the length around 200 words
4. Style requirement: [Style]
5. Include a call to action

Step 3: Test the template

• Use the template to generate copy for Product A
• Use the template to generate copy for Product B
• Evaluate the effectiveness of the template

Step 4: Improve the template

• Improve the template based on test results
• Add usage instructions
• Save the template

Standardize Input and Output#

Input Standardization#

Key points for input standardization

1. Consistent format: unify the input format
2. Complete data: ensure the input data is complete
3. Accurate data: ensure the input data is accurate
4. Standardized data: ensure the input data follows the required standards Input standardization example

Task: batch-generate product copy

Input standardization:

• Product name: required, text format
• Product features: required, at least 3 features
• Target users: required, text format
• Copy style: optional, defaults to "modern and stylish"
• Word count requirement: optional, defaults to 200 words

Output Standardization#

Key points for output standardization

1. Consistent format: use a consistent output format
2. Complete content: ensure the output is complete
3. Accurate content: ensure the output is accurate
4. Standardized content: ensure the output follows the required standards

Output standardization example

Task: batch-generate product copy

Output standardization:

• Copy content: required, text format
• Word count: required, numeric format
• Generation time: required, date-time format
• Review status: required, enum format (pending review, reviewed, revised)

Improve the Generality of the Solution#

Principles of Generality#

1. Flexibility: the solution should be flexible and adjustable
2. Extensibility: the solution should be easy to extend
3. Reusability: the solution should be easy to reuse
4. Maintainability: the solution should be easy to maintain

Ways to Improve Generality#

Method 1: Parameterization

• Parameterize the variable parts
• Provide parameter configuration options
• Support custom parameters

Method 2: Modularization

• Break the solution into modules
• Keep modules independent of each other
• Allow modules to be combined

Method 3: Configuration-based design

• Separate configuration from code
• Provide configuration files
• Support custom configuration

Example of Improving Generality#

Task: generate copy

Solution 1: not general-purpose

Please help me generate copy for a smartwatch. Its main features include health monitoring, workout tracking, and message reminders. The target users are young office workers. Keep it around 200 words.

Solution 2: general-purpose

Please help me generate [type] copy:

Product information:
- Product name: [product name]
- Main features: [feature 1], [feature 2], [feature 3]
- Target users: [target users]

Copy requirements:
1. Highlight the product's core selling points
2. Use vivid and engaging language that appeals to the target users
3. Keep the length around [word count]
4. Style requirement: [style]
5. Include a call to action

Solution 3: more general-purpose

Please help me generate [type] copy:

Product information:
- Product name: [product name]
- Main features: [feature list]
- Target users: [target users]

Copy requirements:
- Word count: [word count]
- Style: [style]
- Include: [items to include]
- Exclude: [items to exclude]

Case Examples#

Case: Standardized Weekly Report Generation Workflow#

Task: generate a weekly report every week

Template creation:

Copyable Project: Prompt Template#

Please help me generate a weekly report:

This week's work data:
[Data]

Weekly report requirements:
1. Include a summary of this week's work
2. Include data analysis
3. Include issues and suggestions
4. Include next week's plan

Input standardization:

• Work data: required, Excel format
• Data period: required, date range
• Reporter: required, text format
• Reporting department: required, text format

Output standardization:

• Work summary: required, text format
• Data analysis: required, text format
• Issues and suggestions: required, text format
• Next week's plan: required, text format
• Generation time: required, date-time format

Generality improvements:

• Support different departments
• Support different time ranges
• Support different reporters
• Support custom requirements

Results:

• Original time required: 3-4 hours per week
• Current time required: 30-45 minutes per week
• Time saved: 80-85%

Tips#

1. Start simple: begin with simple templates, then gradually add complexity
2. Keep optimizing: continuously optimize templates based on real-world usage
3. Track usage: record how templates are used to make later optimization easier
4. Share and discuss: share templates with colleagues and learn from each other
5. Version management: version your templates to make changes traceable

Now, try creating your own templates and standards!

12.3 Continuously Optimize the Solution#

A solution is not fixed forever. To keep it efficient and effective, you need to continuously optimize it based on real-world conditions.

Collect Feedback#

Sources of Feedback#

1. User feedback: collect feedback from users
2. Data feedback: collect feedback from usage data
3. Self-feedback: collect feedback from your own usage
4. Peer feedback: collect feedback from peers

Methods for Collecting Feedback#

Method 1: Questionnaire survey

• Design the questionnaire
• Distribute the questionnaire
• Collect the questionnaire responses
• Analyze the questionnaire responses

Method 2: Interviews and discussions

• Design the interview outline
• Conduct interviews
• Record interview content
• Analyze interview results

Method 3: Data analysis

• Collect usage data
• Analyze usage data
• Identify issues
• Propose improvement suggestions

Method 4: Observation and notes

• Observe the usage process
• Record usage details
• Identify issues
• Propose improvement suggestions

Example of Feedback Collection#

Task: use Claude Code to generate weekly reports

Feedback collection:

User feedback:

• Fast generation
• High content quality
• Occasional formatting issues
• Hope it can send automatically

Data feedback:

• Average generation time: 5 minutes
• Manual review time: 10 minutes
• Total time required: 15 minutes
• Saves 80% of the time compared with the original process

Self-feedback:

• Smooth workflow
• Effective template
• Review workflow needs optimization
• Automatic sending can be added

Peer feedback:

• Workflow design is reasonable
• Template can be shared
• Suggest adding more templates
• Suggest building a template library

Analyze the Pros and Cons of the Solution#

Pros Analysis#

Methods for pros analysis

1. Efficiency analysis: analyze the efficiency of the solution
2. Quality analysis: analyze the quality of the solution
3. Cost analysis: analyze the cost of the solution
4. Satisfaction analysis: analyze user satisfaction

Cons Analysis#

Methods for cons analysis

1. Issue identification: identify issues in the solution
2. Root cause analysis: analyze the causes of the issues
3. Impact analysis: analyze the impact of the issues
4. Priority analysis: analyze the priority of the issues

Example of Pros and Cons Analysis#

Solution: use Claude Code to generate weekly reports

Pros analysis:

• High efficiency: saves 80% of the time
• High quality: content is accurate and complete
• Low cost: only requires paying for Claude Code
• High satisfaction: user satisfaction is 90%

Cons analysis:

• Issue 1: occasional formatting issues

  • Cause: the prompt is not precise enough
  • Impact: manual adjustment is required
  • Priority: medium

• Issue 2: manual review is required

  • Cause: AI may produce errors
  • Impact: increases manual effort
  • Priority: low

• Issue 3: cannot send automatically

  • Cause: the workflow is incomplete
  • Impact: manual sending is required
  • Priority: high

Iterate on the Improvement Plan#

Improvement Priorities#

Principles for setting priorities

1. Impact level: the impact level of the issue
2. Improvement cost: the cost of making the improvement
3. Improvement effect: the expected effect of the improvement
4. Improvement difficulty: the difficulty of making the improvement

Improvement Steps#

Step 1: Define improvement goals

• Clarify the improvement goals
• Set improvement metrics
• Define the improvement timeline

Step 2: Design the improvement plan

• Analyze the root causes of issues
• Design the improvement plan
• Evaluate the improvement plan

Step 3: Implement the improvement plan

• Implement according to the improvement plan
• Monitor the improvement process
• Record the improvement results

Step 4: Evaluate the improvement results

• Evaluate the improvement results
• Compare the before and after states
• Summarize lessons learned from the improvement

Example Improvement Plan#

Issue: the weekly report generation workflow needs optimization

Improvement goals:

• Resolve formatting issues
• Reduce manual review time
• Add automatic sending
• Goal: reduce total time required from 15 minutes to 10 minutes

Improvement plan:

Improvement 1: optimize the prompt

• Issue: occasional formatting issues
• Plan: optimize the prompt and add formatting requirements
• Cost: low
• Effect: expected to reduce formatting issues by 50%

Improvement 2: optimize the review workflow

• Issue: manual review is required
• Plan: create a review checklist to improve review efficiency
• Cost: medium
• Effect: expected to reduce review time by 30%

Improvement 3: add automatic sending

• Issue: cannot send automatically
• Plan: configure automatic sending
• Cost: medium
• Effect: expected to save 5 minutes

Implementation plan:

• Week 1: optimize the prompt
• Week 2: optimize the review workflow
• Week 3: add automatic sending
• Week 4: evaluate the improvement results

Case Examples#

Case: Continuously Optimize the Weekly Report Generation Workflow#

Initial solution:

• Use Claude Code to generate weekly reports
• Manually review and adjust
• Manually send weekly reports
• Total time required: 15 minutes

First round of optimization:

• Optimize the prompt
• Reduce formatting issues
• Total time required: 12 minutes
• Time saved: 20%

Second round of optimization:

• Optimize the review workflow
• Create a review checklist
• Total time required: 10 minutes
• Time saved: 33%

Third round of optimization:

• Add automatic sending
• Configure automatic sending
• Total time required: 5 minutes
• Time saved: 50%

Final results:

• Original time required: 3-4 hours per week
• After initial optimization: 15 minutes per week
• After final optimization: 5 minutes per week
• Total time saved: 95%

Tips#

1. Continuously collect feedback: keep collecting feedback so you can identify issues quickly
2. Analyze regularly: regularly analyze the pros and cons of the solution
3. Improve by priority: prioritize issues with high impact and low cost
4. Move fast in small steps: improve gradually with small, fast iterations
5. Record improvements: document the improvement process for future reference Now, keep refining your solution!

Related Reading#

• Previous article: Article 14
• Next article: Article 16
• Configuration docs: Connect Claude Code to Crazyrouter
• API endpoint guide: Base URL and /v1 usage
• One-click configuration script: Crazyrouter Claude Code one-click configuration script

Get Started with Crazyrouter Integration#

If you're ready to connect Claude Code, Chinese models, or your own applications to Crazyrouter through a unified gateway, follow this sequence:

1. Go to the Crazyrouter console to create a dedicated API Token, and manage permissions separately by project or team.
2. For Claude Code, use the root domain: https://cn.crazyrouter.com; for OpenAI-compatible SDKs, use: https://cn.crazyrouter.com/v1.
3. When you need to automatically check the environment or quickly write configuration, use the Crazyrouter Claude Code one-click configuration script.
4. If debugging fails, check the console logs first, then verify the API Endpoint guide, with special attention to whether the Base URL has an extra /v1.

When you need to evaluate model costs or choose different models, start with the Crazyrouter pricing and models page, then add your commonly used models to the Token whitelist.