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#

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

What to Record#

Task description: clearly describe what the task is about
Task goal: define the goal of the task
Task steps: record the task steps in detail
Task result: record the outcome of the task
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#

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

Repeatability Analysis Example#

Task list:

Generate copy for Product A
Generate copy for Product B
Generate copy for Product C
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#

Standardized: tasks should be standardized
Scalable: the plan should be scalable
Maintainable: the plan should be easy to maintain
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

bash

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

Prepare a list of product information
Generate copy for each item using the template
Collect all generated copy
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

bash

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

Automatically export data from the project management tool
Use Claude Code to automatically generate the weekly report
Review and adjust manually
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#

Record promptly: record the task right after completion to avoid forgetting details
Record in detail: keep detailed records so they are easy to reuse later
Categorize and organize: categorize records to make them easy to find
Review regularly: review records regularly and summarize lessons learned
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#

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

Types of Templates#

Prompt templates: templates used to interact with Claude Code
Document templates: templates used to generate documents
Workflow templates: templates used to execute workflows
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

Markdown

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

Consistent format: unify the input format
Complete data: ensure the input data is complete
Accurate data: ensure the input data is accurate
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

Consistent format: use a consistent output format
Complete content: ensure the output is complete
Accurate content: ensure the output is accurate
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#

Flexibility: the solution should be flexible and adjustable
Extensibility: the solution should be easy to extend
Reusability: the solution should be easy to reuse
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

bash

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

Markdown

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

Markdown

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#

text

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#

Start simple: begin with simple templates, then gradually add complexity
Keep optimizing: continuously optimize templates based on real-world usage
Track usage: record how templates are used to make later optimization easier
Share and discuss: share templates with colleagues and learn from each other
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#

User feedback: collect feedback from users
Data feedback: collect feedback from usage data
Self-feedback: collect feedback from your own usage
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

Efficiency analysis: analyze the efficiency of the solution
Quality analysis: analyze the quality of the solution
Cost analysis: analyze the cost of the solution
Satisfaction analysis: analyze user satisfaction

Cons Analysis#

Methods for cons analysis

Issue identification: identify issues in the solution
Root cause analysis: analyze the causes of the issues
Impact analysis: analyze the impact of the issues
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

Impact level: the impact level of the issue
Improvement cost: the cost of making the improvement
Improvement effect: the expected effect of the improvement
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#

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

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:

Go to the Crazyrouter console to create a dedicated API Token, and manage permissions separately by project or team.
For Claude Code, use the root domain: https://cn.crazyrouter.com; for OpenAI-compatible SDKs, use: https://cn.crazyrouter.com/v1.
When you need to automatically check the environment or quickly write configuration, use the Crazyrouter Claude Code one-click configuration script.
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.

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