# Sequential Thinking: Executive Summary
## What is Sequential Thinking?
Sequential Thinking is a structured problem-solving tool that helps break down complex problems into manageable steps. It provides a framework for dynamic, adaptable thinking that can evolve as understanding deepens.
## Core Concept
```mermaid
flowchart LR
Problem["Complex\nProblem"] --> ST["Sequential\nThinking"]
ST --> Steps["Structured\nSteps"]
Steps --> Solution["Refined\nSolution"]
style ST fill:#f9f,stroke:#333,stroke-width:2px
```
Sequential Thinking allows you to:
- Break down complex problems into clear steps
- Revise your thinking as new insights emerge
- Explore alternative paths through branching
- Adjust the scope dynamically as needed
## How It Works
```mermaid
flowchart TD
Start["Start"] --> T1["Thought 1"]
T1 --> T2["Thought 2"]
T2 --> T3["Thought 3"]
T2 -.-> |"Revision"| R2["Revise\nThought 2"]
T2 -.-> |"Branch"| B1["Alternative\nPath"]
T3 --> More{"Need more\nthoughts?"}
More -->|"Yes"| T4["Thought 4"]
More -->|"No"| End["Solution"]
R2 -.-> T3
B1 -.-> End
T4 --> End
style End fill:#9f9,stroke:#333,stroke-width:2px
```
Each thought in the sequence:
1. Builds on previous insights
2. Can be revised if needed
3. Can branch into alternative paths
4. Is visually formatted for clarity
## Key Benefits
- **Structured Approach**: Provides a clear framework for tackling complex problems
- **Adaptability**: Allows thinking to evolve as understanding deepens
- **Visibility**: Makes the thinking process explicit and traceable
- **Flexibility**: Supports revisions and alternative paths
## When to Use Sequential Thinking
- Complex problem-solving
- Planning and design tasks
- Analysis requiring multiple steps
- Situations where the full scope may not be clear initially
- Problems that might need course correction
## Example: Simple Problem-Solving Flow
```mermaid
sequenceDiagram
participant User as User
participant ST as Sequential Thinking
participant LLM as LLM
User->>LLM: Present complex problem
LLM->>ST: Thought 1: Initial analysis
ST-->>LLM: Thought recorded (1/4)
LLM->>ST: Thought 2: Deeper exploration
ST-->>LLM: Thought recorded (2/4)
LLM->>ST: Thought 3: Realize need to revise
ST-->>LLM: Thought recorded (3/4)
LLM->>ST: Thought 4: Revision of Thought 2
Note right of ST: Marked as revision
ST-->>LLM: Thought recorded (4/4)
LLM->>User: Present solution with reasoning chain
```
## Visual Representation of Thoughts
Each thought is visually formatted with:
- Type indicator (regular, revision, or branch)
- Progress tracking (current/total)
- Clear borders for readability
```
┌─────────────────────────────────────┐
│ 💭 Thought 1/4 │
├─────────────────────────────────────┤
│ Initial analysis of the problem... │
└─────────────────────────────────────┘
┌─────────────────────────────────────┐
│ 🔄 Revision 4/4 (revising thought 2) │
├─────────────────────────────────────┤
│ Better approach based on new data... │
└─────────────────────────────────────┘
```
## Integration
Sequential Thinking is implemented as an MCP (Model Context Protocol) server, making it easy to integrate with AI systems and other tools in your workflow.
## Conclusion
Sequential Thinking provides a powerful framework for structured problem-solving that adapts to the complexity of the task at hand. By making the thinking process explicit and supporting revisions and branching, it enables more effective reasoning and problem-solving.