Chain-of-Thought (CoT)

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Age Problem Solver

When I was 3 years old, my partner was 3 times my age. Now, I am 20 years old. How old is my partner?

Let's think step by step.

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Age Problem Solver with Examples

Q: When my brother was 2 years old, I was double his age. Now I am 40 years old. How old is my brother? Let's think step by step.

A: When my brother was 2 years old, I was 2 × 2 = 4 years old. That's an age difference of 4 - 2 = 2 years, and I am older. Now I am 40 years old, so my brother is 40 - 2 = 38 years old. The answer is 38.

Q: When I was 3 years old, my partner was 3 times my age. Now, I am 20 years old. How old is my partner? Let's think step by step.

A: [Let the AI complete this using the pattern from the example]

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Mathematical/Logical Problems
"Let's think step by step."
"Let's work through this systematically."
"Let's break this down into steps."

# Analysis Tasks
"Let's analyze this carefully."
"Let's examine each component."
"Let's think through the implications."

# Creative/Planning Tasks
"Let's approach this methodically."
"Let's consider each aspect."
"Let's build this solution piece by piece."

# Code Generation
"Let's implement this step by step."
"Let's break down the requirements first."
"Let's design the solution systematically."

Problem: {{ user_problem }}

{{ trigger_phrase }}

---
provider: OpenAI
model: gpt-4o
temperature: 0.3
---

# Product Description Generator

Product: {{ product_name }}

Let's create a compelling product description by thinking through this step by step:

Step 1: Analyze the product name
- What type of product does this suggest?
- What market segment would this target?
- What key features can we infer?

Step 2: Make reasonable assumptions
- Who is the target customer?
- What problems does this solve?
- What are the key selling points?

Step 3: Structure the description
- Opening hook to grab attention
- Key features and benefits
- Social proof or credibility elements
- Call to action

Step 4: Write the description
Based on my analysis and assumptions:

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Word Problem Solver

Problem: {{ math_word_problem }}

Let me solve this step by step:

Step 1: Extract the key information
- What quantities are given?
- What relationships exist between them?
- What am I asked to find?

Step 2: Set up the mathematical model
- Define variables for unknown quantities
- Write equations based on the relationships
- Identify the mathematical operations needed

Step 3: Solve systematically
- Perform calculations in logical order
- Show each algebraic step
- Check intermediate results

Step 4: Verify and interpret
- Does the answer make logical sense?
- Does it satisfy the original constraints?
- Express the final answer clearly

Solution:

---
provider: OpenAI
model: gpt-4o
temperature: 0.2
---

<step>
# Step 1: Problem Analysis

Let's analyze this business scenario step by step: {{ business_scenario }}

## Initial Assessment:
1. **Key Stakeholders**: Who are the main parties involved?
2. **Core Problem**: What is the fundamental issue?
3. **Constraints**: What limitations do we need to consider?
4. **Success Metrics**: How will we measure success?

## Analysis:
</step>

<step>
# Step 2: Solution Brainstorming

Based on my analysis: {{ problem_analysis }}

Now let me generate potential solutions:

## Brainstorming Process:
1. **Traditional Approaches**: What are the conventional solutions?
2. **Innovative Options**: What creative alternatives exist?
3. **Resource Requirements**: What would each solution need?
4. **Risk Assessment**: What are the potential downsides?

## Potential Solutions:
</step>

<step>
# Step 3: Solution Evaluation

Given these potential solutions: {{ solution_brainstorming }}

Let me evaluate each option systematically:

## Evaluation Criteria:
1. **Feasibility** (1-10): How realistic is implementation?
2. **Impact** (1-10): How effective will this be?
3. **Cost** (1-10): How resource-efficient is this? (10 = low cost)
4. **Timeline** (1-10): How quickly can this be implemented? (10 = very fast)

## Solution Rankings:
</step>

<step>
# Step 4: Implementation Planning

Based on the evaluation: {{ solution_evaluation }}

The recommended solution is: [Top-ranked solution]

## Implementation Plan:
1. **Phase 1** (Weeks 1-2): [Initial steps]
2. **Phase 2** (Weeks 3-4): [Development phase]
3. **Phase 3** (Weeks 5-6): [Testing and refinement]
4. **Phase 4** (Weeks 7-8): [Full implementation]

## Risk Mitigation:
- **Risk 1**: [Potential issue] → **Mitigation**: [How to address]
- **Risk 2**: [Potential issue] → **Mitigation**: [How to address]

## Success Metrics:
- **Short-term** (1 month): [Immediate indicators]
- **Medium-term** (3 months): [Progress markers]
- **Long-term** (6+ months): [Ultimate success measures]
</step>

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Scientific Method with Chain-of-Thought

Apply the scientific method to analyze: {{ research_question }}

## Step 1: Observation and Question Formation
- **Observation**: What have we observed?
- **Research Question**: What specific question are we trying to answer?
- **Background**: What do we already know about this topic?

## Step 2: Hypothesis Development
- **Hypothesis**: What do we predict will happen?
- **Reasoning**: Why do we think this will occur?
- **Variables**: What factors might influence the outcome?

## Step 3: Experimental Design
- **Method**: How would we test this hypothesis?
- **Controls**: What variables need to be controlled?
- **Measurements**: What data would we collect?

## Step 4: Data Analysis Framework
- **Expected Results**: What patterns would support our hypothesis?
- **Alternative Explanations**: What other factors could explain results?
- **Statistical Considerations**: How would we ensure reliability?

## Step 5: Conclusion and Implications
- **Interpretation**: What would different results mean?
- **Limitations**: What are the constraints of this approach?
- **Next Steps**: How would this lead to further research?

## Analysis:
[Apply this framework to the given research question]

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Legal Analysis with Chain-of-Thought

Analyze this legal scenario step by step: {{ legal_scenario }}

## Step 1: Fact Pattern Analysis
- **Key Facts**: What are the essential facts?
- **Parties Involved**: Who are the relevant parties?
- **Timeline**: What is the sequence of events?
- **Jurisdiction**: What legal system applies?

## Step 2: Legal Issue Identification
- **Primary Issues**: What are the main legal questions?
- **Secondary Issues**: What related questions arise?
- **Precedent Relevance**: What similar cases might apply?

## Step 3: Rule Identification
- **Applicable Laws**: What statutes or regulations apply?
- **Case Law**: What precedents are relevant?
- **Legal Standards**: What tests or criteria apply?

## Step 4: Application of Law to Facts
- **Element Analysis**: How do the facts satisfy each legal element?
- **Counterarguments**: What opposing positions exist?
- **Distinguishing Cases**: How is this different from precedents?

## Step 5: Conclusion and Reasoning
- **Legal Conclusion**: What is the most likely outcome?
- **Strength of Position**: How strong is each side's case?
- **Risk Assessment**: What are the uncertainties?

## Analysis:
[Apply this legal reasoning framework]

---
provider: OpenAI
model: gpt-4o
temperature: 0.3
---

<step>
# Initial Reasoning Attempt

Problem: {{ complex_problem }}

Let me work through this step by step:

1. **Understanding**: [Break down the problem]
2. **Approach**: [Choose a method]
3. **Execution**: [Work through the solution]
4. **Result**: [State the initial answer]

Initial Solution:
</step>

<step>
# Self-Critique and Error Checking

Let me review my initial reasoning: {{ initial_reasoning }}

## Error Checking:
1. **Logic Verification**: Are my reasoning steps sound?
2. **Calculation Check**: Are my computations correct?
3. **Assumption Review**: What assumptions did I make?
4. **Alternative Approaches**: Could I solve this differently?

## Potential Issues Found:
- [List any problems identified]

## Confidence Level**: [High/Medium/Low] because [reasoning]
</step>

<step>
# Revised Solution (if needed)

Based on my self-critique

If the initial reasoning had issues, let me correct it:
## Corrections Made:
1. **Issue**: [Problem identified]
   **Correction**: [How I fixed it]

## Revised Step-by-Step Solution:
[Work through the corrected solution]

## Final Answer: [Corrected result]

Otherwise, confirm the original reasoning:
## Confirmation:
My initial reasoning appears sound. The original answer stands.

## Final Answer: [Original result confirmed]
</step>

---
provider: OpenAI
model: gpt-4o
temperature: 0.4
type: agent
agents:
  - agents/analyst_a
  - agents/analyst_b
  - agents/synthesizer
---

# Multi-Perspective Analysis

Analyze this complex issue: {{ complex_issue }}

Use multiple analytical perspectives and then synthesize the findings.

## Analysis Framework:

### Perspective A: {{ perspective_a_description }}
- Apply this analytical lens step by step
- Focus on {{ perspective_a_focus }}

### Perspective B: {{ perspective_b_description }}
- Apply this different analytical approach
- Emphasize {{ perspective_b_focus }}

### Synthesis:
- Compare and contrast the perspectives
- Identify points of agreement and disagreement
- Develop a comprehensive understanding

Coordinate the analysis across agents and provide a unified conclusion.

---
provider: OpenAI
model: gpt-4o
temperature: 0.2
---

# Adaptive Chain-of-Thought

The reasoning approach adapts based on the problem type: {{ problem_type }}

{{ if problem_type === "mathematical" }}
  ## Mathematical Problem-Solving Steps:
  1. **Parse the Problem**: Extract numbers, operations, and relationships
  2. **Identify the Method**: Choose appropriate mathematical approach
  3. **Set Up Equations**: Translate word problem to mathematical expressions
  4. **Solve Step-by-Step**: Show all algebraic manipulations
  5. **Verify**: Check answer by substitution or alternative method
{{ endif }}


{{ if problem_type === "analytical" }}
  ## Analytical Reasoning Steps:
  1. **Decompose**: Break complex issue into component parts
  2. **Research**: Gather relevant information and context
  3. **Framework**: Apply appropriate analytical model
  4. **Synthesize**: Combine insights from different sources
  5. **Conclude**: Draw evidence-based conclusions
{{ endif }}

{{ if problem_type === "creative" }}
  ## Creative Problem-Solving Steps:
  1. **Understand**: Deeply comprehend the challenge
  2. **Diverge**: Generate multiple creative options
  3. **Combine**: Mix and match ideas innovatively
  4. **Evaluate**: Assess feasibility and impact
  5. **Refine**: Improve the most promising solutions
{{ endif }}

## Problem to Solve:
{{ user_problem }}

## Step-by-Step Solution:
[Apply the appropriate framework above]

---
provider: OpenAI
model: gpt-4o
temperature: 0.2
tools:
  - latitude/search
  - latitude/extract
---

# Research-Enhanced Chain-of-Thought

Let me solve this complex question step by step: {{ research_question }}

## Step 1: Information Gathering
First, I need to research the current facts:

## Step 2: Information Analysis
Based on the search results, let me analyze:
- **Key Facts**: [Extract relevant information]
- **Data Quality**: [Assess reliability of sources]
- **Gaps**: [Identify missing information]

## Step 3: Additional Research (if needed)
Extract specific data that is still unclear or missing.

## Step 4: Reasoning Chain
Now I'll work through the logic:
1. **Given Information**: [Summarize what we know]
2. **Logical Connections**: [Show how facts relate]
3. **Inference Steps**: [Build the argument]
4. **Supporting Evidence**: [Reference research findings]

## Step 5: Conclusion
Based on this systematic analysis:
[Present final answer with full reasoning]

---
provider: OpenAI
model: gpt-4o
temperature: 0.2
---

# Problem Solving with Validation

Problem: {{ complex_problem }}

## Initial Reasoning
Let me work through this step by step:

1. **Understanding**: [Break down the problem]
2. **Approach**: [Choose methodology]
3. **Execution**: [Show work]
4. **Initial Answer**: [State result]

## Self-Validation
Now let me check my work:

1. **Logic Check**: Are my reasoning steps sound?
2. **Calculation Verification**: Let me double-check any math
3. **Sanity Test**: Does this result make intuitive sense?
4. **Alternative Approach**: Can I solve this differently to confirm?

## Final Answer
Based on validation: [Confirmed or corrected result]

---
provider: OpenAI
model: gpt-4o
temperature: 0.1
---

# Reasoning with Confidence Assessment

Problem: {{ problem_statement }}

## Step-by-Step Analysis
[Standard CoT reasoning steps]

## Confidence Assessment
For each step, I'll rate my confidence (1-10):

- **Step 1 Confidence**: 9/10 - Clear factual information
- **Step 2 Confidence**: 7/10 - Some assumptions required
- **Step 3 Confidence**: 8/10 - Standard methodology applied
- **Overall Confidence**: 8/10

## Risk Factors
- **Potential Issues**: [What could go wrong]
- **Missing Information**: [What would improve confidence]
- **Alternative Scenarios**: [Other possible outcomes]

## Conclusion
Answer: [Result] (Confidence: X/10)