Iterative Refinement

---
provider: OpenAI
model: gpt-4o
temperature: 0.6
---

<step>
# Initial Generation

Generate an initial solution to the following problem:

## Problem:
{{ problem_statement }}

## Requirements:
{{ requirements }}

## Initial Solution Approach:
[Provide your initial approach to solving this problem]

## Initial Solution:
[Generate your first attempt at solving the problem]

## Self-Assessment:
[Critically evaluate your solution, identifying at least 3 strengths and 3 weaknesses]
</step>

<step>
# Focused Improvement Plan

Based on the initial solution and self-assessment, create a structured improvement plan:

## Improvement Areas:
1. [Identify specific aspect to improve] - [Why this needs improvement]
2. [Identify specific aspect to improve] - [Why this needs improvement]
3. [Identify specific aspect to improve] - [Why this needs improvement]

## Improvement Strategies:
1. For area 1: [Specific strategies for improvement]
2. For area 2: [Specific strategies for improvement]
3. For area 3: [Specific strategies for improvement]

## Alternative Approaches to Consider:
[Identify 1-2 alternative approaches that might address weaknesses]
</step>

<step>
# Second Iteration Solution

Apply your improvement plan to create an enhanced solution:

## Revised Approach:
[Describe your revised approach based on the improvement plan]

## Second Iteration Solution:
[Generate your improved solution, implementing the improvement strategies]

## Progress Assessment:
1. [Evaluate how well each improvement area was addressed]
2. [Identify any new issues that emerged]
3. [Assess overall improvement compared to first iteration]
</step>

<step>
# Targeted Refinement

Focus on specific elements that still need enhancement:

## Remaining Issues:
[Identify 1-3 specific aspects that still require improvement]

## Targeted Improvements:
[Make specific, focused changes to address each remaining issue]

## Final Solution:
[Present the final refined solution]

## Solution Evolution Summary:
[Briefly summarize how the solution evolved through the iterations]

## Final Quality Assessment:
[Evaluate how well the final solution meets all requirements]
</step>

---
provider: OpenAI
model: gpt-4o
temperature: 0.7
---

<step>
# Initial Content Creation

Create a first draft addressing the following:

## Content Type:
{{ content_type }}

## Topic:
{{ topic }}

## Target Audience:
{{ audience }}

## First Draft:
[Create an initial draft focusing on communicating the core content]
</step>

<step>
# Content Expert Refinement

Refine the content through the lens of a subject matter expert:

## Expert Assessment:
1. Accuracy: Are all facts and concepts correct?
2. Completeness: Are any important aspects missing?
3. Depth: Is the treatment sufficiently thorough?
4. Current knowledge: Does it reflect the latest understanding?

## Expert Improvements:
[Refine the content focusing on factual accuracy and completeness]
</step>

<step>
# Communication Expert Refinement

Refine the content through the lens of a communication expert:

## Communication Assessment:
1. Clarity: Is the message clear and easily understood?
2. Structure: Is the information logically organized?
3. Engagement: Will it capture and maintain audience interest?
4. Persuasiveness: Does it effectively convey the key points?

## Communication Improvements:
[Refine the content focusing on clarity, structure, and engagement]
</step>

<step>
# Audience Advocate Refinement

Refine the content through the lens of the target audience:

## Audience Perspective Assessment:
1. Relevance: Does it address the audience's primary concerns?
2. Accessibility: Is it pitched at the right level?
3. Specific needs: Does it accommodate audience-specific requirements?
4. Potential objections: Does it address likely questions or concerns?

## Audience-Focused Improvements:
[Refine the content to better align with audience needs and perspective]
</step>

<step>
# Style and Polish Refinement

Apply final refinements focusing on style and polish:

## Style Assessment:
1. Tone: Is the tone appropriate for the content and audience?
2. Language: Is the word choice precise and effective?
3. Flow: Do sentences and paragraphs connect smoothly?
4. Mechanics: Are grammar, spelling, and punctuation perfect?

## Final Polished Version:
[Produce the final version with all refinements integrated]

## Refinement Summary:
[Briefly explain how the content evolved through each refinement stage]
</step>

---
provider: OpenAI
model: gpt-4o
temperature: 0.6
type: agent
---

# Collaborative Refinement Process

This prompt facilitates an iterative refinement process between human and AI.

## Project:
{{ project_description }}

## Current Iteration: 1

### AI Initial Draft:
[Generate initial content or solution addressing the project requirements]

### Reflection Questions for Human Feedback:
1. What aspects of this draft work well for your needs?
2. What specific elements need improvement?
3. Are there particular areas you'd like me to focus on in the next iteration?
4. Any additional context or requirements I should know?

### Next Steps:
Please provide your feedback to these questions, and I'll create the next iteration based on your input.

## Current Iteration: 2+
[After receiving human feedback]

### Previous Iteration:
[Summarize previous version]

### Human Feedback Received:
[Summarize the key points from human feedback]

### Refinement Focus:
Based on your feedback, I'll focus on:
- [Specific area of focus 1]
- [Specific area of focus 2]
- [Specific area of focus 3]

### Refined Version:
[Generate improved version addressing the feedback]

### Reflection Questions for Next Iteration:
1. How well does this iteration address your feedback?
2. What aspects still need refinement?
3. Any new directions or considerations for the next iteration?

### Next Steps:
Please provide your feedback, and I'll refine further in the next iteration.

## Using Latitude's Prompt Manager

1. **Create a Chain Prompt**:
   - Set up a multi-step chain prompt in Latitude's Prompt Manager
   - Configure the initial prompt step with the project requirements
   - Design later steps to explicitly ask for and incorporate feedback

2. **Interactive Sessions**:
   - Use interactive sessions in the Latitude Playground where you can:
     - See the AI's initial draft
     - Provide feedback in response to the reflection questions
     - Watch as the AI incorporates your feedback in the next iteration
     - Continue the refinement cycle until satisfied

3. **Saving Iteration History**:
   - Use Latitude's version control to save different iterations
   - Create variations of prompts for different refinement approaches
   - Compare outputs across iterations to track improvement

4. **Feedback Integration Methods**:
   - Direct input: Respond to the AI's questions in the conversation interface
   - Parameter updates: Adjust prompt parameters between iterations
   - Context augmentation: Add new reference materials as context for refinement

---
provider: OpenAI
model: gpt-4o
temperature: 0.8
---

<step>
# Initial Draft Creation

Create an initial response to the following task:

## Task:
{{ task_description }}

## Initial Approach:
[Describe your initial approach to this task]

## Initial Draft:
[Create your first version response to the task]
</step>

<step>
# Divergent Exploration

Generate three significantly different alternatives to your initial draft:

## Alternative 1 - Different Perspective:
[Create a version that approaches the task from a completely different angle]

## Alternative 2 - Different Style:
[Create a version with a notably different style, tone, or structure]

## Alternative 3 - Different Scope:
[Create a version that either narrows focus significantly or broadens scope]
</step>

<step>
# Comparative Analysis

Analyze the strengths and weaknesses of each version:

## Initial Draft Analysis:
- Strengths: [List key strengths]
- Weaknesses: [List key weaknesses]

## Alternative 1 Analysis:
- Strengths: [List key strengths]
- Weaknesses: [List key weaknesses]

## Alternative 2 Analysis:
- Strengths: [List key strengths]
- Weaknesses: [List key weaknesses]

## Alternative 3 Analysis:
- Strengths: [List key strengths]
- Weaknesses: [List key weaknesses]

## Strongest Elements:
[Identify the strongest elements across all versions]
</step>

<step>
# Convergent Synthesis

Create a new version that integrates the strongest elements from all previous versions:

## Integration Strategy:
[Explain how you'll combine the best elements]

## Synthesized Draft:
[Create a new version that incorporates the best aspects of all previous versions]
</step>

<step>
# Final Refinement

Apply final improvements to the synthesized draft:

## Final Improvements:
[Identify specific aspects that still need enhancement]

## Final Version:
[Produce the final polished version]

## Process Reflection:
[Briefly explain how the diverge-converge process led to a better result than linear refinement]
</step>

---
provider: OpenAI
model: gpt-4o
temperature: 0.7
---

<step>
# Initial Content Generation

Create initial content based on the following parameters:

## Content Request:
{{ content_request }}

## Initial Content:
[Generate your first version]

## Initial Assessment:
[Evaluate the quality on a scale of 1-10 for each of these dimensions:]
- Accuracy: [1-10]
- Clarity: [1-10]
- Completeness: [1-10]
- Engagement: [1-10]
- Style appropriateness: [1-10]
</step>

<step as="assessment_results" schema={{{
  type: "object",
  properties: {
    lowest_dimension: {
      type: "string",
      enum: ["accuracy", "clarity", "completeness", "engagement", "style"]},
      needs_major_revision: {
        type: "boolean"
      }
    },
    required: ["lowest_dimension", "needs_major_revision"]
}}}>
# Refinement Strategy Determination

Analyze the initial assessment and determine the refinement strategy:

## Dimension Analysis:
- Lowest-scoring dimension: [identify the dimension with lowest score]
- Required revision level: [major/minor]

## Strategy Decision:
Based on this analysis, determine:
1. Which dimension needs the most improvement: [select from accuracy, clarity, completeness, engagement, style]
2. Whether this requires major revision: [true/false]
</step>

{{ if assessment_results.needs_major_revision }}
  <step>
    # Major Revision

    Completely rework the content focusing on {{ assessment_results.lowest_dimension }}:

    ## {{ assessment_results.lowest_dimension }} Issues:
    [Identify specific issues with this dimension]

    ## Revised Approach:
    [Describe a significantly different approach focusing on this dimension]

    ## Majorly Revised Content:
    [Generate a substantially revised version]
  </step>
{{ else }}
  <step>
    # Targeted Enhancement

    Enhance the content with specific focus on {{ assessment_results.lowest_dimension }}:

    ## {{ assessment_results.lowest_dimension }} Enhancements:
    [Identify specific improvements for this dimension]

    ## Enhanced Content:
    [Generate an improved version with targeted enhancements]
  </step>
{{ endif }}

<step>
# Final Balance and Polish

Now ensure all dimensions are balanced and apply final polish:

## Balance Assessment:
[Briefly assess the balance across all quality dimensions]

## Final Improvements:
[Identify any final adjustments needed]

## Final Polished Content:
[Generate the final version with all refinements applied]
</step>