> ## Documentation Index
> Fetch the complete documentation index at: https://docs.omnifact.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Chaining Prompts for Multi-Step Workflows

> Learn to break complex business processes into a series of connected prompts that build on each other.

You've mastered writing individual prompts—now it's time to tackle bigger business challenges by connecting multiple prompts together. Think of this as upgrading from single tasks to complete workflows.

## What is Prompt Chaining?

Prompt chaining is like creating a work process—each step builds on the previous one to create a complete solution. Instead of asking AI to do everything at once, you guide it through a logical sequence of steps, just like you would with a human team member.

### Simple Example:

Instead of: *"Analyze this sales report and create a presentation for executives"*

Try this approach:

1. **Step 1**: *"Summarize the key findings from this sales report"*
2. **Step 2**: *"Based on these findings: \[paste summary], identify the top 3 issues executives should focus on"*
3. **Step 3**: *"Create presentation talking points for these 3 issues: \[paste issues]"*

## Why Use Prompt Chaining?

<CardGroup cols={2}>
  <Card title="Better Results" icon="chart-line">
    • AI focuses on one task at a time <br />
    • Each step builds on quality output <br />
    • Easy to catch and fix mistakes early
  </Card>

  <Card title="More Control" icon="sliders">
    • See exactly what AI is thinking <br />
    • Adjust the process as you go <br />
    • Break complex tasks into manageable steps
  </Card>
</CardGroup>

## Planning Your Prompt Chain

Before you start, think about how you'd solve this problem yourself:

1. **Map the Process** <br />
   What would an expert do step-by-step to complete this task?

2. **Find Natural Break Points** <br />
   Where does one logical step end and another begin?

3. **Plan the Handoffs** <br />
   What information needs to pass from one step to the next?

## Common Business Workflow Patterns

<Tabs>
  <Tab title="Analysis Workflow">
    **Best for**: Research, data analysis, strategic planning

    **Pattern**: Gather → Analyze → Synthesize → Recommend

    **Example**: Competitive Analysis

    1. **Gather**: "Extract key features and pricing from these competitor websites"
    2. **Analyze**: "Compare our features against these competitors: \[paste data]"
    3. **Synthesize**: "Based on this comparison, identify our top 3 competitive advantages and disadvantages"
    4. **Recommend**: "Create specific recommendations for addressing these competitive gaps: \[paste analysis]"
  </Tab>

  <Tab title="Creation Workflow">
    **Best for**: Content creation, document drafting, planning

    **Pattern**: Research → Outline → Draft → Refine

    **Example**: Policy Document Creation

    1. **Research**: "What are the key components that should be included in a remote work policy?"
    2. **Outline**: "Create a detailed outline for our remote work policy covering these components: \[paste components]"
    3. **Draft**: "Write the first draft of our remote work policy using this outline: \[paste outline]"
    4. **Refine**: "Review this policy draft and suggest improvements for clarity and completeness: \[paste draft]"
  </Tab>

  <Tab title="Decision Workflow">
    **Best for**: Evaluations, vendor selection, strategic choices

    **Pattern**: Define → Evaluate → Compare → Decide

    **Example**: Software Vendor Selection

    1. **Define**: "Based on our IT requirements document, create evaluation criteria for selecting a new CRM system"
    2. **Evaluate**: "Rate each of these CRM vendors against our criteria: \[paste criteria and vendor info]"
    3. **Compare**: "Create a comparison matrix showing how each vendor scores: \[paste evaluations]"
    4. **Decide**: "Recommend the top choice with justification based on this analysis: \[paste comparison]"
  </Tab>

  <Tab title="Action Workflow">
    **Best for**: Action planning, project management, task delegation

    **Pattern**: Define → Assign → Track → Review

    **Example**: Project Management

    1. **Define**: "Create a detailed project plan for our new marketing campaign"
    2. **Assign**: "Assign tasks to team members based on their skills and availability: \[paste plan]"
    3. **Track**: "Monitor progress and report status updates: \[paste updates]"
    4. **Review**: "Review final results and provide feedback: \[paste review]"
  </Tab>
</Tabs>

## Advanced Chaining Techniques

<AccordionGroup>
  <Accordion title="Branching Chains">
    Sometimes you need different paths based on intermediate results:

    **Main Chain**: Analyze → Assess Risk Level → **Branch**

    * **If High Risk**: Escalation Protocol → Crisis Response Plan
    * **If Medium Risk**: Monitoring Plan → Regular Updates
    * **If Low Risk**: Standard Process → Routine Follow-up
  </Accordion>

  <Accordion title="Parallel Chains">
    Run multiple chains simultaneously, then combine results:

    **Chain A**: Technical Analysis → Technical Recommendations
    **Chain B**: Business Analysis → Business Recommendations\
    **Synthesis**: Combine both recommendations → Final Strategic Plan
  </Accordion>

  <Accordion title="Iterative Chains">
    Refine results through multiple cycles:

    1. **Draft** → **Review** → **Revise** → **Final Draft**
    2. Repeat until quality meets standards
  </Accordion>
</AccordionGroup>

## Quality Control in Prompt Chains

<CardGroup cols={3}>
  <Card title="Check Each Step">
    When reviewing each step, ensure the output makes sense, contains all necessary information for the next step, and includes no missing key details.
  </Card>

  <Card title="Maintain Consistency">
    Keep the same role/perspective when appropriate, ensure context carries forward properly, and watch for contradictions between steps.
  </Card>

  <Card title="Document Your Process">
    Save successful chains as templates, note what works well for different types of tasks, and track where chains typically break down.
  </Card>
</CardGroup>

## Common Chaining Mistakes

<AccordionGroup>
  <Accordion title="Steps Too Big">
    **Problem**: Trying to do too much in each step <br />
    **Solution**: Break large steps into smaller, focused tasks
  </Accordion>

  <Accordion title="Poor Handoffs">
    **Problem**: Not providing enough context between steps <br />
    **Solution**: Include relevant context from previous steps
  </Accordion>

  <Accordion title="Hitting Context Limits">
    **Problem**: After many steps, the AI starts forgetting earlier instructions or details. <br />
    **Solution**: AI models have a maximum "context window." For very long chains, consider starting a new chat and pasting the most recent synthesized summary as the starting point.
  </Accordion>

  <Accordion title="Editing Previous Messages">
    **Problem**: You edit a message early in the chain to fix a mistake, and lose all subsequent steps. <br />
    **Solution**: Be aware that editing a message in Omnifact removes all following messages in that conversation. If you need to make a correction, it's often better to send a new message with the correction rather than editing an old one.
  </Accordion>

  <Accordion title="Losing the Thread">
    **Problem**: Later steps diverge from the original goal <br />
    **Solution**: Occasionally remind AI of the overall objective
  </Accordion>

  <Accordion title="Over-Chaining">
    **Problem**: Creating unnecessary steps that don't add value <br />
    **Solution**: Test if fewer steps produce similar results
  </Accordion>
</AccordionGroup>

## When to Chain vs. Single Prompts

<CardGroup cols={2}>
  <Card title="Use Chaining When" icon="link">
    • Task has multiple logical phases <br />
    • You need to verify intermediate results <br />
    • Process is complex or high-stakes <br />
    • You want maximum control over output
  </Card>

  <Card title="Use Single Prompts When" icon="file">
    • Task is straightforward <br />
    • You need quick results <br />
    • Risk of errors is low <br />
    • Chaining adds unnecessary complexity
  </Card>
</CardGroup>

<Tip>Start with simple 2-3 step chains, then gradually tackle more complex business processes as you build confidence. The key is thinking systematically about how work gets done, then translating that logic into a series of connected prompts that guide AI through the same expert process a human would follow.</Tip>