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FAQ: How do I use Prompt Chaining in workflows?

  • 29 April 2024
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FAQ: How do I use Prompt Chaining in workflows?

 

 

AI is becoming increasingly capable of assisting with complex business workflows. However, asking an AI model to complete an entire workflow in one step often leads to inconsistent or low-quality results. That's where prompt chaining comes in.

Prompt chaining involves breaking down a workflow into discrete, sequential steps. Each step focuses the AI on a singular task, allowing it to concentrate its full capabilities. The outputs from each step are then passed along to subsequent steps.

Benefits of Prompt Chaining

Prompt chaining offers several advantages:

  • Improved consistency: Focusing an AI model on singular tasks increases success rates to 100% for each step. Failures don't compound across steps.

  • Higher quality: The AI can dedicate all its reasoning and creativity to each sub-task. It's not distracted trying to do too much at once.

  • Modularity: Steps can be reordered, added, or removed easily to customize workflows.

  • Flexibility: Different AI models can be selected for each step based on their strengths. Slow but high quality models can be used for reasoning tasks while fast, low-cost models extract basic info.

Real-World Use Cases

Prompt chaining unlocks many applications for AI workflows:

  • Lead scoring - Extract info from profiles, infer interests/needs, and generate scores.

  • Writing emails - Mine profiles for key details and then craft customized outreach.

  • Preparing for meetings - Automatically research connections and create briefing summaries.

  • Personalization - Tailor prompts and models to specific users or customers.

Optimizing Workflows

When implementing prompt chained workflows, consider:

  • Speed vs quality tradeoffs - Use faster models for synchronous interactions, slower high-quality models for asynchronous workflows.

  • Monitoring results - Check which steps produce good outputs with minimal models. Invest in heavier models where needed.

  • Iterating prompts - Refine prompts for each step to provide enough context and steer the AI.

Prompt chaining unlocks the true potential of AI workflows. Take advantage of this technique to automate complex business processes with flexibility, consistency, and quality.

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