Prompt Chaining - Stop over-engineering your AI automation: Episode 1
AI Agents are the talk of the town, and rightly so. They are incredible for unpredictable tasks. But for 80% of business automation, you're overcomplicating it. A simple, efficient LLM workflow is often the faster, cheaper, and more reliable answer.
There are times, and most of the times, where a simple automated workflow can do the trick in much lesser of cost & complexity. This series is intended to help you understand if your task fits any of the workflow template, rather than an AI agent.
Define your problem
You need to question yourself, do you need a system that, with the help of an LLMs and tools at its disposal, can swift through a predefined path. Or, you need a system where LLMs dynamically create, direct and execute the processes on the basis of the tools at its disposal? If you are inclined towards the first option, use a workflow, else you need an agent. It can be as simple as that.
Prompt Chaining
Today, I am going to tell you a bit about one of the Workflow type, Prompt Chaining. If you need a workflow where a task can be decomposed into a sequence of steps, where you can add programmatic checks to ensure everything is on track, you can use this workflow.
When to use Prompt Chaining
This workflow should be used where tasks can be easily and cleanly decomposed into fixed sub tasks. Goal is to improve accuracy, while simplifying the process.
Some use cases
- Data extraction & transformation
- Content generation with specific structure
- Making marketing copies to ensure they adhere to the provided outline
- Translating content