AI Workflows Made Smarter
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Introduction to AI Workflows
You're guilty of tokenmaxxing - letting an agent harness take the reins for every workflow. But it's not always the cheapest or smartest way to go. Conventional automation handles determinism more reliably than AI. And it's also less expensive.
What is Determinism?
Determinism means the same input produces the same output every time. This is crucial for certain tasks, like data processing or report generation. AI can't guarantee determinism, which is why conventional automation is still the better choice for these tasks.
When to Use AI
But AI is not all bad. It's perfect for tasks that require agentic AI steps, like decision-making or data analysis. AI can process large amounts of data quickly and accurately, making it a valuable tool for certain workflows.
How to Add Agentic AI Steps
So, how do you add agentic AI steps to your workflows? Here are the steps:
- Identify the tasks that require AI.
- Determine the input and output for each task.
- Use a tool like Zapier to connect your AI to your workflow.
- Test and refine your workflow to ensure it's working as expected.
The Cost of AI
One of the biggest advantages of using conventional automation is the cost. AI can be expensive, especially if you're using a lot of it. But by using AI only when necessary, you can save money and make your workflows more efficient.
The Verdict
Don't let AI run your workflows. Use conventional automation for determinism and AI for agentic AI steps. By doing so, you'll save money and make your workflows more efficient. It's not about abandoning AI altogether, but about using it where it makes sense.
