Systems: Beyond Simple Prompts
Evaluate a simple LLM system with Scorecard in minutes.
You Already Know Prompts
If you’ve used ChatGPT or any AI tool, you’ve written prompts:
And when you want to improve results, you tweak the prompt:
But Real AI Applications Are More Complex
In production, your AI might:
- Use multiple prompts working together
- Call different models for different tasks
- Adjust temperature, max tokens, and other parameters
- Process inputs through several steps
- Depend on context, rules, and configurations
Suddenly you’re not managing one prompt—you’re juggling an entire system of interconnected pieces.
Enter: Systems
A System captures all the moving parts that affect your AI’s behavior:
- Your prompts (yes, plural!)
- Model selection and parameters
- Processing steps and logic
- Any configuration that changes the output
Instead of tracking these pieces separately, a System bundles them into one testable unit.
A Simple Example
Even a basic joke bot has multiple variables:
Change any configuration, and you get different results. Systems let you test these variations systematically instead of guessing.
Why This Matters
- Everything in one place: No more scattered prompts and configs
- Test combinations: See how different settings work together
- Track what works: Know exactly which configuration is in production
- Scale confidently: From single prompts to multi-step workflows
Your Turn: Build a Joke Bot in 5 Minutes
The best way to understand Systems is to build one. We’ve created a simple example that shows the concept in action:
In just 5 minutes, you’ll see how even a simple AI task benefits from thinking in Systems rather than individual prompts.
Ready to level up from copy-pasting prompts? Systems are how teams build AI that’s reliable, testable, and scalable. Start small with the Joke Bot—the concepts will click immediately.