Making Prompts Robust and Ready for Re-Use
A free video from our Business course!
Good morning!
A few weeks ago, I shared a video from our AI for Business course covering LLMs' limitations to be careful of. This week, again from our recent AI for Business course, we show step by step how to turn “good-enough” prompts into rock-solid, reusable tools.
You’ll learn a simple workflow—experiment, A/B test, and systematically evaluate with “LLM-as-a-judge”—to make outputs more reliable across models like ChatGPT, Claude, and Gemini.
We illustrate the process with a real case study: refining prompts that summarize NVIDIA’s Q4 2025 earnings call, catching hallucinations, and iterating until the summary is precise, structured, and ready to deploy at scale.
The takeaway: prompt design is a continuous improvement loop, and the right testing habits let you recycle prompts, save time, and ship trustworthy AI results company-wide.
Watch the video:
🚀 Ready to actually use AI at work—without needing to code?
If you’re a business professional who wants to lead with AI instead of watching from the sidelines, this course is for you. You’ll learn how to:
Use tools like ChatGPT, Claude, Gemini, and Perplexity effectively
Master prompting, reasoning, and no-code workflows
Automate research, writing, analysis, and team tasks
Create custom AI solutions that save hours every week
Drive smart, strategic AI adoption in your team or company
👉 Join the July cohort for our kick-off call of the “AI for Business Professionals” course here: https://academy.towardsai.net/courses/ai-business-professionals?ref=1f9b29
No technical background needed. Just real-world AI skills designed to boost your output, leadership, and career.