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Best Practices for Prompt Engineering in the Enterprise

Blog: Learn Machine Learning from a Google AI Engineer

Best Practices for Prompt Engineering in the Enterprise

Alright, we’ve covered a ton of ground in this AI Prompt Engineering blog series, from understanding the basics of LLMs and prompt engineering to diving deep into specific techniques and strategies. Now, it’s time to bring it all together and share some of the best practices I’ve learned while working on real-world enterprise projects.

This is the last blog of the series: Prompt engineering for business applications. Prompt Engineering is complex and requires careful planning and refinement to achieve desired results from AI models. As a software engineer @Google with experience in prompt engineering for major businesses, I will share practical learnings in a blog series to help others unlock the power of AI beyond simple tasks.

The Art of Writing Effective Prompts

Whether you are writing a prompt to let the LLM or AI answer a question from a contract, summariz...
Documenting Your Prompts a Best Practice for Success

Let’s be real; documenting stuff isn’t the most exciting part of any job. But when it comes to pr...
Beyond the Basics How to Choose and Configure Your LLM for Maximum Impact

When it comes to AI prompt engineering, the choice of language model (LLM) is crucial. Each promp...
The Foundation Understanding LLMs and Prompt Engineering, and Why It All Matters

Let’s get down to basics and talk about how Large Language Models (LLMs) actually work. Think of ...
Disclaimer: The opinions stated here are my own, not those of my company. - 2025 ® Lee Boonstra