Short answer
Prompt engineering is the practice of writing and structuring instructions for an AI model so it produces accurate, consistent and useful results. It covers giving context, examples, format requirements and rules, and is the main way teams configure AI agents and prompt templates.
Prompt Engineering explained
Good prompts state the role and goal, supply relevant data, give examples of good output, specify the format, and set boundaries such as what not to do. In Salesforce, prompt templates in Prompt Builder ground prompts in record data; in HubSpot and Claude, saved prompts, Projects and skills make good prompts reusable.
Prompts should be tested and versioned like code, because small wording changes can change results.
How Vantage Point helps: we write, test and maintain prompts and prompt templates for CRM use cases, and train teams to write their own.
Frequently asked questions
Is prompt engineering still needed with newer models?
Yes. Newer models need less trickery, but clear context, examples and constraints still make a large difference to quality and consistency.
What is a prompt template?
A reusable prompt with placeholders that are filled with record data, such as Salesforce Prompt Builder templates.