# Amazon — Prompt engineering fundamentals for Amazon Quick

- Company: Amazon (amazon.com)
- Announced: 2026-09-29T16:27:57+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/prompt-engineering-fundamentals-for-amazon-quick/
- Record: https://forck.live/items/15007-prompt-engineering-fundamentals-for-amazon-quick
- Subject: Bedrock / Nova

Amazon's guide explains foundational prompt engineering principles for Amazon Quick, covering specificity, context, few-shot examples, and the CRISPE framework to improve AI output quality. It is Part 1 of a two-part series, with Part 2 planned for component-specific techniques.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/prompt-engineering-fundamentals-for-amazon-quick/:

> In this post, you will learn the foundational principles and structured frameworks that produce consistent, high-quality results across the AI capabilities in Amazon Quick.

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