AWS prescriptive-guidance documentation change

Service: prescriptive-guidance · 2026-07-10 · Documentation low

File: prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/dev-experimenting-experimentation-loops.md

Summary

Updated image path and simplified section link text from 'Optimizing generative AI prompts' to 'Optimizing prompts'

Security assessment

Changes involve asset relocation (image path) and editorial simplification of a link label. No security content modifications or new security guidance introduced.

Diff

diff --git a/prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/dev-experimenting-experimentation-loops.md b/prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/dev-experimenting-experimentation-loops.md
index 73ba3586a..43544bae5 100644
--- a//prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/dev-experimenting-experimentation-loops.md
+++ b//prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/dev-experimenting-experimentation-loops.md
@@ -11 +11 @@ The core of any successful generative AI PoC is a robust and repeatable developm
-![An experimentation and evaluation loop for generative AI.](/images/prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/images/experimentation-loop.png)
+![An experimentation and evaluation loop for generative AI.](/images/prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/images/guide-img/5b6a3e4a-ff13-48e9-83d7-177629049c97/images/55b0c3dd-c800-4320-959d-6d29df691dee.png)
@@ -62 +62 @@ For more information about experiment tracking, see [Role of Experiment Tracking
-  * **Optimization mechanism** – The final, most advanced stage of the loop involves feeding the evaluation results back into an automatic prompt-optimization component. This system can analyze failures and suggest or automatically generate a new, improved prompt version. You then check this prompt into the prompt management system to begin the next iteration. This creates a powerful, data-driven feedback mechanism that accelerates the path to a high-quality application. Automatic prompt optimization is discussed in more detail in the [Optimizing generative AI prompts](./dev-experimenting-prompt-optimization.html) section of this guide.
+  * **Optimization mechanism** – The final, most advanced stage of the loop involves feeding the evaluation results back into an automatic prompt-optimization component. This system can analyze failures and suggest or automatically generate a new, improved prompt version. You then check this prompt into the prompt management system to begin the next iteration. This creates a powerful, data-driven feedback mechanism that accelerates the path to a high-quality application. Automatic prompt optimization is discussed in more detail in the [Optimizing prompts](./dev-experimenting-prompt-optimization.html) section of this guide.