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dagster-io · Jan 23, 2025 · 2ae6df3 · 2ae6df3
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diff --git a/docs/docs-beta/docs/tutorials/category-two/prompt-engineering/custom-resource.md b/docs/docs-beta/docs/tutorials/category-two/prompt-engineering/custom-resource.md
@@ -6,7 +6,7 @@ last_update:
 sidebar_position: 40
 ---
 
-With an output in our desired schema, we can use the NREL API to lookup nearby alternative fuel stations. The NREL API is a standard REST API. In Dagster, we will create a resource with a single method to retrieve fuel stations. This method (`alt_fuel_stations`) will take in the three parameters from our prompt engineering asset (latitude, longitude, and fuel type).
+With an output in our desired schema, we can use the [NREL](https://www.nrel.gov/) API to lookup nearby alternative fuel stations. The NREL API is a standard REST API. In Dagster, we will create a resource with a single method to retrieve fuel stations. This method (`alt_fuel_stations`) will take in the three parameters from our prompt engineering asset (latitude, longitude, and fuel type).
 <CodeExample path="project_prompt_eng/project_prompt_eng/resources.py" language="python" lineStart="4" lineEnd="27"/>
 
 Now we can use our custom resource in another asset (`nearest_fuel_station`) and query the API. The [reponse of the API](https://developer.nrel.gov/docs/transportation/alt-fuel-stations-v1/nearest/#fuel-station-record-fields) gives some very rich data about these fuel stations. One field that would be particularly interesting for the user is `access_days_time` which shows when the fuel station is open.

diff --git a/docs/docs-beta/docs/tutorials/category-two/prompt-engineering/index.md b/docs/docs-beta/docs/tutorials/category-two/prompt-engineering/index.md
@@ -10,7 +10,7 @@ sidebar_position: 10
 In this tutorial, you'll build a pipeline with Dagster that:
 
 - Takes an input question
-- Generates prompts to use with Anthropic
+- Generates prompts to use with [Anthropic](https://www.anthropic.com/)
 - Validates outputs of AI models and passes outputs across assets
 
 <details>
@@ -27,7 +27,7 @@ To follow the steps in this guide, you'll need:
 
 First, set up a new Dagster project.
 
-1. Within the Dagster repo, navigate to the project:
+1. Clone the the [Dagster repo](https://github.com/dagster-io/dagster) and navigate to the project:
 
    ```bash
    cd examples/project_prompt_eng