diff --git a/examples/quick-start-llm/Makefile b/examples/quick-start-llm/Makefile
index c4d7ea439f..07327cd882 100644
--- a/examples/quick-start-llm/Makefile
+++ b/examples/quick-start-llm/Makefile
@@ -22,4 +22,4 @@ stop: ## stop all running containers
 	@docker compose down
 
 test: ## run e2e tests
-	@npx playwright test
+	@tracetest run -f ./tests/run-gemini.yaml
diff --git a/examples/quick-start-llm/README.md b/examples/quick-start-llm/README.md
index 1675515883..d80f92749b 100644
--- a/examples/quick-start-llm/README.md
+++ b/examples/quick-start-llm/README.md
@@ -2,7 +2,15 @@
 
 This is an example of a simple LLM app that uses the `langchain` library to summarize the content of a URL, based on [this example](https://github.com/alphasecio/langchain-examples/tree/main/url-summary)
 
-### Starting new env from scratch
+### Running example with docker
+
+```bash
+make start/on-docker
+```
+
+### Running example with locally
+
+#### Setting up the environment
 
 ```bash
 
@@ -20,14 +28,19 @@ opentelemetry-bootstrap -a install
 
 # add openai api key
 echo "OPENAI_API_KEY={your-open-ai-api-key}" >> .env
+# add google gemini api key
+echo "GOOGLE_API_KEY={your-google-gemini-api-key}" >> .env
+
+# add tracetest agent keys
+echo "TRACETEST_API_KEY={your-tracetest-api-key}" >> .env
+echo "TRACETEST_ENVIRONMENT_ID={your-tracetest-env-id}" >> .env
 ```
 
-### Run example
+#### Running the apps
 
 ```bash
-OTEL_SERVICE_NAME=quick-start-llm \
-OTEL_TRACES_EXPORTER=console,otlp \
-OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=localhost:4317 \
-opentelemetry-instrument \
-  streamlit run ./app/streamlit_app.py
+
+make start/local-ui
+make start/local-api
+
 ```
diff --git a/examples/quick-start-llm/app/llm/provider_openai_chatgpt.py b/examples/quick-start-llm/app/llm/provider_openai_chatgpt.py
index 63cf01b821..9bcef05763 100644
--- a/examples/quick-start-llm/app/llm/provider_openai_chatgpt.py
+++ b/examples/quick-start-llm/app/llm/provider_openai_chatgpt.py
@@ -20,7 +20,7 @@ def summarize(self, text):
       raise ValueError("Please provide the OpenAI API Key on a .env file.")
 
     llm = ChatOpenAI(
-      model="gpt-3.5-turbo-instruct",
+      model="gpt-4o-mini",
       openai_api_key=openai_api_key
     )