diff --git a/README.md b/README.md
index 6d05fb4..faf0a98 100644
--- a/README.md
+++ b/README.md
@@ -16,17 +16,24 @@ cp .env.example .env
 
 ### LLM Provider Configuration
 
-The agent can use either OpenAI's GPT-4o, a local LLM via Ollama, or Google Gemini. Set the `LLM_PROVIDER` environment variable in your `.env` file to choose the desired provider:
+The agent can use either OpenAI's GPT-4o, Google Gemini, or a local LLM via Ollama. Set the `LLM_PROVIDER` environment variable in your `.env` file to choose the desired provider:
 
 - `LLM_PROVIDER=openai` for OpenAI's GPT-4o
-- `LLM_PROVIDER=ollama` for the local LLM via Ollama (not recommended for this use case)
 - `LLM_PROVIDER=google` for Google Gemini
+- `LLM_PROVIDER=ollama` for the local LLM via Ollama (not recommended for this use case)
 
-### OpenAI Configuration
+### Option 1: OpenAI Configuration
 
 If using OpenAI, ensure you have an OpenAI key for the GPT-4o model. Set this in the `OPENAI_API_KEY` environment variable in `.env`.
 
-### Ollama Configuration
+### Option 2: Google Gemini
+
+To use Google Gemini:
+
+1. Obtain a Google API key and set it in the `GOOGLE_API_KEY` environment variable in `.env`.
+2. Set `LLM_PROVIDER=google` in your `.env` file.
+
+### Option 3: Local LLM via Ollama (not recommended)
 
 To use a local LLM with Ollama:
 
@@ -38,13 +45,6 @@ To use a local LLM with Ollama:
 
 Note: The local LLM is disabled by default as ChatGPT 4o was found to be MUCH more reliable for this use case. However, you can switch to Ollama if desired.
 
-### Google Gemini Configuration
-
-To use Google Gemini:
-
-1. Obtain a Google API key and set it in the `GOOGLE_API_KEY` environment variable in `.env`.
-2. Set `LLM_PROVIDER=google` in your `.env` file.
-
 ## Agent Tools
 * Requires a Rapidapi key for sky-scrapper (how we find flights). Set this in the `RAPIDAPI_KEY` environment variable in .env
     * It's free to sign up and get a key at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)