diff --git a/automation-api/notebooks/exploration-notebook.py b/automation-api/notebooks/exploration-notebook.py
index ce818e0..13041db 100644
--- a/automation-api/notebooks/exploration-notebook.py
+++ b/automation-api/notebooks/exploration-notebook.py
@@ -6,7 +6,7 @@
 #       extension: .py
 #       format_name: light
 #       format_version: '1.5'
-#       jupytext_version: 1.14.7
+#       jupytext_version: 1.15.2
 #   kernelspec:
 #     display_name: gapminder-ai-automation-api
 #     language: python
diff --git a/automation-api/pyproject.toml b/automation-api/pyproject.toml
index e321191..2c2b8eb 100644
--- a/automation-api/pyproject.toml
+++ b/automation-api/pyproject.toml
@@ -89,6 +89,9 @@ test = ["pytest", "lint"]
 pytest = "pytest --cov=lib --verbose tests/"
 lint = { shell = "find . -type d -name '.venv*' -prune -o -type f -name '*.py' -print0 | xargs -0 pre-commit run --files" }
 install_kernel = "python -m ipykernel install --user --name gapminder-ai-automation-api"
+set_jupytext_as_default_viewer = "jupytext-config set-default-viewer"
+jupyter = 'jupyter-notebook'
+notebooks = ["install_kernel", "set_jupytext_as_default_viewer", "jupyter"]
 fetch_questions = "python yival_experiments/scripts/fetch_questions.py"
 generate_experiment_config = "python yival_experiments/scripts/generate_experiment_config.py"
 generate_results_file = "python yival_experiments/scripts/generate_results.py"
diff --git a/automation-api/yival_experiments/README.md b/automation-api/yival_experiments/README.md
index 5d03b90..80c2925 100644
--- a/automation-api/yival_experiments/README.md
+++ b/automation-api/yival_experiments/README.md
@@ -73,7 +73,15 @@ TODO: We can add a custom evaluator in Yival to calculate the final scores.
 
 ## 8. Calculate scores, upload results to AI Eval Spreadsheet
 
-Two notebooks in notebooks/ directory are provided for calculating scores.
+Two notebooks in `./yival_experiments/notebooks/` directory are provided for calculating scores.
 
 - final_scores.py: calculate a final score for each model and prompt
 - upload_to_ai_eval_sheet.py: generate the result table and upload to the `Latest Results` sheet in AI Eval Spreadsheet
+
+Start Jupyter:
+
+```shell
+poe notebooks
+```
+
+Then open the notebooks in the browser and run them.