diff --git a/ci/vale/styles/config/vocabularies/nat/accept.txt b/ci/vale/styles/config/vocabularies/nat/accept.txt
index 89819881b..3df7f79e8 100644
--- a/ci/vale/styles/config/vocabularies/nat/accept.txt
+++ b/ci/vale/styles/config/vocabularies/nat/accept.txt
@@ -102,6 +102,7 @@ onboarding
 [Oo]verfitting
 pandas
 [Pp]arallelization
+Pareto
 [Pp]arsable
 Patronus
 PCIe
diff --git a/examples/evaluation_and_profiling/email_phishing_analyzer/README.md b/examples/evaluation_and_profiling/email_phishing_analyzer/README.md
index 65f3e48aa..02620d10c 100644
--- a/examples/evaluation_and_profiling/email_phishing_analyzer/README.md
+++ b/examples/evaluation_and_profiling/email_phishing_analyzer/README.md
@@ -206,10 +206,14 @@ Ensure `NVIDIA_API_KEY` is set in your environment.
 
 ### Outputs
 Results are written to the path specified by `optimizer.output_path`. Expect artifacts such as:
-- `best_params.json`: Highest-scoring parameter set.
-- `optimization_results.json`: Per-trial metrics and parameters.
-- `pareto_front.png`, `optimization_history.png`, `param_importances.png`: Visual summaries.
-- For prompt optimization (when enabled): `optimized_prompts.json` and per-generation prompt history.
+- `optimized_config.yml`: Tuned configuration derived from the selected trial.
+- You will also see a configuration file for each iteration of numeric trials. For example, `config_numeric_trial_0.yml`
+  will contain the configuration for the first numeric trial. This is helpful for selecting specific trials whose metrics
+  you may prefer to the optimizer selected trial.
+- `trials_dataframe_params.csv`: Full Optuna trials `dataframe` (`values`, `params`, `timings`, `rep_scores`).
+- `plots`: This directory will contain Pareto visualizations of the optimization results.
+- For prompt optimization (when enabled): `optimized_prompts.json` and per-generation prompt history. Per generation prompt
+  history files are named `optimized_prompts_gen{N}.json` where `{N}` is the generation number starting from 1. 
 
 ---