diff --git a/about.md b/about.md
index 87a4b0b..d85149b 100644
--- a/about.md
+++ b/about.md
@@ -15,10 +15,20 @@ Based in [PrefSPEC: Performance Profiling-based Proactive Security Policy Enforc
  <a target="_blank" href="perfspec-learning/src/branch/main/presentacion.pdf"><img src="imgs/prefSPEC-learning.png" width="800"></a>
 </div>
 
-
 # What is done so far ? 
 
-- [X] 
+- [X] Good look and feel and interactions among processing, analisys and presentation
+- [X] Using better software packages management 
+- [X] A notebook open lyke [Marimo](https://marimo.io/) to support alternative dataframes engines like [Polars](https://pola.rs/) rather than [Pandas](https://pandas.pydata.org/) 
+- [X] Use settings and structures to play with different settins and options 
+- [X] Implement a customize [LSTM](https://en.wikipedia.org/wiki/Long_short-term_memory) within notebooks
+- [X] Use notebooks as python scripts for command-line use cases like collect predictions or automatic train models
+- [X] Use [Dry](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself) to reuse code and centralize common tasks like settings or loading resources. This is main use and existence of [lib_perfspec.py](learning/python/lib_perfspec.py)
+- [X] Spliting basic tasks among seveal specific **notebooks**: 
+    - **Preprocessing data** collection to generate clean and usefull (critical actions) info to train models and ranking [prepare_perfspec.py](learning/python/prepare_perfspec.py)
+    - **Train models** to get predictions [train_perfspec.py](learning/python/train_perfspec.py)
+    - **Get predictions** from existing models [run_perfspec.py](learning/python/run_perfspec.py)
+    - **Review and analisys** trained models for better results [model_perfspec.py](learning/python/model_perfspec.py) 
 
 # Plans 
 
diff --git a/install.md b/install.md
index 394a644..f1b0067 100644
--- a/install.md
+++ b/install.md
@@ -82,13 +82,13 @@ For **data**  use [data_sample.tar.xc](https://repo.jesusperez.pro/jesus/perfspe
 
 ```
 tar xvJf data_sample.tar.xz 
-````
+```
 
 For trained models use [models_sample.tar.xz](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/models_sample.tar.xz)
 
 ```
 tar xvJf models_sample.tar.xz 
-````
+```
 
 Raw log file [raw-audit-logs.log.xz](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/raw-audit-logs.log.xz) is included in **data** directory