diff --git a/index.md b/index.md
index 432274ea53..8f3eb27183 100644
--- a/index.md
+++ b/index.md
@@ -8,7 +8,7 @@ permalink: /
![Texto alternativo](/assets/images/flamapy_horizontal_logo_white.svg){: .center }
-The cutting-edge Python-based tool for Automated Analysis of Feature Models (AAFM) with advanced multi-solver and multi-metamodel capabilities
+The cutting-edge Python-based tool for Automated Analysis of Feature Models using UVL and more
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@@ -19,29 +19,55 @@ The cutting-edge Python-based tool for Automated Analysis of Feature Models (AAF
---
-### Easily Extensible
+# Easily extensible
+### Plugin generator
+Simplifies the process of creating new plugins with a semi-automatic generator, making customization and expansion straightforward.
-* **Plugin Generator**: Simplifies the process of creating new plugins with a semi-automatic generator, making customization and expansion straightforward.
-* **Variability in Models**: Initially supports cardinality-based feature models, with the flexibility to easily incorporate other types like attributed feature models.
+### Variability modelling in the wild
+Initially supports cardinality-based feature models, with the flexibility to easily incorporate other types like attributed feature models.
-### Robust Solver Support
-* **PySAT Integration**: Utilizes the PySAT metasolver, offering access to more than ten distinct solvers. This diversity allows for optimal solution finding across various complex scenarios.
+# Robust solver support
-* **BDD Integration**: Utilizes the CU-BDD metasolver, offering efficient variability model analysis for some operations.
+### PySAT integration
+Utilizes the PySAT metasolver, offering access to more than ten distinct solvers. This diversity allows for optimal solution finding across various complex scenarios.
-### Easy to use, easy to integrate
+### BDD integration
+Utilizes the CU-BDD metasolver, offering efficient variability model analysis for some operations.
-* **Easy-to-usa facade**: Designed with capabilities to analyse modes in python with just a line of code.
-* **Command line direct use**: Easy to inegrate in any ecosystem.
-* **WASM support**: Run analysis in your browser. Currently, both flamapy and pysat are wasm compatible. Enable analysis with 0 configuration process.
-* **REST/SWAGGER available**: Integrate the tool in yours by means of a robust backend Rest API.
- Examples of operations include:
- - **Dead features**: Identify features that are no longer in use.
- - **Void features**: Determine if a feature model is void. A feature model is considered void if it represents no products, often due to incorrect usage of cross-tree constraints.
- - **Valid product**: Validate whether a product (i.e., a set of features) belongs to the set of products represented by a feature model. This involves checking if the product conforms to the constraints and structure of the feature model.
- - **All products**: Generate a complete list of all products.
- - **Filter**: This operation takes as input a feature model and a configuration (potentially partial) and returns the set of products including the input configuration that can be derived from the model. Note that this operation does not modify the feature model itself.
+
+# Easy to use, easy to integrate
+
+### Easy-to-use python facade
+Designed with capabilities to analyse modes in Python with just a line of code.
+
+### Command line direct use
+Easy to integrate in any ecosystem.
+
+### WASM support
+Run analysis in your browser. Currently, both {% include flamapy.html %} and PySAT are WASM compatible. Enable analysis with 0 configuration process.
+
+### REST / SWAGGER available
+Integrate the tool in yours by means of a robust backend Rest API.
+
+# Large set of operations
+
+Examples of operations include:
+
+#### **Dead features**
+Identifies features that cannot be included in any valid configuration due to constraints and dependencies in the model.
+
+#### **Core features**
+Identifies features that are present in all valid configurations of the feature model.
+
+#### **Estimated number of configurations**
+Provides an estimate of the total number of different configurations that can be produced from a feature model by considering all possible combinations of features.
+
+#### **Atomic Sets**
+This operation identifies atomic sets in a feature model. An atomic set is a group of features that always appear together across all configurations of the model.
+
+#### **Filter**
+This operation filters and selects a subset of configurations based on specified criteria. It helps in narrowing down the possible configurations to those that meet certain requirements.
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diff --git a/try-it/wasm_uvl_analisis.md b/try-it/wasm_uvl_analisis.md
index 1148af8d4c..34ae1d0be8 100644
--- a/try-it/wasm_uvl_analisis.md
+++ b/try-it/wasm_uvl_analisis.md
@@ -17,7 +17,7 @@ WebAssembly (often abbreviated as WASM) is a binary instruction format designed
The textarea below is intented to write a UVL file than can be later analyzed:
{: .important }
-> Currenlty this website does not support linter in the text area. Take a look con dev console if there is any parsing error of your text (tabs are difficult to be writen in a browser)
+> Currently, this website does not support linter in the text area. Take a look at the dev console to see if there is any parsing error in your text (tabs are difficult to write in a browser)