diff --git a/run.ts b/run.ts
index fd3a751..ab114ec 100644
--- a/run.ts
+++ b/run.ts
@@ -44,7 +44,7 @@ engineInstance.isContentSafe(prompt).then((result) => {
   console.log('Is content safe?', result);
 });
 
-
+/*
 // Get suggestions with GlobalSymbols
 engineInstance
   .getSuggestions({
@@ -58,8 +58,23 @@ engineInstance
       "\nSuggestions -----------------------------------------------\n",
       suggestions,
       "length: " + suggestions.length
-    )
+    )    
   );
+*/
+
+engineInstance
+  .getFullBoard({
+    prompt,
+    maxSuggestions,
+    symbolSet,
+    language,
+  })
+  .then((board) =>
+    console.log(
+      "\nFull board \n",
+      board
+    )
+);
 
 /*
 // Get suggestions with GlobalSymbol and Pictonizer images
diff --git a/src/engine.ts b/src/engine.ts
index 7d687c0..f44c222 100644
--- a/src/engine.ts
+++ b/src/engine.ts
@@ -22,6 +22,7 @@ export type Suggestion = {
   id: string;
   label: string;
   locale: string;
+  category?: string;
   pictogram: {
     isAIGenerated: boolean;
     images:
@@ -52,6 +53,11 @@ export type ContentSafetyConfiguration = {
   key: string;
 };
 
+export type Board = {
+  boardTitle: string;
+  pictos: Suggestion[];
+};
+
 export function init({
   openAIConfiguration,
   globalSymbolsApiURL,
@@ -83,9 +89,11 @@ export function init({
     pictonizer,
     getSuggestionsAndProcessPictograms,
     isContentSafe,
+    getFullBoard,
   };
 }
 
+//Using a prompt get a list of suggested words.
 async function getWordSuggestions({
   prompt,
   maxWords,
@@ -129,6 +137,7 @@ async function getWordSuggestions({
   throw new Error("ERROR: Suggestion list is empty");
 }
 
+//Based on a list of words fetch the Pictogram URL from GlobalSymbols API
 async function fetchPictogramsURLs({
   words,
   symbolSet,
@@ -254,6 +263,7 @@ async function processPictograms(
   return suggestionsWithAIImage;
 }
 
+//Get suggested Pictograms based on a prompt.
 async function getSuggestions({
   prompt,
   maxSuggestions = DEFAULT_MAX_SUGGESTIONS,
@@ -276,7 +286,6 @@ async function getSuggestions({
       symbolSet,
       language,
     });
-
   return suggestionsWithGlobalSymbolsImages;
 }
 
@@ -303,6 +312,7 @@ const getSuggestionsAndProcessPictograms = async ({
   return suggestionsWithAIImages;
 };
 
+//Use Azure ContentSafety API to check if a string is safe for all users.
 async function isContentSafe(
   textPrompt: string,
   ): Promise<boolean> {
@@ -328,3 +338,127 @@ async function isContentSafe(
     }
      
 }
+
+
+//Using a list of words get a descriptive title.
+async function getBoardTitle( 
+  words: string[],
+  language: string
+): Promise<string> {
+  const max_tokens = Math.round(2 * words.length + 110);
+  const completionRequestParams = {
+    model: "gpt-3.5-turbo-instruct",
+    prompt: `act as a speech pathologist in language ${language} 
+      usign this list of words {${words}} create a descriptive title for a communication board. 
+      Here are mandatory instructions for the list:
+        -The title is 4 words maximum.
+        -It is very important to not repeat words. 
+        -Do not add any other text or characters to the title.`,
+    temperature: 0,
+    max_tokens: max_tokens,
+  }; 
+
+  const response = await globalConfiguration.openAIInstance.createCompletion(
+    completionRequestParams
+  );
+  const titleSuggestionsData = response.data?.choices[0]?.text;
+  if (titleSuggestionsData) {
+    return titleSuggestionsData.replace(/^\n\n/, '');
+  } else {
+    throw new Error("Error fetching AI title");
+  }
+}
+
+
+//Get a board with a title, a content desciption and Pictograms based on a prompt.
+async function getFullBoard({
+  prompt,
+  maxSuggestions = DEFAULT_MAX_SUGGESTIONS,
+  symbolSet,
+  language = DEFAULT_LANGUAGE,
+}: {
+  prompt: string;
+  maxSuggestions: number;
+  symbolSet?: string;
+  language: string;
+}): Promise<Board> {
+  const words: string[] = await getWordSuggestions({
+    prompt,
+    maxWords: maxSuggestions,
+    language,
+  });
+  //TODO we can check here if the word suggestions are safe @rodrisanchez
+  const title: string = await getBoardTitle(words,language);
+  console.log("Title: " + title);
+  const categories: Map<string, string[]> = await getBoardContent(words,language);
+  //log
+  const categoryObject = Object.fromEntries(categories);
+  console.log("Categories:", categoryObject); 
+  //
+  const suggestionsWithGlobalSymbolsImages: Suggestion[] =
+    await fetchPictogramsURLs({
+      words,
+      symbolSet,
+      language,
+    });
+  categorizePictos(suggestionsWithGlobalSymbolsImages,categories)
+  return {
+    boardTitle: title, 
+    pictos:suggestionsWithGlobalSymbolsImages,
+  };
+}
+
+
+//Using a list of words get a descriptive title.
+async function getBoardContent( 
+  words: string[],
+  language: string
+): Promise<Map<string, string[]>> {
+  const max_tokens = Math.round(2 * words.length + 110);
+  const completionRequestParams = {
+    model: "gpt-3.5-turbo-instruct",
+    prompt: `given this list of words {${words}} you have to sort all of them into one of the following categories only. 
+    For default use DEF. Categories:{PEOPLE, EMOTIONS, FOOD, PLACES, NATURE, OTHER}
+    Use the following template for the response {Category1:word1; Category2:word2,word3; Category3:word4,...}`,
+    //TODO its a good idea to use the content category for each picto instead of the whole board.
+    temperature: 0,
+    max_tokens: max_tokens,
+  }; 
+  const response = await globalConfiguration.openAIInstance.createCompletion(
+    completionRequestParams
+  );
+  const contentSuggestionData = response.data?.choices[0]?.text;
+  console.log("contentSuggestionData" + contentSuggestionData);
+  if (contentSuggestionData) {
+    return parseContent(contentSuggestionData);
+  } else {
+    throw new Error("Error fetching AI categories");
+  }
+}
+
+
+// Function to parse categories and words from the board content
+function parseContent(content: string): Map<string, string[]> {
+  const categoryMap = new Map<string, string[]>();
+  const matches = content.match(/([^.]*)/);
+  if (matches && matches[1]) {
+      matches[1].split(';').forEach(pair => {
+          const [category, wordsString] = pair.split(':').map(item => item.trim());
+          const words = wordsString.split(',').map(word => word.trim());
+          categoryMap.set(category, words);
+      });
+  }
+
+  return categoryMap;
+}
+
+// Function to add categories to pictos
+function categorizePictos(pictos: Suggestion[], categoryMap: Map<string, string[]>): void {
+  pictos.forEach(picto => {
+    categoryMap.forEach((words, category) => {
+      if (words.some(word => word.toLowerCase() === picto.label.toLowerCase())) {
+        picto.category = category;
+      }
+    });
+  });
+}
\ No newline at end of file