diff --git a/helper/exercises.py b/helper/exercises.py
index c379417..59db409 100644
--- a/helper/exercises.py
+++ b/helper/exercises.py
@@ -1153,3 +1153,241 @@ def gen_multiple_choice_blank_space_utas(quantity: int, start_id: int, all_exams
             "questions": fix_exercise_ids(question, start_id)["questions"],
             "type": "multipleChoice",
         }
+
+
+def gen_multiple_choice_underlined_utas(quantity: int, start_id: int):
+    json_format = {
+        "questions": [
+            {
+                "id": "9",
+                "options": [
+                    {
+                        "id": "A",
+                        "text": "a"
+                    },
+                    {
+                        "id": "B",
+                        "text": "b"
+                    },
+                    {
+                        "id": "C",
+                        "text": "c"
+                    },
+                    {
+                        "id": "D",
+                        "text": "d"
+                    }
+                ],
+                "prompt": "prompt",
+                "solution": "A",
+                "variant": "text"
+            }
+        ]
+    }
+
+    gen_multiple_choice_for_text = 'Generate ' + str(quantity) + (' multiple choice questions of 4 options for an english '
+                                                                  'level exam, some easy questions, some intermediate '
+                                                                  'questions and some advanced questions.Ensure that '
+                                                                  'the questions cover a range of topics such as verb '
+                                                                  'tense, subject-verb agreement, pronoun usage, '
+                                                                  'sentence structure, and punctuation. Make sure '
+                                                                  'every question only has 1 correct answer.')
+
+    messages = [
+        {
+            "role": "system",
+            "content": 'You are a helpful assistant designed to output JSON on this format: ' + str(json_format)
+        },
+        {
+            "role": "user",
+            "content": gen_multiple_choice_for_text
+        },
+        {
+            "role": "user",
+            "content": (
+                'The type of multiple choice is the prompt has wrong words or group of words and the options are to '
+                'find the wrong word or group of words that are underlined in the prompt. \nExample:\n'
+                'Prompt: "I <u>complain</u> about my boss <u>all the time</u>, but my colleagues <u>thinks</u> the boss <u>is</u> nice."\n'
+                'Options:\na: "complain"\nb: "all the time"\nc: "thinks"\nd: "is"')
+        }
+    ]
+
+    token_count = count_total_tokens(messages)
+    question = make_openai_call(GPT_4_O, messages, token_count,
+                                    ["questions"],
+                                    GEN_QUESTION_TEMPERATURE)
+
+    if len(question["questions"]) != quantity:
+        return gen_multiple_choice_level(quantity, start_id)
+    else:
+        return {
+            "id": str(uuid.uuid4()),
+            "prompt": "Select the appropriate option.",
+            "questions": fix_exercise_ids(question, start_id)["questions"],
+            "type": "multipleChoice",
+        }
+
+def gen_blank_space_text_utas(quantity: int, start_id: int, size: int, topic=random.choice(mti_topics)):
+    json_format = {
+        "question": {
+            "words": [
+                {
+                    "id": "1",
+                    "text": "a"
+                },
+                {
+                    "id": "2",
+                    "text": "b"
+                },
+                {
+                    "id": "3",
+                    "text": "c"
+                },
+                {
+                    "id": "4",
+                    "text": "d"
+                }
+            ],
+            "text": "text"
+        }
+    }
+    gen_text = 'Generate a text of at least ' + str(size) + ' words about the topic ' + topic + '.'
+
+    messages = [
+        {
+            "role": "system",
+            "content": 'You are a helpful assistant designed to output JSON on this format: ' + str(json_format)
+        },
+        {
+            "role": "user",
+            "content": gen_text
+        },
+        {
+            "role": "user",
+            "content": (
+                'From the generated text choose ' + str(quantity) + ' words (cannot be sequential words) to replace '
+                                                                    'once with {{id}} where id starts on ' + str(start_id) + ' and is '
+                'incremented for each word. The ids must be ordered throughout the text and the words must be '
+                'replaced only once. Put the removed words and respective ids on the words array of the json in the correct order.')
+        }
+    ]
+
+    token_count = count_total_tokens(messages)
+    question = make_openai_call(GPT_4_O, messages, token_count,
+                                ["question"],
+                                GEN_QUESTION_TEMPERATURE)
+
+    return {
+        "id": str(uuid.uuid4()),
+        "prompt": "Select the appropriate option.",
+        "questions": question["question"],
+        "type": "blankSpace"
+    }
+
+def gen_reading_passage_utas(start_id, sa_quantity: int, mc_quantity: int, topic=random.choice(mti_topics)):
+
+    passage = generate_reading_passage(QuestionType.READING_PASSAGE_1, topic)
+    exercises = gen_reading_exercises_utas(passage["text"], start_id, sa_quantity, mc_quantity)
+    if contains_empty_dict(exercises):
+        return gen_reading_passage_utas(start_id, sa_quantity, mc_quantity, topic)
+    return {
+        "exercises": exercises,
+        "text": {
+            "content": passage["text"],
+            "title": passage["title"]
+        }
+    }
+
+def gen_reading_exercises_utas(passage: str, start_id: int, sa_quantity: int, mc_quantity: int):
+    exercises = []
+
+    sa_questions = gen_short_answer_utas(passage, start_id, sa_quantity)
+    exercises.append(sa_questions)
+    mc_questions = gen_text_multiple_choice_utas(passage, start_id+sa_quantity, mc_quantity)
+    exercises.append(mc_questions)
+
+    return exercises
+
+def gen_short_answer_utas(text: str, start_id: int, sa_quantity: int):
+    json_format = {"questions": [{"id": 1, "question": "question", "possible_answers": ["answer_1", "answer_2"]}]}
+
+    messages = [
+        {
+            "role": "system",
+            "content": 'You are a helpful assistant designed to output JSON on this format: ' + str(json_format)
+        },
+        {
+            "role": "user",
+            "content": (
+                    'Generate ' + str(sa_quantity) + ' short answer questions, and the possible answers, must have '
+                                                     'maximum 3 words per answer, about this text:\n"' + text + '"')
+        },
+        {
+            "role": "user",
+            "content": 'The id starts at ' + str(start_id) + '.'
+        }
+    ]
+
+    token_count = count_total_tokens(messages)
+    return make_openai_call(GPT_4_O, messages, token_count,
+                                ["questions"],
+                                GEN_QUESTION_TEMPERATURE)
+def gen_text_multiple_choice_utas(text: str, start_id: int, mc_quantity: int):
+    json_format = {
+        "questions": [
+            {
+                "id": "9",
+                "options": [
+                    {
+                        "id": "A",
+                        "text": "a"
+                    },
+                    {
+                        "id": "B",
+                        "text": "b"
+                    },
+                    {
+                        "id": "C",
+                        "text": "c"
+                    },
+                    {
+                        "id": "D",
+                        "text": "d"
+                    }
+                ],
+                "prompt": "prompt",
+                "solution": "A",
+                "variant": "text"
+            }
+        ]
+    }
+
+    messages = [
+        {
+            "role": "system",
+            "content": 'You are a helpful assistant designed to output JSON on this format: ' + str(json_format)
+        },
+        {
+            "role": "user",
+            "content": 'Generate ' + str(mc_quantity) + ' multiple choice questions of 4 options for this text:\n' + text
+        },
+        {
+            "role": "user",
+            "content": 'Make sure every question only has 1 correct answer.'
+        }
+    ]
+
+    token_count = count_total_tokens(messages)
+    question = make_openai_call(GPT_4_O, messages, token_count,
+                                ["questions"],
+                                GEN_QUESTION_TEMPERATURE)
+
+    if len(question["questions"]) != mc_quantity:
+        return gen_multiple_choice_level(mc_quantity, start_id)
+    else:
+        return {
+            "id": str(uuid.uuid4()),
+            "prompt": "Select the appropriate option.",
+            "questions": fix_exercise_ids(question, start_id)["questions"],
+            "type": "multipleChoice",
+        }
\ No newline at end of file