{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Synthetic Data Generation\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"!!!!\n",
"DISCLAIMER: TinyTroupe relies on Artificial Intelligence (AI) models to generate content. \n",
"The AI models are not perfect and may produce inappropriate or inacurate results. \n",
"For any serious or consequential use, please review the generated content before using it.\n",
"!!!!\n",
"\n",
"Looking for default config on: c:\\Users\\pdasilva\\OneDrive - Microsoft\\Git repositories\\tinytroupe-opensource\\TinyTroupe\\examples\\..\\tinytroupe\\utils\\..\\config.ini\n",
"Found custom config on: c:\\Users\\pdasilva\\OneDrive - Microsoft\\Git repositories\\tinytroupe-opensource\\TinyTroupe\\examples\\config.ini\n",
"\n",
"=================================\n",
"Current TinyTroupe configuration \n",
"=================================\n",
"[OpenAI]\n",
"api_type = openai\n",
"azure_api_version = 2024-08-01-preview\n",
"model = gpt-4o-mini\n",
"max_tokens = 4000\n",
"temperature = 1.5\n",
"freq_penalty = 1.5\n",
"presence_penalty = 1.0\n",
"timeout = 60\n",
"max_attempts = 5\n",
"waiting_time = 2\n",
"exponential_backoff_factor = 5\n",
"embedding_model = text-embedding-3-small\n",
"cache_api_calls = False\n",
"cache_file_name = openai_api_cache.pickle\n",
"max_content_display_length = 1024\n",
"azure_embedding_model_api_version = 2023-05-15\n",
"\n",
"[Simulation]\n",
"rai_harmful_content_prevention = True\n",
"rai_copyright_infringement_prevention = True\n",
"\n",
"[Logging]\n",
"loglevel = ERROR\n",
"\n"
]
}
],
"source": [
"import json\n",
"import sys\n",
"import csv\n",
"sys.path.append('..')\n",
"\n",
"\n",
"import tinytroupe\n",
"from tinytroupe.agent import TinyPerson\n",
"from tinytroupe.environment import TinyWorld, TinySocialNetwork\n",
"from tinytroupe.factory import TinyPersonFactory\n",
"from tinytroupe.extraction import ResultsReducer\n",
"import tinytroupe.control as control"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's create the specific types of agents we need to collect data."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"factory = TinyPersonFactory(\"A random knowledge worker in a company providing marketing services.\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Clara Thompson is a 32 year old Marketing Specialist, American, currently living in Austin, Texas, USA. Clara Thompson is a creative and empathetic individual who thrives in collaborative environments, often seeking feedback from colleagues to enhance her work. She has a strong interest in digital marketing trends and enjoys attending workshops that allow her to network with other professionals. Outside of work, Clara finds joy in photography, capturing moments during her travels or hikes with friends and family. To maintain balance amidst the pressures of tight deadlines, she practices yoga and mindfulness techniques that help manage stress while fostering personal growth through continuous learning.\n",
"Liam Carter is a 29 year old Digital Marketing Executive, British, currently living in Manchester, England. Liam is a creative individual who thrives on brainstorming sessions and values collaboration with his colleagues. He has a keen interest in digital marketing trends and enjoys exploring innovative techniques to enhance campaign effectiveness. Outside of work, he finds joy in cooking new recipes, attending music festivals, and spending weekends immersed in nature through hiking or biking adventures. Despite occasionally feeling overwhelmed by self-doubt or stress-related headaches, Liam maintains a positive outlook on life and believes that creativity is essential for effective marketing while striving for continuous learning in his field.\n"
]
},
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people = []\n",
"for i in range(2):\n",
" person = factory.generate_person(temperature=1.6)\n",
" print(person.minibio())\n",
" people.append(person)\n",
"\n",
"len(people)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"company = TinyWorld(\"Some Corp Inc.\", people)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"company.make_everyone_accessible()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"USER --> Clara Thompson: [CONVERSATION] \n",
" > Get some work done together, help each other.\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mUSER\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > Get some work done together, help each other.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" + --> Liam Carter\n",
"\n"
],
"text/plain": [
"\u001b[1;3;38;5;51m + --> \u001b[0m\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"company.broadcast(\"Get some work done together, help each other.\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"─────────────────────────────────────────── Some Corp Inc. step 1 of 5 ────────────────────────────────────────────\n",
"\n"
],
"text/plain": [
"\u001b[92m─────────────────────────────────────────── \u001b[0mSome Corp Inc. step \u001b[1;36m1\u001b[0m of \u001b[1;36m5\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > Collaborating with someone can be really beneficial. I should consider how we\n",
" > can help each other effectively.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Collaborating with someone can be really beneficial. I should consider how we\u001b[0m\n",
"\u001b[32m > can help each other effectively.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [TALK] \n",
" > That sounds like a great idea! I'm always up for collaborating. What specific\n",
" > tasks do you have in mind?\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mClara Thompson\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > That sounds like a great idea! I'm always up for collaborating. What specific\u001b[0m\n",
"\u001b[1;38;5;40m > tasks do you have in mind?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mClara Thompson\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson --> Liam Carter: [CONVERSATION] \n",
" > That sounds like a great idea! I'm always up for collaborating. What specific\n",
" > tasks do you have in mind?\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > That sounds like a great idea! I'm always up for collaborating. What specific\u001b[0m\n",
"\u001b[1;3;38;5;51m > tasks do you have in mind?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [THINK] \n",
" > Clara is suggesting we work together, which I think is a great opportunity to\n",
" > collaborate. I should consider what tasks we can tackle as a team.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mLiam Carter\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Clara is suggesting we work together, which I think is a great opportunity to\u001b[0m\n",
"\u001b[32m > collaborate. I should consider what tasks we can tackle as a team.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [TALK] \n",
" > I think we could work on analyzing our recent campaign metrics together. It would\n",
" > be great to get your insights! What do you think?\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mLiam Carter\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I think we could work on analyzing our recent campaign metrics together. It would\u001b[0m\n",
"\u001b[1;38;5;40m > be great to get your insights! What do you think?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mLiam Carter\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I think we could work on analyzing our recent campaign metrics together. It would\n",
" > be great to get your insights! What do you think?\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I think we could work on analyzing our recent campaign metrics together. It would\u001b[0m\n",
"\u001b[1;3;38;5;51m > be great to get your insights! What do you think?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"─────────────────────────────────────────── Some Corp Inc. step 2 of 5 ────────────────────────────────────────────\n",
"\n"
],
"text/plain": [
"\u001b[92m─────────────────────────────────────────── \u001b[0mSome Corp Inc. step \u001b[1;36m2\u001b[0m of \u001b[1;36m5\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > Analyzing the campaign metrics together sounds like a productive idea. I can\n",
" > provide insights based on my research and experience.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Analyzing the campaign metrics together sounds like a productive idea. I can\u001b[0m\n",
"\u001b[32m > provide insights based on my research and experience.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [TALK] \n",
" > I think that's a fantastic idea, Liam! I have some thoughts on the metrics we\n",
" > should focus on. Which specific areas do you want to analyze first?\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mClara Thompson\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I think that's a fantastic idea, Liam! I have some thoughts on the metrics we\u001b[0m\n",
"\u001b[1;38;5;40m > should focus on. Which specific areas do you want to analyze first?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > I should prepare for the analysis by reviewing the campaign metrics and\n",
" > identifying key trends or areas of concern.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > I should prepare for the analysis by reviewing the campaign metrics and\u001b[0m\n",
"\u001b[32m > identifying key trends or areas of concern.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mClara Thompson\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson --> Liam Carter: [CONVERSATION] \n",
" > I think that's a fantastic idea, Liam! I have some thoughts on the metrics we\n",
" > should focus on. Which specific areas do you want to analyze first?\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I think that's a fantastic idea, Liam! I have some thoughts on the metrics we\u001b[0m\n",
"\u001b[1;3;38;5;51m > should focus on. Which specific areas do you want to analyze first?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [THINK] \n",
" > Clara is enthusiastic about the idea, which is great! I need to think about what\n",
" > specific metrics we should analyze first. Perhaps focusing on engagement rates\n",
" > and conversion metrics would be beneficial.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mLiam Carter\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Clara is enthusiastic about the idea, which is great! I need to think about what\u001b[0m\n",
"\u001b[32m > specific metrics we should analyze first. Perhaps focusing on engagement rates\u001b[0m\n",
"\u001b[32m > and conversion metrics would be beneficial.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [TALK] \n",
" > I think we should start by looking at the engagement rates first. They can give\n",
" > us a good idea of how our audience is responding to the content. After that, we\n",
" > could dive into conversion metrics. What do you think?\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mLiam Carter\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I think we should start by looking at the engagement rates first. They can give\u001b[0m\n",
"\u001b[1;38;5;40m > us a good idea of how our audience is responding to the content. After that, we\u001b[0m\n",
"\u001b[1;38;5;40m > could dive into conversion metrics. What do you think?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mLiam Carter\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I think we should start by looking at the engagement rates first. They can give\n",
" > us a good idea of how our audience is responding to the content. After that, we\n",
" > could dive into conversion metrics. What do you think?\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I think we should start by looking at the engagement rates first. They can give\u001b[0m\n",
"\u001b[1;3;38;5;51m > us a good idea of how our audience is responding to the content. After that, we\u001b[0m\n",
"\u001b[1;3;38;5;51m > could dive into conversion metrics. What do you think?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"─────────────────────────────────────────── Some Corp Inc. step 3 of 5 ────────────────────────────────────────────\n",
"\n"
],
"text/plain": [
"\u001b[92m─────────────────────────────────────────── \u001b[0mSome Corp Inc. step \u001b[1;36m3\u001b[0m of \u001b[1;36m5\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > Starting with engagement rates makes a lot of sense. It will help us\n",
" > understand audience interaction before looking at conversions.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Starting with engagement rates makes a lot of sense. It will help us\u001b[0m\n",
"\u001b[32m > understand audience interaction before looking at conversions.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [TALK] \n",
" > I completely agree, Liam! Let's start with the engagement rates. I can pull up\n",
" > the data we have and analyze it together. After that, we can move on to\n",
" > conversion metrics.\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mClara Thompson\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I completely agree, Liam! Let's start with the engagement rates. I can pull up\u001b[0m\n",
"\u001b[1;38;5;40m > the data we have and analyze it together. After that, we can move on to\u001b[0m\n",
"\u001b[1;38;5;40m > conversion metrics.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > I should gather the engagement data and prepare some insights to share with\n",
" > Liam. This will help us have a productive discussion.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > I should gather the engagement data and prepare some insights to share with\u001b[0m\n",
"\u001b[32m > Liam. This will help us have a productive discussion.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mClara Thompson\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson --> Liam Carter: [CONVERSATION] \n",
" > I completely agree, Liam! Let's start with the engagement rates. I can pull up\n",
" > the data we have and analyze it together. After that, we can move on to\n",
" > conversion metrics.\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I completely agree, Liam! Let's start with the engagement rates. I can pull up\u001b[0m\n",
"\u001b[1;3;38;5;51m > the data we have and analyze it together. After that, we can move on to\u001b[0m\n",
"\u001b[1;3;38;5;51m > conversion metrics.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [THINK] \n",
" > Clara is on board with starting the analysis of engagement rates, which is great!\n",
" > I should prepare to discuss what specific insights we want to extract from the\n",
" > data once she pulls it up.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mLiam Carter\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Clara is on board with starting the analysis of engagement rates, which is great!\u001b[0m\n",
"\u001b[32m > I should prepare to discuss what specific insights we want to extract from the\u001b[0m\n",
"\u001b[32m > data once she pulls it up.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [TALK] \n",
" > Great! Once you have the data, we can look for trends and see what content\n",
" > performed best. I’m curious to find out if there are any patterns in audience\n",
" > engagement.\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mLiam Carter\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > Great! Once you have the data, we can look for trends and see what content\u001b[0m\n",
"\u001b[1;38;5;40m > performed best. I’m curious to find out if there are any patterns in audience\u001b[0m\n",
"\u001b[1;38;5;40m > engagement.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mLiam Carter\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > Great! Once you have the data, we can look for trends and see what content\n",
" > performed best. I’m curious to find out if there are any patterns in audience\n",
" > engagement.\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > Great! Once you have the data, we can look for trends and see what content\u001b[0m\n",
"\u001b[1;3;38;5;51m > performed best. I’m curious to find out if there are any patterns in audience\u001b[0m\n",
"\u001b[1;3;38;5;51m > engagement.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"─────────────────────────────────────────── Some Corp Inc. step 4 of 5 ────────────────────────────────────────────\n",
"\n"
],
"text/plain": [
"\u001b[92m─────────────────────────────────────────── \u001b[0mSome Corp Inc. step \u001b[1;36m4\u001b[0m of \u001b[1;36m5\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > Looking for trends in audience engagement will be insightful. I should analyze\n",
" > which content types resonated most with our audience.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Looking for trends in audience engagement will be insightful. I should analyze\u001b[0m\n",
"\u001b[32m > which content types resonated most with our audience.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [TALK] \n",
" > Absolutely, Liam! I’ll analyze the data for trends and see which content\n",
" > performed best. It will be interesting to uncover any patterns in audience\n",
" > engagement.\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mClara Thompson\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > Absolutely, Liam! I’ll analyze the data for trends and see which content\u001b[0m\n",
"\u001b[1;38;5;40m > performed best. It will be interesting to uncover any patterns in audience\u001b[0m\n",
"\u001b[1;38;5;40m > engagement.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > I need to ensure that I gather all relevant data before our analysis. This\n",
" > includes looking at different content types and their engagement metrics.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > I need to ensure that I gather all relevant data before our analysis. This\u001b[0m\n",
"\u001b[32m > includes looking at different content types and their engagement metrics.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mClara Thompson\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson --> Liam Carter: [CONVERSATION] \n",
" > Absolutely, Liam! I’ll analyze the data for trends and see which content\n",
" > performed best. It will be interesting to uncover any patterns in audience\n",
" > engagement.\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > Absolutely, Liam! I’ll analyze the data for trends and see which content\u001b[0m\n",
"\u001b[1;3;38;5;51m > performed best. It will be interesting to uncover any patterns in audience\u001b[0m\n",
"\u001b[1;3;38;5;51m > engagement.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [THINK] \n",
" > Clara is enthusiastic about analyzing the data for trends, which aligns perfectly\n",
" > with our goals. I should think of specific questions we might want to answer\n",
" > based on the engagement metrics.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mLiam Carter\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Clara is enthusiastic about analyzing the data for trends, which aligns perfectly\u001b[0m\n",
"\u001b[32m > with our goals. I should think of specific questions we might want to answer\u001b[0m\n",
"\u001b[32m > based on the engagement metrics.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [TALK] \n",
" > I'm looking forward to seeing what you find! Maybe we can also think about how to\n",
" > improve our content based on the insights we gather. Do you have any initial\n",
" > thoughts on that?\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mLiam Carter\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I'm looking forward to seeing what you find! Maybe we can also think about how to\u001b[0m\n",
"\u001b[1;38;5;40m > improve our content based on the insights we gather. Do you have any initial\u001b[0m\n",
"\u001b[1;38;5;40m > thoughts on that?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mLiam Carter\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I'm looking forward to seeing what you find! Maybe we can also think about how to\n",
" > improve our content based on the insights we gather. Do you have any initial\n",
" > thoughts on that?\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I'm looking forward to seeing what you find! Maybe we can also think about how to\u001b[0m\n",
"\u001b[1;3;38;5;51m > improve our content based on the insights we gather. Do you have any initial\u001b[0m\n",
"\u001b[1;3;38;5;51m > thoughts on that?\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"─────────────────────────────────────────── Some Corp Inc. step 5 of 5 ────────────────────────────────────────────\n",
"\n"
],
"text/plain": [
"\u001b[92m─────────────────────────────────────────── \u001b[0mSome Corp Inc. step \u001b[1;36m5\u001b[0m of \u001b[1;36m5\u001b[0m\u001b[92m ────────────────────────────────────────────\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > Improving our content based on the insights we gather is a great idea. I\n",
" > should consider what aspects of our content could be enhanced, such as visuals\n",
" > or messaging.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Improving our content based on the insights we gather is a great idea. I\u001b[0m\n",
"\u001b[32m > should consider what aspects of our content could be enhanced, such as visuals\u001b[0m\n",
"\u001b[32m > or messaging.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [TALK] \n",
" > I think we could enhance our content by focusing on more engaging visuals and\n",
" > clearer messaging. We might also consider varying the formats, like\n",
" > incorporating videos or infographics to capture attention better.\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mClara Thompson\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I think we could enhance our content by focusing on more engaging visuals and\u001b[0m\n",
"\u001b[1;38;5;40m > clearer messaging. We might also consider varying the formats, like\u001b[0m\n",
"\u001b[1;38;5;40m > incorporating videos or infographics to capture attention better.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [THINK] \n",
" > I should also consider gathering feedback from our audience to understand\n",
" > their preferences better. This could guide us in making more informed content\n",
" > decisions.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mClara Thompson\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > I should also consider gathering feedback from our audience to understand\u001b[0m\n",
"\u001b[32m > their preferences better. This could guide us in making more informed content\u001b[0m\n",
"\u001b[32m > decisions.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mClara Thompson\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Clara Thompson --> Liam Carter: [CONVERSATION] \n",
" > I think we could enhance our content by focusing on more engaging visuals and\n",
" > clearer messaging. We might also consider varying the formats, like\n",
" > incorporating videos or infographics to capture attention better.\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I think we could enhance our content by focusing on more engaging visuals and\u001b[0m\n",
"\u001b[1;3;38;5;51m > clearer messaging. We might also consider varying the formats, like\u001b[0m\n",
"\u001b[1;3;38;5;51m > incorporating videos or infographics to capture attention better.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [THINK] \n",
" > Clara's suggestions about enhancing our content with engaging visuals and varied\n",
" > formats are spot on. I should consider how we can implement these ideas in our\n",
" > upcoming campaigns.\n",
"\n"
],
"text/plain": [
"\u001b[4;32mLiam Carter\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
"\u001b[32m > Clara's suggestions about enhancing our content with engaging visuals and varied\u001b[0m\n",
"\u001b[32m > formats are spot on. I should consider how we can implement these ideas in our\u001b[0m\n",
"\u001b[32m > upcoming campaigns.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [TALK] \n",
" > I love those ideas! Incorporating videos and infographics could really help us\n",
" > stand out. Let's brainstorm some specific concepts we can use for our next\n",
" > campaign.\n",
"\n"
],
"text/plain": [
"\u001b[1;4;38;5;40mLiam Carter\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
"\u001b[1;38;5;40m > I love those ideas! Incorporating videos and infographics could really help us\u001b[0m\n",
"\u001b[1;38;5;40m > stand out. Let's brainstorm some specific concepts we can use for our next\u001b[0m\n",
"\u001b[1;38;5;40m > campaign.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter acts: [DONE] \n",
"\n",
"\n"
],
"text/plain": [
"\u001b[4;38;5;252mLiam Carter\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I love those ideas! Incorporating videos and infographics could really help us\n",
" > stand out. Let's brainstorm some specific concepts we can use for our next\n",
" > campaign.\n",
"\n"
],
"text/plain": [
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I love those ideas! Incorporating videos and infographics could really help us\u001b[0m\n",
"\u001b[1;3;38;5;51m > stand out. Let's brainstorm some specific concepts we can use for our next\u001b[0m\n",
"\u001b[1;3;38;5;51m > campaign.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"company.run(5)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now extract the conversations, which form the synthetic corpus we wanted."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"USER --> Clara Thompson: [CONVERSATION] \n",
" > Get some work done together, help each other.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > Collaborating with someone can be really beneficial. I should consider how we\n",
" > can help each other effectively.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [TALK] \n",
" > That sounds like a great idea! I'm always up for collaborating. What specific\n",
" > tasks do you have in mind?\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [DONE] \n",
"\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I think we could work on analyzing our recent campaign metrics together. It would\n",
" > be great to get your insights! What do you think?\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > Analyzing the campaign metrics together sounds like a productive idea. I can\n",
" > provide insights based on my research and experience.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [TALK] \n",
" > I think that's a fantastic idea, Liam! I have some thoughts on the metrics we\n",
" > should focus on. Which specific areas do you want to analyze first?\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > I should prepare for the analysis by reviewing the campaign metrics and\n",
" > identifying key trends or areas of concern.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [DONE] \n",
"\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I think we should start by looking at the engagement rates first. They can give\n",
" > us a good idea of how our audience is responding to the content. After that, we\n",
" > could dive into conversion metrics. What do you think?\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > Starting with engagement rates makes a lot of sense. It will help us\n",
" > understand audience interaction before looking at conversions.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [TALK] \n",
" > I completely agree, Liam! Let's start with the engagement rates. I can pull up\n",
" > the data we have and analyze it together. After that, we can move on to\n",
" > conversion metrics.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > I should gather the engagement data and prepare some insights to share with\n",
" > Liam. This will help us have a productive discussion.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [DONE] \n",
"\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > Great! Once you have the data, we can look for trends and see what content\n",
" > performed best. I’m curious to find out if there are any patterns in audience\n",
" > engagement.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > Looking for trends in audience engagement will be insightful. I should analyze\n",
" > which content types resonated most with our audience.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [TALK] \n",
" > Absolutely, Liam! I’ll analyze the data for trends and see which content\n",
" > performed best. It will be interesting to uncover any patterns in audience\n",
" > engagement.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > I need to ensure that I gather all relevant data before our analysis. This\n",
" > includes looking at different content types and their engagement metrics.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [DONE] \n",
"\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I'm looking forward to seeing what you find! Maybe we can also think about how to\n",
" > improve our content based on the insights we gather. Do you have any initial\n",
" > thoughts on that?\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > Improving our content based on the insights we gather is a great idea. I\n",
" > should consider what aspects of our content could be enhanced, such as visuals\n",
" > or messaging.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [TALK] \n",
" > I think we could enhance our content by focusing on more engaging visuals and\n",
" > clearer messaging. We might also consider varying the formats, like\n",
" > incorporating videos or infographics to capture attention better.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [THINK] \n",
" > I should also consider gathering feedback from our audience to understand\n",
" > their preferences better. This could guide us in making more informed content\n",
" > decisions.\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Clara Thompson acts: [DONE] \n",
"\n",
">>>>>>>>> Date and time of events: 2025-01-02T23:12:31.954072\n",
"Liam Carter --> Clara Thompson: [CONVERSATION] \n",
" > I love those ideas! Incorporating videos and infographics could really help us\n",
" > stand out. Let's brainstorm some specific concepts we can use for our next\n",
" > campaign.\n",
"\n"
],
"text/plain": [
">>>>>>>>> Date and time of events: \u001b[1;36m2025\u001b[0m-\u001b[1;36m01\u001b[0m-02T\u001b[1;92m23:12:31\u001b[0m.\u001b[1;36m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;51mUSER\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > Get some work done together, help each other.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > Collaborating with someone can be really beneficial. I should consider how we\u001b[0m\n",
"\u001b[1;3;32m > can help each other effectively.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;40mClara Thompson\u001b[0m\u001b[1;3;38;5;40m acts: \u001b[0m\u001b[1;3;38;5;40m[\u001b[0m\u001b[1;3;38;5;40mTALK\u001b[0m\u001b[1;3;38;5;40m]\u001b[0m\u001b[1;3;38;5;40m \u001b[0m\n",
"\u001b[1;3;38;5;40m > That sounds like a great idea! I'm always up for collaborating. What specific\u001b[0m\n",
"\u001b[1;3;38;5;40m > tasks do you have in mind?\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;252mClara Thompson\u001b[0m\u001b[1;3;38;5;252m acts: \u001b[0m\u001b[1;3;38;5;252m[\u001b[0m\u001b[1;3;38;5;252mDONE\u001b[0m\u001b[1;3;38;5;252m]\u001b[0m\u001b[1;3;38;5;252m \u001b[0m\n",
"\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I think we could work on analyzing our recent campaign metrics together. It would\u001b[0m\n",
"\u001b[1;3;38;5;51m > be great to get your insights! What do you think?\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > Analyzing the campaign metrics together sounds like a productive idea. I can\u001b[0m\n",
"\u001b[1;3;32m > provide insights based on my research and experience.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;40mClara Thompson\u001b[0m\u001b[1;3;38;5;40m acts: \u001b[0m\u001b[1;3;38;5;40m[\u001b[0m\u001b[1;3;38;5;40mTALK\u001b[0m\u001b[1;3;38;5;40m]\u001b[0m\u001b[1;3;38;5;40m \u001b[0m\n",
"\u001b[1;3;38;5;40m > I think that's a fantastic idea, Liam! I have some thoughts on the metrics we\u001b[0m\n",
"\u001b[1;3;38;5;40m > should focus on. Which specific areas do you want to analyze first?\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > I should prepare for the analysis by reviewing the campaign metrics and\u001b[0m\n",
"\u001b[1;3;32m > identifying key trends or areas of concern.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;252mClara Thompson\u001b[0m\u001b[1;3;38;5;252m acts: \u001b[0m\u001b[1;3;38;5;252m[\u001b[0m\u001b[1;3;38;5;252mDONE\u001b[0m\u001b[1;3;38;5;252m]\u001b[0m\u001b[1;3;38;5;252m \u001b[0m\n",
"\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I think we should start by looking at the engagement rates first. They can give\u001b[0m\n",
"\u001b[1;3;38;5;51m > us a good idea of how our audience is responding to the content. After that, we\u001b[0m\n",
"\u001b[1;3;38;5;51m > could dive into conversion metrics. What do you think?\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > Starting with engagement rates makes a lot of sense. It will help us\u001b[0m\n",
"\u001b[1;3;32m > understand audience interaction before looking at conversions.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;40mClara Thompson\u001b[0m\u001b[1;3;38;5;40m acts: \u001b[0m\u001b[1;3;38;5;40m[\u001b[0m\u001b[1;3;38;5;40mTALK\u001b[0m\u001b[1;3;38;5;40m]\u001b[0m\u001b[1;3;38;5;40m \u001b[0m\n",
"\u001b[1;3;38;5;40m > I completely agree, Liam! Let's start with the engagement rates. I can pull up\u001b[0m\n",
"\u001b[1;3;38;5;40m > the data we have and analyze it together. After that, we can move on to\u001b[0m\n",
"\u001b[1;3;38;5;40m > conversion metrics.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > I should gather the engagement data and prepare some insights to share with\u001b[0m\n",
"\u001b[1;3;32m > Liam. This will help us have a productive discussion.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;252mClara Thompson\u001b[0m\u001b[1;3;38;5;252m acts: \u001b[0m\u001b[1;3;38;5;252m[\u001b[0m\u001b[1;3;38;5;252mDONE\u001b[0m\u001b[1;3;38;5;252m]\u001b[0m\u001b[1;3;38;5;252m \u001b[0m\n",
"\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > Great! Once you have the data, we can look for trends and see what content\u001b[0m\n",
"\u001b[1;3;38;5;51m > performed best. I’m curious to find out if there are any patterns in audience\u001b[0m\n",
"\u001b[1;3;38;5;51m > engagement.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > Looking for trends in audience engagement will be insightful. I should analyze\u001b[0m\n",
"\u001b[1;3;32m > which content types resonated most with our audience.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;40mClara Thompson\u001b[0m\u001b[1;3;38;5;40m acts: \u001b[0m\u001b[1;3;38;5;40m[\u001b[0m\u001b[1;3;38;5;40mTALK\u001b[0m\u001b[1;3;38;5;40m]\u001b[0m\u001b[1;3;38;5;40m \u001b[0m\n",
"\u001b[1;3;38;5;40m > Absolutely, Liam! I’ll analyze the data for trends and see which content\u001b[0m\n",
"\u001b[1;3;38;5;40m > performed best. It will be interesting to uncover any patterns in audience\u001b[0m\n",
"\u001b[1;3;38;5;40m > engagement.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > I need to ensure that I gather all relevant data before our analysis. This\u001b[0m\n",
"\u001b[1;3;32m > includes looking at different content types and their engagement metrics.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;252mClara Thompson\u001b[0m\u001b[1;3;38;5;252m acts: \u001b[0m\u001b[1;3;38;5;252m[\u001b[0m\u001b[1;3;38;5;252mDONE\u001b[0m\u001b[1;3;38;5;252m]\u001b[0m\u001b[1;3;38;5;252m \u001b[0m\n",
"\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I'm looking forward to seeing what you find! Maybe we can also think about how to\u001b[0m\n",
"\u001b[1;3;38;5;51m > improve our content based on the insights we gather. Do you have any initial\u001b[0m\n",
"\u001b[1;3;38;5;51m > thoughts on that?\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > Improving our content based on the insights we gather is a great idea. I\u001b[0m\n",
"\u001b[1;3;32m > should consider what aspects of our content could be enhanced, such as visuals\u001b[0m\n",
"\u001b[1;3;32m > or messaging.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;40mClara Thompson\u001b[0m\u001b[1;3;38;5;40m acts: \u001b[0m\u001b[1;3;38;5;40m[\u001b[0m\u001b[1;3;38;5;40mTALK\u001b[0m\u001b[1;3;38;5;40m]\u001b[0m\u001b[1;3;38;5;40m \u001b[0m\n",
"\u001b[1;3;38;5;40m > I think we could enhance our content by focusing on more engaging visuals and\u001b[0m\n",
"\u001b[1;3;38;5;40m > clearer messaging. We might also consider varying the formats, like\u001b[0m\n",
"\u001b[1;3;38;5;40m > incorporating videos or infographics to capture attention better.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;32mClara Thompson\u001b[0m\u001b[1;3;32m acts: \u001b[0m\u001b[1;3;32m[\u001b[0m\u001b[1;3;32mTHINK\u001b[0m\u001b[1;3;32m]\u001b[0m\u001b[1;3;32m \u001b[0m\n",
"\u001b[1;3;32m > I should also consider gathering feedback from our audience to understand\u001b[0m\n",
"\u001b[1;3;32m > their preferences better. This could guide us in making more informed content\u001b[0m\n",
"\u001b[1;3;32m > decisions.\u001b[0m\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;252mClara Thompson\u001b[0m\u001b[1;3;38;5;252m acts: \u001b[0m\u001b[1;3;38;5;252m[\u001b[0m\u001b[1;3;38;5;252mDONE\u001b[0m\u001b[1;3;38;5;252m]\u001b[0m\u001b[1;3;38;5;252m \u001b[0m\n",
"\n",
"\u001b[1;3;38;5;51m>>>>>>>>> Date and time of events: \u001b[0m\u001b[1;3;38;5;51m2025\u001b[0m\u001b[1;3;38;5;51m-\u001b[0m\u001b[1;3;38;5;51m01\u001b[0m\u001b[1;3;38;5;51m-02T\u001b[0m\u001b[1;3;38;5;51m23:12:31\u001b[0m\u001b[1;3;38;5;51m.\u001b[0m\u001b[1;3;38;5;51m954072\u001b[0m\n",
"\u001b[1;3;4;38;5;51mLiam Carter\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mClara Thompson\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
"\u001b[1;3;38;5;51m > I love those ideas! Incorporating videos and infographics could really help us\u001b[0m\n",
"\u001b[1;3;38;5;51m > stand out. Let's brainstorm some specific concepts we can use for our next\u001b[0m\n",
"\u001b[1;3;38;5;51m > campaign.\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"people[0].pp_current_interactions()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"reducer = ResultsReducer()\n",
"\n",
"def aux_extract_content(focus_agent: TinyPerson, source_agent:TinyPerson, target_agent:TinyPerson, kind:str, event: str, content: str, timestamp:str):\n",
"\n",
" if event == \"TALK\":\n",
" author = focus_agent.name\n",
" elif event == \"CONVERSATION\":\n",
" if source_agent is None:\n",
" author = \"USER\"\n",
" else:\n",
" author = source_agent.name\n",
" else:\n",
" raise ValueError(f\"Unknown event: {event}\")\n",
" \n",
" \n",
" entry = (author, content)\n",
" print(entry)\n",
" return entry\n",
" \n",
"\n",
"\n",
"reducer.add_reduction_rule(\"TALK\", aux_extract_content)\n",
"reducer.add_reduction_rule(\"CONVERSATION\", aux_extract_content)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we obtain the dataframe with the data and save it to a `.csv`, for later use in other applications."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('USER', 'Get some work done together, help each other.')\n",
"('Clara Thompson', \"That sounds like a great idea! I'm always up for collaborating. What specific tasks do you have in mind?\")\n",
"('Liam Carter', 'I think we could work on analyzing our recent campaign metrics together. It would be great to get your insights! What do you think?')\n",
"('Clara Thompson', \"I think that's a fantastic idea, Liam! I have some thoughts on the metrics we should focus on. Which specific areas do you want to analyze first?\")\n",
"('Liam Carter', 'I think we should start by looking at the engagement rates first. They can give us a good idea of how our audience is responding to the content. After that, we could dive into conversion metrics. What do you think?')\n",
"('Clara Thompson', \"I completely agree, Liam! Let's start with the engagement rates. I can pull up the data we have and analyze it together. After that, we can move on to conversion metrics.\")\n",
"('Liam Carter', 'Great! Once you have the data, we can look for trends and see what content performed best. I’m curious to find out if there are any patterns in audience engagement.')\n",
"('Clara Thompson', 'Absolutely, Liam! I’ll analyze the data for trends and see which content performed best. It will be interesting to uncover any patterns in audience engagement.')\n",
"('Liam Carter', \"I'm looking forward to seeing what you find! Maybe we can also think about how to improve our content based on the insights we gather. Do you have any initial thoughts on that?\")\n",
"('Clara Thompson', 'I think we could enhance our content by focusing on more engaging visuals and clearer messaging. We might also consider varying the formats, like incorporating videos or infographics to capture attention better.')\n",
"('Liam Carter', \"I love those ideas! Incorporating videos and infographics could really help us stand out. Let's brainstorm some specific concepts we can use for our next campaign.\")\n"
]
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" author | \n",
" content | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" USER | \n",
" Get some work done together, help each other. | \n",
"
\n",
" \n",
" | 1 | \n",
" Clara Thompson | \n",
" That sounds like a great idea! I'm always up f... | \n",
"
\n",
" \n",
" | 2 | \n",
" Liam Carter | \n",
" I think we could work on analyzing our recent ... | \n",
"
\n",
" \n",
" | 3 | \n",
" Clara Thompson | \n",
" I think that's a fantastic idea, Liam! I have ... | \n",
"
\n",
" \n",
" | 4 | \n",
" Liam Carter | \n",
" I think we should start by looking at the enga... | \n",
"
\n",
" \n",
" | 5 | \n",
" Clara Thompson | \n",
" I completely agree, Liam! Let's start with the... | \n",
"
\n",
" \n",
" | 6 | \n",
" Liam Carter | \n",
" Great! Once you have the data, we can look for... | \n",
"
\n",
" \n",
" | 7 | \n",
" Clara Thompson | \n",
" Absolutely, Liam! I’ll analyze the data for tr... | \n",
"
\n",
" \n",
" | 8 | \n",
" Liam Carter | \n",
" I'm looking forward to seeing what you find! M... | \n",
"
\n",
" \n",
" | 9 | \n",
" Clara Thompson | \n",
" I think we could enhance our content by focusi... | \n",
"
\n",
" \n",
" | 10 | \n",
" Liam Carter | \n",
" I love those ideas! Incorporating videos and i... | \n",
"
\n",
" \n",
"
\n",
"