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module_explainer.txt
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C_D_M :
C_D_M_agent : contains
customer_discovery_module_agent: description
this module stichches CJS,ICP,NMA,VPA together and runs them
CJS : contains
customer_jorney_setup : description
dictates how the customer will go through stages of the product
generate_retrive_personas : description
generates personas based on the ideal customer profile
customer_journey_simulation : description
simulates to the persona. journey stages are retrived from customer_jorney_setup and then asks the qestions to the personas related to product
ICP_generator : contains
generatr_ICP : description
genrates icp according to the product
file_ICP : description
checks wheather the ideal customer profile matchs product
generatr_ICP_refine: description
refines the ideal customer profile
NMA : contains
need_of_the_customer : description
analyses the needs of the customer and how the product meets those needs
VPA : contains
vpa : description
analyses the value proposition of the product matches the need of the customer
knowlege_base : description
stores the data of the companies and use it for process
modules : contains
api_calls_module : description
ask_llm : description
asks question to the llm and returns the answer
ask_jina : description
asks qestions to the jina and returns the answer
scrape_with_jina : description
scrapes the website
small_modules : contains
extract_website_name : description
extracts the website name from the url
is_social_media : description
checks wheather the url is a social media url or not
is_image_url : description
checks wheather the url is a image url or not
is_file_present_updated:
checks wheather the file is present and updated within last 24 hour or not
talking_agent : contains
taklking : description
allows users to talk to the ai personas
P_E_E : work in progress
Scrapers : contains
reddit_scraper : contains
reddit_scrape_post_comment : description
scrapes the reddit post and comments from the given reddit link
reddit_scrape_and_explainer : description
scrapes the reddit post and comments from the given reddit link and associte weather it is sentiments
url_to_llm_friend : contains
url_to_llm_explainer : description
scrapes the url simplify sort some of the data into llm friendly way
qestionear_agent : contains
qestion_answer_agent : description
takes the url finds data in data store else does google search to find the answer to the question
report_builder : contains
report_builder : description
builds the report based on the data provided
final_report_builder : description
builds the final report based on the report generated privously