Ulangizi AI Analysis Script with Functions

Our https://gooey.ai/copilot workflow let's anyone build WhatsApp/FB or their own GPT4 powered chat bots, by just swapping our their own documents and GPT prompts. Additionally, we also enable you to analyze the user's message and bot's answer to create structured data from the raw conversational messages.

Each Gooey.AI copilot will have their own conversational analysis script like this one to help analyze the user's questions and the bot's ability to answer them well.

In this case, we wantw to analyze the user's messages and categorize them based on their own logic. Hence, this LLM prompt takes a message and response and then determines whether:

  1. We should update the user's profile object (because they mentioned their location, crop or gender)
  2. The user's question was answered
  3. The topic of the user's question.

ChatGPT (openai)

💪 Capabilities

🧩 Developer Tools and Functions
Functions

⏩ After

AIS POST Analysis

⌥ Variables

  user_msg_local

string

  conversation_id

string

  user_message_id

string

  platform

string

  input_images

string

  input_audio

string

  integration_name

string

  assistant_msg_local

string

  integration_id

string

  user_msg

string

Template variable

  assistant_msg

string

Template variable

  bot_wa_phone_number

string

  notifications

string

  user_wa_phone_number

string


Run cost = 2 credits

Breakdown: 1Cr for ChatGPT (openai) + 1Cr/run

By submitting, you agree to Gooey.AI's terms & privacy policy.

Generated in 2.8s on 

...

How to Use This Recipe

Related Workflows