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

Functions give your workflow the ability run Javascript code (with webcalls!) allowing it execute logic, use common JS libraries or make external API calls before or after the workflow runs. Learn more.

⏩ After

AIS POST Analysis

⌥ Variables

Variables let you pass custom parameters to your workflow. Access a variable in your instruction prompt with Jinja, e.g. {{ my_variable }}
Learn more.



Run cost = 2 credits

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

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