Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets — Workflow n8n

Średnia złożoność Wyzwalacz13 węzłów🤗 Support👁 43 wyświetleńautor: Rahul Joshi

Przegląd

📊 Description This workflow analyzes meeting transcripts using AI to understand team sentiment, engagement, and morale. The results are saved in Google Sheets for easy tracking and review. It receives meeting data through a webhook, validates the input, sends the transcript to AI for analysis, cleans the output, and stores the insights in a structured format. This helps teams track morale over time and spot risks early.

🔁 What This Template Does Receives meeting transcript data through a webhoo

Użyte węzły

HTTP RequestSlackTelegramGmailCodeAI AgentOpenAI Chat Model

Podgląd workflow

Error Handling
Sends alerts when the workflow fails
📊 Smart Trade Alert Dispatcher for Slack & T
How it works
This workflow monitors Apple stock (AAPL) in real-time
📡 Data Collection
Fetches real-time AAPL data from TwelveData API:
- RSI (14-period, 5min intervals) for momentum
- Price quotes with volume metrics
Both requests run in parallel for efficiency, t
🧮 Signal Processing
Calculates trading signals by:
- Classifying momentum (oversold/overbought)
- Comparing volume vs average
- Determining action: PREPARE_BUY, WATCH, or WAIT
Outputs structured d
🤖 AI Market Analysis
GPT-4 transforms raw signals into professional market u
- Clear bullet-point formatting
- Neutral, factual language
- No exaggeration or financial advice
Produces
🚨 Priority Routing & Alerts
Calculates alert priority based on RSI + volume:
- HIGH: RSI <30 + high volume → Telegram
- MEDIUM/LOW: Other conditions → Slack
Ensures critical signals reach
🔐 Security & API Keys
Required credentials:
- TwelveData API (free tier available)
- OpenAI API for GPT-4
- Telegram Bot Token
- Slack OAuth2
model
W
Workflow Error Handler
Send a message1
Fetch RSI Indicator
Fetch Price & Volume Data
M
Merge API Responses
Calculate Trading Signals
Generate AI Summary
OpenAI GPT-4 Model
Assign Alert Priority
R
Route by Priority
Send to Slack (Low Prior…
Send to Telegram (High P…
S
Schedule Trigger1
13 nodes12 edges

Jak to działa

  1. 1

    Wyzwalacz

    Workflow uruchamia się wyzwalaczem wyzwalacz.

  2. 2

    Przetwarzanie

    Dane przepływają przez 13 węzłów, connecting agent, code, errortrigger.

  3. 3

    Wyjście

    Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.

Szczegóły węzłów (13)

HT

HTTP Request

httpRequest

#1
SL

Slack

slack

#2
TE

Telegram

telegram

#3
GM

Gmail

gmail

#4
CO

Code

code

#5
AI

AI Agent

n8n-nodes-langchain.agent

#6
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#7

Jak zaimportować ten workflow

  1. 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
  2. 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
  3. 3Wybierz pobrany plik analyze-meeting-sentiment-with-azure-openai-and-save-insights-to-google-sheets i kliknij Importuj.
  4. 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
  5. 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.

Lub wklej bezpośrednio w n8n → Importuj z JSON:

{ "name": "Analyze meeting sentiment with Azure OpenAI and save insights to Google Sheets", "nodes": [...], ...}

Integracje

agentcodeerrortriggergmailhttprequestiflmchatopenaimergescheduletriggerslacktelegram

Pobierz ten workflow

Pobierz i zaimportuj jednym kliknięciem

Pobierz JSONZobacz na n8n.io
Węzły13
Złożonośćmedium
Wyzwalacztrigger
Wyświetlenia43
KategoriaSupport

Autor

Rahul Joshi

Rahul Joshi

@rahul08

Tagi

agentcodeerrortriggergmailhttprequestiflmchatopenaimergescheduletriggerslack

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