Transform Long Content into Bite-sized Learning Modules with GPT-4 & Google Docs — Workflow n8n
Przegląd
Who's it for Content creators, trainers, and educators who need to convert lengthy documents into digestible micro-learning experiences.
How it works This workflow takes your source content (PDFs, articles, handbooks) and uses GPT-4 to intelligently break it into 2-3 minute learning modules. Each module includes a key concept, explanation, practical example, and knowledge check question.
How to set up Configure OpenAI credentials with GPT-4 access Connect Slack workspace (optional) Set up Goog
Użyte węzły
Podgląd workflow
Jak to działa
- 1
Wyzwalacz
Workflow uruchamia się wyzwalaczem webhook.
- 2
Przetwarzanie
Dane przepływają przez 18 węzłów, connecting code, googledocs, if.
- 3
Wyjście
Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.
Szczegóły węzłów (18)
Slack
slack
Google Docs
googleDocs
Code
code
OpenAI
openAi
Jak zaimportować ten workflow
- 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
- 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
- 3Wybierz pobrany plik
transform-long-content-into-bite-sized-learning-modules-with-gpt-4-google-docsi kliknij Importuj. - 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
- 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.
Lub wklej bezpośrednio w n8n → Importuj z JSON:
Integracje
Autor
inderjeet Bhambra
@idsinghbhambra
Tagi
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