The article explores advanced techniques for using ChatGPT and other OpenAI models, emphasizing their integration with the workflow automation tool n8n. It begins with an overview of natural language processing models, highlighting the evolution from GPT-3 to ChatGPT and the various models OpenAI has developed, including DALLE-2 for image generation and Whisper for speech recognition. Techniques such as prompt engineering and chaining are discussed for improving AI model interactions, allowing for tasks like text summarization, translation, and sentiment analysis. The article also covers how prompt chaining can enable multimodal capabilities by combining different AI models, and it introduces the concept of embeddings for building knowledge bases. Furthermore, it advises on the practical application of these models within n8n workflows, stressing the importance of human supervision due to the models' occasional unreliability.