Thanks for the interest! (And for the question, @Pierre Goldman ) More details: My mother has a treasure trove of over 1,600 letters, journals, and diaries that span decades. These writings are a goldmine of memories, thoughts, and reflections—her life in words. But as her condition progresses, it’s become harder for her to access those memories and use them as a source of comfort and clarity. I wanted to bring her those memories back, and I knew technology could help. That’s when I began working on a memory companion, a device that would serve as both a memory aid and a conversational partner, powered by AI. It would allow her to revisit her writings, receive prompts based on her past, and have meaningful conversations that reflect the memories she holds dear. The ultimate goal is for it to not just be a device, but a companion that can speak with her, encourage her, and offer a sense of grounding as she faces the effects of dementia. But here’s where I need help—I’m developing this project through automation with n8n. What do I need the n8n workflow to do? I need this workflow to tie together several crucial services and tools to create a seamless and supportive experience for my mother. Here’s what we’re looking to build: 1. Phone Integration (Twilio): The workflow should allow my mother to interact with the system via phone. Using Twilio, the goal is for her to call in and verbally interact with the Memory Companion. It should transcribe her speech and use that input to pull relevant memories from her database of letters, journals, and diaries, and also allow her to ask questions or have simple conversations. 2. Text-to-Speech & Speech-to-Text: Once the system processes her request (whether it’s a memory, question, or conversation), it needs to respond in a soothing, human-like voice. Text-to-speech technology will play a critical role in making sure she feels heard and understood, while speech-to-text will allow her to communicate naturally.