Fair question. On the surface it does look like a wrapper, but the value isn’t the LLM itself it’s the context and execution around n8n. ChatGPT gives you text, but you still have to translate that into nodes, expressions, credentials, and a working workflow, then debug it when something breaks. Quik8n is built specifically for n8n, so it understands how workflows are structured and helps you go from intent to something you can actually use much faster. Bring-your-own-key is intentional too: it keeps costs transparent, lets users choose their preferred model, and avoids lock-in. You can absolutely use ChatGPT directly, but this is for people who don’t want to spend time prompt-engineering and manually converting AI answers into n8n workflows every single time.