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Unified AI Manager Streamlines Tasks Across Custom Models

My team of AI agents was getting out of hand. So I hired a Lead AI Manager. 🤖 TypingMind This is an LLM frontend that can connect with a large set of models - all from one unified UI. But the most amazing part: With TypingMind, you can also add custom models. A custom model, really, is any API that is compatible with OpenAIs completion endpoint. This can be my fine-tuned models on OpenAI. But it can also be my own endpoint, where additional functionality is added. This is how I use it. TypingMind is my direct point of contact to: → My many n8n workflows → Different models → Fine-tuned models → Models that wrap additional logic If I need content, I tell TypingMind to write a post. If I need a blog post, I tell TypingMind to write one. If I need a thumbnail, I tell TypingMind to generate it. If I need information, I ask TypingMind (it has direct access to Aidbase, our RAG). And since TypingMind has access to everything, it knows where to delegate the task. In a busy day-to-day, it's amazing to have a single point of contact that will manage, delegate, and orchestrate your tasks.