Question: Can you suggest a platform that allows me to stack multiple large language models and link prompts together for custom workflows?

If you want a platform to stack multiple large language models and chain prompts together for custom workflows, Weave is a great option. It's a no-code AI workflow builder that lets you automate tasks without programming, so you can stack LLMs and chain prompts into existing processes. Weave has a dataflow management system that's easy to use, app-ready deployment and relatively cheap AI models, so it's good for tasks like generating character dialogue and automating written content.

Another option worth checking out is LLMStack. This open-source platform lets developers build AI apps using pre-trained language models from big companies. It can import different data files and link them to LLM models for more advanced AI apps. LLMStack also has a no-code builder for chaining multiple LLMs together and linking them to data and business processes, so it's accessible to developers who don't have a lot of programming skills.

For a more complete solution, check out GradientJ. This full-stack platform is designed to help LLM teams build next-gen AI apps with tools for ideating, building and managing LLM-native apps. GradientJ's app-building canvas and team collaboration mechanism makes it easy to create and manage complex apps, for example smart data extraction and safe chatbots for HR.

Last, Prompt Studio offers a team collaboration environment for building LLMs. It comes with features like a collaborative text editor for writing and chaining prompts, customizable templates and testing tools. This platform is designed to make AI development more efficient and collaborative, for example with tasks like automating legal document checks and integrating AI into existing workflows.