Question: Need a solution to automate complex workflows using large language models, what are my options?

If you're looking for a way to automate more complex workflows with large language models, Abacus.AI is a great choice. It lets developers create and run applied AI agents and systems at scale, using generative AI and neural networks. With tools like ChatLLM for creating end-to-end RAG systems and AI Agents for automating complex workflows, Abacus.AI can be used for tasks like forecasting, anomaly detection and predictive modeling.

Another tool with a lot of power is AirOps, which marries your data with more than 40 AI models to help businesses grow e-commerce, marketplaces, content teams and product development. AirOps offers workflows that scale, with error handling and human oversight, and Zapier and webhook integration, so it's good for SEO, SEM and content creation.

If you want something more secure and customizable, check out Dayzero. This enterprise AI platform lets companies automate workflows and get more work out of employees by running custom LLMs in their own environment. Dayzero's products, like Worx for training models and Altimo for intelligent dialogues, are designed to boost productivity in many industries.

Last, Flowise offers an open-source, low-code way to create custom LLM orchestration flows and AI agents. With more than 100 integrations, including Langchain and LlamaIndex, Flowise lets developers create self-sufficient AI agents and run them in air-gapped environments, so it's good for a wide range of AI development needs.