multi-model llm orchestration
Chain and coordinate responses from multiple LLM providers (GPT, Claude, open-source models) in a single workflow. Routes data between different models, aggregates outputs, and enables model comparison or ensemble approaches without writing code.
visual workflow builder with conditional logic
Design application logic using a drag-and-drop interface with nodes for LLM calls, conditionals, loops, and data transformations. Eliminates the need to write code while supporting complex branching and decision trees.
multi-provider llm cost optimization
Route requests to different LLM providers based on cost, latency, or quality requirements. Enables intelligent model selection to optimize spending across multiple APIs.
user input collection and form building
Create forms and input interfaces to collect user data that feeds into workflows. Supports various input types and validation without coding.
workflow collaboration and sharing
Share workflows with team members, manage permissions, and collaborate on workflow development. Enables multiple users to build and iterate on the same application.
instant app deployment
Automatically deploy built workflows as live applications without requiring DevOps knowledge or infrastructure setup. Eliminates the gap between building and shipping by providing immediate hosting and endpoint generation.
chatbot creation and deployment
Build conversational AI applications with multi-turn dialogue support, context management, and LLM integration without coding. Deploy as web widgets, APIs, or standalone chat interfaces.
content generation pipeline
Create automated workflows that generate, transform, and refine content using multiple LLMs. Chain prompts together to produce polished output from raw input without manual intervention.
+5 more capabilities