AI Workflow
Design and visualize AI agent workflows, chain prompts, build multi-step pipelines, and document AI-powered features. Tools for architecting production LLM applications.
CHNAI Prompt Chain BuilderNEW
Design multi-step AI prompt chains with variable references between steps.
FMTAI Output FormatterNEW
Auto-detect and format LLM response text as JSON, Markdown, code, or plain text.
PLVAI Pipeline VisualizerNEW
Visualize AI prompt chain JSON as a vertical flowchart.
CMPAI Response ComparatorNEW
Compare AI model outputs side by side with metrics.
FAQ
- What is an AI agent?
- An AI agent is a system that uses an LLM to autonomously plan and execute multi-step tasks, using tools like web search, code execution, or API calls. Agents can loop, branch, and adapt based on intermediate results.
- What is prompt chaining?
- Prompt chaining is the technique of passing the output of one LLM call as input to the next. It breaks complex tasks into manageable steps, each with a focused prompt, improving reliability over single large prompts.
- How do I design a RAG pipeline?
- A Retrieval-Augmented Generation (RAG) pipeline retrieves relevant documents from a vector database and includes them in the prompt context before asking the model to answer. The workflow tools here help you visualize and document each step.