Use cases in ai & machine learning
What teams actually automate here
Patterns drawn from 1.4M source workflows real customers run on Tray.ai.
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AI Agent Development
Build and deploy AI agents and assistants using OpenAI, Anthropic, and AWS Bedrock.
Agent Builder Agent Gateway Tray MCP Observability -
AI-Powered Data Analysis
Use LLMs to analyze data, generate insights, and create automated reporting with natural language.
Data integration Automation Agent Builder -
Content Generation & Moderation
Generate marketing content, product descriptions, and customer communications using LLMs.
Automation API management Merlin Copilot -
Intelligent Document Processing
Extract structured data from documents using AI-powered OCR and natural language processing.
Document processing Automation Data integration -
RAG (Retrieval Augmented Generation)
Build AI applications that query knowledge bases to provide accurate, contextual responses.
Tray MCP Agent Builder Data integration
The platform behind it
Built on Tray.ai
Every workflow in this library runs on the Tray.ai platform. The capabilities utilized most across AI & Machine Learning are listed first.
Agent Builder
Used hereBuild AI agents that act, not just chat.
Agent Gateway
Used hereThe MCP Gateway that pays for itself.
Intelligent iPaaS
Used hereThe iPaaS built for the AI era.
AI Governance
Used hereAI governance built in, not bolted together.
AI Development
Code or canvas. One platform.
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