Tailo AI utilizes artificial intelligence to automate a variety of tasks, making daily operations more efficient. Users can set custom workflows, seamlessly integrate with existing tools, and leverage AI-driven insights to optimize their productivity. Whether it's managing emails, scheduling meetings, or automating repetitive tasks, Tailo AI aims to reduce manual effort and enhance user efficiency.

Agentic Workflow is a declarative framework enabling developers to define complex AI workflows by chaining multiple LLM-based agents, each with customizable roles, prompts, and execution logic. It provides built-in support for task orchestration, state management, error handling, and plugin integrations, allowing seamless interaction between agents and external tools. The library uses Python and YAML-based configurations to abstract agent definitions, supports asynchronous execution flows, and offers extensibility through custom connectors and plugins. As an open-source project, it includes detailed examples, templates, and documentation to help teams accelerate development and maintain complex AI agent ecosystems.