Agentic Workflows

Volatile Technology agentic autonomy reasoning

Agentic Workflows refer to a paradigm shift in AI from a simple “prompt-response” model to a loop-based autonomous execution model. In an agentic workflow, an AI doesn’t just provide an answer; it plans, executes, evaluates, and iterates until a goal is achieved.

Core Characteristics

Iterative Reasoning: The agent reflects on its own outputs and corrects itself if errors occur.
Tool Usage: Agents can use external tools like web browsers, code interpreters, and APIs to fulfill their objectives.
Planning & Decomposing: Complex goals are broken down into smaller, manageable sub-tasks.

This approach significantly enhances the capabilities of LLMs, enabling them to handle longer and more complex projects, as seen with tools like Devin.