Agentic Workflow
Agentic Workflow refers to AI systems that don't just answer questions but actively perform tasks. Instead of a single prompt-response loop, an agentic system can plan steps, use tools (like web search or code execution), inspect its own results, and iterate until the job is done.
Why it Matters
it shifts AI from a chatbot to a semi-autonomous worker.
Top AI Tools Using Agentic Workflow
Discover the best tools that leverage this technology
How It Works
- 1
Built on 'ReAct' (Reasoning + Acting) patterns.
- 2
These systems rely heavily on function calling capability and maintaining state/memory across multiple steps.
- 3
They operate in a loop: Perception -> Planning -> Action -> Observation -> Correction.
Real-World Example
When using Cursor (the code editor), the AI doesn't just write a snippet; it scans your file tree, finds related bugs, runs terminal commands to test the fix, and iterates if the test fails. That is an agentic workflow.