Actions
Actions are the steps an AI agent takes to progress toward its goal. Each action uses one tool or produces one output.
8 min•By Priygop Team•Updated 2026
Types of Agent Actions
- Information gathering: searching the web, reading files, querying a database
- Computation: calculating values, analyzing data, running code
- Content creation: writing documents, generating code, creating summaries
- Communication: sending emails, posting messages, creating notifications
- File management: creating, reading, editing, deleting files and folders
- API interaction: calling external services to retrieve or submit data
- Decision making: evaluating results and choosing the next step
- Error recovery: handling failures by trying alternative approaches
The Action Loop
The core mechanism of most AI agents is an action loop:
- 1Observe: receive the current state and goal
- 2Think: decide what action to take next
- 3Act: execute the chosen action using a tool
- 4Observe result: see the output of the action
- 5Evaluate: has the goal been reached?
- 6If not: go back to step 2 with updated information
- 7If yes: report the result to the user
This loop is sometimes called the ReAct loop (Reason, Act). The agent alternates between reasoning (deciding what to do) and acting (doing it).
Diagram
Loading diagram…
Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Key Takeaways
- Actions are the steps an AI agent takes to progress toward its goal.
- Information gathering: searching the web, reading files, querying a database
- Computation: calculating values, analyzing data, running code
- Content creation: writing documents, generating code, creating summaries