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Autonomy

As explained in Build an AI Agent (From Scratch)

Autonomy is the capacity of a system to determine and continue its own actions without a predetermined sequence controlling every step.

Autonomy is an agent’s capacity to determine and continue its own actions instead of following a predetermined sequence. The agent assesses the current context, chooses a tool or action, observes the result, and repeats until the task is complete. section 1.3.2

A practical autonomous agent follows a continuing control loop:

  • Assess the current state and progress toward the goal. section 1.3.2
  • Choose whether a tool helps, then select the tool and its parameters. section 1.3.2
  • Execute the action, observe its result, and decide whether to continue or stop. section 1.3.2
  • Ask for clarification only when the user’s intent is genuinely ambiguous; otherwise execute immediately. section 2.3.2
  • Extend the available capabilities by generating and executing a custom tool when predefined tools cannot handle the requirement. section 1.3.2

Weather request

For “What’s the weather like in Seoul today?”, an autonomous agent searches immediately when a web-search tool is available, rather than asking whether it should search. A more complex task may continue through many tool calls before producing its answer. section 2.3.2 section 1.3.2

How Build an AI Agent (From Scratch) covers it

How deep it goes
Explains the assess–act–observe–repeat loop and prompt-level ambiguity handling, but does not provide implementation code.
Examples
Uses weather search, calculations, file analysis, multistep research, and generated parsing functions as autonomy examples.
What it assumes
Assumes familiarity with LLMs and callable tools while explaining the agent loop and prompt rules directly.
What you can do after
Configure agents to select tools, execute clear requests, ask minimal clarifying questions, and continue until completion.
How it connects
Connects autonomy with AI agents, LLMs, tool use, system prompts, and external APIs.

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This explainer was generated by Manning's knowledge graph from the text of Build an AI Agent (From Scratch). The section links point to the parts of the book it draws on.