One-line summary
An AI agent (AI Agent) is a system in which an LLM autonomously plans steps and calls tools to complete multi-step tasks; unlike chatbots, agents can execute actions. Current examples include OpenAI Agents API, Google Antigravity and the agentic phone STEPX Neo.
Basic Q&A
1. What is an AI agent?
An AI agent is a system in which an LLM dynamically directs its own processes and tool usage to accomplish tasks. According to Anthropic's official definition, agents are systems where LLMs decide how to complete tasks, in contrast to workflows that follow predefined code paths. Agents can handle coding, information retrieval, scheduling and other tasks requiring multi-step reasoning.
2. What is the difference between an AI agent and a chatbot?
A chatbot only generates replies; an agent can also take actions. A chatbot produces text based on context without actively operating systems, while an agent is equipped with tool-calling capabilities: it can access external services, execute code, operate systems, and evaluate progress via environmental feedback (tool results) at each step. Example: a chatbot tells you how to book a flight; an agent calls the booking API and completes the reservation.
3. How does an AI agent work?
Agents work on an "LLM + tools + loop" mechanism. Per Anthropic's official description, an agent typically uses tools in a loop: it understands the instruction, plans steps, calls tools for environmental feedback (search results, code execution output), decides the next step based on that feedback, and ends when the task completes or a stopping condition (e.g. maximum iterations) is met. Some implementations pause for human confirmation at checkpoints.
4. What AI agent products are available now?
Major AI vendors have all shipped agent products or development tools. Known examples include: OpenAI's Agents API public beta released on September 10, 2026; Google's Antigravity agent platform (Gemini 4 Argon, released October 13, 2026); Anthropic's Claude Agent SDK and "computer use" reference implementation; and the agentic phone STEPX Neo released on October 13, 2026, running the agentic-native OS Step AOS 1.0.
Advanced Q&A
5. Can AI agents run fully autonomously?
Agents can run autonomously within a defined task scope but usually keep human checkpoints. According to Anthropic's official practice, agents plan and execute independently once the task is clear, but "can pause for human feedback at checkpoints or when encountering blockers"; stopping conditions (e.g. maximum iterations) are recommended to maintain control. The level of autonomy depends on task complexity and the boundaries set by the user.
6. How should a company start using AI agents?
Start with the simplest solution, evaluate, add tools, and only then introduce multi-step agents. Per Anthropic's official guidance, validate simple prompts and retrieval-augmented generation first; prefer predictable workflows when more automation is warranted; build agents only when the number of steps is unpredictable and model-driven decisions are needed. Common frameworks include OpenAI Agents SDK, Google Agent Development Kit (ADK) and Claude Agent SDK.
7. What are the risks of AI agents?
The main risks are error amplification from autonomous execution, unauthorized data access and misuse. Anthropic notes autonomy brings higher cost and compounding-error risk, recommending extensive sandbox testing and guardrails. On regulation, the UK government announced on October 12, 2026 plans to legislate on incidents caused by autonomous AI agents; the EU AI Act requires conformity assessment and human oversight for high-risk AI systems.
8. What is an agentic phone?
An agentic phone is a phone that makes AI task-execution capability the core of the product, not an add-on. The STEPX Neo, released on October 13, 2026, is a representative product: Snapdragon 8-series chip, agentic-native OS Step AOS 1.0, built-in personal agent Step Amoo, natural-language access to nearly 100 ecosystem services (Alipay, WeCom, CapCut, etc.), at an all-in price of RMB 3,999. Compared with ordinary phones, agentic phones emphasize turning intent directly into results.
9. How can individuals use AI agents safely?
Follow the three principles of least authorization, traceability and interruptibility. STEPX described a "trustworthy, visible, controllable and reversible" security framework for its agent: authorization before execution, visible processes, and the ability to interrupt at any time. Practical advice: do not give agents sensitive information unrelated to the task, review agent operation history regularly, and authorize payment or contacts operations separately.