Agentic experience
Also written: Agentic AI, Agent Experience, AX
An AI system designed to autonomously perform tasks or achieve goals with minimal human intervention.
An agentic experience means an AI can act on its own to get things done. Instead of just answering a question, the AI can take steps to complete a task for you.
For example, an AI agent might be asked to book a flight. It could then independently search for flights, compare prices, and even make the booking, all with little or no further input from you. This is different from a chatbot that just provides information.
Agentic experience refers to AI systems designed to autonomously perform tasks or achieve goals with minimal human intervention. These systems can plan and execute a sequence of actions, often interacting with tools or external environments to fulfill a user's request or objective. The level of autonomy can vary, from simple task execution to complex problem-solving requiring multi-step reasoning and adaptation.
Frontier AI labs are focusing on agentic AI as systems become more capable of acting autonomously to achieve goals. Recent developments show companies working on making these agents safer, more secure, and easier for developers to integrate with existing technology.
- What is Agent Experience (AX)?Microsoft · Microsoft for Developers ·
- Building AX evals that actually workMicrosoft · Microsoft for Developers ·
- Bringing the latest Gemini models to Apple developersGoogle · The Keyword: Developers ·
- Keeping your data safe when an AI agent clicks a linkOpenAI · OpenAI News ·
- Making Claude Code more secure and autonomous with sandboxingAnthropic · Anthropic Engineering ·
- Thinking with imagesOpenAI · OpenAI News ·
- Gemini app: Canvas, Deep Research and PersonalizationGoogle · Google AI: Release Notes ·
- Anthropic Claude
- Anthropic is making its Claude Code agent more autonomous and secure through sandboxing.
- Google Gemini
- Google Gemini is making its models accessible to developers and detailing new agentic features in its app.
- Microsoft Copilot
- Microsoft is focusing on the 'Agent Experience' (AX), guiding developers on how to build and evaluate technology for AI agents.
- OpenAI ChatGPT
- OpenAI is enhancing its AI agents' capabilities, such as visual reasoning, and implementing security measures for when agents interact with external links.
- Chatbot
- A chatbot primarily focuses on conversational interaction and answering
- Automation script
- Automation scripts are pre-programmed sequences of actions, w
- Virtual assistant
- While a virtual assistant can perform tasks, agentic AI impli
The concept of AI agents performing tasks autonomously has roots in early AI research, but the term 'agentic' in the context of modern frontier AI has gained prominence with the development of large language models capable of complex reasoning and tool use.
Ask your AI assistant to perform a multi-step task that requires it to use a tool. For instance, ask it to find the weather forecast for tomorrow and then set a reminder for you to bring an umbrella if rain is expected. Observe how it breaks down the request and uses its capabilities to complete the entire task.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
- HeuristicDouble coding agent task completion with docs linksProviding coding agents with a documentation link significantly increases their task completion rate. · 2 min
Questions people ask
- Can an AI agent make mistakes?
- Yes, AI agents can make mistakes. Their performance depends on the quality of the model, the clarity of the instructions, and the complexity of the task. Safety measures are often put in place to mitigate risks.
- What is the difference between an AI agent and a chatbot?
- A chatbot is designed for conversation, while an AI agent is designed to take actions and complete tasks autonomously, often using tools.
First seen on Subvolts Apr 16, 2025. Updated Oct 13, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.