AI Agents articles
A filtered view of articles related to AI Agents.
22 matching articles · page 1 of 1
AI Agents Are Becoming the New Interface for Work
AI is moving beyond chat toward agents that plan, use tools, and complete multi-step work. Learn what this shift means for teams, workflows, governance, and human review.
From Chatbots to Work Agents: GPT-5.6 and Fable 5
An in-depth guide to the shift from conversational AI to tool-using work agents powered by frontier models such as GPT-5.6 and Claude Fable 5.
How do I build a support bot that does not hallucinate?
A support bot should answer only from approved sources, admit uncertainty, escalate edge cases, and avoid inventing policies, refunds, or technical fixes.
How do I add memory to an AI agent or n8n workflow?
Memory can mean chat history, user preferences, retrieved documents, or stored workflow state. It should be scoped, editable, and limited to what the task needs.
How do I evaluate an AI agent before trusting it?
Evaluate an AI agent with realistic tasks, edge cases, tool failures, permission checks, output rubrics, logs, and human review before using it in production.
How do AI agents use tools, memory, and APIs?
Agents use tools and APIs to retrieve data or act in external systems, while memory helps preserve selected context. Both need permission limits and review design.
What should an AI agent never be allowed to do without approval?
An AI agent should not send messages, spend money, delete files, publish content, change records, access secrets, or contact customers without clear approval rules.
What are good first AI agent use cases for small teams?
Good first AI agent use cases are low-risk, reviewable, and repetitive: research preparation, support reply drafts, CRM summaries, meeting notes, and content repurposing.
When should I use an AI agent instead of a normal automation?
Use an AI agent when the task needs interpretation, flexible reasoning, or language understanding. Use normal automation when the task is predictable and rule-based.
How is an AI agent different from a chatbot?
A chatbot usually answers messages. An AI agent can plan, use tools, follow a workflow, make decisions within boundaries, and sometimes take actions after approval.
What is an AI agent in simple words?
An AI agent is a system that uses a model to reason through a task and may use tools, memory, or workflows to complete steps beyond a single chat response.
AI Agent UX Needs Stop Buttons and Undo Paths
AI UX increasingly depends on interruption handling, error recovery, permission copy, stop buttons, and undo paths.
AI Agents Force Websites to Declare Policies
AI governance now includes regional policy, agent access, tool permissions, model switching, and substitution plans.
Deep Research Is Becoming a Workflow, Not a Button
AI research agents are becoming more capable, but they still need source coverage, verification tables, and careful evaluation.
Agentic Shopping and Booking Need Confirmation UX
Consumer AI agents are moving toward everyday actions such as searching, ordering, booking, and confirming tasks inside familiar apps.
Agent-First Web Research Raises a New SEO Question
AI search and answer engines are changing how content is retrieved, summarized, and judged for usefulness.
Google Maps Ordering Hints at Everyday Agentic Apps
Consumer AI agents are moving toward everyday actions such as searching, ordering, booking, and confirming tasks inside familiar apps.
AI Agent Evaluation Skill: What to Test Before Using an Agent at Work
Learn what to test before using an AI agent at work, including success criteria, failure cases, and human review points.
Best AI Agent Builders for Business Workflows
A criteria-based guide to choosing an AI agent builder for business workflows, covering integrations, permissions, monitoring, and cost.
AI Agents vs Chatbots vs Automations: What's the Difference?
A clear comparison of chatbots, automations, and AI agents, with examples and a guide to choosing the right one for your task.
How to Use AI Agents: Beginner Guide with Examples
A plain-language beginner guide to what AI agents are, how they differ from chatbots, and practical examples for work, research, and support.
How to Evaluate AI Agents and Prompts
Learn how to test AI agents, prompts, custom GPTs, Claude skills, and workflows with evaluation criteria, test cases, scoring, and regression checks.