AI Agents.
AI Agents are autonomous AI systems that can independently plan, execute, and optimize tasks — without human step-by-step instructions. They combine Large Language Models with tools and data sources to handle complex workflows automatically.
AI Agents — Explained in Detail
AI Agents (also: autonomous agents) are AI-powered software systems that independently pursue goals while making decisions, using tools, and working iteratively. Unlike simple chatbots that only respond to individual prompts, AI Agents can plan multi-step tasks and execute them step by step — from data research through analysis to final implementation.
In 2026, AI Agents are a dominant topic in the tech sector. Platforms like OpenAI (with Operator), Google (with Project Mariner), and Anthropic offer agent frameworks. For businesses, this means: routine tasks in marketing, content creation, data analysis, and customer service can increasingly be handled by AI Agents. In web development, coding agents already assist with writing, testing, and deploying code.
For Swiss SMEs, AI Agents are particularly relevant for automating content workflows, personalizing customer communication, and analyzing market data. The challenge lies in control: AI Agents must be monitored since they act independently — an aspect known as 'Human-in-the-Loop'. DLM Digital uses AI Agents specifically for SEO analysis and content optimization.
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AI ConsultingFrequently Asked Questions About AI Agents
A chatbot responds to individual messages and provides pre-programmed or AI-generated answers. An AI Agent goes beyond that: it plans multi-step tasks, uses external tools (APIs, databases, websites), makes independent decisions, and works iteratively toward a goal. An agent could, for example, independently conduct an SEO analysis, create improvement suggestions, and implement them.
The most important AI agent platforms in 2026 are: OpenAI Operator (autonomous browser interaction), Google Project Mariner (web automation), Anthropic Claude with Tool Use (analysis and code), as well as specialized agents for marketing (Jasper), SEO (Surfer AI), coding (GitHub Copilot Workspace), and customer service (Intercom Fin). Many companies are also building their own agents with frameworks like LangChain or CrewAI.
Yes, increasingly so. AI Agents can automate repetitive tasks for SMEs: creating social media posts, answering customer inquiries, analyzing data, or generating reports. Getting started in 2026 is accessible thanks to SaaS tools. Important: Start with a clearly defined use case and monitor the results — AI Agents are powerful but need supervision.
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