Example: You say, “Create a monthly report from our sales data.” A chatbot would explain how to do that. An agent opens the database, retrieves the figures, calculates key metrics, creates graphics, and delivers the finished report.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What is the difference between a chatbot and an agent?”][vc_column_text css=”” text_direction=”default”]Chatbot:<\/strong> Reacts to input, provides answers, has no access to external systems. Each message is processed in isolation.<\/p>\n Agent:<\/strong> Plans independently, uses tools (databases, APIs, email, calendar), executes multi-step workflows, and can evaluate intermediate results and adjust its course.<\/p>\n The crucial difference is agency. A chatbot talks. An agent acts. The next generation of AI solutions are not better chatbots \u2013 they are agents that take on real work.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What are tools in the context of AI agents?”][vc_column_text]Tools are external functions that an agent can call to interact with the real world. The language model alone can only generate text \u2013 with tools, it can retrieve data, perform calculations, send emails, or create files.<\/p>\n Typical tools include: web search, database queries, code execution, calendar management, CRM access, file system operations. The tools an agent possesses determine its capabilities. Tools can be thought of as a craftsman’s instruments \u2013 the expertise is in the mind (model), but without tools, it remains theoretical.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What are sub-agents?”][vc_column_text]Sub-agents are specialized agents deployed by a superordinate agent for specific subtasks. Instead of a single agent doing everything itself, it delegates tasks to specialists.<\/p>\n Imagine a project manager (main agent) who assigns tasks to a research specialist, a data analyst, and a copywriter (sub-agents). Each sub-agent has its own tools, instructions, and area of expertise. The main agent coordinates and assembles the results.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What is a Multi-Agent System (Agent Team)?”][vc_column_text css=”” text_direction=”default”]A multi-agent system consists of several agents working together to solve complex tasks. Each agent has a defined role, specific capabilities, and its own instructions.<\/p>\n Example of an agent team in customer service:<\/p>\n Multi-agent systems are more powerful, maintainable, and reliable than individual, overloaded agents.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What is MCP (Model Context Protocol)?”][vc_column_text]MCP is an open standard, developed by Anthropic, that defines how AI models communicate with external data sources and tools. MCP can be thought of as a kind of “USB standard for AI” \u2013 a unified interface through which various systems can be connected.<\/p>\n Without MCP, every AI integration must be programmed individually. With MCP, tools, databases, and services can be connected once according to a standard and then used by various AI systems. This massively reduces development effort and increases flexibility.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What is Function Calling \/ Tool Use?”][vc_column_text]Function Calling (also known as Tool Use) is the ability of a language model to call external functions in a structured way. The model decides, based on user input, which function to call with which parameters.<\/p>\n Example: You ask, “What will the weather be like tomorrow in Zurich?” The model recognizes that it needs to call a weather API, generates the correct parameters (location: Zurich, date: tomorrow), and processes the result into a natural response. Function Calling is the technical basis for AI agents to act.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”What is an Agentic Workflow?”][vc_column_text]An Agentic Workflow is a work process in which AI agents independently go through multiple steps \u2013 including planning, execution, review, and correction. Unlike a simple question-and-answer process, the agent can assess its own progress and change course if necessary.<\/p>\n Example: “Analyze our last 50 customer complaints, categorize them, identify the top 3 problems, and propose a solution for each.” An agent plans this task, executes each step, checks intermediate results, and ultimately delivers a structured outcome.[\/vc_column_text][\/toggle][\/toggles][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/6″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_margin=”80″ text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”padding-4-percent” column_padding_tablet=”padding-2-percent” column_padding_phone=”padding-2-percent” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” content_layout=”default” gradient_type=”default”][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”padding-4-percent” column_padding_tablet=”padding-2-percent” column_padding_phone=”padding-2-percent” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”center” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”20px” column_link_target=”_self” overflow=”visible” boxed=”true” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” content_layout=”default” gradient_type=”default”][nectar_responsive_text inherited_font_style=”default” font_size_desktop=”3vw” font_size_tablet=”60px” font_size_phone=”35px” font_line_height=”1.2″ text_direction=”default”]\n 60 minutes are enough to understand if and how AI makes sense for your business.<\/p>\n[\/vc_column_text][nectar_cta btn_style=”arrow-circle-animation” heading_tag=”span” link_type=”regular” button_color=”default” text_color=”#8224E3″ text_color_hover=”#A78BFA” button_border_thickness=”0px” alignment=”left” alignment_tablet=”default” alignment_phone=”default” display=”block” display_tablet=”inherit” display_phone=”inherit” link_text=”Request a consultation” url=”https:\/\/nuwai.ch\/en\/#contact”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” 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Getting to know us is worthwhile<\/em>.<\/h3>\n[\/nectar_responsive_text][vc_column_text css=”” text_direction=”default”]\n