

Frequently asked questions
What are the different levels of AI intelligence?
AI can be thought of in terms of different levels of intelligence:
Artificial Narrow Intelligence (ANI): Less than human intelligence, built for specific tasks. Almost all current systems are at this level.
Artificial General Intelligence (AGI): Equal to human intelligence; theoretical at present.
Artificial Super Intelligence (ASI): Would surpass human intelligence, being all-encompassing .
What are the functional differences between AI Chatbots, Agents, and Agentic AI?
The primary difference lies in their level of autonomy and ability to execute tasks:
AI Chatbots: These are reactive and conversational, designed primarily to have dialogues with users. They have no autonomy and are limited to simple, single-turn tasks, like answering FAQs.
AI Agents: These are proactive and goal-oriented systems that can perceive their environment, plan, reason, and take a series of actions to achieve a specific objective. They have a higher degree of autonomy, can use external tools (like APIs or web browsing), and retain context ("memory") for multi-step tasks.
Agentic AI: This is a more sophisticated framework that involves orchestration of multiple AI agents working collaboratively to achieve complex, end-to-end goals. It operates with a very high level of autonomy and adaptability, acting as a "manager" to coordinate specialized functions.
What are the core strengths of the most popular AI chatbots?
The core strengths of the four most popular chatbots are:
OpenAI’s ChatGPT: Excels in creative writing, summarizing complex documents, generating code, and providing nuanced conversation due to the GPT-5 model. It is highly versatile.
Microsoft Copilot: Offers deep and seamless integration into the Microsoft 365 ecosystem (Word, Excel, Teams), making it strong for in-context help inside Office apps and quick web-connected answers. It inherits existing enterprise security settings.
Google Gemini: Features a native multimodal architecture (understanding text, images, video, code) and leverages real-time Google Search for strong factual grounding. It is known for fast responses.
Anthropic's Claude: Built on a "Constitutional AI" framework, positioning it as an "ethical alternative". It offers exceptional performance for tasks requiring a very large context window, such as analyzing multiple large documents or providing detailed multi-step explanations.