OpenAI's ChatGPT Agent combines deep research capabilities with user-friendly functionality, allowing it to perform complex tasks such as analyzing customer feedback and generating reports. While it offers significant advantages, its use remains less frequent compared to other tools, and it faces competition from browser-integrated AI solutions.

OpenAI has introduced full Model Context Protocol (MCP) support in ChatGPT, allowing developers to use custom connectors for read and write actions within chats. This new feature, available in Developer Mode, enables integration with external systems and APIs, transforming ChatGPT into a programmable automation hub. Developers are advised to exercise caution due to the potential for prompt injection attacks and the risks associated with real write operations.

ChatGPT is primarily used for non-work tasks such as writing and seeking information, with a significant shift toward personal use, while Claude is favored for automation, especially in coding tasks. Both AI tools exhibit uneven adoption across regions, with wealthier areas experiencing higher usage rates, and users prefer automation over collaboration with AI. The findings highlight contrasting user behaviors and preferences between the two platforms.

OpenAI's ChatGPT agent merges the strengths of its previous models, Operator and deep research, enabling it to interact with the web for more effective information gathering and task execution. With enhanced features like a visual browser and API access, the agent can perform complex tasks while prioritizing user safety through measures against adversarial manipulation.

Using AI for keyword research can be challenging, particularly with tools like ChatGPT, which often provide basic and branded results. By utilizing ChatGPT's "Deep Research" feature, users can gain more comprehensive insights by analyzing site content and identifying relevant keywords, ultimately enhancing their SEO strategies.

The upcoming release of ChatGPT-5 promises significant advancements in AI capabilities, particularly in logical reasoning and complex problem-solving. While it offers potential benefits for creatives by assisting in project planning and overcoming creative blocks, concerns persist about job automation and the essence of human creativity.