"I Have Lived the Next Era of Artificial Intelligence and I Have No Intention of Going Back."

Since the arrival of ChatGPT, excitement around artificial intelligence has significantly increased. As the conversation about artificial general intelligence (AGI) and "superintelligence" becomes more intense, a new term emerges: agentive AI. This concept refers to AI agents designed to automate various digital tasks. Examples include Gems in Google’s terminology, OpenAI’s Custom GPTs, and Microsoft’s Copilot Actions. The goal is for AI to take on the responsibility of performing tasks, either fully or partially.

Companies like Qualcomm and MediaTek are already preparing their processors for the era of agentive AI. However, we still do not have truly functional tools of this kind. So far, most generative AI chatbots have limited their usefulness to the classic query-response process.

In this context, Deep Research emerges as the first agentive AI product in the Gemini family. This tool represents a fundamental rethinking of internet searching. As its name suggests, Deep Research specializes in conducting research in a more controlled manner than a typical Google search. It allows the user to set an outline before starting the search and choose specific sources, which contrasts with Google’s approach, which generally relies on keywords and results in a variety of outcomes, including clickbait and AI-generated jargon.

The customization of searches in Deep Research proves particularly advantageous for journalists, students, researchers, and professionals, as it saves time and avoids trust issues with sources. The tool acts as a "search agent," traversing various sources according to a series of predefined steps, thus facilitating access to relevant information without the typical hassle of conventional searches.

Moreover, Deep Research organizes the information clearly and concisely, eliminating the need to open multiple tabs, which can be cumbersome. The representation of findings includes texts, tables, and key points, all presented in a digestible and applicable manner. This makes Deep Research a valuable option for those needing precise and well-documented references.

Users who have tried Deep Research have expressed both astonishment and relief at discovering its utility and efficiency. Professionals from various fields, from law to journalism, have highlighted how this tool can enrich their work and improve their research flow. The ability to perform searches in natural language and customize queries is one of the standout features of Deep Research, making it less robotic and more accessible.

Regarding value for money, many wonder if a subscription model of $20 per month is justified. However, this investment appears to offer significant value compared to other competing products, in addition to integrating excellently within Google’s ecosystem, maximizing its functionality and convenience for the user.