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Ninja Deep Research: IA agent that everyone can really start using now

2025 is announced as the year of AI agents by venture capitaltechnology giants, and even Time Magazine.

Unlike chatbots, AI agents can do tasks independently for you and identify when necessary. They use a combination of instructions caused, reasoning capacities and real -time data from applications and services you use every day.

Imagine that you are preparing for a meeting. With in -depth research of Ninja Ai, for example, you could automatically bring it together the news of your business competitors and generate an in -depth report on key information and usable recommendations. You can even improve this with an analysis of the industry and expert opinions from various sources, including files, videos and audio.

Sequoia Capital predicted that this year, we can expect to see swarms of agents increase – rather than cut – professionals in this way. They already see cases where agents working alongside sales tripled the performance compared to the time when team members were not involved in the process.

YC believes that the agents will replace SaaS, just as the SaaS has replaced software on site. They see the demand for agents according to a similar model – where individual use for general purposes, such as the cat, will encourage more companies to adopt them as well.

With any innovation at its beginnings, it can often take time to users to undergo practical and daily advantages. On the other hand, applications such as in -depth ninja research already prove that they can offer immediate value to a wide range of needs.

What is deep research and how does it work?

Generally, in -depth research creates and performs a plan to search, analyze and synthesize hundreds of sources online to answer a question. What would take human hours can rather be completed in ten minutes.

There is only one handful of options on the Ninja, Open IA, Google, Perplexity, Anthropic and Monica market. Everyone varies with regard to use, reliability and cost. Some ceiling requests at different amounts vary between $ 20 and $ 200 / month, or take 30 minutes or more to return a response. Others may miss information easily found online, have high hallucination rates and be incompatible with quotes – or do not provide them at all.

The way Ninja approaches market limits is to constantly improve its speed, performance and affordability. Powered by personalized and new generation chips, our in -depth research can manage unlimited requests, offer instant and expert results and offers a flat rate subscription to $ 15 / month. It also establishes a new standard in industry with its superior capacities:

  • Refine or choose from the organized prompts: In -depth research helps you develop optimal prompts for the best results. The platform includes a quick improvement that automatically improves your requests by adding key details and widening the context. In addition, it offers an organized selection of prompts, adapted to areas such as the academic world, development, finance, marketing, public relations / communications and personal subjects.

  • Analysis of several web sources and files: Once you have configured your prompt, Deep Research creates a plan in several steps and plunges into hundreds of sources on the Internet and files, including video and audio content (for example, YouTube or Podcasts). It can even convert the results into personalized reports, summaries, routes, etc. – All in your favorite format.

  • Validate ideas with confidence: In -depth research facilitates the verification of information with quotes and direct links to sources. The platform also shows its reasoning for each stage of its plan, while a new study have found that other models do not do it 80% of the time.

  • Proven to exceed the main models of AI: For each request, in -depth research generates the code to precisely locate information, considerably improving precision and reducing hallucinations. In fact, he surpassed the main models in the field to minimize hallucinations, reaching 91.2% accuracy on the Simpleqa test – one of the best proxies to assess hallucination levels.

How millions of users take advantage of the deep ninja research

Curious to know how millions of people take advantage of our Deep research? Here are some of the many examples of its various use cases:

  • Technical: Analysis of system specifications, external documentation and best practices in the industry to recommend solutions for software integration, API development and safety protocol improvements.

    Try it in ninja: Evaluate system specifications and external documentation for [insert software/product]and recommend best practices to integrate [insert software/technology].

  • Marketing: Evaluates market trends, competitors' strategies, key research terms and content gaps to inform and optimize campaigns.

    Try it in ninja: Analyze market trends for [insert product/industry]Evaluate competitors' strategies and identify key research terms. Highlight the content gaps and suggest improvements to optimize campaign targeting [insert target audience].

  • Product: Summates user interviews, surveys, discussion groups and analyzes to create reports on customer demography, behavior, motivations and challenges.

    Try it in ninja: Combine information from user interviews, surveys and discussion groups to create a customer report [insert characteristics]. Suggest product improvements to [insert product] Comments based.

  • Sales: Identifies the tracks with high potential, the points of pain and the needs of the perspectives, as well as the solutions and the prices of competitors to improve awareness and conclude more transactions.

    Try it in ninja: Analyze the [insert industry/sector]Identification of high potential tracks and pain points and key needs of the company. Evaluate the solutions and prices of competitors, then recommend strategies to launch awareness to initiate prospects for [insert product/service].

  • Advancement of skills: Improves in programming languages, frames or specific technologies by generating in -depth tutorials, coding exercises and summaries.

    Try it in ninja: Create a detailed learning path to advance [insert programming language/framework/technology]. Provide clear tutorials, practical coding exercises and concise summaries to strengthen key concepts and skills.

  • Product comparison: Compare features, specifications, performance and prices to receive hyper personalized recommendations.

    Try it in ninja: Compare features, specifications, performance and prices [insert product 1] And [insert product 2]. Provide a recommendation based on [insert specific needs or criteria]such as [insert feature preference or use case].

  • Travel: Generate routes for destinations, housing, attractions, activities or visa requirements depending on the calendar, budget and preferences.

    Try it in ninja: Suggest the best travel dates for a trip to [insert destination] In [insert month]as well as four -star accommodation options in a budget beach [insert price range]. Identify visa requirements for [insert nationality] and provide a list of recommended attractions and activities.

    The future of AI agents: how Ninja is opening the way

Until now, there have already been many developments supporting the idea that 2025 will be the year of AI agents.

This month, Google announcement The Agent2AGENT (A2A) protocol, a new system that allows agents to communicate with each other, to exchange information safely and to coordinate actions on platforms and business services. The initiative is supported by more than 50 major technological companies, including Salesforce, Paypal, Workday and Cohere.

How could this benefit the use of deep research? A developer could take advantage of it to create and optimize applications using collaborative AI agents. An agent could serve as a coding assistant, by analyzing and extracting relevant code models, while another could access Salesforce APIs to automatically synchronize customer data, update recordings or trigger workflows. A third agent could consult the implementation, debug the code for errors and suggest specific fixes.

As for whether the agents will replace the SaaS or not, this question remains. What we know is that they already transform the way we access, learn and share information. According to MCKINSEYAgents can produce high quality content that reduce review cycle time from 20 to 60%. And unlike previous innovation waves, you no longer have to wait or pay high prices to take advantage of the tools that feed them via Ninja.

Beyond Ninja giving access to the best models in the world, we have just published APIs for in-depth research and our other super-tags. They offer a flexible and profitable way to join us to build powerful products with the best performance at the lowest. Join Ninja Today and discover how it can transform your daily work and applications.

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