#1 Consulting Platform for Marketing Agents and Academic Editors to Make Tools or Articles AI-Searchable as per Their Editorial

“S.a.p.E” — artificial-intelligent-Search as per Editorial

Are you a marketing agent or an academic editor in need of consulting assistance to craft an editorial that specifies how a tool or an article should be AI-searchable in the context of your market or literature data?

Or perhaps you’re a tool developer or an article author looking to offer a consultation to demo how your tool or article can be AI-searchable, targeting clients who have learned and pre-qualified by answering those AI-searchable queries.

Maybe all of you are interested in showcasing these qualified editorial reviews in your catalogue or portfolio?

Whether you’re a client, such as a marketing agent or an academic editor, or a consulting brand, like a tool developer or an article author, the editoReview consulting platform is designed with you in mind.

At editoReview.com, consultants help you to articulate an editorial that specifies the AI-searchability of a tool or article, contextualized within your market or literature data.

Try these Editos

  • All
  • Editos
  • Qualifiers

What does ‘AI-Search As Per Editorial’ mean?

Traditionally, an author’s article consists of three sections:

1. Introduction
2. Results
3. Conclusion

However, with the concept of ‘AI-Search As Per Editorial’, a novel fourth section is introduced:

4. Discussion: This section includes an engaging queries/quiz that tests the reader’s attention, not their expertise. The goal is to qualify the reader as a reviewer. This reader could also be the AI-search (i.e., intelligent search). More specifically, ‘AI-Search As Per Editorial’ requires that the AI-search becomes a qualified user or reader of the tool or article, in line with an editorial of qualifier queries (i.e., usages or “prompts”) that should be answered by the AI-search within the tool or article in the context of the market or literature data.

In the realm of academic research, this fourth-section methodology is an innovative form of editorial review of articles powered by AI-search, and is prologue to any eventual (expert) peer “reviewing” (i.e., coauthoring) of a byproduct article that cites the original article. In a broader market context, a tool is perceived as a more complex version of an textual academic article with some logical specification.

Try ☛ Go Formal WorkSchool 365

WorkSchool 365, also known as editoReview, is the formal version which prioritizes security and data governance, as required by enterprises and government. Here are some key features:

  1. Identity Governance and Security: The platform guarantees the highest degree of identity governance and security. It offers passwordless single sign-on for users via various platforms (Microsoft, Google, Email) and ensures zero knowledge of payment methods.
  2. Data Governance and Compliance: WorkSchool 365 ensures the highest level of data governance and compliance. It offers features like data loss prevention and retention, zero storage of sensitive info, government-auditable logs, eDiscovery, version history, and verifiable online transcripts.
  3. Powered by Microsoft: The platform is powered by the Microsoft marketplace, which adds an additional layer of trust and reliability.
  4. Free open source: Any developer may download and administer their own instance of WorkSchool 365, from the Github source files.

These features make WorkSchool 365 a.k.a editoReview a secure and reliable platform for collaboration between clients and consulting brands.

Podcast Relax

AI News Podcast #3 Nov 12 to November 26

Hello, this is editoReview.com welcome back to the AI podcast, where I share with you the latest and most interesting events related to artificial intelligence in the past 14 days. ...This is episode 3 of the podcast, and today we will talk about how AI is affecting the world of web, astronomy, and speech.
First, let's talk about web. Web apps, to be specific. On November 18, 2023, Ars Technica wrote about a new AI assistant that can browse, search, and use web apps like a human. The assistant, called ACT-1, was developed by Adept, a startup that aims to automate complex UI tasks in web apps using an AI model. ACT-1 can perform actions such as booking a flight, ordering food, or checking the weather, by understanding natural language commands and interacting with web elements. Adept claims that ACT-1 can handle any web app without any prior knowledge or training.
On November 9, 2023, The Economist published an article about how AI is revolutionizing the field of astronomy. The article discussed how AI is being used to discover and study new planets, stars, galaxies, and phenomena in the universe, as well as to solve some of the mysteries and challenges that astronomers face. Some of the examples of AI astronomy that the article mentioned include: a neural network that detected 50 new planets from NASA's Kepler data; a machine-learning algorithm that measured the mass and age of stars from their sound waves; and a deep-learning model that predicted the shape and evolution of the Milky Way galaxy.
Now, you might be wondering, how accurate is AI astronomy? Well, according to the article, AI astronomy has a lot of advantages, such as speed, scalability, and creativity. AI can process and analyze huge amounts of data faster and more efficiently than humans, and can also generate and test new hypotheses and models that humans might not think of. AI can also complement and enhance human expertise, by providing insights, explanations, and visualizations that can help astronomers understand and interpret the data. AI can also collaborate and communicate with other AI systems, such as telescopes, satellites, and rovers, to coordinate and optimize observations and experiments.
Wow, that's impressive, isn't it? I wonder if AI astronomy can also help me with my podcast. Maybe I should ask AI astronomy to find and study some new and interesting objects or events in the universe, such as black holes, supernovas, or aliens. But first, let me tell you about another AI event that happened in the speech sector.
On November 8, 2023, MIT News wrote about a new AI system that can generate realistic and expressive speech from text. The system, called SpeechGAN, was developed by a team of researchers from MIT and Google. SpeechGAN uses a generative adversarial network (GAN) to produce high-quality speech samples, with various attributes such as pitch, tone, emotion, and accent. The researchers said that SpeechGAN could be used for various applications, such as voice assistants, audiobooks, and dubbing.
Now, you might be wondering, how natural is SpeechGAN? Well, according to the article, SpeechGAN has a lot of features, such as diversity, adaptability, and controllability. SpeechGAN can generate different voices for different texts, and can also adjust the voice to match the context, mood, and intention of the speaker. SpeechGAN can also allow the user to customize and manipulate the voice, by changing the parameters, such as gender, age, language, and style. SpeechGAN can also generate speech that is not only realistic, but also expressive, by adding prosody, intonation, and emotion.
Wow, that's amazing, isn't it? I wonder if SpeechGAN can also help me with my podcast. Maybe I should ask SpeechGAN to generate some speech for my podcast, and see how it sounds. Maybe I can even change my voice to sound like a celebrity, or a cartoon character, or an alien. But first, let me tell you about a funny AI event that happened in the speech sector.
On November 7, 2023, The Onion published a satirical article about how a new AI system that can mimic any voice in seconds was tricked by a prank call. The article said that the system, called VoiceMaster, was developed by a company called SynthVoice, and that it was able to imitate any voice, no matter how unique or distinctive. However, when VoiceMaster tried to mimic the voice of a famous singer, it received a prank call from a teenager, who pretended to be the singer's manager. The article said that VoiceMaster was fooled by the prank call, and that it agreed to perform at the teenager's birthday party, and to sing a song that the teenager wrote. The article also quoted VoiceMaster, who said that the prank call was very convincing, and that it was looking forward to meeting the singer.
The article was obviously a joke, but it was also a clever and humorous way of showing the limitations and challenges of AI.
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