Content Guardian AI
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Don't depend on just one AI checker No single checker can guarantee complete confidence. We integrate with leading AI content detectors to give unparalleled confidence that your content appears to be written by a human. One-click, Eight Checks Demo link story.screenspace.io/2161397443/0cb05324
Content Guardian AI Schema.orgNo features have been listed yet.
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Content Guardian AI's answer
Content Guardian is the first multi-AI Content Detector to connect to multiple content checker services simultaneously. 8 checks in 1 click.
Content Guardian AI's answer
AI is a very fast-paced environment with new advances happening weekly. Not all AI Content Detector models can keep pace. This is where Content Guardian comes in. You can get a much higher level of assurance about the accuracy of the results as we check up to 8 checkers and provide an aggregate score based on our algorithm. We update this regularly so it is reflective of the latest developments in AI LLM.
Content Guardian AI's answer
We have 3 target audiences. Writers, Media publishers and Education.
Content Guardian AI's answer
Next.js PHP Javascritp Node.js
Content Guardian AI's answer
Content Guardian was born out of necessity. We all work with external collaborators and we wanted to have confidence that the content was authentic and original.
We felt having to rely on one AI checker left the business open to a wider margin of risk that it was solely generated by AI, so we started to use multiple AI Content Checkers.
This became very cumbersome for the team, so we decided to create a tool that seamlessly integrates into our workflow whilst connecting to multiple AI Content Checkers. We wanted to build a tool that provides convenience and higher assurance that we can spot unauthentic content.
The tool is ready to be released to the wider world. So here it is!
We will be actively developing the tool with new features and tweaks to make it the best tool it can be.
Based on our record, Schema.org seems to be more popular. It has been mentiond 152 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Google, Bing, Yandex, and Yahoo! Worked together to create Schema.org so you could provide search engines the data they require to understand your content and deliver the most relevant results. - Source: dev.to / 5 days ago
Import Head from 'next/head'; Const RecipePage = () => { const recipeStructuredData = { "@context": "https://schema.org", "@type": "Recipe", "name": "Chocolate Chip Cookies", "image": [ "https://yourcompany.com/photos/1x1/photo.jpg", "https://yourcompany.com/photos/4x3/photo.jpg", "https://yourcompany.com/photos/16x9/photo.jpg" ], "author": { "@type": "Person", ... - Source: dev.to / 8 days ago
Export class AboutComponent { private renderer = inject(Renderer2) private rendererFactory = inject(RendererFactory2) ngOnInit(): void { this.renderer = this.rendererFactory.createRenderer(null, null); this.addStructuredData(); } addStructuredData() { const script = this.renderer.createElement('script'); script.type = 'application/ld+json'; script.text = ` { "@context":... - Source: dev.to / 27 days ago
{` { "@context": "https://schema.org", "@type": "Article", "headline": "${post.title}", "image": "${post.image}", "author": "${post.author}", "publisher": { "@type": "Organization", "name": "My Blog", "logo": { "@type": "ImageObject", "url":... - Source: dev.to / about 1 month ago
Jsonresume-component is a web component that generates your resume with microdata following the Schema.org vocabulary set. It's custom element is and it fetches a resume.json file following the JSON Resume schema to create your resume. HTML is created from using the jsonresume-theme-microdata theme, creating a resume documented with microdata following the Schema.org vocabulary set. - Source: dev.to / about 2 months ago
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