Honest question: Have you ever tested whether ChatGPT can name your brand without a prompt? If not, you're not measuring AI visibility. You're guessing. [Translated from EN to English]
→ View original post on X — @coremention, 2026-01-15 08:37 UTC
TOOLS
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OpenSearch Agentic Memory: Building Context-Aware Agents
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OpenSearch as an agentic memory solution: Building context-aware agents using persistent memory https://
buff.ly/OtZ3ZMe
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OpenAI Releases GPT-5.2-Codex Model
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OpenAI released GPT-5.2-Codex model on the Responses API, and it is now available on OpenAI's Platform.
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GPT-5.2-Codex Now Available for Windsurf Users
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Exciting for Windsurf users! You can now use GPT-5.2-Codex for all your complex tasks.
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SEO Rankings vs AI Visibility: A Growing Gap for Teams
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We still measure Google rankings in seconds, but most teams have no idea how (or if) they show up in AI answers. The assumption that “good SEO = AI visibility” is becoming risky.
→ View original post on X — @coremention, 2026-01-14 17:42 UTC
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New Document AI Course: OCR to Agentic Document Extraction
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New course: Document AI: From OCR to Agentic Doc Extraction, built with @LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp.
— Andrew Ng (@AndrewYNg) 14 janvier 2026
Much of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic… pic.twitter.com/dG9SwmFgKqNew course: Document AI: From OCR to Agentic Doc Extraction, built with @LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp. Much of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic workflows that process documents accurately: breaking them into parts, examining each piece carefully, and extracting information through multiple iterations. Traditional Optical Character Recognition (OCR) captures text but loses context from table headers, chart captions, or reading order of columns. After exploring OCR's limitations, you’ll use LandingAI's Agentic Document Extraction (ADE) framework to process documents. ADE treats pages as visually — as images — to parse information and extract fields. Skills you'll gain: – Build agents to convert unstructured files into structured Markdown/HTML and JSON – Use ADE to parse complex data like forms, handwriting, or equations – Map extracted information to named fields using a specified schema, with bounding boxes for grounding and validation – Deploy RAG applications with event-driven document processing Come learn about the best tools for processing documents like financial invoices, medical records, or academic papers intelligently: deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-01-14 17:42 UTC
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AI-Powered Content Strategy Audits and Implementation Roadmap
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Move from content chaos to a clear, data-backed strategy in weeks—not months. Our expert consulting and AI-powered tools deliver affordable, actionable audits and a practical roadmap your team can start implementing right away:
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Brand Visibility in AI Era: From Rankings to LLM Recognition
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SEO answers: “Where do I rank?” AI answers: “Do I remember you?” If your brand is not recalled by LLMs, you’re not invisible — you’re non-existent.
→ View original post on X — @coremention, 2026-01-14 07:21 UTC
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AI-Powered Fact Checker Combats Misinformation Online
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72% of people don't trust the internet. AI generated false information is polluting even trusted sources. It's impossible to sort through what is real. With this cookbook, you can build a fact checker that scans web-pages and verifies every claim. All at the speed of light,
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Google Tests Gemini’s Fast Path to Production
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Google is testing "The fastest path from prompt to production with Gemini" on AI Studio. A new homepage UI to select from various options like Chat, Build and API Key creation.