... feed your imported password vault into assistant training or semantic memory.  If you voluntarily put secrets into chat, or a page visibly shows them, that s a different path and we think you should know that. Onboarding copy vs. what ships today Our welcome flow includes an option described as importing  cookies and login data  (saved passwords, stay signed in). We re being transparent here: that screen  records your choices as preferences ;  full automatic migration ... ... testing Oasis: What would  proof  look like to you architecture doc, settings screenshot tour, independent review? Did you import passwords from another browser how did the flow feel? Anything in the table above that still feels fuzzy

... agent Drag from the Explorer or Changes panel into a terminal. Claude and Gemini get @src/foo.ts, Codex gets the absolute path. Drag a screenshot from Finder and it lands as [Image #N] in Claude Code automatically. Find in Files VSCode-style multi-line content search across the project. Regex, case, whole-word toggles. Results group by file, jump to exact line and column. File viewer with syntax highlighting Shiki-powered, theme-aware, opens any file from Explorer or a search ... ... Markdown renders. Inline diffs now highlight ranges, not whole lines. Cmd+K palette + Settings as a tab Fuzzy

... Cost of Limited Vocabulary Here's something neuroscience keeps proving but nobody talks about: You can only think about what you have words for. This isn't poetic. It's literal. When you lack precise vocabulary, your thinking becomes fuzzy. Imprecise. You can't hold complex ideas clearly in your mind because the words to describe them don't exist in your mental toolkit. Let me show you what this looks like in practice: The Business Decision That Went Wrong ... ... more creative deals Someone without those words keeps making the same offer in different packages 3. How you evaluate trade-offs Rich vocabulary = you can hold multiple competing values simultaneously Limited vocabulary = you collapse complexity into binary thinking Pragmatism vs

... controlled, AI-ready chunks. We don't just "parse" files. We treat them like code repositories. The "Git-Like" Magic (How we save you 90%) When you upload a file to Raptor Data, we use Structure-Aware Chunking and Fuzzy Deduplication . If you upload Contract_v2.pdf: We recognize that pages 2-500 are identical to v1. We detect that Paragraph 1 has a typo fix. We return a JSON Diff : { added: 0, removed: 0, unchanged ... ... embed that document. Auto-Link: Intelligent Version Detection Forget to pass the parent_id? No problem. Raptor uses content fingerprinting and fuzzy

... Bridge the gap between idea and execution. Generate structured, build-ready prompts for Lovable & Base44 even if you re not technical. That s why we built Fuzzy AI your personal AI architect. Here s how it works: 1 Enter your app idea. 2 Fuzzy

... guys, I ve been trying out Fuzzy AI, and it s been surprisingly helpful for me as someone with ADHD. A big issue I run into is that when I talk through ideas, they come out messy and unstructured. I ll go on tangents, circle back, and by the time I finish I can t really use what I said. The core of Fuzzy

... Andrew, creator of Flookup Data Wrangler , a lightweight yet powerful Google Sheets add on built in 2019 that is consistently rated #1 for data cleaning. What Flookup does Flookup enables smarter data cleaning without leaving Sheets: Fuzzy lookup and merge by percentage similarity , sound similarity or semantic (meaning based) matching Strip punctuation, diacritics and stop words before matching Highlight or remove near duplicates, even with typos or inconsistent formatting Calculate similarity scores between any two text entries based on percentage ... ... find their semantic meaning using AI Extract unique values based on threshold similarity levels Combine lookup values to increase specificity when data contains similar strings New enhancements I recently added semantic fuzzy

... asked: How do you track and improve your brand s visibility inside these AI black boxes? What MentionedBy AI does: Tracks how often and how positively your brand is mentioned across top AI models Compares you with competitors on visibility, sentiment, and hallucination risk Flags sudden drops (e.g., if Claude stops mentioning you overnight) Sends real-time alerts when you re misrepresented or omitted Gives you an AI visibility score across platforms (we call it AEO: Answer Engine Optimization) Under ... ... hood: We query models via OpenRouter & native APIs on a schedule Analyze responses with OpenAI + Cohere embeddings Use semantic matching to catch fuzzy