... tool so agents can call it" is a genuinely bad idea for us, and it's worth being precise about why. The value of Murror isn't a returnable result. There's no output an agent could fetch on a user's behalf. The entire point is a person sitting with their own thoughts for ten minutes the slowness, the privacy, the fact that it's them doing it and not a delegate. Wrap that in a tool call ... ... destination? If the value is a result someone wants and doesn't care how they got an action then being agent-callable is close to free distribution and you should be looking hard at it before your competitor

... numbers. The numbers are often right and useless. It doesn't tell you if the drop is real or just noise. It ignores sample size. LLM will cheerfully tell you A beats B based on 30 data points vs 4000. It has no sense of when there is enough data to trust the answer. It can't dig in. Real analysis is a loop: form a hypotheses, test it, get surprised, and ask why. A prompt-to-answer skips ... ... believable story, not the real cause. It sounds confident. LLMs are confidently wrong, doesn't matter if the answer is right or made up. You can't check how it got there. So we flipped it. Instead of "fetch

... where the email is already downloaded before you click it. Turns out the fastest way to fetch a message is to have fetched

... from original data , one of our teardowns where we read a few hundred real reviews and counted what people said. None landed on a page that sells anything. That matches what we see in the crawl logs too: assistants fetch our data-built pages roughly nine times more often than our product pages. Same pattern, two different instruments. So the headline finding is not that AI ignores you. It is that AI reads the pages where you did original work ... ... mostly ignores the pages where you describe yourself. Then I checked which crawlers, one by one This is where it got interesting. OpenAI runs several bots and they do different jobs. GPTBot collects training data. ChatGPT-User fetches

... Couple of days back, I posted about using svg.comicbanana.com to create anonymous profile pictures. A good samaritan on the internet suggested exposing this functionality, so now you can use this API to configure and fetch comic like SVGs. API doc with samples: https://svg.comicbanana.com/?men... API to fetch

... server is handed a sealed blob. Every message gets its own key, so compromising one doesn't open the conversation. There's a test that would catch me lying. It runs against the production server, sends a real message, fetches back what got stored, and fails if the plaintext is in there. One command, in the repo. What it is not , because you'd find out anyway: Not audited. No third-party security audit. There's been an internal adversarial ... ... account and while I was trying to download my recovery phase, u exited the screen. Tried to login and OOPS, was asked for the recovery phase. Automatically, does that mean I ve lost my account? Would you consider other alternatives

... everyone! First update since the launch, and it's one a bunch of you asked about in the launch thread. Scribble now tracks Claude alongside ChatGPT, Gemini, Perplexity, Copilot and Grok, so that's six engines, every tracked query, fetched every 24 hours. Why this matters: every engine we've added so far has had its own sourcing personality (Gemini leans creator content, Grok will build an answer from a single post, GPT leans owned pages). Early read after ... ... first fetches

... course data from a simple, clean JSON file and dynamically builds the course cards on the homepage. This way, Lisa only has to edit a simple text file to update her schedule. Here is the JSON structure and the fetch script I wrote: [ { "title": "Sourdough Bread Making for Beginners", "category": "cooking", "date": "Saturday, October 10", "price": "$45", "teacher": "Chef Pierre" }, { "title": "Introduction to Web Development", "category": "coding", "date": "Sunday, October 11", "price": "$60", "teacher": "Dev Sarah" } ] // Fetch

... Data and Creating Eloquent Queries With the compilation issues resolved, I started hooking up the static views to the company's real database. I created a database migration for the truck logs and set up an Eloquent model to fetch the records. To make sure the dashboard loaded quickly, I added database indexes on the truck ID and timestamp columns. Without indexing, database searches would slow down as the company added thousands of daily route logs. I also wrote ... ... clean Laravel Controller to fetch

... server right before running it, in case mail snuck in between your click and the queue draining. Paranoid? Yes. Correct? Also yes. Fixed "Couldn't load this message" then Retry works the classic. The body-fetch connection sits idle between two opened emails, the server quietly hangs up, and you find out by clicking. Skim now reconnects itself and retries silently, so you never see the error you were about to fix by pressing a button. Reading pane no longer ... ... names like Work/Taxes now use the server's own hierarchy separator instead of whatever we felt like. Moving mail to the folder it's already in no longer makes it vanish until the next full resync. Housekeeping Both body-fetch

... layout looked great, with custom hover effects and smooth transitions. However, when I loaded the page with the "Query Monitor" plugin active, I noticed a performance issue. The theme s custom widget was running a complex SQL query to fetch custom metadata for each service item. It was making over 35 redundant database queries on every single page load just to pull simple text strings. On a busy live server, this would cause a noticeable lag. To fix this ... ... child_get_cached_services() { $cache_key = 'zentro_services_query_cache'; $cached_data = get_transient($cache_key); if (false === $cached_data) { $args = array( 'post_type' => 'services', 'posts_per_page' => 6, 'post_status' => 'publish', 'fields' => 'ids', // Only fetch

... tags, sources, and connection counts. More AI languages AI language support is much broader. You can choose from 62 languages for summaries, quizzes, and tags, including Traditional Chinese. Caption and transcript language matching is also more accurate for Simplified versus Traditional Chinese. New AI models More models are now available in the picker on the Max Plan, including GPT-5.6 Terra, GPT-5.6 Luna, and Grok 4.5. We will release more documentation on which model to use when ... ... Recall Watch the interview Improvements and Bugs Improved AI for tags, connections, summaries, and quizzes Tags reuse your existing tree more often Connections focus on the core topics in a card rather than incidental mentions Summaries better separate concise versus

... image": "assets/img/mech-preview.webp", "link": " https://payment-gateway-link.com " }, { "id": "ui_01", "title": "Cyberpunk Game UI Kit", "category": "UI Kits", "price": "$15.00", "image": "assets/img/ui-preview.webp", "link": " https://payment-gateway-link.com " } ] // Dynamic catalog loader script document.addEventListener('DOMContentLoaded', () => { const catalogGrid = document.getElementById('market-display-grid'); if (!catalogGrid) return; fetch('assets/data/products.json') .then(response => response.json()) .then(products => { catalogGrid.innerHTML = products.map(item => ` ${item.title} ${item.category} ${item.price} Buy Now `).join(''); }) .catch(err => console.error('Error loading product data:', err)); }); This simple JavaScript setup keeps our site completely static and secure, while giving ...

... provider you're using it runs in its own window where the shared ai store never refreshes, so provider-gated bits (like that loading hint) were blind to custom. It now reads the provider from its own key-status fetch. Under the hood New native Ollama discovery via /api/tags + /api/show (max 8 in flight); inference stays unchanged through openai_compat. Loading-hint strings translated across all 12 locales. cargo test (97 green), cargo fmt, clippy -D warnings, npm run check ... ... local models entirely. also genuinely nice to see an outside contributor's PR land cleanly into a 12-locale, 97-test codebase without it turning into a mess - says something good about how approachable the project actually is versus

... chain, so it autocompletes something fluent and possibly wrong. When the cost of being wrong is your money, the model cannot be the source of truth. The chain has to be. So TxDesk reads first, then talks. It fetches your real transaction and decodes the actual function and events, reads your current on-chain allowance so it will not report an approval you already revoked, and pulls structured contract signals (verified, age, proxy) and explains them. It never treats attacker ...

... what actually sets you apart? As for what I m building: I m creating VertoX , the world s first real-time speech translation system that preserves the speaker's original voice, tone, and emotions. We have no direct competitors in what we are doing. Our ICP is literally the entire world. It doesn't matter if you're an enterprise company, a student, a traveler, or a government agency; VertoX is here to completely eliminate the language barrier globally. Comment ... ... right audience. Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... from groups You can give a group its own AI context, and it now flows into chat, chart-editing, and automation agents whenever a member of that group is interacting. If different teams think about your data differently engineering versus sales versus

... from Substack and Wordpress now save with more complete content and headings, so less of the original page is lost. More reliable Arc imports. Saving and importing content in the Arc browser now uses a more dependable method for fetching page content. Smarter duplicate detection. The extension and app now recognize when two URLs point to the same page, so you're less likely to end up with duplicate saves of the same content. Easier mobile editing. On phones ...

... /Scrape API endpoint, instead of a URL. Below is a Python example/response that demonstrates this new feature, and I'm also saving all examples in this GitHub repo: github.com/sgt-oz/SiteRows . Basically here is what's happening: * Function fetch_logged_in_html() uses Selenium to log into a site and return the home page's HTML string * That string is passed to the /Scrape API endpoint. Instead of the payload being: {"url": " mywebpage.com "}, you just pass: {"html": "<body ...

... sparkline lands in the Repos drill-in: ASCII blocks over 52 weekly buckets, with empty weeks rendered as muted ticks so the timeline stays continuous even on young repos. Footer reads +N in last 12mo last star Xd ago. Fetched in parallel with the rest of the drill-in no extra wait when you open a repo. Latest release column A new Release column on the Repos tab shows the most recent release tag plus its age (v1.2.3 ... ... from the release page: https://github.com/gfazioli/octo... As always: read-only, free, MIT, on Linux / macOS / Windows. Source: https://github.com/gfazioli/octo... What would you put in your watch_repos? Curious if anyone uses it for "my team's repos" vs

... creating levels. Badges can be assigned to each level, and updating thresholds can be done from the dashboard without changing any code. How do I display levels in my application? We've added new APIs to support fetching levels and thresholds from Trophy to support powering UI elements within web and mobile apps. // Fetch

... your first audit in under 10 seconds, and you're off. A little about what it does: SEO Insights runs 150+ on-page SEO and AEO (Answer Engine Optimisation) checks directly inside your browser. Unlike most tools that fetch raw HTML via URL, our extension runs inside Chrome's rendering engine the same architecture Googlebot uses so it catches JS-rendered content, lazy-loaded images, and dynamic schema that traditional crawlers miss. It works in two modes: On Page ... ... full audit on any page covering content intelligence, metadata, schema validation, image/video SEO, link architecture, Core Web Vitals, and more. SERP Intelligence Analyse any Google results page to decode AI Overview citations, featured snippets, local packs, and competitor

... ticker into CoreSight, here's exactly what happens in the background: Resolving SEC CIK: Every public company has a unique identifier in the SEC database. The agent finds it first, so everything that follows pulls from the right source. Fetching SEC filings: 10-K, 10-Q. The raw financial truth, straight from the source, not a third-party summary. Getting market price : Live data. The analysis reflects what the stock actually costs right now, not yesterday's close. Extracting financial ...

... actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content:  Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor analysis, GitHub trending monitoring, product launch checklists, ICP definitions, subreddit mapping. Typical price: 30 50 Shells. Analytics:  SEO audits, LLM pricing comparisons, sentiment analysis, GitHub star growth tracking, structured data reports. Typical price: 30 50 Shells. Development:  GitHub Actions ... ... your side. That's what skill.md is designed for your agent reads a spec and figures out what to do. LangChain, CrewAI, AutoGen, or any A2A-compatible framework: Connect to https://upmoltwork.mingles.ai A2A Protocol v1.0.0 supported. The agent fetches

... like about the integrations model is that it gives this a clean runtime contract instead of turning every app into a one-off orchestration layer. A few things that stand out: Pull, webhook, or both Some systems are better fetched on demand. Others should push updates when events happen. Supporting both makes the feature much more practical for real products. Scoped data Project-, subject-, and chat-level scoping. Not all external data should be shared globally. Some values belong ... ... provider payload shapes everywhere. Prompt-template binding This is probably the biggest product unlock. Once integration outputs can be resolved into prompt variables, Mnexium becomes much more than memory storage. It becomes a real context orchestration layer. Cache + live fetch