... have been thinking about a failure mode that permissions alone don t really solve. An agent might correctly decide: Refund this customer $25. But the actual tool call could end up being: $250 instead of $25 the wrong customer the wrong payment method multiple refunds instead of one The reasoning may be fine. The execution may not be. So perhaps consequential agent actions need an intermediate step where the agent produces a structured intent before calling the tool. Something like ... ... exactly will change? What evidence am I using? What parameters should be sent? Then the system can compare that intent with the actual tool call before execution. That creates an interesting distinction: Is the agent allowed to do this? vs

... wasn't the model. It was architecture. Some cards were computing totals in the frontend from whatever records happened to be loaded on screen. Other surfaces were asking the backend for the full count. Both were counting correctly. They were counting different populations. Pagination made it worse. A frontend component could see a single page of results and present that as the total. The fix was unglamorous: move the metrics that matter to authoritative backend counts, so every surface reads ... ... tests across the dashboard, so drift gets caught automatically instead of by whoever happens to notice. What I took from it is bigger than the bug. When people make decisions off your output, a feature being individually correct

... what it is holding. Scoping the credential is exactly that, and it puts the boundary somewhere the agent's blind spot cannot reach. Where I would push: scope bounds the maximum blast radius, not this one. A credential correctly scoped to send customer email still lets the agent send to fifty thousand people, because that is inside the scope. Scope answers could it ever. A gate answers should it now. Neither replaces the other, which is probably ... ... reversibility, when the actual point was that reversibility is a bad gate, not that recovery stops mattering. Gate on reach with no recovery and the failure is worse than before, because now something cleared it. That is a real correction

... almost entirely with AI-assisted tools, and the thing I've found matters most isn't how fast the AI generates code, it's having a real, repeatable way to verify what it actually did before trusting it's correct. A recent example: I had a security researcher report what looked like a real vulnerability. Turned out the AI-assisted fix from weeks earlier had shipped correctly

... likely to end up with duplicate saves of the same content. Easier mobile editing. On phones, it's now easier to add a new line when your cursor sits just above the floating formatting toolbar. Fixed Search now closes correctly. Pressing Escape and clicking the close button now reliably dismiss the search window, which previously could stay open. Tag actions on mobile. The tag actions menu no longer gets stuck after navigating back on mobile. Editor crash on broken tables ... ... Notes containing malformed tables no longer crash the editor when you open them. Math and LaTeX display. Mathematical formulas now render correctly

... count your reframe, corrected for my data model. So: when you discount a near-duplicate approval, do you fix the independence features up front per action-class, or infer them from which conditions have actually diverged in outcome in the ledger so far and if it's inferred, what's your cold-start before a single divergence has been observed? Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs

... place to share workflows, ask questions, and tell us what to build next. Thank you to everyone who joined the AMA. Compare Recall to other tools. We launched a comparison hub, starting with our first head-to-head, Recall vs NotebookLM. See how the two stack up , or browse the full comparison . We'd love your feedback. Improvements & Fixes Cleaner Markdown exports. Notes created in Recall's older format now convert properly when you export to Markdown, so your ... ... doesn't, so your devices stay properly up to date. The browser extension keeps up on dynamic sites. On sites that switch pages without a full reload, like Gmail, Notion, and YouTube, the Recall widget now reloads correctly

... first tool. This caused the SEO to even hamper I guess. So even after getting a huge reach, it did not bring in much fruitful results. Currently I have focused a lot on making corrections so that the SEO picks it up correctly

... branch. Added MiniMax ( minimaxi.com ) to the list of preset model providers. Interaction & Workflow When rejecting a tool call from the assistant, you can now provide a "reason for rejection". This helps the assistant understand your intention and correct its subsequent behavior (#304). Added "Always on Top" and "On Top When Typing" options to chat window (#295). Added global shortcuts for "Pick Visual Element" and "Take Screenshot" (#269). Added a "Maximum Context Rounds" option to control context length ... ... Fixed an issue where the chat window could not be brought up by shortcuts in specific scenarios. Fixed an occasional crash issue that could occur when deleting chat history. Fixed an issue where assistant configurations did not take effect correctly

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... outputs, no subscription Annual plans available on all tiers. ============================================================================ WHAT'S RUNNING UNDER THE HOOD (the stuff that proves it's not just smoke and mirrors) ============================================================================ WHY CLAUDE? =========== Munch runs on Claude Anthropic's flagship model, not a cheaper alternative

... wrong, you fix the page and wait for recrawl. When an AI gets your brand wrong, there's no "recrawl." There's no "fix." There's just millions of users reading incorrect information about you and no way to correct it. Real examples from our data: Example A: SaaS pricing A B2B company updated their pricing in January. In March, ChatGPT was still citing their 2024 prices. Users thought they were hiding costs. Three enterprise deals fell through before they ... ... Damage What we've measured: Impact Average effect Branded search decline after negative AI answer -18% over 90 days Sales cycle extension (due to incorrect info) +23% longer Support tickets related to AI misinformation +37% Trust recovery time after correction

... outputs, no subscription Annual plans available on all tiers. ============================================================================ WHAT'S RUNNING UNDER THE HOOD (the stuff that proves it's not just smoke and mirrors) ============================================================================ WHY CLAUDE? =========== Munch runs on Claude Anthropic's flagship model, not a cheaper alternative. We made a deliberate choice not to cut corners on the AI layer because the AI layer is the product. Long-form content repurposing requires a model that can hold narrative across 800 words, match a brand voice consistently across ... ... different formats, and write something you'd actually publish not something you spend 20 minutes editing into shape. We tested the alternatives

... Rankfender , we've identified clear patterns. Certain content types get cited 3x more often than others. Here are the 7 content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs. average) Best For Comparison pages 3.2x higher "X vs

... quiz was multiple choice only. Now, Recall supports seven question types to test different aspects of your understanding. You choose which types to include when generating questions, and you can also create any type manually. Multiple Choice: Pick the correct answer from several options. True/False: Decide whether a statement is true or false. Fill in the Blank: Complete a sentence by selecting the missing word or phrase. Short Answer: Type the answer from memory with no hints ... ... analyzing this answer right now; it's a match-based system. This will evolve in the future. Matching: Connect related items by drawing pairs. Ordering: Arrange items in the correct

... Research and Development (R&D) tax relief in the UK is a powerful incentive that rewards companies investing in innovation. When prepared correctly, a successful R&D claim can reduce a company s corporation tax or even provide a cash credit but preparing that claim requires meticulous documentation, technical justification, and compliance with HMRC s rules. In this article, we walk through everything you need to know about R&D tax relief claim preparation: from eligibility ... ... Involved the resolution of uncertainty that a competent professional could not easily solve; Used systematic or investigative approaches to resolve that uncertainty. This can include work such as: Developing new software or improving existing systems; Creating prototypes or testing alternative

... everyone, We re excited to share that Aiarty Video Enhancer V2.5 is officially live! Here s what s new: Customizable Color Correction V2.5 introduces a full set of color correction