... only rings you for the ones you'd want. Spam and sales calls don't ring your phone. The gap it closes: spam filters just put a label on a call and leave the decision to you. Silencing unknown numbers means you miss the school, the health results, or the delivery driver. This sits in between. You keep your number and your carrier, and the calls that matter ring through live. https://screener.formworksecurit ...

... Following Theodor s question on the previous walkthrough, I added a concrete interrupted-write case and a read-only recovery path. What changed: The operator can distinguish a verified canonical commit, an authenticated no-effect refusal, an unknown outcome and a conflicting request identity. The participant and standalone MCP consumer can recover an already-saved result without sending another write. The Control room marks committed writes beside their route evidence. Unknown

... analyzed touch data across 900,000 mobile sessions. One-handed use: 81% Two-handed: 14% Unknown: 5% Median thumb reach zone: bottom 40% of screen Interactions in top 25% of screen: 9% of all taps Most of our primary actions were in the top right corner, which was the hardest place to reach with a thumb. Users were either using two hands, stretching, or not tapping those actions at all. We had been designing for a screen, not a hand ...

... published September 18 acceptance record includes a useful negative check: with the containers stopped, verification returned INCONCLUSIVE instead of reusing an earlier passing result. For operators, preserve the failed run's records and inspect the uncertainty. Automatic reconciliation of unknown outcomes is not implemented; deleting state is not a recovery procedure. These are documented mechanisms and historical checks of an owned reference using artificial resources, not a new release or proof of production protection or AI deception. Operation guide ... ... before dispatch gives the responder a starting point when execution is interrupted. DungeonQ is designed to create time for investigation; that time is more useful when people or authorized AI agents can reconstruct what was attempted and what remains unknown

... compared against numbers typed into the suite itself, so the whole thing stayed green on a machine the table had never heard of which is precisely the broken state. One of them even asserted that the next macOS was unknown, so it would have passed by agreeing with the bug. There's now a check that asks the Mac it's running on whether Netfox can name its system. Green today, red the first day someone runs ... ... Adeel Arshad(@_muhammmad_adeel_arshad): Fact that the row disappeared instaed of showing the wrong versions makes this really easy to miss. that a nasty kind of bug. Comment from Giovambattista Fazioli(@gfazioli): @_muhammmad_adeel_arshad  yyyeah, absent vs

... claim to predict the future. It takes a situation you're uncertain about and helps you think through plausible outcomes based on the information you provide. You get: Best case Most likely case Worst case Along with the assumptions, unknowns, warning signs, and factors that could change the outcome. The goal isn't to tell you what will happen. It's to help you be more prepared for what could happen. I'm currently testing the product before launching ...

... history to do this. Here's the fear, stated plainly, because I'd rather hear it argued with than keep circling it alone: 1. Every SaaS is now one feature announcement away from irrelevance. I don't mean "a competitor might launch." I mean an AI lab ships a model update, a checkbox appears in a product 400 million people already pay for, and my entire reason to exist becomes a bullet point in someone else's changelog. I didn ... ... person with an idea. Both camps are extremely confident. Neither of them has to make my rent. 3. The salary was real. The revenue is not, yet. I gave up a known, boring, actually-quite-good number for an unknown

... know." Everything was either a problem or a pass. And the passes were doing a lot of unearned work. So I changed the rules: if the code couldn't actually tell us something, it had to say UNKNOWN . About half the checklist came back UNKNOWN

... problem you can fix and one you can only wait out. My favourite part is what it refuses to say A radio that is off has no band, so those pills are left out rather than filled with "Unknown". A link nothing crossed gets no clean bill of health it has not been shown to be fine, it has not been shown anything. And a router that ignores pings is reported as untimeable, not as a fault, because plenty ... ... been run against real hardware. The tell is small: if the adapter shows a negotiated speed but nothing about the ceiling, its driver isnt publishing what it can do, and the app would rather say nothing than call an unknown

... from the site navbar, the footer and eight sibling service pages, so ten files point at it. I also clicked Request Indexing on it manually three times. Not one of those produced a crawl. Search Console said "URL is unknown to Google, last crawl never" the entire time, right through 30 August. On 31 August it turned up under newly indexed, and I had changed nothing on the page. So the internal link theory I had been working from ...

... worse than none. So: a band it barely saw gets no suggestion, not a hedged one. A "quieter" channel has to be quieter by a real margin. And where macOS gives no noise reading, the signal half reads unknown rather than being assumed good no clean bill of health from a measurement that never happened. A hidden network is now explained, not just labelled Hiding the name is widely believed to be a security measure. It isn't: the devices ... ... dead button and the port is re-read right before anything is sent, because PIDs get reused. More devices say what they are growing the service catalog turned out to be a bug fix: HomeKit accessories were arriving as Unknown

... noticed something while using AI for startup research: It's very good at giving me more things to think about . More features. More customer segments. More competitors. More business models. More growth ideas. At some point, more ideas stop being useful. So I've been experimenting with a different prompt: "Which assumption should I test first?" That changes the output. Instead of getting a longer list, I get something closer to a priority: Assumption Customers have this problem often enough ... ... matters If the problem isn't painful, everything built on top of it becomes less important. What I'd need to learn How often the problem occurs, what people do today, and whether they have already paid for an alternative

... could have. And I still don't have a clean answer on the verification-method question, because the honest version is that I don't yet know what I'd do differently with a government-ID-checked 16 versus a self-declared one. I'd rather say that than write a paragraph pretending I've resolved it. The thing I am confident about is narrower. The signal is sparse for a long while yet. Texas only covers accounts created after ... ... state coverage is new accounts only, and users can decline to share. So any product logic that assumes you now know everyone's age is wrong, and the interesting engineering question is what your app does in the large unknown

... Unsure . When additional information is necessary, FitBin asks a relevant follow-up question. For example, when a user reports diabetes, the application asks whether it is Type 1, Type 2, gestational diabetes, prediabetes, another type, or currently unknown. FitBin then calculates an estimated daily nutrition plan that may include: Calories Protein Carbohydrates Total fat Saturated fat Fiber Sugar Sodium Water Selected vitamins and minerals These estimates are based on the user s profile, activity, goals, and available health information ... ... users can review and correct the result before saving it. They can change the food name, portion, preparation method, quantity, or ingredients. When confidence is low, FitBin can request another picture, ask a short clarification question, or provide likely alternatives

... save AI tokens Shows you the evidence, not just a guess Recent improvements: Lightsail support (requested by a real user!) AI commit summaries cached and reused Provider failover (Groq Mistral Cerebras) Circuit breakers and anti-flapping logic "Cause unknown from available data" Vigil admits when it doesn't know One thing I've learned: a confidently wrong AI answer during an outage is worse than admitting uncertainty. Vigil is honest about its confidence level. I'm currently refining the organization/workspace ...

... Vigil AI Instead of generating generic AI responses, Vigil now investigates incidents using: Monitoring failures Historical incident patterns GitHub commit summaries Deployment timing Infrastructure context No hallucinated root causes If there isn't enough evidence, Vigil simply says: "Cause unknown from available data." I'd rather have honest uncertainty than confident misinformation during production incidents. AI Provider Queue Behind the scenes, Vigil now uses a custom priority queue with automatic provider failover, retries, circuit breakers, and rate limiting across Groq ...

... will you run it? If you know the procedure and run it often, that's the part worth turning into a fixed, repeatable process instead of re-deciding by gut every time. Let the agent own what's genuinely unknown or one-off, and bound what you already understand. Chained autonomous steps compound errors fast, so the steps you can pin down are exactly the ones you should. Comment from Darly Selby(@darly_selby): I seperate tasks into low medium ... ... head right now which isn't great for consistency. Comment from King Joshua Marcos(@moddy): Honestly just trial and error early on. Let it fully own something low stakes, watched what broke, adjusted from there. The billing/auth vs

... investors ourselves, we found fatal contradictions in pitches that we couldn't inform the founders, as being heavily critical to an unknown hard working founder is really tough. However we were using this internal system that used to guide us with invest-ability in pitches, so we made it into askOdin.app , available for founders and VCs. The systems 100% free for founders as Crucible, in case their pitch gets 85 & above we issue a verify certificate too, that they ...

... Gotta have a look at Alphalytics :) Comment from Nika(@busmark_w_nika): @yashimanskaya  you have a very diverse portfolio of tools, most of them are unknown to me :) Thank you for sahirng :) Comment from Nika(@busmark_w_nika): @ethan_cheng  are there any other alternatives

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... answer. The genius of a Zettelkasten is its ability to take seemingly disconnected ideas and weave them into a living system of knowledge. Rather than just storing text, it maps out your knowledge, highlighting your blind spots, revealing your unknownunknowns, and transforming static notes into actionable insights. However, building a massive, interconnected web of knowledge can easily become overwhelming. To solve this, PendragonX is built with ALICE, a personal AI assistant that navigates the entire ecosystem on your behalf ...

... same-endpoint model suggestions. - Normalized attachment content across OpenAI, Anthropic, DashScope, DeepSeek, Kimi/Moonshot, Gemini, and related coding-agent API Bridge paths. - Added Codex-facing model metadata, context windows, and input modalities for API Bridge-routed catalog models, reducing unknown-model fallback warnings. - Cleaned up Kimi/Moonshot catalog wiring, including Kimi Coding under Moonshot/Kimi and migration for legacy Kimi profiles. Release notes/download: https://github.com/jazzenchen/Vi... Repo: https://github.com/jazzenchen/Vi... Would love your feedback ...

... were only concerned w/ my wellbeing I'd do the same, but when I have others I'm responsible for, and they themselves have mouths to feed, I think differently about the long term effects of my brand vs my company/product. Comment from Gabe Moronta(@mogabr): @kabirsalunkhe   @busmark_w_nika   @deangelo_hinkle   @henry_lindsey  Henry, I don't think you separate it, especially when you built it around your brand/identity. You just sort of outgrow ... ... just hardcoded placeholder nobody measured ) brand-first makes you commit publicly to mechanics system acutally never proven Comment from Piyush Gajrani(@piyush_teq): @busmark_w_nika Most founders don t fail at brand vs

... external/API access no bypass routes. H. AI Generation Fail-closed: if an ingredient can't be resolved to a UUID, generation fails no text fallbacks. AI edge functions return UUIDs for ingredient_id, unit_id, category_id, user_id. Unknown ingredients created in the user-scoped table with proper FKs first. Hard block on any ingredient matching a user allergy. Zero writes to canonical recipe tables; only user-scoped variation tables. Read-only access to canonical recipes for lookup. Default ... ... against an authoritative baseline. Data-quality detection: 3-step fallback chain (FK name canonical-link) plus a curated-source AI block-list. L. Violation Response On any breach: stop log entry (type, root cause, files, prevention) explain propose compliant alternative

... just published a deep breakdown of what "proactive CRM" actually means in practice vs the standard HubSpot reactive database model. The short version: Kobin's CRM runs 4 automated AI intelligence routines you don't configure or trigger manually: Risk Detection (multiple times/day): flags deals stuck 21+ days AND blocked tasks in the same client relationship simultaneously Revenue Intelligence (3 /week): surfaces deals closing this week, high-probability deals (>70%), and stale high-value deals ($5k+) before they ... ... cold Gmail Intelligence (real-time): reads every matched email thread, classifies intent across 8 types (interested ready_to_close objection requesting_meeting), auto-advances pipeline stage, auto-creates tasks from action items, auto-detects new leads from unknown