... Codex, with both windows and the time to each reset, and a medium one with every agent and the suggestion that matters most. Honest about time: each says when it was read, a window that has reset shows a dash instead of its old number, and an hour-old reading turns faint. Readable without colour: spent and refused are words beside a symbol, for when macOS drains a widget behind a window. Free universal binary macOS 15+ signed and notarized ...

... reply is in English, a hook makes the agent rewrite it. Another time it told me something was fixed without testing it. From this I made a rule: it has to write down how it checked. And dash use was restricted. Has your agent ever brought back something that had already been corrected? How do you make sure that it doesn't? Comment from George Basov(@gbasovv): Same first half, different second half. My corrections also become files, one fact ... ... next to the act and comes with a replacement has held for me; a rule in a general list, read at the start and forgotten by the time the file is open, is the one that drifts. And yes, dashes

... fedulovelena): Hi, I'm the person who's used to use "although, while, however, genuinely, honestly" :D How do I suppose to survive in anti-AI checks now? Comment from Nika(@busmark_w_nika): @fedulovelena  try to find alternative words. E.g. I use instead "however"  "But!" :D Comment from Nika(@busmark_w_nika): @looqreadit_26  and don't forget em dashes

... when something goes wrong. It finds the cause and adds a hook that blocks it before it happens, like a DROP on the database, a force push, editing files directly on the production server, or even a dash in my writing. Those hooks then fire on every session automatically, so I don't have to remember anything. Comment from Neelagiri Chettiyar(@neelagiri_chettiyar): A file, and one boring rule that makes it work: never shorten it. Mine is called HANDOFF.md ...

... drag-and-drop zones or pending states, the Marching Ants Button uses an SVG `stroke-dasharray` animation to create a continuous border flow that looks flawless on high-DPI screens. Traditionally, "marching ants" borders were achieved using jagged CSS dashed borders that didn't animate smoothly across different browsers. Our approach uses a highly precise SVG overlay with the stroke-dashoffset property animated indefinitely. This allows for complete control over the speed, color, and dash

... with a comment saying why. The four other places that built a file name did not. Same defect, fixed in one place out of five. The fix was one small class that every caller uses. It keeps letters, digits, dash and underscore, drops everything else, and falls back to the document type alone if nothing is left. It strips for the file name only. The document still prints exactly what the user typed, because refusing a slash in an invoice ...

... just launched Dash to Cart 2.0 on Product Hunt. For the past two years, we ve been rebuilding around a problem we kept seeing with merchants. Many sellers want something simpler. Marketplaces are great for traffic and discovery, but merchants give up some ownership and control. Traditional ecommerce gives you your own storefront, but it can quickly become a stack of plugins, apps and tools that all need to work together. We felt there should be something in between. That ... ... what we re building with Dash

... everyone, We ve spent the past two years rebuilding Dash to Cart, and tomorrow we'll finally share the new version. A lot has changed. We ve added built-in Discovery, smarter AI tools, Guest Checkout, more payment options, bulk product uploads, deeper analytics, and new growth tools for merchants. But the bigger idea behind 2.0 is pretty simple: ecommerce shouldn t feel more complicated as your business grows. We d really like to hear what you think ... ... were trying Dash

... spent the past two years rebuilding Dash to Cart around a question we kept coming back to. Marketplaces are great at discovery and traffic, but merchants give up some control over the customer relationship. Running your own ecommerce store gives you more ownership, but discovery is harder, and the tech stack can quickly become complicated. We felt there should be something in between. That idea became Dash

... this format. Score: 0 to 100, where 100 means certain it was written by AI. Reason: three lines maximum. What to fix: be specific, or say none." Alongside it there is a plain word list that fails automatically: em dashes, delve, leverage, seamless, robust, game-changer, unlock, at the end of the day, in today's world, it's worth noting, not only X but also Y, Great question, Absolutely!, I hope this helps, in conclusion. Plus one structural rule ... ... what I want to say and adding a prompt - correct but keep my words =D Comment from Hisashi Space(@hisashispace): @busmark_w_nika  One at the word level, and it's punctuation rather than a word. The em dash

... everyone, I m Soon Koon from Singapore. I ve been busy building, working and jumping between marketing, product and tech, and somehow, I never really got the chance to properly introduce myself in this community. Currently, I m building Dash to Cart 2.0, and I m especially interested in ecommerce, AI, growth, distribution and how good products actually get discovered and seen. Looking forward to meeting more founders and makers here. What are you working on at the moment ...

... more humans and built Workilo instead. It's 12 AI workers we call them Workalongs that actually hand work to each other. Kiki does the SEO scout work, Sage writes it up, Amber turns it into a social calendar, Dash tells you if any of it worked. No handoff meetings. No "let me loop in." $99/month, 14-day trial, no card required. I'm not selling you a chatbot with a nicer font. I'm selling you the agency ...

... internet's next handshake, with two new bands: Hash and Principle. POLISH ACROSS 9 LANGUAGES Bumped tiny UI labels for Chinese, Japanese and Hindi so glyphs stay legible at the same visual weight as Latin. Cleaned stylistic em-dashes out of every locale without breaking grammar. A few smaller fixes across the tool, the header and the mobile navigation. Everything is still client-side. No database, no cookies, no tracking. I build and maintain CipherLock ...

... PATCHED." Checked the file to confirm the change landed. Nothing had changed. Ran it again with slightly different phrasing. "PATCHED" again. Still nothing changed. Turned out the target text in the file used a real em-dash ( ), and my search pattern used a plain double-hyphen (--). Visually close enough that I didn't catch it reading the code. The script's "success" message was printing regardless of whether the replace actually matched anything it was reporting that the script ...

... agent didn't just act, it acted with someone's credentials, someone's access, someone's blast radius. and when it goes wrong, the audit trail usually can't tell you what the agent was actually authorised to do versus what it happened to have access to. those are different things and most systems conflate them. honestly that's a big part of why we're building MonoCloud the way we are. scoped identity for agents so the blast radius ... ... there's no shared webhooks folder they both sit under. so the glob fix doesn't even apply to the three i have today, they were never colocated in the first place. which proves your enumeration vs

... really move that onto a per-seat plan. So we went the other way and cut our own consumption. Two things did it. We moved every mechanical step out of the model and into plain Python: fixing quotes and dashes, tracking which stage each article was in, filling SEO fields, naming image files. The model now only does the part that needs judgment, the writing and editing, so it processes far fewer tokens. Then we cut the number of steps ... ... cost again and let us produce more before hitting the same limits. It did not make the bill flat, but it made it predictable per article, which was the part I actually cared about. Your point about testing volume versus

... automated pipeline that drafts articles for our product. During our first test attempts we let the model do almost everything, including the mechanical bits: fixing dashes and quotes, tracking which stage each article was in, creating SEO json, naming image files etc. It worked, but the quality was uneven, sometimes the model would miss some things, and, of course, it was rather expensive in terms of tokens. Then we changed our approach and started treating AI like a creative employee ... ... quality went up, because we now let it focus on what it's actually good at. As a pleasant bonus - the costs of running the pipeline dropped too. One of the first things we scripted was stripping the em-dashes

... long as they don't replace the original work entirely. Comment from Samuel Abiodun(@abiodunt97): I think this is definitely interesting to think about. Personally, I almost immediately ignore AI-generated content if it's obviously AI e.g. em-dashes or just typical AI hallmarks. I think with the emergence of AI, I have a new appreciation for real user content, especially YouTube videos where people get in front of a camera, don't use TTS and spend time ...

... their own writing. Ironic that the fix for AI outreach is more AI, just pointed at your own voice instead of a generic one. Comment from Samuel Abiodun(@abiodunt97): I think a common telltale sign is definitely the em dash ( ) and other common AI hallmarks. As for myself, I fed the LLM a bunch of content i've written personally and asked it to build a JSON voice profile which I use, that way content I generate for outreach feels ...

... know the frustration of giving your AI the same instructions over and over. No em dashes, no unnecessary colons, more professional please. Well, those days are over! A persona is simply a set of instructions you give Recall once that tells it how to respond. Think of it as a consistent role, a consistent tone, and a consistent set of rules it follows before it generates anything. You set it once, and it just works from then on. Open ...

... write anything yet" i get it right first try, then the actual code happens in the next prompt with that context. On formatting - i dump a wall of text but with structure. Numbered sections work, dashes work, "context / what i want / what i don't want" as headers works. No markdown wizardry needed, just paragraph breaks the model can latch onto. The biggest unlock honestly was telling it what NOT to do upfront. Half my retries used to be undoing ...

... Every key-hint line across the whole app drill-in title bars, sub-view footers, list-tab footers, action menu, settings panel, global footer now follows the same convention every TUI in this neighbourhood already uses (lazygit, k9s, gh-dash, ranger): emphasise the key over the label. Keys in accent pink + bold, labels in muted. The eye locks onto the actionable part. Fast and sane. The diff loads alongside the rest of the PR drill-in opening a PR doesn ...

... Hello everyone, I ve been working on a small mobile arcade game called Infinity Dash: Jump Fly & Race . It started as a simple endless runner experiment, but I kept improving the controls, gameplay speed, and obstacle mechanics to make it feel more fun and challenging over time. The main focus was: quick gameplay sessions smooth controls simple but addictive mechanics I learned a lot about balancing difficulty and keeping arcade gameplay engaging without making it too complicated. Would love ...

... fintech startup and we've just raise $4m So we rebuilt our context system, to help Pretty Prompt give better results. (Best part, the user owns that context, and can use it across any LLM) Launching today Instructions vs Memory. Instructions Explicit rules that always apply. Examples: No em-dashes

... tool itself is AI, so it s a bit contradictory. 1) When we re so flooded with AI-generated content, do you have any methods to recognise it? For example, I keep noticing the same patterns: long dashes, phrases like It s not X, it s Y, and similar structures. 2) But what about beyond text, like images or video? Comment from Nika(@busmark_w_nika): @amraniyasser  Imagine where we will be in 2 years. We may no longer ... ... enough prototypes it's incredibly easy to see which landing pages have no character but the standard template and animations. Video is getting scary good but for people who know how to use the tools - what is the m-dash