... test. That is a way to explore the typing experience, not the Mac app's AI writing functionality. Product and setup links: https://getdraftkey.com/ For Mac writers and builders here: where would you most want help while writing quiet typo cleanup, suggestions to finish a sentence, or an explicit rewrite you can review ...

... approved-only CSV. Clients use an expiring review link and need no account. This covers text only; visual proofing and publishing stay in your existing tools. For your workflow, would every edit need reapproval, or would you distinguish a typo fix from a changed claim or CTA? Who should make that call? I d also like to hear how you keep the final approved text intact when handing it to a scheduler. You can try the approval edit reapprove flow ...

... this huge thing, and then it just worked, and my first thought was wait, that's it? That's the thing people are charging monthly for? I've paid for one of these before. Needed to fix a typo on a contract, one word, and I'm sitting there with a credit card form open at eleven at night because the free version would only stamp a watermark across the page. I remember being genuinely annoyed. Not at the price ...

... plan. She didn't make a pitch deck. She spent six weekends building the smallest possible version of an invoicing tool for freelancers. It had one feature that worked and two that mostly worked. The landing page had a typo in the headline for eleven days. She shipped it anyway. The loop that runs everything If you watch enough indie hackers, you start to see the same pattern. It goes something like this: Notice a problem that annoys real people ...

... failure mode I dread most in copy review too, it slides past a skim way easier than something that visibly hedges. I've started grading AI drafts by how confident they sound, not just by their typos. Comment from Aruna Sahoo(@aruna_polosofttech): This is a great point. The real issue isn t how often the cheaper model is right, but how easily you can catch when it s wrong. Checkability seems like a much more practical routing signal than ...

... Comment from Richard Acheampong (@richatsealedvault): Actually No, I don't find friction using AI and using my own style. AI can give you the idea but use your own sentences and grammar. Don't be too careful about typos and grammatical errors either because those are natural in normal communication. Comment from Robert Smith(@robert_smith52): Sometimes I read it again and go, nah, I wouldn t say it like that. Comment from Adana Marukhyan(@adana): @busmark_w_nika ...

... smoothly and specifically avoid describing anything a person would actually notice. Once you know to look for it, you start seeing it everywhere. Feels like the entire signal system flipped. We used to tell people to be suspicious of typos and broken English. Now the polished, confident, well written review is the one worth a second look. Anyone else noticing this in categories outside beauty and baby products? Curious where else this shows up. Comment from emmanuel LNU(@emmanuel ...

... than from nobody. https://www.pidgy-ai.com/ Comment from Amanda Franc(@amandafranc): @alexcloudstar  phew I was braced for much worse! Fair observations but I will gladly take any Mint users who need a home couldn t find the FAQ typo It did find a real lowercase brand name in my auth emails, so it earned its keep! Thanks, that was fun! Comment from Amanda Franc(@amandafranc): @alexcloudstar  "A typo

... perceived as completely normal (at least for me). As equal human work. How do you view things generated by artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs. amateur). But it clashes a bit with the fact that: if we do things with AI, why do we demand less money for the output? (We perceive it as cheap.) Comment from Pranay(@pranay19): @busmark_w_nika I think polishing ... ... forget to price. github.com/dimhold/llm-arithmetic Comment from Landon Matthew(@landon_matthew): @busmark_w_nika Can something be quick to make and still be genuinely valuable? Comment from Samran Elahi(@samran_elahi): Honestly, I think it is less about AI vs

... without actually understanding what triggered the failure. So I changed the order. Now my first request is: Reproduce the failure before changing anything. I ask the agent to: identify the exact failing scenario reproduce it locally show the expected vs actual behavior identify the smallest failing case explain what it thinks is happening only then propose a fix That extra step has been useful because it separates: I found some code that looks suspicious from: I can actually reproduce ... ... code is doing exactly what it was asked to do." That can completely change the next step from debugging to a product decision. And agreed on the cost: I wouldn't pay the full reproduction loop for every tiny typo

... once and it remembers for that kind of task, so if your gym is an evening thing, "gym at 6" starts meaning 6 pm for you .. weekdays and weekends stay separate it picks up your shorthand and your usual typos too, and a name it doesn't recognise gets left exactly as you typed it all of that follows you between iphone, ipad and mac through your own icloud a speed pass, so the suggestion card lands while ... ... real problem is i had no shape of data that could have told me :') zero launches and zero crashes draw the same picture and one of them is a fire Comment from Victor Coleman(@victor_coleman): The shorthand and typo

... alieksia): You kind of answered it yourself: it lost the deal, so it failed as an outreach email. I haven't tried writing "weird" emails on purpose, but I noticed that people still reply even if I make a typo. Emails that are clear and relevant, sometimes with a joke or warm touch, work much better than confusing ones whether I'm the sender or the recipient. Comment from Muhammad Jahanzaib(@jahanzaib_ara): I think really depends ...

... engineering blog put agents at roughly 4x the tokens of a chat session, and multi-agent systems at roughly 15x. Parallel intelligence is something you buy. A deep audit of an unfamiliar codebase can be worth 15x. A typo fix can't. The rules we actually run by: delegate reads freely. Delegate verification deliberately a reviewer that didn't watch the code get written makes a better skeptic. Delegate writes only when the files split cleanly, one clone per directory ...

... from 1 to 26 over two weeks once every comment started carrying a real number or a real mistake instead of just an argument. Curious whether anyone else here has found a similar tell for what reads as generated versus what reads as lived-in, especially posting into communities that skew technical. Comment from Jernej Jan Ko ica(@jernej_jan_kocica): this happened to me today, so it is fresh rather than remembered. five people in one r/sysadmin thread ... ... underneath that. on here the same move usually ends an argument. there it read as more output. numbers since you put yours up: comment karma 8 to 14 in a day once i cut the length, allowed contractions and typos

... juggling a bunch of projects constant back and forth with PMs, designers, clients and actual design work in between calls. I didn t have the bandwidth to write correctly . I'd reply in less than a minute, typos and all, and get right on to the next fire. Months later I d read an old email and cringe at how rough it was, but nobody seemed to care at the time, or maybe I just never learned if they ...

... actuallydone  Testing with a role that has the grant but should still get filtered, Christian's right, that one proves something real. I leaned on error codes for a while and got burned: had a WITH CHECK typo that let writes through, but every permission-denied log during testing looked clean because the test role didn't even have the grant yet. Only caught it once I gave the role real access and logged in as the second user ... ... only gets exercised once you log in as a second, different user and try to touch the first user's row from that session. And 'denied' has two flavors worth telling apart: an empty result, the policy filtering correctly, versus

... Lingo.dev CLI now runs the localization pipeline pre-edit, human review, AI review, rephrase, back-translation, each toggled on the engine. Toggle stages on the engine's Pipeline tab, or override per job through pipelineConfig. Pre-edit cleans typos in the source before they reach any locale. The core localization step applies your glossary , brand voice , and instructions . Human review pauses the run until your team or an external provider signs off. AI review reconciles a reviewer's edits back ...

... trying to do with my upcoming Chrome extension for LinkedIn. I don t know if it will take off, so I want to go with the most cost-efficient stack possible. Could you recommend the best low-cost alternatives for infrastructure and launching? Databases Payments/money management (I m currently considering Stripe) Analytics Hosting and domains? If there are other essential tools I m missing, feel free to add them. I m especially open to dev advice since my experience here ... ... just cheap. Early on, your biggest cost usually isn't infrastructure. It's your time. I'd rather pay a little more for a service with great documentation and a smooth developer experience than spend days debugging a cheaper alternative

... delete feature, we thought of it as housekeeping. Users write messy drafts, clean up later. Standard stuff. Then we looked at the data. About 15% of entries were being deleted within minutes of writing them. Not drafts. Not typos. Full, completed entries that users wrote, read back, and chose to erase. At first, we panicked. Were people unhappy with the AI's responses? Was the experience frustrating? We almost redesigned the flow to discourage deletion. Then one user told ...

... 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. tell-it-to-revise vs

... tabs, 3 Office apps, VPN, weird folder structures), it fails ~40% of the time. Not because the model is dumb because the execution layer has no tolerance for real-world chaos . A popup appears -> agent freezes File name typo -> agent gives up App not in foreground -> click misses I know I could write more robust skills, but that defeats the voice and forget promise. Is anyone working on a harness layer specifically for desktop reliability? Something that ...

... real artifacts behind it. Comment from Jim Jeffers(@jim_jeffers): @busmark_w_nika  Yes the fake imperfection loop is already starting. The point is not make it sound messier ; it is make it traceable to something real. A typo or awkward sentence is not proof of humanity. A specific tradeoff, a real customer phrase, a screenshot with context, or a founder saying we tried X and it failed for this boring reason is much harder to fake convincingly. Comment ... ... real before/after workflow than ten glossy hero images. The brands that stand out will probably be the ones that show their process clearly instead of hiding it behind polished output. Comment from Fabian Maume(@fabian_maume): Leave typos

... enterprise AI demos. The agent always understands the question, pulls clean data, returns a polished answer in under five seconds. Impressive every time. Then we go live. Same agent, real environment: question full of internal acronyms and a typo, four systems to query with two of them returning stale data, three clarification loops, and eventually a handoff to a human for the edge case nobody put in the demo script. Every sing time. The model isn't the problem ...

... something, the agent writes the cases for it. The task manager is at 131 spec files and 275 tests now. Writing them takes seconds, and they come out more exact than anything I'd type by hand: no typos, nothing quietly skipped because it was boring to write. What still needs me is deciding which scenarios go in. The agent will test what the feature does all day. It doesn't know which failures are expensive. Comment from Elara Thorn ...

... Fast Browser-Native Speeds: Because the execution leverages your local hardware capabilities, there are no remote server queues or rendering lag. ### What s packed inside the workspace: * True Text Editing: Click directly into existing text blocks to fix typos or modify layouts on a live canvas. * Secure Signatures: Draw, type, or upload digital signatures to sign contracts in seconds. * Document Assembly: Drag, drop, merge separate files, or extract specific pages seamlessly. * Smart Compression: Optimize high-res PDFs down to size ...