... 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

... 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 ... ... only see it because the small case is small enough to argue about. Where I don't do this: anything I can eyeball in ten seconds. Reproduce first is a real tax, and paying it on a typo

... 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 Abdullah Javaid(@abdullah_javaid3): Mine's mostly the softer ones too. That 1 to 26 is almost entirely r/SaaS, business and growth threads ... ... 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 ...

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished 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 ...

... 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 ...

... people you'll meet when it comes to new AI products. I spend a lot of my time exploring what's being built in the AI space, testing tools, breaking things, and figuring out what actually solves real problems vs. what's just hype. No engineering degree, but that's never stopped me from getting hands-on and building. I believe some of the best product thinking comes from people who obsess over the why and the who - not just ... ... your fact-first evaluation approach is genuinely interesting. :) Comment from Yaoshen Luo(@lyshen): @shivi_sharma6  It reminds me a TV series named "The Pitt". It shows that the voice interaction is perfect for patients. However, transcription error and typos

... them, photo profiles were special in a similar way. When I double checked the profiles, the links were not working. And I hate finding myself interacting with bots. What is the limit that bothers you in interacting with AI vs what feels fine? A/ Interacting with a bot B/ Interacting with content being 100% generated C/ The person giving the idea, and asking AI to write an answer. D/ Asking AI to rewrite E/ Correcting with AI It was funny ... ... safe and always AI-compatible. The thing that can get you fired if you apply it to the wrong deal that's the signal. On images and video: agree with Saad that effort is the better frame than AI vs

... shadow-ignore" is the part you never see. No angry comment. No complaint. Just silence. The person never engages again. And you never know why. The screenshot-and-mock trend is real. I've seen it happen to a competitor. Someone posted a bot reply that was technically fine but completely off. The thread turned into a roast. The brand looked foolish. All because no human bothered to read the post before hitting send. The AI-summarized agreement ... ... ivan_anisimov4  "Bot-dar" is the perfect term for it Ivan. People can smell automation from a mile away now. Not because the writing is bad. Because it lacks the small imperfections that make a message real. The typo

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... that. I tested it with my own numbers first 1,200 subscribers, sending twice a month. I'd be paying about $1.20/month with SimploMail instead of $30+ with what I was using before. That's not a typo. But if I were sending daily to 50K people? Different story. And the calculator shows that too. Try it: simplomail.com/honest-marketing-calculator Would love to know what numbers you get. Seriously, screenshot it and tell me. Even if it says ...

... still, didn't get the results I wanted. That's exactly how you say @busmark_w_nika : AI just largely replicates existing text. So, personally, I craft the text myself first and then use AI to check for typos, consistency, grammar, and similar stuff. At this point, I manage to understand pretty well when a text is AI-generated and honestly, I can't stand it anymore, especially on LinkedIn, when 80% of posts are written with AI, so when ... ... fully air-gapped from AI. For vibecoder blog articles I have the AI place my words verbatim, send them "like this in between quotes." I then use the chat interface to edit, and give explicit instructions to only fix typos

... nika): @scott_davidson_jr  I liked the launch tbh :) Comment from nim(@sup_nim): honestly i think the trust issue comes down to scope. i trust ai way more when its doing one specific thing really well vs trying to be a general assistant that touches evrything. like i built speakeasy which uses ai to convert articles to audio - its just doing text to speech, nothing else. and astrologica generates daily horoscope podcasts from your birth chart ... ... your interpretation of it. That's where most founders get stuck. Do you find they trust the numbers too much, or not enough? Comment from Henrik Pedersen(@henrikpedersen): The distinction I keep coming back to is read vs

... Hunt community! This is YUKI from the Typeless marketing team. Let's be honest: mobile typing is broken. We lose ideas because typing feels like too much work. We delay replies because it's tedious. We fight autocorrect, fix typos, and hope our messages don't sound rushed. This is why we built Typeless for Android AI voice dictation that transforms how you communicate on mobile. What it does: Speak naturally, get polished text instantly. Just talk no commands ...

... been there. You receive a presentation "deck" but it s a PDF export where every slide is just a locked image. You can t select the text, you can t fix the typos, and the layout is essentially a digital brick. It s not just a file; it s a chore. You end up spending your evening re-typing slides or messing with converters that just dump broken text boxes everywhere. We built PDF.beauty because we believe AI automation should ...

... updated to mock the new token structure. This might cause a regression." It catches the bug before a human ever sees it. You fix it immediately while the context is fresh. The New Reality: "Reviewing the Architecture, Not the Typos" When teams switch to AI-native code review, the atmosphere in the engineering channel shifts. The anxiety of "bothering" a senior dev disappears. Junior developers get a private, judgment-free zone to polish their code before presenting ...

... clarity usually shows up after you start, not before. Comment from David Mason(@rankdeck): @build_with_aj  The lowest tech and the most pleasure right :) Comment from Syed Hassan(@syed_hassan9): @busmark_w_nika  Haha noted typos are part of the process too proof that you re actually shipping, not just polishing. Comment from Syed Hassan(@syed_hassan9): @busmark_w_nika  Yeah, that makes a lot of sense. Catching the idea while it s fresh is usually ... ... which is usually the right move. Comment from Syed Hassan(@syed_hassan9): @busmark_w_nika  Totally get that pushing standards can be super motivating. I think it really comes down to knowing when raising the bar fuels growth vs