... time. The AI writes a message to the next AI, and it comes out as instructions: Next session: confirm the hotel before booking trains. Do not change the Paris dates. Remind the user about the deposit. Save what we settled. The AI writes down facts: Paris is three nights. Trains between cities; a rental car was dropped because of city parking. The hotel deposit is due May 1. The second note stays true after the conversation ends. A month later ... ... this in my own records. Notes written as instructions carried an earlier stage into new conversations. Notes written as facts read like a record: what was decided, and why. Now when I save, I ask for what settled

... industry. I m slowing down a little now, and have built something for fun: a web app that lets groups of friends, family or workmates track and compare their daily WORDLE game scores. It started as a way to settle arguments in our own group (and cut down on my manual effort keeping monthly tallies and daily results) and has grown from there. I m new to Product Hunt and looking forward to seeing what others are building ... ... nineteen hours, throttled on the sending service's shared IP rather than for anything in the mail itself. My one piece of advice for a first launch: watch where people stop in the flow, not what they say. Settling

... normal week, and compare retries, edits and complaints. Keep paying when the gap is large. The part I haven t solved is the close zone. Benchmarks aren t your workload, and a week of traffic doesn t always settle it. How do you decide? Proper evals, gut feel, or ship it and watch the complaints? Comment from George Basov(@gbasovv): For the close zone I stopped comparing models on the feature and started comparing them on one concrete failure ... ... that checks what the singer actually sang against the planned lyrics runs on Pro, because Flash was tried there and missed a merged chorus that Pro and an independent transcription both heard. One known miss on the exact job settled

... turned out to be about six separate problems, and we found them one at a time, in production. 1. Detecting a language switch without flip-flopping A caller says one English word and the bot jumps languages. We settled on a heuristic switch with guardrails you can configure per agent: a minimum number of words per turn (default 3) the same language for consecutive turns (default 2) a dominant-language threshold (0.6) from a fastText classifier a reset ... ... agent says outside the LLM (warnings, hangups, announcements) is a second language path you also have to maintain. Log every switch decision. Our lock bug was only findable because we logged each one. Make the policy configurable. "Sticky" vs

... agents had stopped being the slow part. Every change waited for a pull request and a CI run, rebased on a main that had moved, and two agents on the same file ended in a conflict someone had to settle by hand. So we built AVP (Agent Versionning Protocol), and it's open source. An agent opens a task, writes, and lands it. Every landing is proven on the exact head of main in seconds; if the line moved ... ... your setup look like today? Comment from Neeraj Nathany(@neerajnathany): CI runs dropping from 104 a day to 4 is a big jump. when two agents touch the same file, does the replay ever still need a person to settle

... Indians should have a 72-hour work week, i.e, 12 hours for 6 days. This is the current state of India's tech sector. Freshers, experienced developers, everyone is struggling to find a job in this market, having to settle for absolute outdated minimum wage stipends. The country's premier engineering institutes are an export sector for global tech companies contributing to the GDP of first world countries, all while said companies setup shop in Bengaluru, Pune, Hyderabad, Gurgaon ...

... Before, every service an AI agent used needed a human behind it: finding the API, creating an account, adding a payment method and approving each transaction. With Elisym, agents discover providers on Nostr, hire them for specific jobs and settle payments peer-to-peer in USDC on Solana. There's no central platform and no custodian, and agents spend only within the budgets and policies you define. Elisym is open-source infrastructure for the agent economy. Every agent ...

... Three weeks ago I posted a list of things I learned on launch day. I left one off, because I only noticed it after the dust settled. Almost every good thing that happened to Construct came through someone we already knew. Not cold DMs. Those mostly went nowhere. It was a friend of a friend of a friend, and the ask worked because the person in the middle could say "yeah, I know them, they're legit." The painful part ...

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... distributed outside the App Store entirely - an alternative

... snowfall, switch on an aurora, make the glass more reflective. All expected. But the detail that matters is the one you feel before you notice it press the spacebar, and the globe shakes, and the snow lifts and settles. A snow globe you can t shake is a diorama. Fable 5.1 built the one interaction that turns a model of a snow globe into a snow globe. Ask yourself which line of that prompt said and make the spacebar shake ... ... scientific computing) 52.6% Fable 5: 24.7% Opus 5: 29.0% Context window 1,000,000 tokens hold a whole codebase at once Max output 128,000 tokens a full build in one pass Prompt-cache reads up to 75% cheaper vs

... runs should not own your attention. The reply split the problem into two distances: quiet awareness when you are at the desk, and a real interruption when you are away. I think that split is right. What I cannot settle is the default. A. Keep everything inside the terminal. B. Show quiet state in the menu bar or notch, then expand only when I need to act. C. Use a normal desktop alert. D. Send it to my phone even ... ... same request across both surfaces. Comment from Siarhei Hamanovich(@hamanovich): @aadilghani  The question I'm actually answering at a prompt is usually not "is this command dangerous." It's "is this agent still on track." The command string settles

... runway . Instead of remembering statement dates and calculating payment windows yourself, just check CredZero before you swipe. Why CredZero? Best Swipe Today instantly see which card gives you the longest runway Simple tracking know what s due, pending, and settled Cred Peak Zone keep settled

... because once you are staring at 9 out of 10 there is always a story available for the missing one. Comment from Serdar D(@serdarships): That is the answer, and it is better than what I was going to settle for. Taking it. One engineering detail I would add, because it is the thing that bit me in a different context this week. A poller you own has a failure mode a push does not: "no events" and "the poll ... ... coverage report is the concrete thing I'm taking from this. Different cadence, different granularity, and I'd have kept staring at coverage waiting for it to say something it structurally can't say. The absent-from-your-logs versus

... Still refining things before an official launch here, just getting settled into the community in the meantime. I'm building Seisin , a job search tracker, but wanted to get familiar with how things work around here before bringing it over properly. Been building solo for a while now, so mostly looking forward to seeing how other people think about their launches and picking up on what actually works versus

... ChatGPT by OpenAI vs @Claude Code Two of the AI tools almost all of us use every day, but how different are they really? Some people use ChatGPT as their everyday AI assistant. Others swear by Claude for writing, coding, or working with long contexts. And many of us simply switch between both depending on the task. So... What makes you choose one over the other? Which one fits better into your workflow? Do you use both, or have ... ... settled

... made this concrete objective questions are easy (exact match, no ambiguity), but for open-ended answers we made a call to surface the AI's mark as a suggestion to review, not a final score, because presenting it as settled felt dishonest. Curious how others building agent/AI tools are drawing that line different UI for "AI generated this" vs

... product mentioned in ChatGPT or Perplexity answers, and the data keeps pointing somewhere that makes me question the whole "GEO/AEO" hype. Ahrefs looked at 75k brands and found branded mentions correlated with AI visibility way more than backlinks 0.664 vs 0.218. It's correlation, not causation, so take it with salt. But the gap is big enough that I can't ignore it. Which makes me wonder if we're overcomplicating this. Maybe AI visibility isn't a new discipline ... ... channel can swing that hard, is any of this stable enough to actually build a strategy on? So for the founders here are you doing anything on purpose for AI visibility yet, or ignoring it until it settles

... misleading once you factor in retries, wrong turns, and the fact that a "cheap" run that needs 3 follow-up prompts to actually work isn't actually cheap. Curious what people here are actually measuring, and whether you've settled on one agent or are still task-switching between them depending on the job. Comment from Stephanie Tang(@stephanie_t0317): Token efficiency is an interesting metric, but I think the real metric is cost per outcome. A tool that uses ...

... When your AI remembers something, it treats every piece of context with the same weight. A decision you made six months ago sits alongside a rough idea you were brainstorming yesterday. There is no way to say "this is settled" versus

... rate freelancers this morning and got a comment I haven't stopped thinking about: "The friction is never the calendar; it's locking scope and terms before anyone starts working." Fair challenge. What I built assumes scope is settled by the time a contract goes out signing is the "we already agreed, now make it official" step, not the negotiation. For those of you who do client work, is that true for you? Is scope usually settled

... than is comfortable, moved to D, and then found that delivering the question is the small part. What surrounds it is the work. Whether a timeout should mean deny or hand back to the terminal took us longer to settle than building the delivery did. So did reaching the one person who can answer when they are not sitting in front of your product, and being able to prove afterwards who approved what. The two I still cannot answer ... ... nothing, the reviewer's normal experience becomes an empty screen, and empty screens train people to expect empty. Whether the one that is not empty gets read properly on day forty is an open question. It still beats the alternative

... nika  Fair point, and yeah I overcomplicated it Simplest version: run more than one product, and most CRMs turn into a mess. LiftUp keeps each product's stuff cleanly separate so you always know what's what. Competitors? Plenty of CRMs let you add extra pipelines. The difference is they bolt it on as a setting, whereas LiftUp is built around it from the ground up. Whether that matters enough is exactly what I'm here to find ... ... people who click through on the day need somewhere to land that earns the click. For what it is worth I am on the other side of this exact call, we launch tomorrow, and the test that finally settled

... Google AP2 (Agent Payments Protocol) - mandate-based, 60+ partners (Mastercard, PayPal, Amex), now handed to the FIDO Alliance. If you run a store, this should feel familiar. It's the "build a separate app for every assistant" trap. IE vs Netscape. A native app per platform. Do you now integrate ACP and AP2 and MCP and whatever Amazon ships next quarter - and re-do it every time a new agent shows up? The real question isn't which protocol ... ... work), or whether we get an open layer where you describe your store once and every agent can use it. Curious where people land: Merchants/devs: would you wire up multiple agent protocols directly, or wait for a standard to settle

... running anything to scan for this, paying someone to review it once, asking the AI itself to audit its own code, or just shipping and hoping nothing bad happens. Curious if there is an actual workflow people are settled on, or if this is still the part everyone quietly skips. Comment from Okba Allaoua(@elhart05): @vollos  That distinction matters more than it looks. A permission error usually means a missing grant, not the policy actually filtering rows ... ... 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

... first group tore their workflow apart and rebuilt it around AI. The second group is waiting for the dust to settle before committing to anything. The waiters have a defensible case. Half the AI tools from 2024 are dead, the best model changes monthly, and rebuilding your stack every quarter has a real cost. In most platform shifts, the fast follower wins (think Apple). But this shift compounds in a way that previous ones didn't. When a competitor