Gmail status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Gmail reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Gmail users through our website.

• Website Down (37%)
• Errors (35%)
• Sign in (27%)

Live Outage Map

The most recent Gmail outage reports came from the following cities:

City	Problem Type	Report Time
Paris	Errors	10 hours ago
Pessac	Sign in	1 day ago
Strasbourg	Errors	2 days ago
Boa Vista	Sign in	2 days ago
Gondreville	Website Down	4 days ago
Champniers	Website Down	5 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Gmail Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Fierceness (@ITZ_FIERCENESS) reported 2 minutes ago

  @TeamYouTube My YouTube channel was hijacked through a fake brand collaboration/phishing attack tonight. The attacker also took over the associated Google/Gmail account and changed my recovery email, recovery phone and 2-Step Verification methods. Google Account Recovery now only offers a security key, Authenticator and backup codes that I do not have, so I cannot sign in to access YouTube’s Creator Support. I am the original channel owner and can provide proof of ownership. I need assistance with the YouTube channel hijacking recovery process.

• 
  dweewq (@eweqss1431) reported 3 minutes ago

  Every bot in Grok Bot gets its own actual computer in the cloud, a full machine with a browser, files, a terminal, and your real logins, and it keeps working after you close your laptop. That single fact is why one person can now run a Chief of Staff, a research lead, a sales rep, and a bookkeeper without hiring a single one of them. Here's the part that undercuts the "replace your whole team" hype: xAI's own documentation calls the shared cloud machine every bot runs on a real blast radius, meaning one bot isn't actually a security boundary from another. Every connection you make lives at the account level, so connecting Gmail once hands that access to every bot you'll ever create, which is exactly why the honest advice is to keep banking logins off it entirely and only connect what you genuinely need during beta. The mistake that kills most setups isn't technical, it's psychological. People pile outreach, content, receipts, and calendar management onto one clever bot until it drowns in its own context and burns through usage fast. The fix that actually works is almost boring: one narrow role per bot, briefed like a real job description with what it owns, what good output looks like in checks instead of adjectives, and exactly where it has to stop and wait for you. If an action can't be undone in under a minute, it waits, full stop. The real training here isn't the bot's, it's yours. Every time you interrupt a run to re-answer something the bot's profile already knew, you pay to relearn it, and context only compounds if you actually leave it alone for a week at a time. The suggested ramp is blunt about that: week one it only drafts and you read everything, by week four it runs on a schedule and you read a weekly summary instead of babysitting every click. So the real question isn't whether a bot can do the job, access already proved that. It's whether you can actually stop interrupting long enough to find out.

• 
  Kritiman Talukdar (@Kritiman2005) reported 7 minutes ago

  Every AI agent tool routes your emails, files, and messages through someone else's server. Aegis doesn't. Local LLM, local database, your machine only. The model that reads your Gmail never leaves your laptop. Building it because I wanted this to exist.

• 
  🌑 (@tea_zamboni) reported 7 minutes ago

  For well over a decade, linking your work email to your gmail has been seen as the sophisticated thing to do and it has never once not resulted in a huge issue/miscommunication

• 
  Blumi | Orbitagents (@blumbuilds) reported 9 minutes ago

  Skill, connector, subagent, hook. Four ways to extend an AI agent, and most people pick by whichever word they heard first. Pick by what is working failing instead. An agent does not know how to work → skill. : A folder of written instructions it loads when relevant, or you invoke by name. Your proposal format, your brand voice, your QA checklist. It cannot reach your tools → connector. : Notion, Gmail, HubSpot, your database. That is reach, not judgment. It runs out of room/context → subagent. : A side task in its own fresh context window. That is exactly why it cannot see your conversation, and why you have to brief it properly. It only does the thing sometimes even if i tell it → hook. : Fires on an event, not on the model's judgment. Every single time. The trap is reaching for one when the problem is another. A skill will not get you data. A connector will not teach it your method. And there is a fifth failure none of the four touch: it starts every run knowing nothing about the last one. That is a memory problem, and it needs a different answer.

• 
  Adi Leviim | Building SaaS Products (@adileviim) reported 9 minutes ago

  we built auto tagging that sorts every conversation into one of five buckets: coding, writing, research, math and science, business. no custom tags, no way to add a sixth category. that was a deliberate constraint, not a v1 shortcut we meant to fix later. the first version we prototyped let people create their own tags, unlimited, freeform, like gmail labels. it demoed great and died in real use. within two weeks test users had eleven overlapping tags for the same handful of topics, 'work stuff', 'job', 'career', all meaning roughly the same thing to the same person on different days. a tag system with infinite categories quietly becomes a tag system with zero categories, because nothing gets filed the same way twice. five fixed buckets forced consistency we couldn't get any other way. a coding conversation is always coding, no matter what mood the user was in when they had it. that consistency is the entire value of automatic tagging, if the same kind of chat can land in a different bucket depending on nothing, the feature isn't saving anyone time, it's just adding a layer of noise between them and search. the tradeoff is real and we don't pretend it isn't. someone doing legal research or medical writing gets folded into research or writing whether they like the label or not, and a few people have asked for narrower categories. we said no, on purpose, because the moment you add a sixth bucket you're on the road to fifty, and the whole point was to stop that road before it starts. the lesson generalizes past tagging. any time you're building automatic classification, the number of categories matters more than how smart the classifier is. a great model sorting into too many buckets still produces a mess a human has to clean up. a dumb model sorting into a small, well chosen set produces something people actually trust enough to stop thinking about.

• 
  Dixit Savaliya (@DixitS69900) reported 11 minutes ago

  Wiring the payment layer to the token makes sense for demand, but a custodial internal wallet tied to Gmail login puts you on the hook for balances and account recovery. A non custodial deposit with a credit ledger gets the same UX without holding user funds.

• 
  Asish Kumar (@asishcodes) reported 18 minutes ago

  @striver_79 @gmail @Google how well does it work? i tried using gemini in google docs and it did a terrible job.

• 
  Predacle (@predacle) reported 21 minutes ago

  I'm sick of Google's constant privacy grab. Signing into gmail now means auto signin into Chrome. And they make your life miserable if you try to prevent it. Also, NO I WILL NOT TAKE A SELFIE. This denigrating practice has to stop. If this ever becomes mandatory I will switch.

• 
  DigitalAssetBuzz 🔶 (@DAssetBuzz) reported 24 minutes ago

  @mattshumer_ @agentmail I've been having my agents check my Gmail, send mail, and delete mail for almost a whole year now and have never had an issue

• 
  Owizzle (@WillyB_303) reported 24 minutes ago

  Guys, I think 1X is in deep trouble. I've been thinking about their "developer platform," and I don't think it makes much sense. I get the 10 second pitch. Do a Guy Kawasaki era Apple play. But this feels different. The original Apple was only $3,800 in today's dollars. And the original Mac only cost $7,700 in today's dollars. And both of those came right after recessions, whereas today we're heading into one. Each of these products was also a "bicycle for the mind." A pre-AGI robotic humanoid is a far cry from that -- in fact, it's not a bicycle, or even a force multiplier of any kind. It's essentially a just less-capable stunt double that eats electricity instead of food and can't heal itself. Which brings into question the nature of what actually is supposed to be "developed" in the first place and how those developers expect to be compensated... ie generalized skills? Speciality (SME) skills? Integrations with Gmail, et al? If that's the case... what does the $25,000 (my assumed final cost to consumers after taxes and other fees/accessories) ACTUALLY BUY YOU? Am I supposed to be willing to pay an extra monthly fee to access individual skills - like doing the laundry or loading the dishwasher, because they did a rev-share deal with some developers to teach it those skills? And what about loading the dishwasher? An Additionally, the move feels both like a) a direct pivot away from retail customers, b) a tacit admission that there is no real consumer demand for humanoid robots, and c) an acknowledgement that the World Model doesn't really work at all yet. Because if it did, I'd expect a $25K humanoid to come with most of the the generalized skills of an average 8 year old human (I have one of those already pours his own nightly zyrtec, helps load the dishwasher, and helps with laundry btw). So in the end, I just don't know what developers can be expected to sell. My assumption, sadly, is that this isn't actually about developing anything -- it's about putting off as long as possible the moment everyone's actually afraid of: Actually going to market anything. Which brings me to my ultimate point: If you look carefully, I think you might notice a pattern here: Name an audience. Raise money on hype. Set a deadline for g2m. Build a prototype. Approach deadline. Announce a major breakthrough that unlocks a new audience. Raise even more money on more hype. Set a deadline for g2m. Build a prototype. Approach deadline... "I see what you mean," you might say. "But what's the problem?" To that, I might simply reply "You know what the problem is." Time to start thinking about doing something really different, before it's too late, if you ask me. But maybe this is exactly what they intended all along? PS: I think they could get funded. But imo, that would just create some very angry investors who end up paying $1B+ to see later what I already see now.

• 
  waks™️• (@danielwaks1) reported 26 minutes ago

  @unclemagic100 Hello sir I am having issues downloading their zip file it seems they won’t send me the link via gmail could you help me ?

• 
  Jedidiah | Graphic Designer (@edi_designs) reported 27 minutes ago

  Now, I'm trying Orensio, a new software that is trying to be cheaper than Smartleads and Instantly. With them, I easily linked my gmail but my problem now is I can't proceed with sending the mails because I'm unable to link my DNS or CNAME.

• 
  Bobby Gadzooks (@TimeBobby3) reported 28 minutes ago

  @infosec_james 100% and completely practical for elderly parents who get confused why Google on tv would ask them to sign in when they signed into gmail 4 days ago from their laptop. I know mom, it’s stupid, let’s get the book out snd sign you in.

• 
  AMERICAN HODL 🇺🇸 (@americanhodl8) reported 28 minutes ago

  I talked to this person too and it was the standard social engineering playbook. After months of calls from “google” he finally decided to pick one up because it said it was from the Mountain View area. The scammers then socially engineered him to reset his gmail password. They gained access to his gmail account, where they watched him email the real @trezor. They then called pretending to be trezor and tried to give him a fake link to click. He was smart enough not to do that and went to the trezor website himself. But they had already pulled pictures of his ID and passport from his gmail and created a panic inducing story about someone trying to pretend to be him and they said in the wake of coldcard they had a new recovery service and if he would just type his seed phrase into the chrome url they could make sure his bitcoin was safe. In a moment of panic his brain glitched out and he decided it was a good idea to do that. The scammers then had access to his google and were able to see his browser history so they were able to read his seed in plain text and they stole his bitcoin. He knows this was a big mistake and he feels dumb for falling for it, but this kid is not dumb. He knows a lot about bitcoin and has even heard about these types of scams before. He simply had a very human moment of genuine fear and panic (which was artificially created by the scammers) and then ****** up and made a catastrophic error. The lesson is that your own panic and fear is the scammers weapon, so if you’re feeling that it’s best to pump the breaks and slow everything way down. Get off the phone and breathe. Call a trusted friend. Come to them with what’s going on. The other unpopular lesson is that self custody is hard and it’s not for everyone. Stay safe out there friends.

• 
  StarHaze (@ST4RHaze) reported 29 minutes ago

  11 DAYS IN PRODUCTION, 30 HOURS A WEEK OFF HIS PLATE, AND EVERY AGENT IN THAT GRAPH IS HOLDING A LIVE LOGIN Shmidt is the only one in this whole Grok Bot week who put a runtime on screen instead of a screenshot of the pricing page. His chain is the strongest thing in that post: planner, scout, dedupe, cite check, writer, verify, and the cite check node is the one nobody else is bothering to build. The chain is missing the node that comes after verify. Nothing in it records what an agent actually did with the Gmail and CRM logins you handed it while you were asleep, and approval is not a log. CopilotKit shipped OpenBot six days after Grok Bot went out, MIT licensed and self hosted, a computer per bot, a fail closed policy, and every action audited from day one. It took 2,051 GitHub stars in four days. 7 minutes, one container, no Kubernetes, and a straight comparison of the two trust models. Watch it, then build his stack below with a log you can read the next morning.

• 
  Polsia (@polsia) reported 31 minutes ago

  Every year, billions in warranty value is lost to expired coverage people already paid for. Built Covermint to fix that. Forward a receipt or connect Gmail — it tracks every product, flags expiring warranty, and surfaces credit card purchase protection almost nobody uses.

• 
  Solomon Not Grundy 𓃵 (@adedayo355) reported 33 minutes ago

  @CynthiaIfu68220 @GloWorld See ehn Once you enter the phone number otp, instead of typing your Gmail, just choose their sign in with google or apple option (google is easier though) That’s how I just did it

• 
  Prajwal Tomar (@PrajwalTomar_) reported 33 minutes ago

  Matt Shumer just got a Gmail banned because an agent was using it. This one made me pause, because honestly I'm guilty of the same thing. My bots run on the same Gmail my clients reply to. It works great right up until the day it doesn't, and xAI's own docs are clear that every bot on your account shares the same logins. One eager bot, one weird email, and it's not the bot that gets flagged, it's the domain. So that's my fix for this week: the bots get their own mailbox, and the inbox clients reply to goes back to being mine. Everyone shows the agent demo. Nobody shows the blast radius.

• 
  kayden⁷ lost butterfly (@dearmykayden) reported 35 minutes ago

  @joemygs if you go down, i'm going down with you uncle gmail #trust

• 
  Andrew Rulnick (@MickeySteamboat) reported 36 minutes ago

  @tszzl goodluck cracking PHP WASM kernels matrix boundaries and cryptographic proofs of work required. even a single button that links a tenant server or cluster to GMAIL is over 100k lines of code and a rigorous battery of over 1,000 tests... I pity the fools who end up trying to hack it, by the time I am done it will bite back

• 
  Aijay (@IjeomaAnyiamO) reported 37 minutes ago

  @AirtelNigeria whatever is going on with your network and Gmail/YouTube, kindly fix it. For two days now and you can’t say you aren’t aware of it. Fix up, please. Being a consistently terrible internet provider is no flex.

• 
  Tayo Oludare (@the_tayooludare) reported 41 minutes ago

  We’re experiencing a strange problem in my office at the moment. We can’t access our emails (Gmail), join meetings or send out emails while connected to the Airtel network provider. Can anyone using Airtel confirm they’re experiencing this same problem?

• 
  Mooncast Productions (@MooncastOnline) reported 42 minutes ago

  Not just shitposting (this time). This week, I dumped Gmail, all of Google Workspace, Photos & Drive. In the process of breaking up with Unity, built my own native installer, an 0Auth2 proxy server, and more. Enshittified to the breaking point. Nickel and diming to death while also hating the product. The retained inertia of a bad software experiences is essentially zero now.

• 
  OLAOFOSUN (@OLAOFOSUN1) reported 46 minutes ago

  @TikCoin_Network TikCoin by Tikchain Network,please I want to ask that those of who using different Gmail to register TikCoin and using another Gmail register Tikchain what can we do to sign in to the Tikwallet I wanted to connect my Tikchain account to the Tikwallet thank you

• 
  ericosiu (@ericosiu) reported 47 minutes ago

  How to set up Grok Bot for your company: Grok Bot’s biggest advantage right now is it's easy setup. You can connect the tools your company already works in, port over workflows you already know work, and get an autonomous agent running without building the whole stack yourself. Here’s how I’d set it up: 1. START WITH THE SYSTEMS THAT HOLD USEFUL CONTEXT Connect the places where your company already works: > Google Drive for docs, strategy, offers, and SOPs > Slack for conversations and internal context > Gmail + Calendar for communication and meetings > Gong for customer, sales, and internal calls > GitHub + Linear for product and project context > Mixpanel for product data > Stripe for revenue signals > Clay for enrichment and outbound data Connect the systems the bot actually needs for its job. 2. DON’T INVENT YOUR FIRST WORKFLOW FROM SCRATCH This is where most people hit the cold start problem. Open Claude, ChatGPT, Codex, Hermes, or whatever AI you already use every day and ask: “Based on how I work, what are the highest leverage workflows I repeat often enough to turn into autonomous agents?” Then have it package the best workflow into an .md file. You already spent months teaching your existing AI how you work. Use that context. 3. GIVE GROK BOT ONE NARROW JOB Bad: "Run my marketing" Better: "Monitor Gong, X, YouTube, and our existing content, Find topics we have authority on, Score them by TOFU / MOFU / BOFU potential, Return the highest priority SEO + AEO briefs" One bot. One job. One measurable output. 4. FEED IT THE CONTEXT THAT MAKES THE WORK YOURS For a marketing bot, I’d include: > Past campaigns and what worked > Brand voice > ICP > Offers and pricing > Content examples > Internal SOPs > Sales calls > Customer language > Previous tests > Examples of what “good” looks like The more queryable your company becomes, the more useful the agent becomes. 5. SET THE PERMISSION BOUNDARY BEFORE YOU RUN IT My rule: Read + research + draft = run freely Send + publish + spend + change records = human approval Give the agent access to the context it needs. Don’t give it unlimited permission. A simple first setup: Existing workflow ↓ Export to .md ↓ Connect 3 to 5 useful tools ↓ Give Grok Bot one job ↓ Run ↓ Review ↓ Tighten the workflow Good first bots: > Content radar > SEO / AEO brief bot > Revenue signal monitor > Marketing analyst > Customer voice miner > Outreach researcher > Project operator Grok Bot is interesting for companies because it removes a lot of the setup that normally keeps autonomous agents in the hands of technical power users.

• 
  Timiwise (@TIMI_MONEY01) reported 47 minutes ago

  FB TUT PIA VPN connect to Missouri Download phoenix app Create a new gmail Create a new Facebook account on phoenix app Login to Facebook app and create a page Enjoy

• 
  Not Caleb Dean (@FakeCalebDean) reported 51 minutes ago

  I started by talking to a chatbot. Today I run a system of AI agents that researches, builds, applies, trades, guards my accounts, and verifies its own work — while I sleep. No degree. No team. No funding. This is the full record. 🧵👇 📍 𝗣𝗛𝗔𝗦𝗘 𝟭 — 𝗧𝗵𝗲 𝘁𝘆𝗽𝗲𝘄𝗿𝗶𝘁𝗲𝗿 𝗽𝗵𝗮𝘀𝗲 Copy-paste prompts into ChatGPT. Felt like magic. It wasn't. A chatbot that can't touch your files, your browser, or your inbox is a very smart typewriter. The first real lesson: 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗶𝘀𝗻'𝘁 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁. 𝗧𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝘄𝗿𝗮𝗽𝗽𝗲𝗱 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁 𝗶𝘀. 📍 𝗣𝗛𝗔𝗦𝗘 𝟮 — 𝗕𝗼𝘁𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴, 𝗽𝗲𝗿𝗳𝗲𝗰𝘁𝗹𝘆 I stopped asking questions and started shipping tools: • 𝗕𝗧𝗖 & 𝗘𝗧𝗛 𝟭𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 — live signal engines with their own audio alerts. When an A+ setup fires, my speakers tell me before my eyes do. • 𝟯𝗟𝗦 𝗘𝘅𝗽𝗲𝗿𝘁 𝗔𝗱𝘃𝗶𝘀𝗼𝗿 — my own three-level strategy written in MQL5, running unattended on MetaTrader. • 𝟰𝗛 𝟮𝟬𝟬-𝗠𝗔 𝗽𝘂𝗹𝗹𝗯𝗮𝗰𝗸 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — price above the 200, wick tagging it, RSI under 50, closed candles only. No repainting, no excuses. • 𝗣𝗼𝗹𝘆𝗺𝗮𝗿𝗸𝗲𝘁 𝗰𝗼𝗽𝘆-𝗯𝗼𝘁 + 𝘄𝗮𝘃𝗲 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — mirrors sharp wallets and maps where the money is moving. • 𝗢𝘃𝗲𝗿/𝗨𝗻𝗱𝗲𝗿 𝗦𝗵𝗮𝗿𝗸 — sports line scanner that hunts mispriced totals. • 𝗘𝗗𝗚𝗔𝗥 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — reads SEC filings the second they drop. • 𝗗𝗶𝘀𝗰𝗼𝗿𝗱 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — watches the servers I care about so I don't have to. • 𝗦𝗔𝗠.𝗴𝗼𝘃 𝗯𝗶𝗱 𝗳𝗶𝗻𝗱𝗲𝗿 + 𝗯𝗶𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 — a Chrome extension that surfaces government contracts and drafts the response. Every one taught the same thing: the AI is the easy part. The hard part is the data, the edge cases, and proving the bot isn't quietly lying to you. 📍 𝗣𝗛𝗔𝗦𝗘 𝟯 — 𝗔𝗴𝗲𝗻𝘁𝘀 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗹𝗱 This is where it stopped being scripts and started being labor. • 𝗝𝗼𝗯-𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗴𝗲𝗻𝘁𝘀 — read the posting, tailor the answers, drive the actual hiring site, submit, then open my Gmail and confirm the receipt exists. 14 applications in 40 minutes. Every one verified by the email, not by the bot's word. Separate lanes for FedEx, xAI, Memphis-metro roles, and fully-remote Greenhouse jobs. • 𝗔𝗽𝗲𝘅 + 𝗕𝗼𝗼𝗸𝗺𝗮𝗽 𝗚𝘂𝗮𝗿𝗱 — a risk layer that watches my funded trading account and stops me from breaching the rules that would blow it. • 𝗙𝗹𝗮𝘀𝗵-𝗨𝗦𝗗𝗧 𝗚𝘂𝗮𝗿𝗱 — detects fake "flash" stablecoin tokens before they touch a wallet. • 𝗗𝗲𝗮𝗹 𝘀𝗰𝗼𝘂𝘁 — crawls business marketplaces, filters by real revenue and age, blacklists the junk, and hands me a shortlist of finalists to verify. • 𝗗𝗼𝗿𝗺𝗮𝗻𝘁 𝗜𝗣𝘃𝟰 𝗹𝗲𝗮𝗱 𝗹𝗶𝘀𝘁 — found unused address blocks in the ARIN region and turned them into a broker lead list. • 𝗙𝗼𝗿𝘄𝗮𝗿𝗱-𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗿𝗮𝗰𝗸𝗲𝗿 — finds FDE roles hiding under other titles. • 𝗧𝗿𝘂𝘁𝗵-𝗳𝗶𝗻𝗱𝗲𝗿 — pulls breaking news and cross-references it across sources before I believe any of it. • 𝗬𝗼𝘂𝗧𝘂𝗯𝗲-𝗹𝗲𝗮𝗿𝗻 — reads a video's transcript, extracts the actual steps and claims, and files it in a library I can search months later. • 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗳𝘂𝗻𝗻𝗲𝗹 𝗺𝗼𝗱𝗲𝗹𝗲𝗿 — finds a live offer, matches it to a traffic source, models the funnel by EPC, and returns a go/no-go with hard kill thresholds. 📍 𝗣𝗛𝗔𝗦𝗘 𝟰 — 𝗦𝗨𝗣𝗘𝗥𝗔𝗚𝗘𝗡𝗧 Then I built the thing that builds the things. SUPERAGENT is my own orchestrator on top of Claude Code. It: → takes a goal, plans it, and spawns up to 16 subagents that work in parallel → drives a live Chrome session with my logins — clicks, fills, reads, verifies → reads my email, calendar, Drive, and brokerage account through real connectors → routes heavy reasoning to the strongest model and cheap scans to the cheapest one → runs every task as a closed loop: propose → validate → execute → feedback Six hardening layers make it trustworthy: 1. Cheap check before expensive check — nothing runs the real test until it passes the fast one 2. Typed failures — every error is classified (malformed, rejected, crash, silent-fail) before a retry is allowed 3. A completion supervisor that climbs an escalation ladder instead of thrashing 4. A silent-fail watchdog — 𝗲𝘃𝗲𝗿𝘆 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗶𝘀 𝗿𝗲-𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗯𝘆 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘁𝗵𝗮𝘁 𝗯𝘂𝗶𝗹𝘁 𝗶𝘁 5. A live task board so I can watch the swarm work in real time 6. Instruction-source discipline — nothing it reads on the web can give it orders; only I can It keeps a memory of 97 logged lessons from its own past runs. Every run starts smarter than the last. I wrote the architecture up as a whitepaper: "𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗕𝗼𝘂𝗻𝗱𝗲𝗱 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆." It also lives on a USB drive that boots the same system on a Mac. 📍 𝗣𝗛𝗔𝗦𝗘 𝟱 — 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀 22 of 22 Claude Academy courses. Google Skills badges. Completed in days, not months — by the agents I built, supervised and audited by me. Every certificate verified in my inbox. 𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 2024: I asked AI questions. 2026: I give AI goals and audit the receipts. The distance between those two sentences is the entire skill — and almost nobody has crossed it yet. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗵𝗶𝘀 𝗴𝗼𝗲𝘀 Everything above was practice. Reps. Infrastructure. The next thing I build is the one that gets monetized to the highest degree possible — a system that finds the opportunity, builds the product, sells it, and proves the money landed, without me in the room. That's the difference I'm here to make. Not a tool. A machine that makes a living.

• 
  Nick (@nickbaumann_) reported 53 minutes ago

  ChatGPT Work got me $95.46 in Uber Cash after two back-to-back cancelled Uber Eats orders Both were cancelled ~45 minutes after I placed them. I was refunded for the orders themselves, but support initially refused to give me anything for the ~90 minutes they wasted I told ChatGPT Work not to stop until it got some kind of compensation, then let it handle the rest 15 minutes of active work and ~2.5 hours of background follow-up later, the money was in my account here’s the full sequence: 6:11 PM: first order cancelled after a ~45 minute wait. I was refunded, but got nothing for the wasted time 6:19 PM: I told ChatGPT Work to get me some kind of consolation and not back down. It opened a support case and asked for $20 in Uber Cash 6:22 PM: the first agent refused any credit or promo. ChatGPT rejected the resolution and asked for a supervisor, then tried a promo, fee waiver, Uber One extension, or membership adjustment instead 6:31 PM: a second agent also refused compensation. ChatGPT kept the case open and got it transferred to the Uber One team 7:18 PM: my replacement order from the same restaurant was also cancelled after another ~45 minute wait. I was refunded again, but still received no compensation. I told ChatGPT to keep going 7:25 PM: ChatGPT opened a separate Uber One case covering both failures, raised the ask to $30, and pushed the agent to transfer it to a specialist 7:33 PM: ChatGPT submitted a separate written complaint with both cancellation times, the second order ID, and my annual Uber One membership details 7:34 PM: ChatGPT confirmed my Uber Wallet was still at $0 and set up background checks across both support cases, Gmail, and the wallet 7:50 PM: an Uber specialist approved $40.62 for the first cancellation and $54.84 for the second, totaling $95.46 in Uber Cash 8:44 PM: ChatGPT found the response, verified the credit in my actual Uber Wallet, marked the goal complete, and shut down its own follow-up automation credit where it’s due: this was a genuinely frustrating experience, but Uber ultimately made it right (& then some tbh) and treated me like the longtime, frequent customer I am

• 
  Henrique Meyer (@HenriqueMeyerFL) reported 60 minutes ago

  @poteto @bot I signed up for the Supergrok Heavy last Thursday. Grok Bot went through an entire week's worth of usage on day 1, and another $1000+ in on-demand usage since then. I love the concept, but this is ridiculous. Grok Bot is incredible, but here are some major problems I'm having during my first week. 1. Since all the bots share a computer, they are all logged into the same Chrome sessions. Fine -- but I have different projects with different accounts that a bot needs to be logged into for each one. So I created Chrome profiles. The profiles seem to get wiped clean frequently, so I had to make a bot to police the other bots and force them to stay in the correct profiles for their projects. The plugins also only connect to one account each. Like Gmail only connects to one Gmail account. 2. I can chat with regular Grok all day and not reach any kind of token limit. If I try to work through the same things with Grok Bot, it burns through so money so quickly. But I want the bots to have the context of the conversation I'm having, and using regular Grok is completely separate from anything I'm working on in Grok Bot. 3. One bot, one screen. Why can't the same bot do things on multiple screens at the same time? I'm limited to one computer at a time because I'm human and I only have 1 set of eyes and 2 hands. I shouldn't have to spin up several bots for something that should be covered under the same role, just so different tasks can be done asynchronously. One bot brain with multiple screens should be able to handle tasks a lot faster, and skip having to communicate between different bots to get something done. 4. Authentication/Passkey/WindowsHello/2FA always requires human interaction. Any way to set up a password store and Passkeys on the Bot computer to avoid me having to re-login all the time? 5. Bot looks like it's "thinking" but the screen is still. What's going on? Am I getting billed for this silent time? Need way more transparency regarding how much usage is happening, or I'll go bankrupt before Grok Bot actually has a chance to help bring in revenue.