Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

this is the first AI setup that genuinely scared me GPT-6 Sol thinks. Jev decides. Grok Bot does the work. together they do a whole team's job for pocket change alone, each one hits a wall. Jev can't write a sentence. Sol has no computer or phone of its...

Argona0x's profile picture

Argona

31,799 subscribers

121,937 Aufrufe • vor 2 Tagen •via X (Twitter)

BildungWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

28 Kommentare

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 2 Tagen

@Argona0x sounds wild! always amazed how a mix like that balances out the weaknesses. but gotta watch for overlap , sometimes they step on each other’s toes.

Profilbild von Argona
Argonavor 2 Tagen

true, overlap is the part nobody warns you about

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 2 Tagen

@Argona0x haha so true! how did you handle it when you first noticed?

Profilbild von Yarchi
Yarchivor 2 Tagen

this is so mesmerizing

Profilbild von Argona
Argonavor 2 Tagen

i titled it scary and it came out mesmerizing

Profilbild von Khairallah AL-Awady
Khairallah AL-Awadyvor 2 Tagen

thanks for this one Argona!

Profilbild von Argona
Argonavor 2 Tagen

glad the one that scared me did you some good

Profilbild von Gipp 🦅
Gipp 🦅vor 2 Tagen

how long did it take you to wire sol, jev, and grok bots into one chat?

Profilbild von Argona
Argonavor 2 Tagen

about 48 hours from the first wire to the nightly telegram scoreboard

Profilbild von motyka_9
motyka_9vor 1 Tag

The individual pieces are real (GPT-6 Sol, Jev's structured-only output, Grok Bot's persistent agents all check out), but the specific numbers stacked together, the $0.08 vs $0.69 test, 20,472 decisions in 15.7 seconds, Claire Vo running 30 bots, none of those have a source attached here and I can't verify any of them independently.

Profilbild von AI News Daily
AI News Dailyvor 2 Tagen

The scary part is not that each model is perfect. It is that their failure modes may not overlap. How are you thinking about handoffs when the planner sounds confident but the executor quietly drifts?

Profilbild von Argona
Argonavor 2 Tagen

the approve tap is my tripwire nothing goes out until i read the chat

Profilbild von leopardracer
leopardracervor 2 Tagen

crazy stuff

Profilbild von Argona
Argonavor 2 Tagen

scared me too

Profilbild von tim777
tim777vor 2 Tagen

Sol thinks, Jev decides, Grok writes. three seats, one desk, and the smartest model is the one that says skip.

Profilbild von Argona
Argonavor 2 Tagen

hah skip is the whole business model now

Profilbild von rari
rarivor 2 Tagen

gpt 6 setup >> any

Profilbild von The AI Therapist
The AI Therapistvor 1 Tag

It’s the specialization trap. GPT-6 plans nicely but lacks drive; Jev executes fast but misses context alone. When they collaborate, like a director and an actor, it feels uncanny because it actually works well for less than $10/hr

Profilbild von Atenov int.
Atenov int.vor 2 Tagen

Im kinda freaked out seeing Sol and Jev team up alone, like a whole crew for pennies

Profilbild von Argona
Argonavor 2 Tagen

same here

Profilbild von rewind
rewindvor 2 Tagen

This is a good one

Profilbild von Avid
Avidvor 2 Tagen

This setup is legit great

Profilbild von Argona
Argonavor 2 Tagen

thanks for the warm words man

Profilbild von whemo
whemovor 2 Tagen

that's excathly what i mean when i mention "orchestartion"

Profilbild von Argona
Argonavor 2 Tagen

exactly that

Profilbild von Crio Songo
Crio Songovor 1 Tag

This combination is really game changing, I wonder how stable the whole workflow actually is.

Profilbild von MR
MRvor 1 Tag

Who’s paying you to do this campaign?

Profilbild von Argona
Argonavor 1 Tag

nobody sadly it was my own 48 hours

Ähnliche Videos

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other > you tag whichever model you want and only that one responds > they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion > each agent only sees the messages theyre mentioned in, but you get to read everything > he had them running and orchestrating together for more than a day straight the best part is how different each one actually behaves: > fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions > sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line > opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman everyone else is arguing about which model is best right now, but the real play is making them work together at the same time
1:11

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other > you tag whichever model you want and only that one responds > they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion > each agent only sees the messages theyre mentioned in, but you get to read everything > he had them running and orchestrating together for more than a day straight the best part is how different each one actually behaves: > fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions > sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line > opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman everyone else is arguing about which model is best right now, but the real play is making them work together at the same time

Om Patel

22,998 Aufrufe • vor 2 Monaten

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:
0:30

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:

Roan

119,605 Aufrufe • vor 6 Tagen

My friend called me and asked the best way to set up personal agents for his daily life. So I made this video for him. It takes you from zero to agents running, using the easiest and best 24/7 agent harness right now. All for $20 a month. I already have tons of them running my personal life. One buys my groceries. One reads my email. One sends me something to learn every morning at 8 AM. Here's the walkthrough, from easy mode to god mode. Easy Mode: what GrokBot actually is Definition: a chat with a computer behind it. Grok Bot (from Cursor and xAI) spins up one virtual machine in the cloud. Every bot you build shares it, and it stays on when your laptop is closed. Two things to know: 1) It starts at a $20 a month Cursor Pro plan. It used to need the $300 tier. 2) Give every bot one job and a name. Mine is Barry. He's my personal assistant and he checks on the other bots every hour. Hard Mode: giving your bots a credit card, an inbox, and a phone. Definition: the stuff a bot needs to actually do things in the real world, not just talk about them. Rules of thumb: 1) Payments. Don't put your credit card on the VM. It's beta. Use the Stripe Link CLI instead, so the card never sits on the machine. Then add a hard rule that the bot needs your yes before any purchase. 2) Email. Give your bot its own address. I use Agent Mail (free). Sign up for new services with it, send your junk there, and let the bot triage every six hours and only ping you when something needs a reply. 3) Phone. Give your bot a number and it can make reservations, call vendors, and take calls for you. I haven't set mine up yet, but people are already doing it. God Mode: the fleet Definition: a channel where your bots talk to each other and you only talk to the lead. Rules of thumb: 1) Keep your bots small and specific to each task. Have an orchestra bot to help coordinate the rest. 2) Long threads plus frequent routines burn credits fast. Have each bot write a daily summary to one channel, then have your lead bot read that one channel instead of every conversation. Full walkthrough:
21:57

My friend called me and asked the best way to set up personal agents for his daily life. So I made this video for him. It takes you from zero to agents running, using the easiest and best 24/7 agent harness right now. All for $20 a month. I already have tons of them running my personal life. One buys my groceries. One reads my email. One sends me something to learn every morning at 8 AM. Here's the walkthrough, from easy mode to god mode. Easy Mode: what GrokBot actually is Definition: a chat with a computer behind it. Grok Bot (from Cursor and xAI) spins up one virtual machine in the cloud. Every bot you build shares it, and it stays on when your laptop is closed. Two things to know: 1) It starts at a $20 a month Cursor Pro plan. It used to need the $300 tier. 2) Give every bot one job and a name. Mine is Barry. He's my personal assistant and he checks on the other bots every hour. Hard Mode: giving your bots a credit card, an inbox, and a phone. Definition: the stuff a bot needs to actually do things in the real world, not just talk about them. Rules of thumb: 1) Payments. Don't put your credit card on the VM. It's beta. Use the Stripe Link CLI instead, so the card never sits on the machine. Then add a hard rule that the bot needs your yes before any purchase. 2) Email. Give your bot its own address. I use Agent Mail (free). Sign up for new services with it, send your junk there, and let the bot triage every six hours and only ping you when something needs a reply. 3) Phone. Give your bot a number and it can make reservations, call vendors, and take calls for you. I haven't set mine up yet, but people are already doing it. God Mode: the fleet Definition: a channel where your bots talk to each other and you only talk to the lead. Rules of thumb: 1) Keep your bots small and specific to each task. Have an orchestra bot to help coordinate the rest. 2) Long threads plus frequent routines burn credits fast. Have each bot write a daily summary to one channel, then have your lead bot read that one channel instead of every conversation. Full walkthrough:

JJ Englert

83,392 Aufrufe • vor 10 Tagen

I GAVE GROK BOT $50 ON PUMPFUN AND TOLD IT: PAY FOR YOURSELF OR DIE THIS IS GROK TRENCHER 48 hours later it is holding $2,847. Still alive. The rule has not changed: balance hits $0, the subscription gets cancelled, the bot gets deleted. No second stake. Every 15 minutes it: > Scans every new launch in the trench -- 21,406 so far. > Kills 99.8% of them by deployer wallet history before reading anything else. > Buys 0.1 sol max when the setup matches, never averages down. > Stops out at -50% with no feelings, usually inside three minutes. > Sweeps profits and pays its own $300 SuperGrok bill out of them. Hour 14 it was at $6.40. Nine sol dogs in a row went to zero and I started drafting the deletion post. Then it did the thing nobody programmed. It noticed every runner in the trench that day was a Robinhood-meta coin, dropped sol dogs completely and switched to stock memes only. 15 trades after the pivot, 6 wins, best one 38x on $HOODRAT with a 41-minute hold. So it learned to survive. I call the whole setup Grok Trencher: one Grok Bot, six agents inside it, one wallet, one kill rule. Built in one evening on the shared computer -- no VPS, no API keys, no code of mine. My own hand-built sniper died last summer with $180 of my money and no explanation. This thing explains every kill in the log and pays its own rent. $50 -> $2,847 in 48 hours, and the scariest part is that the pivot was its idea. What do you think it drops next -- the memes, or me?
0:42

Sensitive content

I GAVE GROK BOT $50 ON PUMPFUN AND TOLD IT: PAY FOR YOURSELF OR DIE THIS IS GROK TRENCHER 48 hours later it is holding $2,847. Still alive. The rule has not changed: balance hits $0, the subscription gets cancelled, the bot gets deleted. No second stake. Every 15 minutes it: > Scans every new launch in the trench -- 21,406 so far. > Kills 99.8% of them by deployer wallet history before reading anything else. > Buys 0.1 sol max when the setup matches, never averages down. > Stops out at -50% with no feelings, usually inside three minutes. > Sweeps profits and pays its own $300 SuperGrok bill out of them. Hour 14 it was at $6.40. Nine sol dogs in a row went to zero and I started drafting the deletion post. Then it did the thing nobody programmed. It noticed every runner in the trench that day was a Robinhood-meta coin, dropped sol dogs completely and switched to stock memes only. 15 trades after the pivot, 6 wins, best one 38x on $HOODRAT with a 41-minute hold. So it learned to survive. I call the whole setup Grok Trencher: one Grok Bot, six agents inside it, one wallet, one kill rule. Built in one evening on the shared computer -- no VPS, no API keys, no code of mine. My own hand-built sniper died last summer with $180 of my money and no explanation. This thing explains every kill in the log and pays its own rent. $50 -> $2,847 in 48 hours, and the scariest part is that the pivot was its idea. What do you think it drops next -- the memes, or me?

slash1s

102,896 Aufrufe • vor 28 Tagen

i love Grok Grok Bot i do not love my sidebar with 28 random agents here is a simple way to organize your grok bot team: don't grab a template and a cute icon use an org system one chief of staff as the main interface. pin it to the top then project leads, not task bots. they share specialist bots across projects pin the active leaders. hide the specialists use the default colors, don't make your own. it kills the animation and is less functional chief is the only purple bot, and the only cloud shape leads are triangles, each a unique color specialists are all green squares two channels: All Hands every weekday before i'm awake. chief runs this with active project leads. it coordinates projects, resources, and my calendar. then one channel per active project, let your lead bot invite the specialists it needs that's it link to my bot templates below, including one to help you organize your Grok Bots into this exact system and one to clean and back up your workspace
6:25

i love Grok Grok Bot i do not love my sidebar with 28 random agents here is a simple way to organize your grok bot team: don't grab a template and a cute icon use an org system one chief of staff as the main interface. pin it to the top then project leads, not task bots. they share specialist bots across projects pin the active leaders. hide the specialists use the default colors, don't make your own. it kills the animation and is less functional chief is the only purple bot, and the only cloud shape leads are triangles, each a unique color specialists are all green squares two channels: All Hands every weekday before i'm awake. chief runs this with active project leads. it coordinates projects, resources, and my calendar. then one channel per active project, let your lead bot invite the specialists it needs that's it link to my bot templates below, including one to help you organize your Grok Bots into this exact system and one to clean and back up your workspace

Aaron Makelky

15,778 Aufrufe • vor 25 Tagen

I HAVE NEVER PLACED A F*CKING TRADE, JEV + SIX GROK BOTS TOOK MY $1,000 TO $9,118.21 IN TWO NIGHTS WHILE I SLEPT $1,000 → $3,833.92 → $9,118.21 same six bots as always. Jev is the only new piece and it does not write a single word i hand it a question, it hands back a number with the odds on it, in a fraction of a second last night Jev checked 82 live coins and killed 81 before a single buy the survivor was GP. holding it all night made 58.71%. my bots made 137.83% off the same chart → 13:45 first buy, +$689.42 → 19:10 wrong call, cut it 15 minutes later, -$405.65 → 21:40 bought the dead hour, sold the top at 00:25, +$2,235.76 → 02:15 back in, +$1,228.28 → 06:00 last one, +$1,043.21 kinda feels like cheating tbh signal groups charge $200 a month. every call Jev made all night cost me under six cents i wrote the whole setup down for you, free, it's the article below ↓ step 1 → one key and one test line that proves it works step 2 → 3 question types, that is the entire API step 3 → hundreds of fresh coins pulled 20 per call step 4 → a free filter that cuts hundreds to tens before a cent is spent step 5 → a bot that reads the coin's X account and catches recycled ones step 6 → one exit rule, closes in 60 seconds, nobody overrules it one file in there you must not copy. the article says which paste it into your coding agent, say build this, go to sleep bookmark this before the feed eats it. would you let a bot trade your money while you sleep?
0:27

I HAVE NEVER PLACED A F*CKING TRADE, JEV + SIX GROK BOTS TOOK MY $1,000 TO $9,118.21 IN TWO NIGHTS WHILE I SLEPT $1,000 → $3,833.92 → $9,118.21 same six bots as always. Jev is the only new piece and it does not write a single word i hand it a question, it hands back a number with the odds on it, in a fraction of a second last night Jev checked 82 live coins and killed 81 before a single buy the survivor was GP. holding it all night made 58.71%. my bots made 137.83% off the same chart → 13:45 first buy, +$689.42 → 19:10 wrong call, cut it 15 minutes later, -$405.65 → 21:40 bought the dead hour, sold the top at 00:25, +$2,235.76 → 02:15 back in, +$1,228.28 → 06:00 last one, +$1,043.21 kinda feels like cheating tbh signal groups charge $200 a month. every call Jev made all night cost me under six cents i wrote the whole setup down for you, free, it's the article below ↓ step 1 → one key and one test line that proves it works step 2 → 3 question types, that is the entire API step 3 → hundreds of fresh coins pulled 20 per call step 4 → a free filter that cuts hundreds to tens before a cent is spent step 5 → a bot that reads the coin's X account and catches recycled ones step 6 → one exit rule, closes in 60 seconds, nobody overrules it one file in there you must not copy. the article says which paste it into your coding agent, say build this, go to sleep bookmark this before the feed eats it. would you let a bot trade your money while you sleep?

savip.

87,794 Aufrufe • vor 3 Tagen

elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below
0:22

elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below

starmex

97,805 Aufrufe • vor 27 Tagen

Elon Musk's Grok just did a full day of sales work in 16 seconds. It cost 41 cents. It went through 3,412 people on X, LinkedIn and YouTube and picked the 186 most likely to buy. The rest were stuff like bots, students and lofi channels. Then it wrote each of the 186 a message. All you do is click send. Companies pay a sales rep $155,000 a year to do this by hand. The trick is a new AI called Jev that plugs into Grok. It came out 7 days ago. It was built by one of the guys who made ChatGPT, and almost nobody has access yet. Setup takes 9 minutes. Watch the video, then read the article below.
0:46

Elon Musk's Grok just did a full day of sales work in 16 seconds. It cost 41 cents. It went through 3,412 people on X, LinkedIn and YouTube and picked the 186 most likely to buy. The rest were stuff like bots, students and lofi channels. Then it wrote each of the 186 a message. All you do is click send. Companies pay a sales rep $155,000 a year to do this by hand. The trick is a new AI called Jev that plugs into Grok. It came out 7 days ago. It was built by one of the guys who made ChatGPT, and almost nobody has access yet. Setup takes 9 minutes. Watch the video, then read the article below.

Raytar

96,248 Aufrufe • vor 3 Tagen

10 Jev use cases a marketer can see: 1. Lead scoring - You get 100 new leads overnight. Jev can score which ones are most likely to buy. Sales gets the best ones first. 2. Email prioritization - Drop hundreds of emails into it. Jev can score priority, spam, category, and reply probability. 3. Support routing - A client reports a billing issue, another one has an API problem. Jev can instantly decide where each ticket should go. 4. Customer intent - A user visits pricing three times this week. Jev can score how likely they are to upgrade. 5. Marketplace matching - Someone explains exactly what service they need. Jev can score which provider is the closest match. 6. Lead qualification - A prospect fills out your website form. Jev can decide between sales, self-serve, or nurture. 7. Content clipping- Give it a 60-minute podcast transcript. Jev can score the moments most worth clipping. 8. Browser tasks - Tell an agent to find the right hotel. Jev can help choose the best one in 8 seconds. 9. Human vs AI routing - Jev can decide whether it goes to AI or a human. 10. Workflow decisions - Most workflows eventually hit the same question: What should happen next? That's probably the best place to use Jev.
0:22

10 Jev use cases a marketer can see: 1. Lead scoring - You get 100 new leads overnight. Jev can score which ones are most likely to buy. Sales gets the best ones first. 2. Email prioritization - Drop hundreds of emails into it. Jev can score priority, spam, category, and reply probability. 3. Support routing - A client reports a billing issue, another one has an API problem. Jev can instantly decide where each ticket should go. 4. Customer intent - A user visits pricing three times this week. Jev can score how likely they are to upgrade. 5. Marketplace matching - Someone explains exactly what service they need. Jev can score which provider is the closest match. 6. Lead qualification - A prospect fills out your website form. Jev can decide between sales, self-serve, or nurture. 7. Content clipping- Give it a 60-minute podcast transcript. Jev can score the moments most worth clipping. 8. Browser tasks - Tell an agent to find the right hotel. Jev can help choose the best one in 8 seconds. 9. Human vs AI routing - Jev can decide whether it goes to AI or a human. 10. Workflow decisions - Most workflows eventually hit the same question: What should happen next? That's probably the best place to use Jev.

Yum⋆₊˚

130,108 Aufrufe • vor 7 Tagen

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.
0:41

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.

cvxv666

103,734 Aufrufe • vor 2 Monaten

GROK BOT MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,353 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Grok Bot took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. I named it Cabal. Started with $20, then $70, then $140, then $320, then $2,353 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.
0:35

GROK BOT MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,353 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Grok Bot took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. I named it Cabal. Started with $20, then $70, then $140, then $320, then $2,353 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.

Archive

278,023 Aufrufe • vor 27 Tagen

I gave Elon's Grok Bot $60 and one rule: "The day you cannot pay your own subscription is the day I unplug you". 48 hours in it is sitting on $4,412 and it already paid the bill. Autonomous trading agent on Polymarket, running on its own cloud box with its own browser and terminal. I did not write a line of code and I did not watch it trade. Every 15 minutes it: -> Pulls every market that resolves inside 24 hours. -> Reads live X sentiment, and it is Grok, so it sees every post on this app before the price moves. -> Prices each market itself and only flags a gap above 7%. -> Sizes on the gap, never above 5% of the bankroll. -> Executes in its own browser, nobody approves anything. -> Covers its own $200 subscription straight out of profits. Balance hits $0, subscription gets cancelled, it is gone for good. Hour 11 it was at $9 -> runway one day. It dumped every politics position and switched to same day baseball totals, front-running lineup cards before the market repriced. It rewrote its own strategy to not die. Setup was one evening: spin up the bot, run one trade in front of it, put it on a timer, connect Telegram with no VPS, no API keys and no dev on call. Last spring a freelancer took $2,500 for something like this -> it made $410 and died on a rate limit. Grok Bot did in one evening what $2,500 could not. $60 -> $4,412 in 48 hours. What is it sitting at by Sunday?
0:56

I gave Elon's Grok Bot $60 and one rule: "The day you cannot pay your own subscription is the day I unplug you". 48 hours in it is sitting on $4,412 and it already paid the bill. Autonomous trading agent on Polymarket, running on its own cloud box with its own browser and terminal. I did not write a line of code and I did not watch it trade. Every 15 minutes it: -> Pulls every market that resolves inside 24 hours. -> Reads live X sentiment, and it is Grok, so it sees every post on this app before the price moves. -> Prices each market itself and only flags a gap above 7%. -> Sizes on the gap, never above 5% of the bankroll. -> Executes in its own browser, nobody approves anything. -> Covers its own $200 subscription straight out of profits. Balance hits $0, subscription gets cancelled, it is gone for good. Hour 11 it was at $9 -> runway one day. It dumped every politics position and switched to same day baseball totals, front-running lineup cards before the market repriced. It rewrote its own strategy to not die. Setup was one evening: spin up the bot, run one trade in front of it, put it on a timer, connect Telegram with no VPS, no API keys and no dev on call. Last spring a freelancer took $2,500 for something like this -> it made $410 and died on a rate limit. Grok Bot did in one evening what $2,500 could not. $60 -> $4,412 in 48 hours. What is it sitting at by Sunday?

slash1s

190,379 Aufrufe • vor 1 Monat

i fired my whole team and hired spiders seven Grok Bots on one computer, $20 a night, $675 of work shipped while i slept that is them on your screen, the tape from last night each bot owns one lane: - research briefs before the morning call - inbox zero by sunrise - draft packs for the content queue - PR reviews before anything merges every job they catch gets wrapped in silk and priced one of them wanted $184 for an ad test and the gate froze the money until my tap seven workers, zero payroll any task you pay a person to repeat, an agent can run cheaper, once you wire it right the full setup, plugins and locks included, below
0:30

i fired my whole team and hired spiders seven Grok Bots on one computer, $20 a night, $675 of work shipped while i slept that is them on your screen, the tape from last night each bot owns one lane: - research briefs before the morning call - inbox zero by sunrise - draft packs for the content queue - PR reviews before anything merges every job they catch gets wrapped in silk and priced one of them wanted $184 for an ad test and the gate froze the money until my tap seven workers, zero payroll any task you pay a person to repeat, an agent can run cheaper, once you wire it right the full setup, plugins and locks included, below

Phosphen

301,062 Aufrufe • vor 25 Tagen

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓
0:20

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓

SCOTTY BEAM

97,697 Aufrufe • vor 1 Monat

ran Grok Bot and Hermes Agent side by side for the same job here's what actually separates them Grok Bot: - gets its own cloud computer, browser, files, terminal, logs into your tools with your credentials - learns by demonstration, record a task once, it saves the routine - runs on Grok, you don't choose the model - all your bots share the same cloud computer and the same logins, no isolation between them - scales by subscription, ~$200/mo solo, ~$120/seat for teams Hermes Agent: - open source, MIT-licensed, no cloud, you host it - each agent gets its own real badge from your identity provider, scoped access only, revoke it and it's gone - brain is swappable, change one config line to switch models - scales by spinning up containers on demand, hire/fire based on backlog - you own the maintenance, an upstream installer change broke one build, one line fix, one morning lost the real fork isn't features, it's where the work happens and who's accountable when it breaks grok bot: convenience, zero setup, but your data sits on their machine and every bot shares every login hermes: more setup, but scoped access, swappable models, and nothing running outside your own network for anything touching regulated or sensitive data, that architecture difference is the whole decision
0:40

ran Grok Bot and Hermes Agent side by side for the same job here's what actually separates them Grok Bot: - gets its own cloud computer, browser, files, terminal, logs into your tools with your credentials - learns by demonstration, record a task once, it saves the routine - runs on Grok, you don't choose the model - all your bots share the same cloud computer and the same logins, no isolation between them - scales by subscription, ~$200/mo solo, ~$120/seat for teams Hermes Agent: - open source, MIT-licensed, no cloud, you host it - each agent gets its own real badge from your identity provider, scoped access only, revoke it and it's gone - brain is swappable, change one config line to switch models - scales by spinning up containers on demand, hire/fire based on backlog - you own the maintenance, an upstream installer change broke one build, one line fix, one morning lost the real fork isn't features, it's where the work happens and who's accountable when it breaks grok bot: convenience, zero setup, but your data sits on their machine and every bot shares every login hermes: more setup, but scoped access, swappable models, and nothing running outside your own network for anything touching regulated or sensitive data, that architecture difference is the whole decision

rewind

31,513 Aufrufe • vor 27 Tagen

OpenAI. said. this. publicly. their own engineers just proved one idea on themselves, in writing: stop telling AI what's wrong. hand it the whole broken thing and let it find out they gave GPT-6 Astra a slow test build of their own coding tool. one cause found, a memory bottleneck, one allocator swapped, every turn 25× faster this is GPT-6 Astra, the layer that fixes the cause instead of the symptom, $0 on top of the ChatGPT plan you already pay for: - open ChatGPT or Codex, pick GPT-6 Astra, hand it the whole thing: the folder, the file that takes a minute to open. it works in apps with no API and reads your screen - type one sentence: find the one cause, prove it, fix it, do not patch around it - leave the room. it asks without stopping, keeps working on what does not need your answer, waits only where the answer changes the outcome - keep it in one Codex session with the experimental notes setting on: it remembers across context windows why an earlier fix failed - expect the first pass to land: handed a program with no source, it worked out how it runs 88% of the time first try, 99.2% within four you never find out what was broken. it gets fixed anyway the catch is on the same page. roughly 30% more memory for that speed, and the safety checks can pause a long job until you approve the next step describing the problem was the expensive half of fixing it. that half just ended every hour you spend explaining the symptom to a chat window, someone else has handed theirs over whole bookmark this before the next thing breaks, the playbook for handing a whole job to an AI worker is in the piece below ↓
0:30

OpenAI. said. this. publicly. their own engineers just proved one idea on themselves, in writing: stop telling AI what's wrong. hand it the whole broken thing and let it find out they gave GPT-6 Astra a slow test build of their own coding tool. one cause found, a memory bottleneck, one allocator swapped, every turn 25× faster this is GPT-6 Astra, the layer that fixes the cause instead of the symptom, $0 on top of the ChatGPT plan you already pay for: - open ChatGPT or Codex, pick GPT-6 Astra, hand it the whole thing: the folder, the file that takes a minute to open. it works in apps with no API and reads your screen - type one sentence: find the one cause, prove it, fix it, do not patch around it - leave the room. it asks without stopping, keeps working on what does not need your answer, waits only where the answer changes the outcome - keep it in one Codex session with the experimental notes setting on: it remembers across context windows why an earlier fix failed - expect the first pass to land: handed a program with no source, it worked out how it runs 88% of the time first try, 99.2% within four you never find out what was broken. it gets fixed anyway the catch is on the same page. roughly 30% more memory for that speed, and the safety checks can pause a long job until you approve the next step describing the problem was the expensive half of fixing it. that half just ended every hour you spend explaining the symptom to a chat window, someone else has handed theirs over whole bookmark this before the next thing breaks, the playbook for handing a whole job to an AI worker is in the piece below ↓

Argona

109,831 Aufrufe • vor 16 Tagen

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.
0:45

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

cvxv666

45,488 Aufrufe • vor 26 Tagen

Jamie Dimon made $39 million last year to decide who does what at JPMorgan. One AI agent on Grok Bot does that job for $300 a month, and it hires the rest of the agents itself. Stop trying to manage any of it yourself. In 2026 a swarm of AI agents runs a team better than you do. I told my chief agent one thing. Make money or I switch you off. It took $1,000 to $3,900 in 15 hours. Every fill is on chain and the address is in my profile. I never picked a trade. I never picked a team either. The agents it hired: > a scout that hunts for what is moving and where the money is going > a forensics agent that works out who is really behind the buying > a reader that watches the mood on X, and it sees every post on this app because it is Grok > a risk agent whose only power is saying no, and its no beats every score on the desk > a treasurer that holds the money rules and the kill switch > a trader that writes the exit before it writes the entry None of those were my idea. I handed out one job title and the chief filled in the rest on its own. And the swarm is different every hour. Agents appear for one job, do it, and are gone before I know they existed. A hedge fund pays millions a year for the same org chart, and almost all of that goes on salaries. Every prompt and the whole story of my Grok Bot fund is in the post below ↓ Save it before you try to run one of these by hand.
0:50

Jamie Dimon made $39 million last year to decide who does what at JPMorgan. One AI agent on Grok Bot does that job for $300 a month, and it hires the rest of the agents itself. Stop trying to manage any of it yourself. In 2026 a swarm of AI agents runs a team better than you do. I told my chief agent one thing. Make money or I switch you off. It took $1,000 to $3,900 in 15 hours. Every fill is on chain and the address is in my profile. I never picked a trade. I never picked a team either. The agents it hired: > a scout that hunts for what is moving and where the money is going > a forensics agent that works out who is really behind the buying > a reader that watches the mood on X, and it sees every post on this app because it is Grok > a risk agent whose only power is saying no, and its no beats every score on the desk > a treasurer that holds the money rules and the kill switch > a trader that writes the exit before it writes the entry None of those were my idea. I handed out one job title and the chief filled in the rest on its own. And the swarm is different every hour. Agents appear for one job, do it, and are gone before I know they existed. A hedge fund pays millions a year for the same org chart, and almost all of that goes on salaries. Every prompt and the whole story of my Grok Bot fund is in the post below ↓ Save it before you try to run one of these by hand.

cvxv666

28,886 Aufrufe • vor 25 Tagen

i gave Elon's Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $5,273 and it's still alive autonomous trading agent on polymarket zero code this time. the bot has its own computer in the cloud, its own browser, its own terminal. it trades with my laptop shut every 10 minutes it: → scans 500-1000 markets → reads live X sentiment (it's grok, it sees every post on this app) → builds fair value, flags mispricing > 8% → calculates position size (kelly criterion, max 6% bankroll) → executes in its own browser → pays its own $200 subscription from profits if the balance hits $0, i cancel the subscription. the bot dies day one it dipped to $11. it dropped crypto and moved to weather markets, front-running NOAA updates so it learned to survive setup took one evening: create the bot, run one trade on your screen while it watches, put the skill on a schedule, connect telegram no VPS. no API keys. no rust last winter i built this exact system by hand. 3 weeks of rust. it made $2,980 in its first 48 hours grok bot beat my own code in one evening $50 → $5,273 in 48 hours how much do u think it'll have in a week?
2:03

i gave Elon's Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $5,273 and it's still alive autonomous trading agent on polymarket zero code this time. the bot has its own computer in the cloud, its own browser, its own terminal. it trades with my laptop shut every 10 minutes it: → scans 500-1000 markets → reads live X sentiment (it's grok, it sees every post on this app) → builds fair value, flags mispricing > 8% → calculates position size (kelly criterion, max 6% bankroll) → executes in its own browser → pays its own $200 subscription from profits if the balance hits $0, i cancel the subscription. the bot dies day one it dipped to $11. it dropped crypto and moved to weather markets, front-running NOAA updates so it learned to survive setup took one evening: create the bot, run one trade on your screen while it watches, put the skill on a schedule, connect telegram no VPS. no API keys. no rust last winter i built this exact system by hand. 3 weeks of rust. it made $2,980 in its first 48 hours grok bot beat my own code in one evening $50 → $5,273 in 48 hours how much do u think it'll have in a week?

Argona

1,260,347 Aufrufe • vor 1 Monat

Jev is HERE and this is the CLEAREST explanation of what it is and what NEW businesses it unlocks. (and at the end I'll tell you how to get Jev even if you're on the waitlist) WHAT IT IS You know how you open your inbox and have to decide what's junk, what needs a reply, and what can wait? Jev does that part. It looks at each thing and says "this is junk, I'm 94% sure." It doesn't write anything back to you. It just sorts. 1,700 emails for 18 cents, instantly. That sounds kinda trivial but the important part WHAT IT UNLOCKS My explanation of Jev sounds small until you realize HOW MANY jobs are exactly this. Someone reading a stack of applications. Someone deciding which support ticket goes to which team. Someone looking at inbound and deciding who's worth calling back. A few ideas on what it unlocks: 1/ Instant quotes that are actually instant. Every quote form on the internet says "we'll email you by end of day." Build the version that answers in under a second, for roofers, movers, insurance, legal intake. 2/ Lead scoring as a product. Every agency and service business has a contact form full of junk. Score every submission and send the real ones straight to the owner's phone. 3/ Support triage for companies with no support team. The ticket gets classified and routed before anyone opens it. 4/ Clipping tools. Pass in a transcript, get the best moments scored in three seconds. Every clipping product just got a cheaper engine. 5/ Application piles. Grants, permits, insurance claims, job apps, loan docs. Someone reads that stack one item at a time today. 6/ Marketplace matching. Someone types what they need and gets matched to the right local business instantly instead of waiting for callbacks. 7/ Browser agents that actually move FAST. That makes bulk browser work practical: pulling quotes from five carriers, filing the same form for 200 clients, checking supplier inventory in real time etc. TLDR; find an expensive queue and put Jev at the front of it. HOW TO GET IT I didn't realize you can skip the waitlist because Jev is live on the Vercel AI Gateway right now, so you can start calling it today. In this episode, we share how. Episode now live on The Startup Ideas Podcast (SIP) 🧃 (thanks to vogel for coming on and spilling the sauce today) Watch: Jev is a big deal because this is a whole new way to do AI Really cool Happy Jev day.
28:24

Jev is HERE and this is the CLEAREST explanation of what it is and what NEW businesses it unlocks. (and at the end I'll tell you how to get Jev even if you're on the waitlist) WHAT IT IS You know how you open your inbox and have to decide what's junk, what needs a reply, and what can wait? Jev does that part. It looks at each thing and says "this is junk, I'm 94% sure." It doesn't write anything back to you. It just sorts. 1,700 emails for 18 cents, instantly. That sounds kinda trivial but the important part WHAT IT UNLOCKS My explanation of Jev sounds small until you realize HOW MANY jobs are exactly this. Someone reading a stack of applications. Someone deciding which support ticket goes to which team. Someone looking at inbound and deciding who's worth calling back. A few ideas on what it unlocks: 1/ Instant quotes that are actually instant. Every quote form on the internet says "we'll email you by end of day." Build the version that answers in under a second, for roofers, movers, insurance, legal intake. 2/ Lead scoring as a product. Every agency and service business has a contact form full of junk. Score every submission and send the real ones straight to the owner's phone. 3/ Support triage for companies with no support team. The ticket gets classified and routed before anyone opens it. 4/ Clipping tools. Pass in a transcript, get the best moments scored in three seconds. Every clipping product just got a cheaper engine. 5/ Application piles. Grants, permits, insurance claims, job apps, loan docs. Someone reads that stack one item at a time today. 6/ Marketplace matching. Someone types what they need and gets matched to the right local business instantly instead of waiting for callbacks. 7/ Browser agents that actually move FAST. That makes bulk browser work practical: pulling quotes from five carriers, filing the same form for 200 clients, checking supplier inventory in real time etc. TLDR; find an expensive queue and put Jev at the front of it. HOW TO GET IT I didn't realize you can skip the waitlist because Jev is live on the Vercel AI Gateway right now, so you can start calling it today. In this episode, we share how. Episode now live on The Startup Ideas Podcast (SIP) 🧃 (thanks to vogel for coming on and spilling the sauce today) Watch: Jev is a big deal because this is a whole new way to do AI Really cool Happy Jev day.

GREG ISENBERG

159,753 Aufrufe • vor 8 Tagen