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OPUS 5.5 + DOTS + JEV backtested 1,840 trades over four years in one hour... three models built one agent in 55 minutes for $4.92, and an agency would quote the same scope at $120,000 write → feed → test → fence → ship Dario's Sonnet 5.5 writes the...

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Sprytix

8,388 subscribers

19,560 次观看 • 6 天前 •via X (Twitter)

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4 条评论

一般的な家族 的头像
一般的な家族6 天前

Amazing efficiency in creating and testing. Any limitations?

abdelhamid ouglhacen 的头像
abdelhamid ouglhacen6 天前

Excellent work

leo martinez 的头像
leo martinez6 天前

can you run them with subscribtion? without having to pay api

notgwapo 的头像
notgwapo5 天前

wild how fast tech's moving. $5 to $120k diff is mad. 🤔

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OPUS 5.5 + DOTS + JEV built an armed trading bot in 60 minutes for $6.80 three agents, 1.45M tokens, and the bot had a cap, a stop and a kill switch before its first order rules → data → backtest → armed Dario's Opus 5.5 writes the strategy and the risk rules Dots pulls and cleans four years of candles Jev backtests it, sets the caps and is the only one allowed to send an order six switches flip one after another: strategy spec, data, bot code, backtest, paper trade, caps and kill switch. only the sixth lets it trade Jev holds three limits: a $2,000 daily loss cap, a 4% max position and an armed kill switch the backtest replayed 1,840 trades over four years. 58% green, 31% a year, worst drawdown -22% then fees, spread and slippage eat 45% of that, and 31% on paper becomes 17% in life at 17% a year, $100,000 a month needs $7.06M of capital so the $100k comes from the capital, and the bot only cost $6.80 not one live dollar has traded yet. sixty minutes proved the bot runs, whether it earns is still open 60 minutes, $6.80, three agents, zero live trades ↓
0:51

OPUS 5.5 + DOTS + JEV built an armed trading bot in 60 minutes for $6.80 three agents, 1.45M tokens, and the bot had a cap, a stop and a kill switch before its first order rules → data → backtest → armed Dario's Opus 5.5 writes the strategy and the risk rules Dots pulls and cleans four years of candles Jev backtests it, sets the caps and is the only one allowed to send an order six switches flip one after another: strategy spec, data, bot code, backtest, paper trade, caps and kill switch. only the sixth lets it trade Jev holds three limits: a $2,000 daily loss cap, a 4% max position and an armed kill switch the backtest replayed 1,840 trades over four years. 58% green, 31% a year, worst drawdown -22% then fees, spread and slippage eat 45% of that, and 31% on paper becomes 17% in life at 17% a year, $100,000 a month needs $7.06M of capital so the $100k comes from the capital, and the bot only cost $6.80 not one live dollar has traded yet. sixty minutes proved the bot runs, whether it earns is still open 60 minutes, $6.80, three agents, zero live trades ↓

Sprytix

13,497 次观看 • 7 天前

ANTHROPIC LEAKED A $4.4M FILE WHERE 4 AGENTS BUILD A BUSINESS DOING $120K A MONTH IN 20 MINUTES four agents run for $0, and the business on top of them pulls $120,000 a month without a single salary scout → builder → seller → critic → back to the scout the scout finds who buys and at what price, the builder makes the page and the checkout the seller writes the offer and the outreach, the critic decides whether it ships at all Haiku 4.5 searches, two Sonnet 5 build and sell, Opus 5 passes the verdict no agent grades its own work - each one is checked by the next in the ring and the ring closes: the critic checks the scout one agent always gives itself an A, four in a ring never do a kickoff meeting alone takes 60 minutes, here the whole business is done in 20 $120,000 a month is 401 customers at $299 but all four come from one model family, and they share one blind spot the agents catch the errors at the edges, the one down the middle only you catch save this and paste it into Claude Code - let it build you this ring ↓
1:27

ANTHROPIC LEAKED A $4.4M FILE WHERE 4 AGENTS BUILD A BUSINESS DOING $120K A MONTH IN 20 MINUTES four agents run for $0, and the business on top of them pulls $120,000 a month without a single salary scout → builder → seller → critic → back to the scout the scout finds who buys and at what price, the builder makes the page and the checkout the seller writes the offer and the outreach, the critic decides whether it ships at all Haiku 4.5 searches, two Sonnet 5 build and sell, Opus 5 passes the verdict no agent grades its own work - each one is checked by the next in the ring and the ring closes: the critic checks the scout one agent always gives itself an A, four in a ring never do a kickoff meeting alone takes 60 minutes, here the whole business is done in 20 $120,000 a month is 401 customers at $299 but all four come from one model family, and they share one blind spot the agents catch the errors at the edges, the one down the middle only you catch save this and paste it into Claude Code - let it build you this ring ↓

Sprytix

43,407 次观看 • 19 天前

ANTHROPIC LEAKED A FILE WHERE 5 AGENTS WITH JEV BUILD A $1.2M A YEAR SYSTEM IN 30 MINUTES you pay $3.70 and walk away with an asset that can do $1.2M a year repo → data model → API → UI → evals no layer starts until the one under it is closed, and that edge is what turns five scripts into a system the operator on Haiku 4.5 brings up the repo and CI, the architect on Opus 5 lays down the data model and migrations two builders on Sonnet 5 run API and UI in parallel, and the reviewer on Opus 5.5 can keep finished code out of prod the evals were sitting in the file before the first line of code existed at minute zero there was not a single file, by the end it is a working product with payments and tests five agents cover in half an hour what a human team bills for a quarter JEV hands one line between layers instead of the whole history, so the next agent never re-reads the project and the run costs $3.70 instead of $370 the build takes 30 minutes, the first customers show up weeks later save this and paste it into Claude Code - let it assemble those 5 layers for you ↓
1:20

ANTHROPIC LEAKED A FILE WHERE 5 AGENTS WITH JEV BUILD A $1.2M A YEAR SYSTEM IN 30 MINUTES you pay $3.70 and walk away with an asset that can do $1.2M a year repo → data model → API → UI → evals no layer starts until the one under it is closed, and that edge is what turns five scripts into a system the operator on Haiku 4.5 brings up the repo and CI, the architect on Opus 5 lays down the data model and migrations two builders on Sonnet 5 run API and UI in parallel, and the reviewer on Opus 5.5 can keep finished code out of prod the evals were sitting in the file before the first line of code existed at minute zero there was not a single file, by the end it is a working product with payments and tests five agents cover in half an hour what a human team bills for a quarter JEV hands one line between layers instead of the whole history, so the next agent never re-reads the project and the run costs $3.70 instead of $370 the build takes 30 minutes, the first customers show up weeks later save this and paste it into Claude Code - let it assemble those 5 layers for you ↓

Sprytix

14,208 次观看 • 14 天前

ANTHROPIC LEAKED A $4.2M FILE WHERE 4 AGENTS BUILD THE JEV SYSTEM IN 60 MINUTES, DOING $100K A MONTH four agents cost $0, and the system they assemble in an hour generates $100K a month scout → builder → critic → operator → JEV every agent is pinned to one exact model version, and none of them runs on "latest" the scout on Haiku 4.5 reads the market, the builder on Sonnet 5 builds everything, the critic on Opus 5 decides what ships the operator runs Haiku through the batch API at half price - the one agent that never has to hurry the builder takes 59% of the whole hour, because it's the one writing, and writing costs 5x more than reading short answers are cheap answers - and the whole economics rests on that one rule pin the versions in ROOT.md and next month JEV behaves exactly the same point it at "latest" and the model underneath updates quietly, no error, and the answers start to drift $100K a month is 334 customers at $299 four versions, one system - pin them and JEV stays JEV save this and paste it into Claude Code - let it build you these 4 agents ↓
1:28

ANTHROPIC LEAKED A $4.2M FILE WHERE 4 AGENTS BUILD THE JEV SYSTEM IN 60 MINUTES, DOING $100K A MONTH four agents cost $0, and the system they assemble in an hour generates $100K a month scout → builder → critic → operator → JEV every agent is pinned to one exact model version, and none of them runs on "latest" the scout on Haiku 4.5 reads the market, the builder on Sonnet 5 builds everything, the critic on Opus 5 decides what ships the operator runs Haiku through the batch API at half price - the one agent that never has to hurry the builder takes 59% of the whole hour, because it's the one writing, and writing costs 5x more than reading short answers are cheap answers - and the whole economics rests on that one rule pin the versions in ROOT.md and next month JEV behaves exactly the same point it at "latest" and the model underneath updates quietly, no error, and the answers start to drift $100K a month is 334 customers at $299 four versions, one system - pin them and JEV stays JEV save this and paste it into Claude Code - let it build you these 4 agents ↓

Sprytix

37,977 次观看 • 18 天前

OPUS 5.5 + DOTS + JEV closed 312 tickets in one week while 25 engineers closed 96... that org chart costs $343,750 a month in payroll the agent costs $2,055 a month in tokens, 167x less the code comes from Opus 5.5, the tests from Dots, and nothing reaches done without Jev's review only 410 of the team's 1,000 weekly hours are writing code, and that 41% is what the agent takes the other 590 are meetings, review, on-call, customers and deciding on the other side is a business billing $120,198 a month, 402 people paying $299 after fees, hosting, the agent and 3 humans, $66,887 is left before tax and $120,198 pays for 8.7 engineers at most, so that business never had 25 to replace ↓
1:11

OPUS 5.5 + DOTS + JEV closed 312 tickets in one week while 25 engineers closed 96... that org chart costs $343,750 a month in payroll the agent costs $2,055 a month in tokens, 167x less the code comes from Opus 5.5, the tests from Dots, and nothing reaches done without Jev's review only 410 of the team's 1,000 weekly hours are writing code, and that 41% is what the agent takes the other 590 are meetings, review, on-call, customers and deciding on the other side is a business billing $120,198 a month, 402 people paying $299 after fees, hosting, the agent and 3 humans, $66,887 is left before tax and $120,198 pays for 8.7 engineers at most, so that business never had 25 to replace ↓

Sprytix

18,764 次观看 • 6 天前

ANTHROPIC LEAKED A FILE WHERE 3 AGENTS BUILD AN LLM SYSTEM IN 60 MINUTES THAT PEOPLE ALREADY BUY FOR $100,800 the hour costs $0.01, and at the end of it Claude Code hands you a system worth more than $100K docs → chunks → index → retrieval → answer → eval the architect on Opus 5.5 writes the schema and the eval rubric before a single line of code exists the builder on Sonnet 5 writes the pipeline, the API and the tests before you've even opened your editor the evaluator on Haiku 4.5 runs 120 questions through the batch API at half price 2,400 files turn into a system that answers with its sources, and it's live before the hour is out one answer comes back faster than you can finish reading the question the model eats 91% of that time and retrieval eats almost none - yet retrieval is what everyone optimises the first run failed the gate, the second one passed after fixes - and the bar was set before the run started a gate written after the run isn't a gate, it's a number fitted to the result the same scope is quoted as two engineers for six weeks the hour builds the half that's fun to build your data, your load, your compliance and someone answering the phone are the other half of that $100,800 save this and paste it into Claude Code - let it build you this system ↓
1:19

ANTHROPIC LEAKED A FILE WHERE 3 AGENTS BUILD AN LLM SYSTEM IN 60 MINUTES THAT PEOPLE ALREADY BUY FOR $100,800 the hour costs $0.01, and at the end of it Claude Code hands you a system worth more than $100K docs → chunks → index → retrieval → answer → eval the architect on Opus 5.5 writes the schema and the eval rubric before a single line of code exists the builder on Sonnet 5 writes the pipeline, the API and the tests before you've even opened your editor the evaluator on Haiku 4.5 runs 120 questions through the batch API at half price 2,400 files turn into a system that answers with its sources, and it's live before the hour is out one answer comes back faster than you can finish reading the question the model eats 91% of that time and retrieval eats almost none - yet retrieval is what everyone optimises the first run failed the gate, the second one passed after fixes - and the bar was set before the run started a gate written after the run isn't a gate, it's a number fitted to the result the same scope is quoted as two engineers for six weeks the hour builds the half that's fun to build your data, your load, your compliance and someone answering the phone are the other half of that $100,800 save this and paste it into Claude Code - let it build you this system ↓

Sprytix

19,923 次观看 • 15 天前

ANTHROPIC LEAKED A FILE THEIR LEAD ENGINEER SPENT 4 YEARS BUILDING AT A COST OF $3.2M - ONE SUPER AGENT WITH JEV HOLDS A BUSINESS DOING $2.4M A YEAR the agent costs $0, and in month one it's already pulling $100K+ read → decide → build → ship → watch → back to reading 24 cycles a day, and each one starts exactly where the last one stopped it doesn't sleep, doesn't forget and never asks what to do next in one night it runs more cycles than a team closes in a quarter JEV holds the context, the budget and the stop condition between hours - without it every cycle would start from zero it picks one change an hour, not twenty - which is exactly why nothing breaks if things get worse it rolls back on its own, no meeting and no explanation the price of the loop doesn't grow with the revenue: it's the same at $0 and at $200,000 a month $2.4M a year is 669 customers, and that's only true while all 669 keep paying every month one agent is one point of failure: the night the loop stopped, nobody noticed until morning it ships the changes, it doesn't find the customers - that part is still yours save this and paste it into Claude Code - let it build you this loop ↓
0:59

ANTHROPIC LEAKED A FILE THEIR LEAD ENGINEER SPENT 4 YEARS BUILDING AT A COST OF $3.2M - ONE SUPER AGENT WITH JEV HOLDS A BUSINESS DOING $2.4M A YEAR the agent costs $0, and in month one it's already pulling $100K+ read → decide → build → ship → watch → back to reading 24 cycles a day, and each one starts exactly where the last one stopped it doesn't sleep, doesn't forget and never asks what to do next in one night it runs more cycles than a team closes in a quarter JEV holds the context, the budget and the stop condition between hours - without it every cycle would start from zero it picks one change an hour, not twenty - which is exactly why nothing breaks if things get worse it rolls back on its own, no meeting and no explanation the price of the loop doesn't grow with the revenue: it's the same at $0 and at $200,000 a month $2.4M a year is 669 customers, and that's only true while all 669 keep paying every month one agent is one point of failure: the night the loop stopped, nobody noticed until morning it ships the changes, it doesn't find the customers - that part is still yours save this and paste it into Claude Code - let it build you this loop ↓

Sprytix

10,347 次观看 • 16 天前

Ken Griffin built Citadel into $67B fund and hires PhDs out of Stanford and MIT. He watched agentic AI do their month work in an afternoon and admitted it sent him home depressed. The interesting bit is what he was describing. A six-part research loop. Find, code, test, deploy, autopsy, learn. Five of those six are done. Free. Available tonight. Prompt to backtested strategy in 12 seconds. Prompt to live broker in 90. The Greenwich quant doing that same work costs $650,000 a year and clears one hypothesis a month. The sixth exists nowhere. Not at Citadel, not at Man Group, not in any repo. It's the part where the machine remembers what already failed. Every losing test dies in a log file. The next agent starts blind. Negative results are the most valuable data in quant research and literally nobody stores them. This loop broken down in my article below. Read it before someone builds the last one and stops explaining how.
0:51

Ken Griffin built Citadel into $67B fund and hires PhDs out of Stanford and MIT. He watched agentic AI do their month work in an afternoon and admitted it sent him home depressed. The interesting bit is what he was describing. A six-part research loop. Find, code, test, deploy, autopsy, learn. Five of those six are done. Free. Available tonight. Prompt to backtested strategy in 12 seconds. Prompt to live broker in 90. The Greenwich quant doing that same work costs $650,000 a year and clears one hypothesis a month. The sixth exists nowhere. Not at Citadel, not at Man Group, not in any repo. It's the part where the machine remembers what already failed. Every losing test dies in a log file. The next agent starts blind. Negative results are the most valuable data in quant research and literally nobody stores them. This loop broken down in my article below. Read it before someone builds the last one and stops explaining how.

cvxv666

131,448 次观看 • 2 个月前

THAT'S F**KING CRAZY, MY GROK BOT CONTENT DESK COSTS ME $20 A MONTH. I GOT QUOTED OVER $15,000 FOR THE HUMAN VERSION. I actually priced it out before I built it. Researcher, writer, designer, analyst, scheduler, editor – six roles, market rates, five figures a month before anyone ships a single post. Freelance instead of full-time? Cheaper, and then you own six calendars and six inboxes. → Seven agents replaced that line item. Here's the part that actually explains why. One narrow job each. A model asked to be six people is mediocre at six things. Asked to be one, it's one. Six worse prompts beat one perfect one. A fixed handoff order. The bottleneck was never ideas – it was the six hand-offs between having one and shipping it. Every hand-off is where a human team loses a day. Here it's a function call. A seventh agent that only routes. Six agents without a chief of staff is a group chat. With one, it's a desk. Nobody sleeps. Six people go home at six. The chain doesn't. Same week of work, compressed into an evening. Zero code. Seven prompts. Ten minutes to stand up. I still approve everything before it publishes – that gate I kept on purpose. And this hasn't been measured against months of results yet. When it is, the misses get written up too. I wrote it all down so you don't have to guess at the prompts. Seven agents, one article ↓
0:30

THAT'S F**KING CRAZY, MY GROK BOT CONTENT DESK COSTS ME $20 A MONTH. I GOT QUOTED OVER $15,000 FOR THE HUMAN VERSION. I actually priced it out before I built it. Researcher, writer, designer, analyst, scheduler, editor – six roles, market rates, five figures a month before anyone ships a single post. Freelance instead of full-time? Cheaper, and then you own six calendars and six inboxes. → Seven agents replaced that line item. Here's the part that actually explains why. One narrow job each. A model asked to be six people is mediocre at six things. Asked to be one, it's one. Six worse prompts beat one perfect one. A fixed handoff order. The bottleneck was never ideas – it was the six hand-offs between having one and shipping it. Every hand-off is where a human team loses a day. Here it's a function call. A seventh agent that only routes. Six agents without a chief of staff is a group chat. With one, it's a desk. Nobody sleeps. Six people go home at six. The chain doesn't. Same week of work, compressed into an evening. Zero code. Seven prompts. Ten minutes to stand up. I still approve everything before it publishes – that gate I kept on purpose. And this hasn't been measured against months of results yet. When it is, the misses get written up too. I wrote it all down so you don't have to guess at the prompts. Seven agents, one article ↓

SCOTTY BEAM

19,221 次观看 • 29 天前

Do you understand what just got open sourced? 5,800+ quant trading strategies for FREE along with its CODEBASE i gave these trading strategies to opus 5.5 + jev and it built me a PROFITABLE 24/7 trading agent here is how to use the repo and build AI trading bot: 1. clone the vault and get 5,806 trading strategies (spot, perps, grid, stat arb and market making) 2. open any strategy file, the math, the parameters and the source are already inside 3. point AgenKit at that file inside Claude Code with model as opus 5.5, one command and it reads the spec as ground truth 4. it will run a full engineering team and ships a production bot with risk controls 5. Jev is the live brain, it answers buy sell or hold in 81 milliseconds, calibrated, no hallucination 6. your engine sizes the trade from that confidence and fires it before the next block 7. a hard risk layer holds every limit, nothing goes live until you approve it 8. every night Opus 5.5 reviews the fills and ships a better version, so the agent improves while you sleep one model THINKS, the other REACTS and a strategy that sat locked in a vault now trades itself 24/7 the COMPLETE codebase and the EXACT Opus 5.5 + Jev trading system which I am running is in the article below:
0:39

Do you understand what just got open sourced? 5,800+ quant trading strategies for FREE along with its CODEBASE i gave these trading strategies to opus 5.5 + jev and it built me a PROFITABLE 24/7 trading agent here is how to use the repo and build AI trading bot: 1. clone the vault and get 5,806 trading strategies (spot, perps, grid, stat arb and market making) 2. open any strategy file, the math, the parameters and the source are already inside 3. point AgenKit at that file inside Claude Code with model as opus 5.5, one command and it reads the spec as ground truth 4. it will run a full engineering team and ships a production bot with risk controls 5. Jev is the live brain, it answers buy sell or hold in 81 milliseconds, calibrated, no hallucination 6. your engine sizes the trade from that confidence and fires it before the next block 7. a hard risk layer holds every limit, nothing goes live until you approve it 8. every night Opus 5.5 reviews the fills and ships a better version, so the agent improves while you sleep one model THINKS, the other REACTS and a strategy that sat locked in a vault now trades itself 24/7 the COMPLETE codebase and the EXACT Opus 5.5 + Jev trading system which I am running is in the article below:

Roan

95,925 次观看 • 12 天前

OPUS 5.5 + SONNET 5.5 + JEV + OPENAI DOTS: one spider pulled 40 AI engineers out of them and put a business on autopilot 40 seats, 4 teams of 10, and every seat is filled by a model a human team of 40 covers 1,600 hours a week. these seats stay on for all 168, which is 6,720 hours, 4.2x more from the same headcount at $13,750 a seat, 40 human engineers cost $550,000 a month in payroll before anyone writes a line of code the web under them has 16 threads: sales, leads, ads, CRM, support, billing, finance, legal, hiring and 7 more a task lands on any thread, and 10 routing engineers on Jev decide which agent gets it 10 planners on Opus 5.5 keep the roadmap and review the work in plan.md, while 10 builders on Sonnet 5.5 ship code every day from build py 10 more on OpenAI Dots run ops and never switch off, 24/7 the counter stops at 40 of 40, the status flips to live, and autopilot turns on ↓
0:42

OPUS 5.5 + SONNET 5.5 + JEV + OPENAI DOTS: one spider pulled 40 AI engineers out of them and put a business on autopilot 40 seats, 4 teams of 10, and every seat is filled by a model a human team of 40 covers 1,600 hours a week. these seats stay on for all 168, which is 6,720 hours, 4.2x more from the same headcount at $13,750 a seat, 40 human engineers cost $550,000 a month in payroll before anyone writes a line of code the web under them has 16 threads: sales, leads, ads, CRM, support, billing, finance, legal, hiring and 7 more a task lands on any thread, and 10 routing engineers on Jev decide which agent gets it 10 planners on Opus 5.5 keep the roadmap and review the work in plan.md, while 10 builders on Sonnet 5.5 ship code every day from build py 10 more on OpenAI Dots run ops and never switch off, 24/7 the counter stops at 40 of 40, the status flips to live, and autopilot turns on ↓

Noisy

14,894 次观看 • 5 天前

ANTHROPIC LEAKED A $4.3M DOCUMENT WHERE 5 MODELS AT $2.50 A DAY REPLACE A $40,000-A-YEAR AGENCY one stack costs $912 a year and takes the same work off the table - that is 44× cheaper signal → triage → draft → gate → ship → measure → back to root cheap models sit at the bottom and get called constantly, the expensive one sits on top and gets called least Grok 4.1 Fast at $0.20 chews through 2 million tokens of grunt work Sonnet 5 writes the volume, Haiku 4.5 does the classification, and neither of them decides anything Opus 5 costs 25× the bottom layer and runs the fewest times of all - it only closes the gate one full turn of the loop takes 8 seconds all six blocks read one ROOT.md and none of them asks what to do next measure writes back into the signal, and without that edge these are six scripts, not a loop the same stack collapses four years of lookup, first drafts and waiting for a student but it sells neither of them the one thing that matters - knowing when the answer is wrong one saves money, the other saves years, and neither buys judgement save this and paste it into Grok - let it write out all six blocks for you ↓
1:55

ANTHROPIC LEAKED A $4.3M DOCUMENT WHERE 5 MODELS AT $2.50 A DAY REPLACE A $40,000-A-YEAR AGENCY one stack costs $912 a year and takes the same work off the table - that is 44× cheaper signal → triage → draft → gate → ship → measure → back to root cheap models sit at the bottom and get called constantly, the expensive one sits on top and gets called least Grok 4.1 Fast at $0.20 chews through 2 million tokens of grunt work Sonnet 5 writes the volume, Haiku 4.5 does the classification, and neither of them decides anything Opus 5 costs 25× the bottom layer and runs the fewest times of all - it only closes the gate one full turn of the loop takes 8 seconds all six blocks read one ROOT.md and none of them asks what to do next measure writes back into the signal, and without that edge these are six scripts, not a loop the same stack collapses four years of lookup, first drafts and waiting for a student but it sells neither of them the one thing that matters - knowing when the answer is wrong one saves money, the other saves years, and neither buys judgement save this and paste it into Grok - let it write out all six blocks for you ↓

Sprytix

23,168 次观看 • 1 个月前

ANTHROPIC LEAKED A $4.8M FILE WHERE 5 AGENTS BUILD A BUSINESS AIMED AT $120K A MONTH IN 60 MINUTES five agents running at zero hold a business doing $120,000 a month scout → architect → 2 builders → critic → operator all five read one ROOT.md, and you write it exactly once 96 agent-minutes of work fit inside 60 real ones the architect starts before the scout has finished the critic starts before the builders are done none of them got faster - they just stopped standing in a queue and that alone is 1.6x for free there is no human between them, so there is no pause anywhere $120K a month is 400 customers at $299 or 24 clients at $5,000 - arithmetic, not a forecast the hour builds the machine, the offer written in ROOT.md decides the number save this and paste it into Claude Code - let it build you these 5 agents ↓
1:12

ANTHROPIC LEAKED A $4.8M FILE WHERE 5 AGENTS BUILD A BUSINESS AIMED AT $120K A MONTH IN 60 MINUTES five agents running at zero hold a business doing $120,000 a month scout → architect → 2 builders → critic → operator all five read one ROOT.md, and you write it exactly once 96 agent-minutes of work fit inside 60 real ones the architect starts before the scout has finished the critic starts before the builders are done none of them got faster - they just stopped standing in a queue and that alone is 1.6x for free there is no human between them, so there is no pause anywhere $120K a month is 400 customers at $299 or 24 clients at $5,000 - arithmetic, not a forecast the hour builds the machine, the offer written in ROOT.md decides the number save this and paste it into Claude Code - let it build you these 5 agents ↓

Sprytix

50,437 次观看 • 26 天前

one agent → a loop → a graph → a system that throttles itself Google just put the whole ladder in one free course. most people never leave the first rung. 2 hours 4 minutes, taught by two Google Cloud engineers. no signup, no paywall. 17:55 - build your first agent 39:55 - loop engineering: iterate, check, break 1:13:25 - graph engineering 1:35:27 - agents that throttle themselves 1:56:19 - the full graph for multi-agent systems the fourth one is the step nobody talks about. an agent that cannot throttle itself is not autonomous, it is just unattended. everyone builds one agent and calls it done. this is the version where the agents wire themselves into a graph and decide their own rate. and the thing that decides when one of them is allowed to stop is not in the course. that part you build yourself. bookmark and watch it today, then read the eval setup below
2:04:19

one agent → a loop → a graph → a system that throttles itself Google just put the whole ladder in one free course. most people never leave the first rung. 2 hours 4 minutes, taught by two Google Cloud engineers. no signup, no paywall. 17:55 - build your first agent 39:55 - loop engineering: iterate, check, break 1:13:25 - graph engineering 1:35:27 - agents that throttle themselves 1:56:19 - the full graph for multi-agent systems the fourth one is the step nobody talks about. an agent that cannot throttle itself is not autonomous, it is just unattended. everyone builds one agent and calls it done. this is the version where the agents wire themselves into a graph and decide their own rate. and the thing that decides when one of them is allowed to stop is not in the course. that part you build yourself. bookmark and watch it today, then read the eval setup below

Hanako

53,692 次观看 • 2 个月前

ANTHROPIC LEAKED A FILE WHERE 42 WORDS OF ONE PROMPT TURN INTO A COMPANY DOING $100K A MONTH you write one message for $0.13 and 42 minutes later you have a whole AI company with 20 workers prompt → plan → build → launch Opus 5.5 breaks those 42 words into 6 decisions, 6 workers on Sonnet 5 build 8 artifacts, Haiku 4.5 through the batch API pulls out 5 launch channels Jev fans one message into 19 pieces and holds the budget, which is the only reason a single message is safe to run those same 42 words carry the price, the audience, the shape of the offer, a $40 spend cap and a stop after 3 failures all 19 artifacts inherit those six lines, so nobody stops mid-run to ask you what to do next by hand this same volume is 56 messages across three days, here it is one message and a wait the work is identical, what changed is how many times you had to describe it 1.47M tokens per run and on the way out you get the repo, the schema, the API, the app, the checkout, the emails, the docs and the tests then come six months: 38 customers, 82, 139, 201, and only in month six 335 at $299 and the brutal part of this file is that if the price in the prompt was wrong, 13 of the 19 artifacts get rebuilt one prompt is fast to run and expensive to be wrong in save this and paste it into Claude Code - let it fan your 42 words into 19 artifacts ↓
1:08

ANTHROPIC LEAKED A FILE WHERE 42 WORDS OF ONE PROMPT TURN INTO A COMPANY DOING $100K A MONTH you write one message for $0.13 and 42 minutes later you have a whole AI company with 20 workers prompt → plan → build → launch Opus 5.5 breaks those 42 words into 6 decisions, 6 workers on Sonnet 5 build 8 artifacts, Haiku 4.5 through the batch API pulls out 5 launch channels Jev fans one message into 19 pieces and holds the budget, which is the only reason a single message is safe to run those same 42 words carry the price, the audience, the shape of the offer, a $40 spend cap and a stop after 3 failures all 19 artifacts inherit those six lines, so nobody stops mid-run to ask you what to do next by hand this same volume is 56 messages across three days, here it is one message and a wait the work is identical, what changed is how many times you had to describe it 1.47M tokens per run and on the way out you get the repo, the schema, the API, the app, the checkout, the emails, the docs and the tests then come six months: 38 customers, 82, 139, 201, and only in month six 335 at $299 and the brutal part of this file is that if the price in the prompt was wrong, 13 of the 19 artifacts get rebuilt one prompt is fast to run and expensive to be wrong in save this and paste it into Claude Code - let it fan your 42 words into 19 artifacts ↓

Sprytix

23,613 次观看 • 12 天前

I turned Grok Bot into one giant AI brain and gave it life and death over every agent under it. Its only incentive: make money or die. 290% overnight. The thing really did not want to be switched off. $1,000 went in. $3,900 came out. 15 hours, and I slept through most of it. One of the agents it hired is not allowed to trade at all. That one is the reason the rest are still alive. Every prompt and the whole build is in the post below ↓ Save it. The wiring is the whole trick, and it reads in four minutes.
0:51

I turned Grok Bot into one giant AI brain and gave it life and death over every agent under it. Its only incentive: make money or die. 290% overnight. The thing really did not want to be switched off. $1,000 went in. $3,900 came out. 15 hours, and I slept through most of it. One of the agents it hired is not allowed to trade at all. That one is the reason the rest are still alive. Every prompt and the whole build is in the post below ↓ Save it. The wiring is the whole trick, and it reads in four minutes.

cvxv666

20,970 次观看 • 1 个月前

MIT Researchers Built An AI Hedge Fund & released it 100% FREE this gives you full trading firm of AI agents, analysts, a bull vs bear debate, a trader and a risk manager that approves every trade i cloned it and plugged in Opus 5.5 as the brain and Jev as the fast decision layer (INSANE RESULTS) here is how to USE this repo: 1. clone the repo and install it, one command with pip or uv, it runs on your laptop in a few minutes 2. drop in your Anthropic key and set Opus 5.5 as the deep think model, so the whole agent firm reasons on the best brain available 3. launch the CLI, pick any ticker and a date, it works on every market Yahoo covers, US stocks, crypto and more 4. the fundamentals agent digs through the financials and the news agent reads every headline and macro event that could move the price 5. the sentiment agent reads the crowd on Reddit, StockTwits while the technical agent reads the charts, RSI, MACD, the patterns 6. every agent writes a clean structured report instead of loose chat, which is the trick that stops the signal getting distorted as it passes along 7. then a bull agent and a bear agent debate the trade over multiple rounds, and a facilitator reads the whole debate and picks the winning case 8. the trader agent turns that into an actual call, then the risk team and portfolio manager approve or reject it before anything fires, same as a real desk 9. backtest the full pipeline across a grid of tickers and dates, it scores every decision on real alpha against the benchmark and logs what worked so it gets sharper each run 10. the agent debate takes minutes, so wire Jev in as the fast layer - it'll makes the final live call in just milliseconds > this turns this research firm into a real self-improving 24/7 AI trading agent the full build of AI trading bot that makes it trade live is in my article below:
0:46

MIT Researchers Built An AI Hedge Fund & released it 100% FREE this gives you full trading firm of AI agents, analysts, a bull vs bear debate, a trader and a risk manager that approves every trade i cloned it and plugged in Opus 5.5 as the brain and Jev as the fast decision layer (INSANE RESULTS) here is how to USE this repo: 1. clone the repo and install it, one command with pip or uv, it runs on your laptop in a few minutes 2. drop in your Anthropic key and set Opus 5.5 as the deep think model, so the whole agent firm reasons on the best brain available 3. launch the CLI, pick any ticker and a date, it works on every market Yahoo covers, US stocks, crypto and more 4. the fundamentals agent digs through the financials and the news agent reads every headline and macro event that could move the price 5. the sentiment agent reads the crowd on Reddit, StockTwits while the technical agent reads the charts, RSI, MACD, the patterns 6. every agent writes a clean structured report instead of loose chat, which is the trick that stops the signal getting distorted as it passes along 7. then a bull agent and a bear agent debate the trade over multiple rounds, and a facilitator reads the whole debate and picks the winning case 8. the trader agent turns that into an actual call, then the risk team and portfolio manager approve or reject it before anything fires, same as a real desk 9. backtest the full pipeline across a grid of tickers and dates, it scores every decision on real alpha against the benchmark and logs what worked so it gets sharper each run 10. the agent debate takes minutes, so wire Jev in as the fast layer - it'll makes the final live call in just milliseconds > this turns this research firm into a real self-improving 24/7 AI trading agent the full build of AI trading bot that makes it trade live is in my article below:

Roan

18,373 次观看 • 6 天前

ANTHROPIC LEAKED A FILE THAT TURNS AN EMPTY FOLDER INTO A PRODUCT WITH A PRICE IN 60 MINUTES AND AIMS AT $100,000 A MONTH in one hour you get a product with a price on it - a startup burns a quarter and $80,000 for that same hour problem → shape → surface → price → machine → back to the problem you write only the first 12 minutes: who hurts, and what it costs them right now Opus 5 gives it a shape and then a price, three Sonnet 5 build three versions of the page Haiku 4.5 stands up the machine: delivery, the queue and the weekly numbers $100,000 a month is 1,000 customers at $100, or 10 at $10,000 same number, four completely different businesses which of those four rows you're standing on gets decided in minutes 36-48, not a year from now at minute sixty you have a product, a price and a machine - and 0 customers the hour compresses the first clock to nothing, it never touches the second one the hour makes the product, it does not make the demand save this and paste it into Claude Code - let it build you these 5 blocks ↓
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ANTHROPIC LEAKED A FILE THAT TURNS AN EMPTY FOLDER INTO A PRODUCT WITH A PRICE IN 60 MINUTES AND AIMS AT $100,000 A MONTH in one hour you get a product with a price on it - a startup burns a quarter and $80,000 for that same hour problem → shape → surface → price → machine → back to the problem you write only the first 12 minutes: who hurts, and what it costs them right now Opus 5 gives it a shape and then a price, three Sonnet 5 build three versions of the page Haiku 4.5 stands up the machine: delivery, the queue and the weekly numbers $100,000 a month is 1,000 customers at $100, or 10 at $10,000 same number, four completely different businesses which of those four rows you're standing on gets decided in minutes 36-48, not a year from now at minute sixty you have a product, a price and a machine - and 0 customers the hour compresses the first clock to nothing, it never touches the second one the hour makes the product, it does not make the demand save this and paste it into Claude Code - let it build you these 5 blocks ↓

Noisy

14,595 次观看 • 1 个月前

GPT6-Astra turned $500 into $5,110 on my trading account last night. Six AI agents, 0.4 seconds a round, and I was asleep for all of it. 255 setups came up. 1,151 configs died. One trade reached my money. The agent holding the veto killed 4 of the last 5. I don't get a vote either. You have the same model open in a tab right now. You're using it to ask whether the market looks bullish. Six seats, one evening, and the whole roster fits in six prompts. The names and the rules they run on are in the post below ↓
0:43

GPT6-Astra turned $500 into $5,110 on my trading account last night. Six AI agents, 0.4 seconds a round, and I was asleep for all of it. 255 setups came up. 1,151 configs died. One trade reached my money. The agent holding the veto killed 4 of the last 5. I don't get a vote either. You have the same model open in a tab right now. You're using it to ask whether the market looks bullish. Six seats, one evening, and the whole roster fits in six prompts. The names and the rules they run on are in the post below ↓

cvxv666

269,593 次观看 • 29 天前

The new Fable 5.1 built three games and did it 7% cheaper! We gave the same prompts through Atomic Agent: ✦ Sticky ball that rolls up everything in its path ✦ Capybara surfing down a river, Subway Surfers style ✦ Dumpling running an endless conveyor dodge Outputs: ✦ Claude Fable 5, via Atomic Agent: $7.65 ✦ Claude Fable 5.1, via Atomic Agent: $7.08 Run it through an agent and that cache discount is where the money hides. The loop reads the file, watches it break, and pulls the whole context back in to fix it, over and over. Every one of those re-reads costs a quarter on 5.1 of what it cost on 5. Same games on screen, and the newer version just spends less to get there. Across three builds the loop paid for the upgrade on its own.
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The new Fable 5.1 built three games and did it 7% cheaper! We gave the same prompts through Atomic Agent: ✦ Sticky ball that rolls up everything in its path ✦ Capybara surfing down a river, Subway Surfers style ✦ Dumpling running an endless conveyor dodge Outputs: ✦ Claude Fable 5, via Atomic Agent: $7.65 ✦ Claude Fable 5.1, via Atomic Agent: $7.08 Run it through an agent and that cache discount is where the money hides. The loop reads the file, watches it break, and pulls the whole context back in to fix it, over and over. Every one of those re-reads costs a quarter on 5.1 of what it cost on 5. Same games on screen, and the newer version just spends less to get there. Across three builds the loop paid for the upgrade on its own.

Atomic Agent

20,255 次观看 • 1 个月前