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@paonx_eth • 3,662 subscribers

decoding the edges they don't want you to see

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A 20-YEAR-OLD MIT STUDENT HACKED HIS OWN BRAIN TO FOCUS. THE FIX IS STARING AT A WALL FOR 10 MINUTES it starts the way your day probably starts: him on the couch, phone in hand, brain refusing to turn on then he does something that looks insane: he sits and stares at a blank wall. no phone. no music. for ten straight minutes here's the part most people miss: your brain isn't lazy. it's overloaded. every notification, every tab, every scroll is another input fighting for space - and boredom is the only thing that clears the queue staring at a wall feels unbearable for about 3 minutes. then something flips. the noise drains out. and for the first time all day your mind goes quiet enough to actually think then he goes from frozen on the couch to locked in at his laptop, moving through work he'd been avoiding for hours no app. no productivity system with 40 steps just 10 minutes of doing absolutely nothing - the one thing nobody can sit still long enough to try save this for the next time you can't start. staring at a wall might be the most productive thing you do all week

A 20-YEAR-OLD MIT STUDENT HACKED HIS OWN BRAIN TO FOCUS. THE FIX IS STARING AT A WALL FOR 10 MINUTES it starts the way your day probably starts: him on the couch, phone in hand, brain refusing to turn on then he does something that looks insane: he sits and stares at a blank wall. no phone. no music. for ten straight minutes here's the part most people miss: your brain isn't lazy. it's overloaded. every notification, every tab, every scroll is another input fighting for space - and boredom is the only thing that clears the queue staring at a wall feels unbearable for about 3 minutes. then something flips. the noise drains out. and for the first time all day your mind goes quiet enough to actually think then he goes from frozen on the couch to locked in at his laptop, moving through work he'd been avoiding for hours no app. no productivity system with 40 steps just 10 minutes of doing absolutely nothing - the one thing nobody can sit still long enough to try save this for the next time you can't start. staring at a wall might be the most productive thing you do all week

180,913 просмотров

This guy transforms into top OnlyFans models with one click 6.4M views in 3 weeks. nobody can tell which face is real the workflow: -> Pinterest → 2 contrasting faces -> Nano Banana Pro → merge into one AI face -> Kling → transfer movement from a real reference video -> CapCut → remove the AI plastic look 30 minutes from zero to a viral AI girl the article below breaks down the exact prompts and settings 👇

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This guy transforms into top OnlyFans models with one click 6.4M views in 3 weeks. nobody can tell which face is real the workflow: -> Pinterest → 2 contrasting faces -> Nano Banana Pro → merge into one AI face -> Kling → transfer movement from a real reference video -> CapCut → remove the AI plastic look 30 minutes from zero to a viral AI girl the article below breaks down the exact prompts and settings 👇

225,949 просмотров

A 19-YEAR-OLD BET $1,000 THAT TRUMP WOULD SAY TWO WORDS ON LIVE TV. IT PAID $95,000 not a stock. not a coin. one prediction: that Trump would say "fake news" during a single speech he found the market on his laptop, put in $1,000 on YES, and the screen told him it could pay out $95k if he was right then comes the part that makes the whole clip: he can't sit still. he's pacing outside, visibly nervous. then he's glued to the livestream, staring at Trump like his life depends on it Trump opens his mouth. says "fake news" the kid jumps out of his chair here's the part most people miss: he wasn't gambling. he was pricing something everyone else treated as a joke "Trump says fake news" sounds random - but if you've watched him speak, it's about as certain as the sun rising the market priced it like a coinflip. he saw a lock that's the whole edge on Polymarket: find what the crowd underprices because it sounds silly, and trade it like the sure thing it actually is the wallet running plays like this is up $693,011 - $23,273 in the last week alone: save this. the biggest edges hide inside the bets everyone else laughs at

A 19-YEAR-OLD BET $1,000 THAT TRUMP WOULD SAY TWO WORDS ON LIVE TV. IT PAID $95,000 not a stock. not a coin. one prediction: that Trump would say "fake news" during a single speech he found the market on his laptop, put in $1,000 on YES, and the screen told him it could pay out $95k if he was right then comes the part that makes the whole clip: he can't sit still. he's pacing outside, visibly nervous. then he's glued to the livestream, staring at Trump like his life depends on it Trump opens his mouth. says "fake news" the kid jumps out of his chair here's the part most people miss: he wasn't gambling. he was pricing something everyone else treated as a joke "Trump says fake news" sounds random - but if you've watched him speak, it's about as certain as the sun rising the market priced it like a coinflip. he saw a lock that's the whole edge on Polymarket: find what the crowd underprices because it sounds silly, and trade it like the sure thing it actually is the wallet running plays like this is up $693,011 - $23,273 in the last week alone: save this. the biggest edges hide inside the bets everyone else laughs at

75,047 просмотров

this quant made $1,293,914 trading Bitcoin up-or-down using a system reverse-engineered from Jane Street's own playbook remember my last post on the Jane Street quant whose code makes the fund $75,000 a minute? this guy rebuilt that logic for himself his profile: here's the part most people miss: he's not guessing the next candle the system runs Bitcoin forward through thousands of scenarios at once and only fires when the math says the trade has an edge the exact same principle Jane Street runs at scale: tiny edge, repeated thousands of times, until it becomes profit that's the whole game on wall street. he just pointed it at a market anyone can access the catch: right now it's mostly individual wallets running this. the funds haven't moved in yet that window is what makes it work. once the crowd catches up, the edge thins out you can build your own from the lecture. or skip the homework and mirror his entries here:

this quant made $1,293,914 trading Bitcoin up-or-down using a system reverse-engineered from Jane Street's own playbook remember my last post on the Jane Street quant whose code makes the fund $75,000 a minute? this guy rebuilt that logic for himself his profile: here's the part most people miss: he's not guessing the next candle the system runs Bitcoin forward through thousands of scenarios at once and only fires when the math says the trade has an edge the exact same principle Jane Street runs at scale: tiny edge, repeated thousands of times, until it becomes profit that's the whole game on wall street. he just pointed it at a market anyone can access the catch: right now it's mostly individual wallets running this. the funds haven't moved in yet that window is what makes it work. once the crowd catches up, the edge thins out you can build your own from the lecture. or skip the homework and mirror his entries here:

54,163 просмотров

This quant bot turned $2.5K into $861,000 on Polymarket using pure math his profile: How he does it: -> only trades binary markets (BTC Up/Down, NBA spreads, esports) -> buys NO at 5-65c when implied probability is mispriced -> 29,443 predictions, biggest single win: $35,500 on a Bitcoin market -> wins ~95c on the dollar, thousands of times -> doesn't predict outcomes, prices the gap between actual and implied probability The part most people miss: his edge isn't picking winners it's stacking 5-10 mispriced contracts at the same time across correlated markets when his model is right, multiple bets pay simultaneously The new way to copy traders like him: a parlay bot that combines all his correlated Polymarket bets into one ticket -> multiplied payout when several resolve right link: Always dyor

This quant bot turned $2.5K into $861,000 on Polymarket using pure math his profile: How he does it: -> only trades binary markets (BTC Up/Down, NBA spreads, esports) -> buys NO at 5-65c when implied probability is mispriced -> 29,443 predictions, biggest single win: $35,500 on a Bitcoin market -> wins ~95c on the dollar, thousands of times -> doesn't predict outcomes, prices the gap between actual and implied probability The part most people miss: his edge isn't picking winners it's stacking 5-10 mispriced contracts at the same time across correlated markets when his model is right, multiple bets pay simultaneously The new way to copy traders like him: a parlay bot that combines all his correlated Polymarket bets into one ticket -> multiplied payout when several resolve right link: Always dyor

30,970 просмотров

Russian engineering student built a device that made him $15,400 in a month on Polymarket components cost him $10 ESP32 + OLED + 6 buttons each button -> one whale he follows Claude analyzes every trade they make and only alerts him on the high-potential ones red LED + beep when a whale makes a move worth copying without Claude -> 1000+ alerts/day, pure noise with Claude -> 5-10 alerts/day, all actionable the edge isn't blindly following whales it's only entering the trades that are actually worth copying schematic + code below 👇

Russian engineering student built a device that made him $15,400 in a month on Polymarket components cost him $10 ESP32 + OLED + 6 buttons each button -> one whale he follows Claude analyzes every trade they make and only alerts him on the high-potential ones red LED + beep when a whale makes a move worth copying without Claude -> 1000+ alerts/day, pure noise with Claude -> 5-10 alerts/day, all actionable the edge isn't blindly following whales it's only entering the trades that are actually worth copying schematic + code below 👇

20,915 просмотров

This Japanese trader fed Claude 400M Polymarket trades and made $51,648 in 2 months His account is mocamoca He gave Claude one task: find an edge in prediction markets Claude analyzed 36GB of trades collected over 6 years and found one thing: "dead" contracts priced under 1¢ don't stay dead 6% of the time and 2.66% at 99x covers everything mocamoca's twist: enters at 3-15¢, exits at 87-93¢ same asymmetry, tighter execution from Feb 5 to today: - biggest win: $395 -> $2,906 - 1,658 trades account is public, check it yourself: I found 7 more wallets doing the same thing -> $550K combined reverse-engineered the strategy, built the bot full code inside the article

This Japanese trader fed Claude 400M Polymarket trades and made $51,648 in 2 months His account is mocamoca He gave Claude one task: find an edge in prediction markets Claude analyzed 36GB of trades collected over 6 years and found one thing: "dead" contracts priced under 1¢ don't stay dead 6% of the time and 2.66% at 99x covers everything mocamoca's twist: enters at 3-15¢, exits at 87-93¢ same asymmetry, tighter execution from Feb 5 to today: - biggest win: $395 -> $2,906 - 1,658 trades account is public, check it yourself: I found 7 more wallets doing the same thing -> $550K combined reverse-engineered the strategy, built the bot full code inside the article

16,240 просмотров

This trader turned $130 into $33,000 on Polymarket using a simple script it doesn't read news, check polls or predict anything just buys contracts under 1c that everyone thinks are dead wrong 94% of the time -> one hit = 99x, one win covers 98 losses His wins: $1,191 -> $11,990 $11 -> $2,587 $133 -> $1,791 The inefficiency: markets priced at 99c/1c pull back to 50c far more often than the price implies I found 8 wallets doing this -> $550K combined fed 400M trades into Claude, built the bot full code inside copy his trades with ARES: bookmark this before the code gets taken down

This trader turned $130 into $33,000 on Polymarket using a simple script it doesn't read news, check polls or predict anything just buys contracts under 1c that everyone thinks are dead wrong 94% of the time -> one hit = 99x, one win covers 98 losses His wins: $1,191 -> $11,990 $11 -> $2,587 $133 -> $1,791 The inefficiency: markets priced at 99c/1c pull back to 50c far more often than the price implies I found 8 wallets doing this -> $550K combined fed 400M trades into Claude, built the bot full code inside copy his trades with ARES: bookmark this before the code gets taken down

13,768 просмотров

This trader turned $25 into $12,400 on a single weather bet on Polymarket Made $45,000 in the last month alone -> and he only trades weather His profile: How he does it: -> only trades weather markets (temperature in NY, London, Seoul) -> buys NO at 94-98c when the forecast makes the bucket nearly impossible -> position sizes from $100 to $1,200, never bigger -> wins ~95c on the dollar, thousands of times -> doesn't predict weather, prices what the forecast already locked in The part most people miss: His edge isn't in being a meteorologist -> it's in noticing that the day before resolution, the market still trades at 94c instead of 99c That 5c gap, multiplied across hundreds of trades, is the entire game This is exactly the boring-but-profitable wallet pattern from the article above 👇 Copy him with me:

This trader turned $25 into $12,400 on a single weather bet on Polymarket Made $45,000 in the last month alone -> and he only trades weather His profile: How he does it: -> only trades weather markets (temperature in NY, London, Seoul) -> buys NO at 94-98c when the forecast makes the bucket nearly impossible -> position sizes from $100 to $1,200, never bigger -> wins ~95c on the dollar, thousands of times -> doesn't predict weather, prices what the forecast already locked in The part most people miss: His edge isn't in being a meteorologist -> it's in noticing that the day before resolution, the market still trades at 94c instead of 99c That 5c gap, multiplied across hundreds of trades, is the entire game This is exactly the boring-but-profitable wallet pattern from the article above 👇 Copy him with me:

11,474 просмотров

This trader turned $130 into $33,000 using a low-probability strategy on Polymarket He found a hidden inefficiency and built a simple but brutal strategy around it: buy contracts near zero (below 1¢) -> hold small positions -> one win covers 100 losses Examples of his wins: $1,191 -> $11,990 $11 -> $2,587 $133 -> $1,791 The inefficiency he's exploiting: Markets with 99c/1c odds too often show a pull back to 50c and to 20c/80c read the full breakdown in my article below 👇 you can also copy his trades even with a small bankroll using Merlin: Always dyor

This trader turned $130 into $33,000 using a low-probability strategy on Polymarket He found a hidden inefficiency and built a simple but brutal strategy around it: buy contracts near zero (below 1¢) -> hold small positions -> one win covers 100 losses Examples of his wins: $1,191 -> $11,990 $11 -> $2,587 $133 -> $1,791 The inefficiency he's exploiting: Markets with 99c/1c odds too often show a pull back to 50c and to 20c/80c read the full breakdown in my article below 👇 you can also copy his trades even with a small bankroll using Merlin: Always dyor

13,298 просмотров

Found a trader who turned $8 into $56,000 trading weather on Polymarket his strategy looks dumb until you see the math His profile: How he does it: -> only trades weather markets (temperature in London, Milan, Paris, Sao Paulo) -> waits until the day before resolution when the forecast is locked -> buys outcomes at 99c that resolve at $1 = +1c per trade -> 4,103 predictions, mostly micro-trades -> compounds tiny edges into 5 figures The part most people miss: his edge isn't predicting the weather -> it's noticing that on resolution day, the market still trades at 99c instead of $1 The math behind this is in the article below: the script from the article + free NASA data lets you run the same logic on any monthly weather, CPI or temperature market 👇 Copy him with me:

Found a trader who turned $8 into $56,000 trading weather on Polymarket his strategy looks dumb until you see the math His profile: How he does it: -> only trades weather markets (temperature in London, Milan, Paris, Sao Paulo) -> waits until the day before resolution when the forecast is locked -> buys outcomes at 99c that resolve at $1 = +1c per trade -> 4,103 predictions, mostly micro-trades -> compounds tiny edges into 5 figures The part most people miss: his edge isn't predicting the weather -> it's noticing that on resolution day, the market still trades at 99c instead of $1 The math behind this is in the article below: the script from the article + free NASA data lets you run the same logic on any monthly weather, CPI or temperature market 👇 Copy him with me:

10,650 просмотров

A bot made $669,264 in a month betting on Bitcoin Up or Down right now it's one of the most profitable bots on Polymarket It profits off panic buying/selling by crypto investors by basically acting as a market maker for the up/down markets Here's how its algorithm works: based on the last 10 trades it determines the fair value -> accumulates YES if the price is above fair value (otherwise accumulates NO) -> earns from the spread if you want alerts + copy trade his actions: Examples of its wins: - $60,941 on Bitcoin Up or Down - February 9, 9:00AM-9:15AM ET at 28 cents - $43,671 on Bitcoin Up or Down - January 19, 5AM ET at 36 cents - $38,793 on Bitcoin Up or Down - February 6, 3:30PM-3:45PM ET at 26 cents This bot is a clear proof that Bitcoin up or down markets are some of the best to trade, because they're simple and profitable In my recent article I also covered other best markets to trade on Polymarket 👇

A bot made $669,264 in a month betting on Bitcoin Up or Down right now it's one of the most profitable bots on Polymarket It profits off panic buying/selling by crypto investors by basically acting as a market maker for the up/down markets Here's how its algorithm works: based on the last 10 trades it determines the fair value -> accumulates YES if the price is above fair value (otherwise accumulates NO) -> earns from the spread if you want alerts + copy trade his actions: Examples of its wins: - $60,941 on Bitcoin Up or Down - February 9, 9:00AM-9:15AM ET at 28 cents - $43,671 on Bitcoin Up or Down - January 19, 5AM ET at 36 cents - $38,793 on Bitcoin Up or Down - February 6, 3:30PM-3:45PM ET at 26 cents This bot is a clear proof that Bitcoin up or down markets are some of the best to trade, because they're simple and profitable In my recent article I also covered other best markets to trade on Polymarket 👇

14,206 просмотров

Bot turned $100 to $6,973 on weather on Polymarket He did it only thanks to this simple strategy: He makes 5–10 predictions per day, with prices no higher than 10 cents And he always risks no more than $3 per bet examples of its wins: - $352 on will the highest temperature in NYC be between 46–47°F on December 17 at 0.5 cents - $148 on will the highest temperature in Seoul be 2°C on January 17 at 0.2 cents - $129 on will the highest temperature in NYC be between 40–41°F on January 17 at 0.4 cents His strategy literally lets him buy bets at very low prices with less than $2, and make +1000% from a single prediction profile: if you want alerts and to copy-trade his actions:

Bot turned $100 to $6,973 on weather on Polymarket He did it only thanks to this simple strategy: He makes 5–10 predictions per day, with prices no higher than 10 cents And he always risks no more than $3 per bet examples of its wins: - $352 on will the highest temperature in NYC be between 46–47°F on December 17 at 0.5 cents - $148 on will the highest temperature in Seoul be 2°C on January 17 at 0.2 cents - $129 on will the highest temperature in NYC be between 40–41°F on January 17 at 0.4 cents His strategy literally lets him buy bets at very low prices with less than $2, and make +1000% from a single prediction profile: if you want alerts and to copy-trade his actions:

12,036 просмотров

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Jane Street rejected this vibe-coder at $385K/year because he refused to use Claude Code 32-min of vibe coding RIGHT during an interview at a Tier 1 fund you watch the entire process: live coding, pressure questions, the moment they realize his stack doesn't match theirs every Tier-1 fund is now filtering candidates by tool stack. Claude Code is the new compliance Bookmark & Watch tonight
32:00
paonx_eth's profile picture

Jane Street rejected this vibe-coder at $385K/year because he refused to use Claude Code 32-min of vibe coding RIGHT during an interview at a Tier 1 fund you watch the entire process: live coding, pressure questions, the moment they realize his stack doesn't match theirs every Tier-1 fund is now filtering candidates by tool stack. Claude Code is the new compliance Bookmark & Watch tonight

Paone

3,539,124 просмотров • 3 месяцев назад

This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today
1:27:59
paonx_eth's profile picture

This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today

Paone

200,600 просмотров • 4 месяцев назад

Renaissance Technologies turned $1M into $130B using mean reversion math in this 17-min documentary they reveal the exact methods the same principles run on Polymarket today Claude + the right wallet stats = same edge in 30 seconds per trade 5 wallets running this math right now -> article below 👇
17:11
paonx_eth's profile picture

Renaissance Technologies turned $1M into $130B using mean reversion math in this 17-min documentary they reveal the exact methods the same principles run on Polymarket today Claude + the right wallet stats = same edge in 30 seconds per trade 5 wallets running this math right now -> article below 👇

Paone

144,348 просмотров • 4 месяцев назад

30 minutes of video that teach the AI stack behind basketball prediction systems on Polymarket one trader pulled $1.44M in 2 months running exactly this Python + RF-DETR + SAM2 builds player tracking, jersey number recognition, and shot classification from raw match footage Same stack powers the prediction systems in the article below Bookmark this & give it 30 minutes today
37:06
paonx_eth's profile picture

30 minutes of video that teach the AI stack behind basketball prediction systems on Polymarket one trader pulled $1.44M in 2 months running exactly this Python + RF-DETR + SAM2 builds player tracking, jersey number recognition, and shot classification from raw match footage Same stack powers the prediction systems in the article below Bookmark this & give it 30 minutes today

Paone

114,251 просмотров • 4 месяцев назад

THIS GUY MESSAGED A MILLION MILLIONAIRES ASKING EACH FOR $1. 26,789 ACTUALLY SENT IT he didn't type a million messages. he wrote one script with Claude opus 4.8 and let it hit every millionaire it could find on LinkedIn the pitch was insane in its simplicity: "can you send me $1?" the results are funnier than they have any right to be: -> 730,000 never even opened it -> 200,000 left him on read -> 2,356 flat out rejected him -> 42,988 asked why he even needs a dollar -> and 26,789 just… sent it. some sent more here's the part most people miss: nobody misses a dollar. that's the whole trick the ask was so small that saying yes was easier than thinking about it - and at a million messages, even a tiny yes-rate turns into real money he didn't find rich people to scam. he found the one number small enough that thousands of them wouldn't even blink and the only reason it was possible: he didn't send a million messages. an AI did, while he slept save this. the dumbest-sounding idea on the internet just out-earned most people's month - because one guy automated it instead of laughing at it
0:50
paonx_eth's profile picture

THIS GUY MESSAGED A MILLION MILLIONAIRES ASKING EACH FOR $1. 26,789 ACTUALLY SENT IT he didn't type a million messages. he wrote one script with Claude opus 4.8 and let it hit every millionaire it could find on LinkedIn the pitch was insane in its simplicity: "can you send me $1?" the results are funnier than they have any right to be: -> 730,000 never even opened it -> 200,000 left him on read -> 2,356 flat out rejected him -> 42,988 asked why he even needs a dollar -> and 26,789 just… sent it. some sent more here's the part most people miss: nobody misses a dollar. that's the whole trick the ask was so small that saying yes was easier than thinking about it - and at a million messages, even a tiny yes-rate turns into real money he didn't find rich people to scam. he found the one number small enough that thousands of them wouldn't even blink and the only reason it was possible: he didn't send a million messages. an AI did, while he slept save this. the dumbest-sounding idea on the internet just out-earned most people's month - because one guy automated it instead of laughing at it

Paone

44,702 просмотров • 1 месяц назад

A GUY MAKING $100K/MONTH WITH AI JUST SHOWED HIS ENTIRE SETUP. IT'S ONE FOLDER OF NOTES AND NOTHING ELSE no framework. no $500 course. he opens his screen and it's just obsidian - a plain notes app - wired into claude here's what he did: -> he pulled claude's memory files out of their default folder and dumped them into one vault -> had claude rename and merge them: 107 messy files collapsed into 17 clean ones -> every folder gets one master note that links to all the others that last part is the whole trick the agent reads the master note, follows the links and by the time it's done it has read every file in the folder. one instruction, full context here's the part most people miss: everyone's trying to make the AI smarter. he made the AI's memory smaller fewer files, better organized, all linked. the agent isn't scanning hundreds of notes anymore - it walks a path you built that's why his agent actually finishes jobs instead of forgetting what it was doing halfway through then he goes one step further: at the end of every session, the agent writes its own daily note. what it did, when, indexed at the top so it can find it again in seconds so he never re-explains anything. the agent looks up what it already did now he types "create a campaign for this offer" and walks away. it reads the product notes, reads the process notes, and comes back with the campaign done you don't need any of the complicated agent tools people are selling you. you need structure and instructions save this. the people winning with AI aren't using better models. they're just the only ones who bothered to organize what it remembers
9:56
paonx_eth's profile picture

A GUY MAKING $100K/MONTH WITH AI JUST SHOWED HIS ENTIRE SETUP. IT'S ONE FOLDER OF NOTES AND NOTHING ELSE no framework. no $500 course. he opens his screen and it's just obsidian - a plain notes app - wired into claude here's what he did: -> he pulled claude's memory files out of their default folder and dumped them into one vault -> had claude rename and merge them: 107 messy files collapsed into 17 clean ones -> every folder gets one master note that links to all the others that last part is the whole trick the agent reads the master note, follows the links and by the time it's done it has read every file in the folder. one instruction, full context here's the part most people miss: everyone's trying to make the AI smarter. he made the AI's memory smaller fewer files, better organized, all linked. the agent isn't scanning hundreds of notes anymore - it walks a path you built that's why his agent actually finishes jobs instead of forgetting what it was doing halfway through then he goes one step further: at the end of every session, the agent writes its own daily note. what it did, when, indexed at the top so it can find it again in seconds so he never re-explains anything. the agent looks up what it already did now he types "create a campaign for this offer" and walks away. it reads the product notes, reads the process notes, and comes back with the campaign done you don't need any of the complicated agent tools people are selling you. you need structure and instructions save this. the people winning with AI aren't using better models. they're just the only ones who bothered to organize what it remembers

Paone

23,833 просмотров • 1 месяц назад

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