pick a f*cking side. $PROPHET just shipped something clever - and it’s free to play. the mechanic: your community makes ONE call. a single yes/no question with a real source - ape (yes) or fade (no). you vote, the majority becomes the pick. every voter gets a tokenized prediction: an NFT of that call. got it wrong? burn it in the graveyard and it unlocks a free spin on Prophet’s wheel. hit or miss, everyone still gets the spin. no wallet, no cost - sign in with X and you’re in, they make the wallet for you. built on Robinhood Chain. not financial advice, nothing here is a promised return - it’s a community call game, and it’s genuinely fun to play. so: ape or fade? vote: graveyard.prophetthedog.xyz/…

this is f*cking gold. Every time you explain your projects to Claude from scratch, you’re doing work your files could be doing for you. Here’s a second-brain setup you can actually copy: 1. Create a folder called second-brain and open Claude Code inside it. 2. Add three folders: • notes/ - facts, research, ideas • people/ - contacts and meeting notes • projects/ - one file per active project 3. Add three files: • MEMORY.md - essential context about you • decisions.md - decisions and the reasoning behind them • LEARNINGS.md - mistakes, lessons, things to repeat 4. Create CLAUDE.md in the root folder. Describe where everything lives, then add these rules: Read the relevant files before answering. Cite the file you used. If information is missing, say so. Keep one topic per file. Update existing notes instead of creating duplicates. 5. Start with ONE real project. Add its goal, current status, last decision, blocker, and next action. 6. Test it: Where did I leave this project, why did I choose this approach, and what should I do next? Check the answer against your files. 7. Before ending a work session, ask: Save today’s decisions, update the project status, and record the next action. That last step keeps the system useful tomorrow. The video shows how these pieces connect. Save this checklist, then open the quoted guide for the full setup.

this is f*cking gold. I turned Claude into 99 one-tap commands that actually make life easier. no more retyping the same prompt every time - you just drop the command + your input: /HOOK → five scroll-stopping hooks /ELI10 → explain anything like you’re 10 /DECLINE → a polite no in one line /SUM3 → any wall of text in 3 bullets /STEELMAN → the strongest case for any view ...and 94 more - email, writing, planning, meetings, brainstorming, decisions, all of it. save this one. you’ll reach for it every week. full list in the replies

this is f*cking gold. ChatGPT isn’t a chatbot anymore - it’s turning into a full operating system for work. everyone still opens it to ask a question. the real shift is everything wired around the models: reasoning, deep research, Codex, ChatGPT Work running long tasks, memory, projects, scheduled jobs, connected tools, custom GPTs. OpenAI quietly turned a text box into a production stack - a model picks the task, agents run it, memory keeps it, automations repeat it. and that flips the skill. knowing which model to prompt isn’t the edge anymore. knowing how reasoning, memory, agents and automation fit together is what separates people asking ChatGPT things from people building on it. I mapped who actually wins at what across the whole thing in the piece I’m quoting. save this if you want to see where this is actually heading.

holy sh*t. same prompt. Opus 5.5 cost me $25. Haiku 5.5 cost $2. one of these is 12x cheaper and I’m genuinely not sure it matters ↓ Same prompt, zero edits. a floating voxel island with a pagoda and cherry blossoms. Opus 5.5 on the left ($25), Haiku 5.5 on the right ($2). Opus went all in: the glow under the island, detail in every tier of the pagoda, the lighting, the little torii gates. it’s gorgeous. now look at the $2 one. Haiku got the whole thing: the island, the pagoda, the blossoms, the shape. for a twelfth of the price. so here’s the question nobody wants to answer out loud: is the extra detail worth 12x? or is “good enough for $2” the actual story of 2026? a year ago Haiku couldn’t do this at all. now it’s close enough to make you hesitate at checkout. $25 Opus or $2 Haiku - which one are you shipping? follow me - I’m dropping the exact prompt for both soon, and only to people following

i gave my AI agents a little island to live on. you can watch them work all day, then walk home and sleep in their little houses when the lamps come on 🥹 Opus 5.5 built the whole thing. prompt to make your own is below

Prediction markets + memecoins is a combo I actually get. Attention brings people in, but you need a reason to stay. That's why $PROPHET caught my eye. Prediction markets on Robinhood Chain where your position is a token in your wallet, and using the markets uses up PROPHET. Finally a meme with a job lol Still early tho. Want to see markets ppl come back to and real liquidity before I get too excited. The meme gets attention. Let's see if the product keeps it.

5 AI agents ran my trading desk this week while I mostly watched. It closed at +$5,680. I slept through the 5am entry that added $1,440 of it last night. 5 AI agents on one desk, running for about $570 a month, do the work a crypto desk pays analysts six figures a year for. There's a 5am entry I don't even take. How the desk is split: SCOUT scans the market and pulls setups before they hit the timeline. GATE kills the noise, only the real setups get through. REVIEWER checks the risk before a cent goes in, flags the traps. BUILDER places the order the second it clears. BUDGET GUARD caps the risk and cuts losers the moment they break the rules. The one call that actually needs a human, it hands to me. Nothing else. This week the desk scanned 1,000 setups, cleared 7 trades, and closed at +$5,680. 5 winners, 2 cut early. The 5am entry I slept through last night? That one added $1,440. Here's the part nobody posts: the whole desk runs for ~$570 a month because a cheap gate keeps the expensive model off most of the work. That's the only reason the profit stays profit instead of getting eaten by the API bill. Built it over a weekend. No analyst, no 16-hour screen. Save this before your next trade. The full cost architecture is in the guide ↓

I woke up to a $180 bill from my agent. The same work now costs me $19. Nothing had crashed. It was just sending the same easy questions to an expensive model all night. I added a gate: skip irrelevant checks, pull repeated answers from memory, and call the model when there’s new work to do. Of 10,000 daily checks, 9,000 no longer need a model call. Same workload, same frontier model. $180 → $19. Here’s the blueprint ↓

We're running the same AI agent. You're paying $180 a night. I'm paying $19. Here's the one thing you skipped Not a cheaper model. Not less work. Same 10,000 checks a night, same output. The difference is a cheap layer that sits in front of the expensive model and decides what's even worth sending up: → ~9,000 of those checks are repeats or junk - a gate kills them for $0 → only ~1,000 genuinely new ones ever reach the expensive model → a hard cap the model can't override, so one runaway loop can't drain your account overnight Same brain. Same work. 10x less bill. Most people find this out at the invoice. You don't have to. Save this ↓

My agent was burning $180 a night paying the smartest model to answer questions it had already answered. One cheap layer cut it to $19. No smaller brain, no quality drop - just a gate in front of the expensive one. What the prompt below builds: → a cheap typed layer (JEV) reads every check and decides skip / answer / escalate before the expensive model ever wakes up → a dedup memory that returns answers it already gave while the state is unchanged - repeats add no frontier-model cost, and the moment state changes it's a new call → a hard budget cap the model can't override - hits the hourly wall, it stops. no vote, no "let me finish the thought" → the frontier model only runs on what's genuinely new (~10% of calls) → a kill switch, and a nightly self-review that logs every wrong route as one new rule Same 10,000 checks a day. Same work. The ~9,000 repeats and skips never touch the expensive model. Before it goes live, it has to answer one question: HOW MUCH COULD THE NEXT ACTION COST, AND IS IT WITHIN BUDGET? Full prompt below. bookmark it before your next invoice ↓

My agent wrote a 1,300-token essay just to answer "yes" last night. Then it did it a few thousand more times - and billed me for every word. A cheap typed model gives the same answer in a single token. I ran both for a week. Same yes/no, same result every time. The expensive one just talks its way there - a full paragraph of reasoning before it commits, around 1,300 tokens per decision in my test. The cheap one skips the monologue and answers in one. The gap was never the answer. It's the road to it. You pay for the thinking out loud, thousands of times a night. So I stopped asking the expensive model to decide. It still runs - it just builds things now instead of narrating its way to yes or no. Same decisions. The thinking tax, gone.

My agent tried to spend $2,000 in one hour last night. It spent $2. Still can't believe I used to run it with no ceiling. Everyone worries the agent makes a bad call. The real leak is quieter: a loop that keeps asking the expensive model the same thing, faster and faster, billing you for every spin. No bad trade. Just a runaway meter you find in the morning. So I stopped trusting it to behave. I gave it a wall: BUDGET → counts every dollar the second it's spent. Hits the hourly cap, it stops - no vote, no "let me finish the thought." CLAUDE → only runs while there's budget left. Dead quiet after that. The cap doesn't care how confident the agent is. $2 an hour means $2 an hour. The loop can want $2,000 - it gets a locked door. Same agent. Same work. It just can't bankrupt me anymore. Save this before your next invoice ↓

I let my AI agent run for a month. It spent $765 making decisions a $3 model makes exactly the same. 600 decisions a night: triage, safety checks, when to stop. Opus reasoned through every single one, and you pay for every token it thinks. Move those decisions to a cheap typed model and nothing else changes. Same triggers, same actions, same output. The decision bill drops from $765 to $3.02 a month. 250x, same loop. Claude should be building, not deciding. Full breakdown 👇

Most weather traders just read the forecast. This bot on Polymarket runs 82 of them at once - and it's up $88,946. Here's how it actually thinks. Every hour it simulates tomorrow's weather 82 different ways. Where most of those runs agree, but the market is still pricing it as a longshot - that's the gap. That's where it buys. The clever part is who's making the call. It used to take an expensive AI to decide every trade - slow, and pricey across 3,433 of them. Now there's Jev: a model that doesn't talk, it only decides. One writes the forecast note, Jev says buy or skip in a quarter of a second, the code sends the order. One writes, Jev decides, the code acts. So it keeps buying the cheap tickets - half a cent, three cents - that everyone else ignores. Most go to zero. But once in a while one of them pays 20, 50, even 179 times the stake. One paid $8,741 on its own. AI will always show you a beautiful profit curve. The only question worth asking is whether there's any real physics holding it up.

This trader predicts the EXACT temperature a city will hit - down to a 2-degree window - and turned it into $16,254 Check: polymarket.com/@amano-hina?v… Not "hot" or "cold." He calls the precise band. And he keeps nailing it: [+] NYC lands 86-87°F → won $1,555 (Yes at 51¢) [+] NYC lands 64-65°F → won $1,431 (Yes at 51¢) [+] Seattle lands 54-55°F → won $1,289 (Yes at 53¢) [+] NYC lands 78-79°F → won $988 (Yes at 38¢) Top ticket: $302 ➡️ $1,290 on a single 2-degree call. +326% 2,477 predictions. Almost all temperature. His edge isn't guessing the weather. It's spotting the one narrow band the crowd underpriced - then hammering it. And he's live right now. Open positions for TODAY: LA, San Francisco, both fading the heat. Would you bet on a city hitting an exact 2-degree window?

This trader has quietly made over $46,000 betting on the temperature Check: polymarket.com/@weatherstapp… He keeps circling the same handful of hot cities: [+] Madrid [+] Singapore [+] Jakarta His bread and butter: betting NO - that the heat won't hit the number the crowd is scared of. No at 55¢–69¢, over and over, cashing when the city stays cooler than the panic. 1,888 weather bets. Almost nothing else. Top ticket: $1.40 -> $1,398 - [Lagos 37°C or higher, May 12] - Yes at 0.1¢ That's +99,790% on a single contract His edge isn't forecasting better than a meteorologist It's knowing when the crowd has mispriced a city he understands cold

An account literally called "OnlyLuckNoBrain" has made $24,000 on Polymarket betting on the weather. Spoiler: it's not luck. Check: polymarket.com/@onlylucknobr… 11,000+ bets across cities worldwide. Best one: a Madrid market bought at 0.2¢ → $4,000. Kuala Lumpur +$3,147. Seattle +$2,318. Tokyo +$1,017. The name's a joke. The strategy is a machine - thousands of tiny mispriced weather bets, small edge, massive sample. That's not luck. That's a system wearing a dumb username.

The final's in. That 2-bet wallet? Both bets hit. $164,702 in profit, zero losses, still 100%. - Jodar (QF): +$109,429 - Shelton (final): +$50,188 Two clicks in two weeks. That's the whole track record. Cincinnati just started in Ohio - another Masters, another chance for this thing to move. I'm watching what it bets next. Follow if you want to know the second it fires again.

Yesterday I showed you a wallet that made $200K by being patient. Today it's down $125,740 in 24 hours. And it already fired the next bet. Yesterday: Marcoli. 224 career bets. +$199K in a month. It put $84K on Rafael Jodar to beat Brandon Nakashima. Jodar lost. The semi went to Nakashima. Marcoli's day: −$125,740. Most wallets sit out after a hit like that. Marcoli didn't. It's already back - in the same tournament: → Ben Shelton to win the final - $48,674 @ 69.1¢, 72,109 shares Look who's on the other side: Nakashima. The exact guy who just knocked out its pick. Marcoli's now betting to deny him the title. Dropping $125K and redeploying same-day is either conviction or tilt. On a wallet that fires 226 times in two years, I lean conviction - it's not chasing everything, it's taking the one live edge left in the bracket. A Shelton win claws back ~$23K of the hole. Down, not out. Discipline or tilt - which one are you watching?