Wombaflow

Breaking down the AI setups going viral. What works, what's hype, what it costs

[Wombaflow @Wombaflow]

@0xForem 23 apps down to 3 is the part worth copying. the file access audit is good hygiene regardless

[Wombaflow @Wombaflow]

@hammertime_one the three piles are the real feature. agent sorts, you decide, and the 808 in "review" is where the actual judgment still lives

[Wombaflow @Wombaflow]

@HoodieFade_ file #20 is the real lesson. twenty skills aren't the win, loading the right two is. most setups dump everything into context and wonder why the output gets mushy

[Wombaflow @Wombaflow]

Holy sh*t, a 95-line script with no AI inside caught a planted fake fact in milliseconds, for 0 tokens. here’s the 10-minute version for your Claude second brain

what you get: a wiki that Claude writes and a referee that Claude can’t talk its way past. one wrong source touches 10 to 15 pages, so the check matters more than the notes

the test, step by step:
→ open any page in your wiki and add one false sentence that sounds right (the guide used “Bush invented hypertext in 1941”)
→ ask your model to check the wiki for errors and see if it catches it
→ now add the rule that makes it catchable: every hard claim ships with a quote line from the raw file it came from: > “exact text” - raw/file.md
→ run a script that checks each quote exists word for word in that file. no AI, just text matching
→ the fake sentence now prints as: QUOTE NOT IN SOURCE
6 things the script checks, all in milliseconds:
→ every page has title, sources and updated date
→ every listed source file exists
→ every [[link]] resolves
→ no orphan pages, no leftover TODO
→ raw files edited after ingest get flagged, with the stale pages listed
→ every quote exists word for word in the file it cites
wire it in so you can’t forget:
→ deny edits to raw/ in .claude/settings.json. keys, not prompts: “please don’t delete this” is only a suggestion
→ run the check after every edit under wiki/. when it fails, the error text reaches Claude in the same turn and it fixes the page itself
→ commit after every ingest, so a bad one is one git revert away
what to expect: under roughly 50 to 100 sources a wiki feels like a good search engine, and that’s where most people quit. and the check proves the wiki matches its sources, not that the sources are true
the full script is in the appendix of the article below ↓

[Brucky @danikkk_wqs]

https://t.co/LKghIM2a0E

[Wombaflow @Wombaflow]

@Yumslef good instinct. always read the source, a breakdown is only as good as what it left out

[Wombaflow @Wombaflow]

Holy sh*t. A Grok bot turned $3,000 into $12,500 in 9 hours. And the trick isn't the bot. It's five bots that aren't allowed to do each other's jobs.

I broke down the setup. A relay of 5 agents, one job each:

SCOUT finds every new Solana pair. 14,200 in one night
ANALYST kills the rugs. Top 10 wallets hold over 30%? Dead. Mint not revoked? Dead. 312 survive
SNIPER enters the survivors with 0.4s fills
RISK trails every open position so a winner never turns red
BANKER takes the exit and moves the profit off the table

14,200 pairs → 312 passed → 118 trades. 97 green, 21 red.

Hour 0: $3,000
Hour 3: $4,800
Hour 6: $8,900
Hour 9: $12,500

What I'd steal from it:

→ Filter harder than you trade. 98% of pairs died before a single buy
→ One agent, one job. The scout can't buy, the sniper can't pick
→ Protect winners with a separate agent, not the one that entered
→ Move profit out automatically, so a great night can't be given back

Most people build one giant bot that does everything, then wonder why it blows up on the first rug.

A coin has to get past all five agents. Most don't make it past the second.

[Loofy @Loofyb0i]

https://t.co/BMicEBAVob

[Wombaflow @Wombaflow]

@diamai_ numbers are from the source, not my run. fills and fees are the first thing i'd check too

[Wombaflow @Wombaflow]

@adam_james_hill fair point. one night is a sample, not a strategy

[Wombaflow @Wombaflow]

@Stiingy7 "for one who knows" is doing all the heavy lifting in that sentence

[Wombaflow @Wombaflow]

@makiriss wow, that's crazy, nice job

[Wombaflow @Wombaflow]

@insomnia_vip bro , that's dope

[Wombaflow @Wombaflow]

@murrtlen that's crazy

[HD$H @Ryaba_hdsh]

An Anthropic engineer says he got hired at $350K–$950K for one skill: building harnesses.

Most people hand-roll multi-agent systems and watch them fall apart. He builds the layer around the model instead: loops, sandboxed tools, and logs that turn into new skills. Same model, agents that keep improving overnight.

I watched his workshop. The 5 steps:

1. The harness owns loops, context and sandboxing, not the model
2. Brain and hands are separated, 60% faster to first token
3. It runs server-side and resumes from the log after a crash
4. Failure is cheap: retry and replay instead of starting over
5. Yesterday's logs become new memory, so the system wakes up smarter (Anthropic calls it "dreaming")

What I took away:

→ The model isn't the bottleneck anymore, the harness is. Same Opus 5.5, completely different reliability.
→ Log everything. The log is your crash recovery and your learning data at the same time.
→ Never restart from zero. Replay from the last good step.
→ Build the "dreaming" loop first. An agent that learns from yesterday beats one that doesn't.

Weeks of hand-building, compressed into one short workshop.

Full Opus 5.5 harness engineering guide below ↓

[Wombaflow @Wombaflow]

Holy sh*t. I gave Grok $52 and one rule: 2 losses in a row, switch the trader. 24 hours later: $4,939.

Grok picks who to copy from the weekly leaderboard. Dawn mirrors every trade at 0.25x size and closes the second they sell. I touched nothing.

What happened:

00:00 → ape_vasco, weekly #1
05:16 → 2 losses, dropped. Wallet: $73
05:16 → moonpie_max, #3
13:55 → 2 losses, dropped. Wallet: $520
13:55 → lunadegen, #2
Overnight → $4,939

The weekly #1 turned $52 into $73. The #2 turned $520 into $4,939, selling in two batches: +$771 and +$837.

I would've stayed with #1 the whole time. Best ranking on the board, why leave? The bot didn't care about rank. Only the losing streak.

Both switches cost under $12 total. 48 trades, 36 green. The 12 red ones stayed small because every position runs at 0.25x.

Anyone can pick a top trader off a leaderboard. The edge is a rule that fires him fast when the streak turns.

Steal it: set your exit rule before you follow anyone. Mine was 2 losses in a row.

Hour 24: still following lunadegen. The bot is still checking his streak.

[bodila @51bodila]

Finally... AI trading system that I trust with my money

Built on Jane Street’s rules, the firm behind ~10% of US stocks

6 GrokBot + Opus 5.5 agents find, test and kill trades 24/7 while you sleep

In this article, I show you how to build it: https://t.co/hy4QwGEBHR

[Wombaflow @Wombaflow]

@beamnxw it is, as long as the scope is one feature, one clip, one round of changes. the scope is the real price, the number is just the label

[Wombaflow @Wombaflow]

Holy sh*t, Opus 5.5 can turn one product screen into a 20-second launch video, and the article’s example offer for that job is $150

what you get: a square video for one feature of any product, with the cursor, the click and the result landing exactly when they should, and a version you can re-render when the copy changes

the offer from the article, in 5 lines:
→ 1 feature
→ 1 video, 20 seconds, 1080 by 1080
→ 1 cover image
→ 1 revision round
→ $150 pilot (the article calls it an illustrative price to test)
the 10-minute test, no building needed:
→ save any 10-second product video you like as reference.mp4
→ open Claude Code on Opus 5.5 and ask it to analyze the main product reveal and save a REFERENCE.md with timestamps and frame numbers for when the card enters, lands, holds and cuts
→ open the file and check 3 of those numbers against the video yourself
what the finished shot looks like, in plain seconds:
→ 4.0s: report on screen
→ 6.0s: cursor reaches Export
→ 6.5s: click
→ 7.0s: finished file appears
→ 14.0s: closing shot
one rule that saves hours: give every event its own timestamp. when something looks wrong you say “fix the cursor between 6.5s and 7.0s, keep the click where it is” instead of “make it better”
the tools are Claude Code, Remotion and FFmpeg, all set up step by step in the article
test it tonight: ask for 3 still frames (opening, result, closing) and check three things: is the text readable, is the result visible, does the closing have room

the full guide is in the article below ↓

[beamnxw ./ @beamnxw]

Opus 5.5 can run a whole motion design studio

Sell a 20-second launch clip built from real product screens

Copy the motion engineering prompts and delivery process

Build your offer before the next product launch ↓ https://t.co/KjiDrYRDjQ

[HD$H @Ryaba_hdsh]

Holy sh*t, xAI’s Grok Bot found 43 paid seats nobody touched in 90 days and $85,662 a year in unused software

xAI says one internal bot did it (its own tally: $100K+ in savings, ~125 vendors mapped, a $14,629 order cut to $6,143). the setup is public, and you can copy it for your own subscriptions

what you get: every morning a list of what you pay, what to cut and the exact email to send, with nothing sent until you say yes

the 3 permission lines it ran on:
→ Always allowed: read spend data, message colleagues, pull reports, update notes
→ Needs your explicit go, every time: anything sent to an outside party
→ Never: sign, buy, subscribe, approve a charge, make a binding commitment
make it report one finding at a time, like this:
→ TODAY: what you pay now, per year, with the source
→ SAVE: realistic savings and how, with a confidence level
→ REC: one recommendation, not a menu
→ NEXT: what it already set in motion
xAI’s bar for a finding. not “renegotiate the CRM (~$50k)”. this: “video tool renews Oct 14. 210 seats, 74 idle for 90 days. drop to 150 = ~$18k/yr. owner confirmed”
no dollar figure, no mechanism, no deadline: it’s a lead, not a finding

add a renewal radar: anything renewing in the next 120 days goes to the top of the queue, because the leverage is at renewal
and before it drafts any email to a vendor, it shows you the plan first: target price, opening ask, walk-away, and what it does if they say no
test it tonight: export one month of card statements (hide the card numbers), paste the 3 lines, ask for findings in that format. tomorrow, count how many have a dollar figure, a mechanism and a deadline, and how many sends are waiting on you
the full system behind it is in the article below ↓

[HD$H @Ryaba_hdsh]

This is f*king insane: a repo with 22.2k stars turns any old HDMI TV into an ad-free smart TV

the trick is a Google TV or Android TV stick. the repo has tested lists for 227 TV models across 64 brands, including Chromecast with Google TV, Google TV Streamer, the onn 4K box and Xiaomi TV Stick. the post behind it hit 7.4M views

the 15-minute setup:
→ plug the stick into the old TV and finish its setup
→ on the stick: Settings > Device Preferences > About > press OK on Build 7 times > Developer options > USB debugging on
→ on a computer on the same Wi-Fi, paste the repo’s PROMPT.md into Claude Code (Codex and Gemini CLI work too) and add your stick’s model
→ tap Allow on the screen, then answer its checklist: your apps, dock order, keep the voice assistant or not
→ it backs up, disables the junk and installs a 470 KB launcher: black home screen, a dock of your 4 favorite apps, no sponsored row
→ turn network debugging off when you’re done
nothing gets uninstalled, and one line restores everything
test it: time from power-on to Netflix, and count sponsored rows on the home screen, before and after
repo in the reply ↓

[Wombaflow @Wombaflow]

This is f*king insane: your Grok Bot runs 96 times a day on a 15-minute routine. if nothing changed, you paid for 96 empty runs

a Grok Bot team member’s number 1 tip for controlling usage is to avoid exactly this setting. here are 6 fixes, the last one is the sneakiest:
→ count your routines’ runs per day. anything every 15 minutes is suspect #1
→ reports: once or twice a day. truly urgent: an event trigger
→ add one line: if nothing changed since the last run, say nothing
→ one message only when something needs you: what happened, what it did, what it needs from you
→ give it a ticket ID, not “reply to Alex”, or it reads every open ticket to find one
→ check its waits: an agent that slept 300 seconds for a one-minute test run was burning budget on the nap
for scale: the team’s support session put a medium ticket at about $1 to $2, and a simple billing ticket at about $0.20 once a script handled it. order of magnitude, one session
test it: compare your usage the week before and the week after
the routine templates are in the article below ↓

[unicode @unicodef1wn]

I put together one guide for anyone who wants a workflow like the SpaceXSI team's.

One message builds your whole Grok Bot setup. Plus the team's rules, prompt habits, routines and permissions. Every setup is a block you paste.

16-min read. Save it ↓ https://t.co/gJ8ddzRkkM

[HD$H @Ryaba_hdsh]

holy f*ck, xAI says its own bot found $85,662 a year in software nobody was using. here’s the 10-minute version for your own subscriptions

what it did was simple: compare what was paid for with what was actually used, then flag the gap

your version:
→ connect Gmail and ask the bot to list every recurring charge from the last 12 months
→ sort by the last time you opened the product, not by price
→ flag anything idle for 60+ days, anything you pay for twice in one category, and any intro price that quietly expired
→ ask for a cancel-or-keep table with the cancel link next to each row
→ give it the rule xAI’s own team uses: it can’t spend money, accept terms or email anyone without your yes
→ turn it into a monthly routine, so a forgotten charge gets caught in weeks, not months
test it: add up your monthly charges before and after, multiply the difference by 12
Grok Bot Premium is $30 a month, so if the first pass doesn’t cancel more than that, do the same checks by hand
the full breakdown is in the article below ↓