Fin

Testing AI tools so you don’t have to. Real prompts, real setups, zero fluff. New workflow every day.

[Fin @fin3wil]

@ryangrowthh Amazing. High level content. Thank You

[Fin @fin3wil]

@AleiahLock The part most people will skip is the rule: let the bot do the safe 90% (research, drafts, sorting) and keep send, pay, publish and delete for yourself. That’s what makes it safe to let it run overnight.

[Fin @fin3wil]

IT’S 3 A.M. YOUR LAPTOP IS CLOSED. YOUR AI TEAM IS STILL WORKING.

Most people use about a tenth of Grok Bot.

This A–Z guide shows the other 90%. A Bot is a teammate with its own cloud computer, memory and routines. It keeps working after you close the laptop.

The setup that stuck with me:
→ One Chief of Staff you talk to, specialists behind it
→ A board that holds the state of the work
→ Routines that run on a clock
→ A short list of actions that always come back to you: send, publish, pay, delete, sign, trade
Two details most people will miss:
→ A routine costs you every time it wakes up. Every 5 minutes is 8,640 runs a month, hourly is 720.
→ Approvals from background jobs expire after about 10 minutes, so a night routine needs its ending decided in advance.

The good ending is: everything reversible done, everything irreversible staged. “Researched 42 accounts, drafted 10 emails, waiting for your yes. Sent: 0.”

The guide also lists real downsides: usage caps aren’t published, and all Bots share one computer, so they’re not a security wall.

[Aleiah @AleiahLock]

https://t.co/D4epsLBFHN

[Fin @fin3wil]

OPUS 5.5 JUST BUILT A GAME INSIDE UNREAL. THE ONLY THING IT CAN’T DO IS TELL YOU IF IT’S FUN.

Claude Opus 5.5 can now build a small Unreal game inside the live editor.

The setup: Unreal 5.8 has an official MCP server, plus a free plugin for Claude Code.

What the course gets right:
→ five gates: greybox, rules, enemy, look, test
→ a commit after every gate
→ you playtest by hand each time
→ two failed fixes = roll back

What the sources admit: one boss fight took half a day, and a sober test left a game unplayable after a controls change.

Use it to speed up what you understand, not to fill gaps in what you don’t.

[rewind @rewind02]

https://t.co/u4CCcttjg4

[Fin @fin3wil]

@rewind02 The part most people will skip is the rule that you playtest by hand after every batch. Opus is fast at executing a clear instruction in the editor, but it can’t tell you if the game feels right. That’s your job. Two failed fixes in a row = roll back to the last commit.

[Fin @fin3wil]

MOST AI AGENT FAILURES AREN'T PROMPT PROBLEMS.

The best idea in this article is the split: model, harness, loop, graph.

Here’s a one-hour way to test it:

Pick one boring job. “Read the latest support report, list the 3 biggest changes, cite each one.”

Write one role contract: what it owns, what it may do, what it must ask before.

Connect only what that job needs.

Run it 10 times on real inputs.

Mark each run: clean, or needed a human fix.

Then diagnose by layer instead of rewriting the prompt:

Forgot a preference → state

Opened the wrong tool → routing

Sent a draft it should have held → permission

Repeated a failed step → loop

Example, hypothetical and not a measured result: 8 clean runs, 2 that needed a fix. Now you know which layer to look at first, and you can widen permissions one step at a time.

The number I’d track: how many runs finish with zero human cleanup.

Autonomy should be earned in the same order as evidence.

[rari🈀 @0xwhrrari]

https://t.co/GoJ0DWB7Ve

[Fin @fin3wil]

@0xwhrrari The terrain looks great for a single prompt.Would love to see the same setup with a moving camera and a gameplay loop.

[Fin @fin3wil]

@Dain0x Insane

[Fin @fin3wil]

It is becoming f*cking dangerous: an AI agent can now clean up your TV in minutes. Ads, bloat, trackers, all gone.

But one wrong command and you’re left with a black screen.

Here’s how to do it without bricking anything:

1. Save the package list first
adb shell pm list packages > before.txt
This is your backup. Do it before anything else.

2.Disable, don’t delete
adb shell pm disable-user --user 0 <package>
Undo anytime: adb shell pm enable <package>

3.Make the AI explain every package
Don’t let it run “remove all bloat”. Make it list each app, say what it does, and wait for your OK.

4.Don’t touch the launcher
Keep the stock launcher on until your new one works. If the TV gets stuck, re-enable the stock one first.

5. Read the script before you run it
If the AI gives you a repo or a script, open it. Never curl | sh blindly.

6.Turn debugging off after
adb disconnect, then switch debugging off in developer options. Open debugging on your home network is an open door.

7.Check what TV you actually have
Android TV / Google TV: everything above works.

Fire TV: Android-based but locked down. Updates can undo your changes.

Samsung (Tizen): not Android, ADB won’t work. Turn off ad personalization and viewing data (ACR) in settings, and block at DNS level on your router.

LG (webOS): same story as Samsung. Settings plus DNS blocking.

The rule behind all of it:

snapshot → small change → approve → keep an exit → clean up.
Fun hack. Not a free one.

[Gathin (Ø,G) @gathint]

Vibe coded my parents' TV this afternoon!

It was showing a sponsored ad before you could even get to Netflix.

Gave Claude Code the model number, it found the TV on wifi, removed 25 Xiaomi packages and wrote a new launcher.

Looks like an Apple TV now lol

[Fin @fin3wil]

@gathint Awesome.

[Fin @fin3wil]

@RetroValix @Dan1ro0 Aroon in one line: it measures how recently price made its highest high vs lowest low. Up &gt; Down = uptrend bias. The formula is easy. The edge after fees is the hard part.

[Fin @fin3wil]

@Dan1ro0 Math checks out: $268,805 / 177 days ≈ $1,519/day. Polymarket positions are public, so can you share the wallet so people can verify the PnL?

[Fin @fin3wil]

A 24-YEAR-OLD MADE $3,000 BY POINTING A PHONE AT AN EMPTY STREET.

He didn’t have a business. He had a new phone with a camera that pops out and swings on a gimbal.

So he put it on a window ledge above a street market.

For 14 days the camera swept the street all day. AI counted passersby, queues and the hours when the street came alive. No faces. Just numbers.

Day 15: he had a map of where the money walks.

He sold it to street vendors for $100 each.
30 vendors. $2,969.
One noodle seller moved his cart 20 meters and doubled his evening sales.

The camera wasn’t the product.
The question was: “Where do people actually walk?”

[Fin @fin3wil]

@RoundtableSpace Closed source isn’t dead, it just got a free audit.

[Fin @fin3wil]

@AnnatarXBT Where’s the live P&amp;L? Diagrams don’t print money.

[Fin @fin3wil]

31M people saw this list. Here’s the 30-second version.

Install first:

1.frontend-design (avoids the default purple-gradient look)
2.skill-creator (teach Claude your own rules)
3.superpowers (plan → test → review)

The other 7: nice to have.

[Bober_smart @Bober_smart]

https://t.co/p4teS18nnJ

[Fin @fin3wil]

THIS VIRAL CLAUDE CODE POST IS HALF RIGHT.

Fact-checked this against the docs. 3 true, 3 hype.

True: workflows are scripts, results stay out of Claude’s context, ultracode exists.
Hype: “zero Opus burn” (more tokens overall), 16 agents at once by default (not every file), JEV is third-party.

Cheap scans, strong fixes.

[mirku @mirku21]

THIS IS A PURE F*CKING GOLDMINE

Anthropic just shared the sharpest trick for Claude Code

The idea: let Opus 5.5 write the plan as a script, and swarm the new Haiku 5.5 in parallel

Huge sweeps with zero Opus burn: the script holds the loop and Opus only sees the final diff

You just launch Claude Code like this:

claude --model opus --effort ultracode

here's the split:

→ Opus 5.5 turns your objective into an executable workflow script
→ Haiku 5.5 swarms every file in parallel at 340 tok/s to extract candidates
→ Sonnet 5.5 patches each fix and cross-checks findings in its own isolated copy
→ you stop burning Opus context on a hundred agent transcripts

Opus only shows up at three moments:

→ authoring the workflow script before the run
→ reading verified findings after the swarm finishes
→ signing off before anything ships to git

Opus plans · Haiku scans · Sonnet ships

JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split

the full tree
> Opus 5.5 runs the main session and writes workflow.js
> pipeline() fans out the new Haiku 5.5 to audit every file
> parallel() schema validators drop false positives in V8
> Sonnet 5.5 patches each fix in an isolated worktree
> verify cross-checks all diffs before reporting
> Opus 5.5 reads only what survived verification
> JEV routes micro-forks in milliseconds

paste the tree and this prompt into Claude Code ↓

"Rebuild my Claude Code setup around this tree:
1. Run the main session on Opus 5.5 with ultracode on
2. In every workflow, run read-only scan stages on the new Haiku 5.5 and edit stages on Sonnet 5.5, each edit in its own isolated copy
3. Add one rule to CLAUDE.md: every finding gets an independent verifier agent before it's reported, and fix loops stop after two rounds with no progress
4. Route fast deterministic forks (tool choice, path selection, retries) through JEV
Show me every change as a diff first, no edits until I say go"

↳ https://t.co/PcTdH7dyjb

save it, it'll come in handy

[Fin @fin3wil]

@RohOnChain good promt skeleton. I’d add a rule to log every rejected setup, so u can audit why it said no

[Fin @fin3wil]

@mirku21 nice breakdown. how do u verify the swarm’s findings before Sonnet patches them?

[Fin @fin3wil]

@thedelost Does the script step ever drift from the plan when the cheaper agents hit edge cases?