OPUS 5.5 CAN MAKE MOTION DESIGN LOOK LIKE A F*CKING CHEAT CODE describe the animation, build the workflow, let Claude help with the technical shit. fewer hours fighting tools. more time making the thing. save this before your next project and read full guide in article ↓

OPUS 5.5 JUST TURNED BLENDER INTO A F*CKING CHEAT CODE one prompt can turn claude into your 3D modeling assistant, helping you build Blender scenes, generate Python scripts and automate repetitive modeling tasks no more starting from a blank viewport and manually clicking through every damn step give Opus 5.5 the right instructions, describe what you want to build, and let it handle the tedious parts the real hack isn't replacing Blender. it's making Claude do the work you'd normally spend hours figuring out save this setup before your next 3D project ↓

Full explaining of using Opus 5.5 in serious 3D Modeling, check it

Holy f*ck, this PDF turns Opus 5.5 into a 3D studio It's freacking incredible… One prompt inside, and it starts building a Blender film from pure code Drop this prompt below into Opus 5.5 and see what it makes ↓

A LONG PROMPT IS NOT PERFECT MEMORY: ONE STUDY MOVED A SINGLE DOCUMENT AND ACCURACY CHANGED BY 22 POINTS the setup, from "Lost in the Middle": -> 20 documents, only one contains the answer -> same question, same documents -> the only change is where the answer sits GPT-3.5-Turbo results: -> answer first: 75.8% -> answer in the middle: 53.8% -> answer last: 63.2% -> no documents at all: 56.1% these are 2023-era models, so test yours. until then: key facts at the start or the end, repeat the question after long data the full walkthrough is in the article below ↓ save it before you paste your next 50 pages where do you put the most important line of a long prompt?

A MODEL CAN MISCOUNT THE LETTERS IN "STRAWBERRY" BECAUSE IT NEVER SEES LETTERS here is what actually reaches it: -> your text is cut into tokens -> "strawberry" becomes str | aw | berry -> the model gets ids of those chunks, not characters the spelling sits inside the chunks, so the model recalls it from training text instead of reading it for letters, digits and exact lengths: -> make it spell the word out first -> or let code do the count real tokenizer output for a few words and phrases is in the article below ↓ save it for the next time a model miscounts something which task did you hand to a model that code should have done?

THIS IS F*CKING BRILLIANT you're probably wasting Opus tokens on dumbass tasks that never needed that much reasoning in the first place Claude Code lets you control effort levels. most people just leave the dial alone and pay for the same level of thinking on a fucking rename as they do on a complex architectural decision start with: claude --model opus --effort low here's the move: → low for routine edits, imports, renames and formatting → /effort xhigh when a problem actually needs deep reasoning → give subagents their own effort settings through frontmatter → stop treating every tiny task like a goddamn research project but here's where you turn the dial up: → before a complex plan touching multiple files → when the same bug survives repeated fixes → before a high-impact change that's painful to reverse low for the boring shit. xhigh when the stakes justify it. JEV engineering applies the same principle one layer down: route simple forks like file selection, tool choice and retries through a lightweight decision system, instead of wasting expensive model reasoning on every tiny fucking decision the full tree > Opus runs the main session at low effort > switch to xhigh when deeper reasoning is needed, then dial it back down > search uses Haiku at low effort > review uses Sonnet at high effort > each subagent gets an effort level suited to its role > JEV handles simple routing decisions in milliseconds paste the tree and this prompt into Claude Code ↓ "Review my Claude Code setup and propose changes based on this structure: 1. Configure the main session to use Opus at low effort. 2. Set low effort for read-only subagents and high effort for the review subagent, where supported. 3. Add a CLAUDE.md rule to increase effort for complex multi-file plans, repeated unresolved errors, and high-impact changes, then return to low effort afterward. 4. Identify simple deterministic decisions that could be routed through JEV. Show me every proposed change as a diff first. Do not edit anything until I approve." ↳ code.claude.com/docs/en/mode… save this shit before you forget it

REA + OPUS 5.5 IS ACTUALLY INSANE most people are still paying for software without realizing they can use AI to investigate how those apps work under the hood REA lets Claude inspect binaries, trace features, test behavior and help rebuild implementations without access to the original source code send this prompt to Opus 5.5 and give it a closed-source app to investigate → inspect how the feature works → trace the path from input to output → separate observed behavior from assumptions → rebuild the functionality and test it against the original one reported case: 3,205 tests passed, with all 63 compiled bytes matching imagine walking into work with a tested internal alternative to a tool your team has been paying hundreds per seat for not another chatbot wrapper. not another tutorial. actual software investigation full guide on becoming a REA engineer from scratch below ↓

Closed source is officially f*cking dead... these 10 GitHub repos (416K stars combined) let your AI agent reverse engineer any app, game or tool on your machine. no source code needed send to your Claude: • REA (224K stars) - one MCP for RE: native binaries, Electron, .NET, websites. ask how a feature works, get the evidence github.com/morluto/rea • jadx (51K stars) - any Android APK → readable Java source in one command. github.com/skylot/jadx • x64dbg (50K stars) - Windows debugger built for RE and malware analysis. MCP plugins let the agent drive it. github.com/x64dbg/x64dbg • Apktool (26K stars) - unpack an APK, edit it, rebuild it. github.com/iBotPeaches/Apkto… • radare2 (25K stars) - full RE framework that lives in the terminal. has an official MCP server. github.com/radareorg/radare2 • IDA Pro MCP (13K stars) - plugs the industry-standard disassembler straight into your agent. github.com/mrexodia/ida-pro-… • dnSpy (11K stars) - debug and edit any .NET app, save the patched DLL. github.com/dnSpyEx/dnSpy • angr (9K stars) - Python binary analysis with symbolic execution. the agent writes the script. github.com/angr/angr • Ghidra MCP (5.6K stars) - 200+ MCP tools on top of NSA's decompiler. GUI or headless. github.com/bethington/ghidra… • Cheat Engine MCP (1.6K stars) - your agent reads game memory, follows pointer chains and finds the health value for you. github.com/miscusi-peek/chea… Send this to your Claude, then see how Opus 5.5 reverse engineers anything below ↓

I HAVE NO F*CKING WORDS... Claude Opus 5.5 + Reverse Engineering MCP can turn a black-box app into something you can inspect, understand and rebuild without its source code think about that for a second. you ask how a feature works, and the agent starts tracing the actual implementation instead of guessing from documentation Ask → Inspect → Trace → Prove → Rebuild > ask: "how does search work in the Notes app?" • Inspect: REA opens the binary, app, APK or site locally • Trace: follows the feature from entry point to result • Prove: every claim is tagged observed or inferred • Rebuild: Claude writes your version and tests it AND THE WILD PART? one reported case rebuilt a function in C with 3,205 test cases passed and all 63 compiled bytes matching that's not just asking AI to explain code. that's using it to investigate what software actually does, then reproduce the behavior setup is one line: `npx rea-agents setup` + prompt send the GitHub repo + Claude Opus 5.5 setup to your Claude and see what you can reverse engineer then read the best Opus 5.5 prompt practices in the article below ↓

THIS IS PURE F*CKING PLATINUM Anthropic just shared a Claude Code setup that stops you from wasting expensive models on work cheaper ones can handle idea: let Sonnet write the code, Haiku handle the exploration, and Opus review the decisions that actually matter you just start Claude Code like this: `claude --model sonnet --advisor opus` here's how it splits: → Sonnet 5 runs the session and writes the code → Haiku 5.5 explores files and docs in parallel → Opus 5.5 stays on call as advisor for the big decisions → you stop burning Opus context on tasks that don't need it Opus only steps in at three moments: → before a plan locks → when the same error hits twice → before calling it done Sonnet builds. Haiku explores. Opus reviews. 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 full tree > Sonnet 5 runs the main session and edits code > search maps the repo on Haiku 5.5 > grep finds call sites on Haiku 5.5 > docs pulls the API reference on Haiku 5.5 > Opus 5.5 on call as advisor, reads the full transcript when consulted > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Reconfigure my Claude Code setup around this tree: 1. Run the main session on Sonnet 5 with Opus 5.5 as advisor. 2. Create three read-only Haiku 5.5 subagents: search (maps the repo), grep (finds call sites), docs (pulls the API reference). 3. Add one rule to CLAUDE.md: consult the advisor before locking a plan, after the same error twice, and before calling a task done. 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." ↳ code.claude.com/docs/en/advi… save it, it'll come in handy

people paying $4,000 for AI courses. this guy learned the same thing from a reddit thread with 3 upvotes he's 23, runs a one-person shop making $22k a month repurposing other people's content with AI the system: takes existing content, splits it into 6 formats, sells each format to a different client same source, 6 invoices - each client thinks they hired a full creative team workflow costs $11/month to run and takes 40 minutes nobody taught him this. he found it on a dead post from 2 years ago with almost no engagement same tools you already have, same models you already pay for - this is what nobody's building threads about because it's too simple to seem real people want a complex 12-step system. this is literally 3 steps and a free afternoon you've been one workflow away from this for months, maybe longer