Practical AI for work, content & online business. Testing tools, workflows and ideas. Sharing what works - and what doesn't
Czech Republic
Joined October 2026
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AI Workflow Lab retweeted
I gave AI a brief for a jet engine that takes itself apart. It came back as 455 parts, all built in code.
Click a button and the fan, compressor, combustor, turbine or nozzle slides out. At the end the whole engine flies apart on a turntable and snaps back together in under a second.
The full method is in the article below. Change the object in the brief and you get a new build.
AI Workflow Lab retweeted
A Chinese plant building AI servers for big tech assembles every unit in Blender first, and keeps finding screws nobody can reach
A design gets approved as a finished object, so nobody checks if the parts can actually go in one after another.
Claude takes the CAD, rebuilds the server in Blender and runs the assembly the way the line would:
> Order: every part goes in the sequence the line will use
> Reach: each tool path is checked against what's already installed
• What the dry run keeps finding
> A screw sealed behind a bracket that went in first
> A cable that only routes if the fan comes out
> A heatsink that needs three hands to seat
• What it changed on the floor
> The build order gets fixed before unit one, not unit one hundred
> Stations stop halting to call engineering
> New designs arrive with the sequence already proven
A full server goes through its virtual assembly in about seven minutes.
The worst one passed every design review and still stopped a line for two days.
One bracket had to go in before the screw it ended up covering.
A design that looks finished isn't the same as one you can build.
The whole dry run, part by part, is in the article below ↓
AI Workflow Lab retweeted
I asked Claude for a robot gecko that takes itself apart. It came back as 1,683 parts, every plate and toe written in code.
what you’re watching:
- it walks in, powers down and falls apart onto the floor
- the parts line up in rows and rebuild it one category at a time
- it swings its tail and opens its own skull to show the neural core
- it blows apart into a cloud of plates and snaps back together
- it grips the floor with all 20 toe pads, then runs off screen
Tokay geckos really do have 5 sticky toe pads on every foot, so I gave each one its own glowing part.
which animal should come apart next?
AI Workflow Lab retweeted
Fable 5.2 made a Japanese-inspired fps game in three.js on top of my sakura valley scene.
Less than 10mb html with no image or model files. Pretty nuts.
Inspiration: xitter.gq/Grummz/status/21202550…
My sakura scene: threeui.com/three-js/sakura-…
Fable 5.2 made this in 2.9 hours.
Everyone is doing this game challenge by @felixrieseberg. So I tried it myself (see vid).
Everything is built by Fable, all models, textures and sound, lighting etc. ZERO stock assets (with one obvious easter egg exception).
Mine took 2.9 hours and 30% less tokens using my Kun-Zhi engine to reach a comparable stage.
Could have saved more, but I used our Khorvis Blender plug-in to have Fable build the assets there which bumped token usage but improved textures and models.
He one-shotted his, mine took 2 stages (I had my effort on high and it quit early, so I told it to "make it more AAA with volumetric light effects" and raised effort to Extra).
The prompt: "Build me a FPS in the Kun-Zhi engine. Call it "Kun-Zhi-Line". Insanely detailed quality pls, something that looks visually like it can keep up with AAA. Make it small in scope (like a tiny level) but otherwise impressive photorealistic graphics."
While you can one shot simple games for web, using an engine like Kun-Zhi will greatly speed production, reduce costs, and produce a more robust, production ready game.
Kun-Zhi will be open source and available to Members in alpha state late Jan. Sign up for more info at KunZhiEngine.com
AI Workflow Lab retweeted
This animal eats by pushing its stomach OUT of its body🤯
No brain. No blood. Instead, it pumps seawater through its own body to move.
So I built one in code, on a dark glass stage. And you can poke it:
> 560 hydraulic tube feet that actually step and grip
> Touch an arm and it curls away
> Cutaway: see the water-powered “plumbing” inside, from the ring canal and radial canals to the digestive glands
> Feed it and it wraps a mussel in its own stomach
> Break off an arm and watch it grow back (time-lapse)
> Lights out: plankton glows wherever it moves
No 3D models. No textures. No animator. One HTML file.
Strangest animal I’ve built so far.
Your turn: the article in the comments shows exactly how to build your own creature. Drop what you made below 👇
AI Workflow Lab retweeted
You breathe about 22,000 times a day and never think about it. So I had Claude rebuild your lungs as a machine: 747 parts, all of them code.
The anatomy is real. The right lung has 3 lobes, the left has 2 and a notch where the heart sits, and 18 rings of cartilage hold the trachea open.
what you’re watching:
- the parts fly in from a flat pack and lock onto the stand
- the bronchial tree lights up from the trachea down
- it breathes at 15 a minute (a normal resting rate is 12 to 20), and the diaphragm drops on every inhale
- one breath in slow motion
- the plates open up so you can see the airways inside
At the ends of those branches sit about 480 million alveoli, which is where oxygen gets into your blood.
Which organ should I rebuild next?
AI Workflow Lab retweeted
holy f*ck, 2027 is coming for web designers and most of them have no clue
the people learning AI tools right now are pulling ahead. everyone else may end up fighting for work they never had to fight for.
7 GitHub repos every designer should save before it's too late:
1. Open Design
107k stars. a full AI design studio that runs on your own machine. give it a brief and your coding agent builds a prototype that follows your design system, then your team leaves feedback right on it
github.com/nexu-io/open-desi…
2. Impeccable
108k stars. gives Claude a design vocabulary. type /impeccable bolder the pricing cards and it knows exactly what to do. 62 rules catch AI slop before it ships
github.com/pbakaus/impeccabl…
3. HyperFrames
83k stars, made by HeyGen. your agent writes HTML, it renders a real MP4. animated intros and promos from one prompt, no editing app
github.com/heygen-com/hyperf…
4. designlang
point it at any website and it pulls the whole design system: colors, fonts, spacing, motion, hover states. one command, 17+ files, plus a "slop score" out of 100 for your own site
github.com/Manavarya09/desig…
5. Anatomy
26k stars. ask Claude to explain anything and it builds a moving isometric machine that shows how it works. dozens of shaded parts, it reacts to your mouse
github.com/wheresryan22/anat…
6. Figma Context MCP
16k stars. paste a Figma link, your AI reads the real layout data instead of guessing from a screenshot. way closer to the original on the first try
github.com/GLips/Figma-Conte…
7. video-shotcraft
18k stars. cinematic product promos straight from Claude Code. 124 shot recipes, 150 motion previews, cuts synced to the beat
github.com/Vincentwei1021/vi…
the cell in this video?
one person, Claude Code and a few tools from this list. no agency, no team, no After Effects.
want to build something like it?
like + save this post, comment "CELL" and I'll send you the exact prompt.
AI Workflow Lab retweeted
Two stick figures. One frozen lake. Only one of them walks away.
I asked AI for a stickman fight. What came back has actual fight choreography
→ a head-on clash that turns into a shoving match of sparks
→ a four-hit exchange, every strike blocked
→ a low sweep, answered with a flip right over the opponent’s head, in slow motion
→ a kick that sends him sliding across the ice until it cracks
→ one final crossing strike, a white flash… and a blade that flickers out
All of it is code. Every pose, every spark, the reflections in the ice, the aurora, the snow, even the sound: the hum of the blades, the clashes, the ice cracking.
No animator. No keyframes drawn by hand. No stock footage.
Built with Claude.
Who wins the rematch: white or red?
AI Workflow Lab retweeted
THIS IS ACTUAL F*CKING GOLD
Anthropic just shared one of the best tricks for Claude Code
The idea: run Sonnet, Haiku and Opus 5.5 together, each one doing only the job it's best at
claude --model sonnet --advisor opus
Sonnet 5.5 runs the session and writes the code. Opus 5.5 stays on call as an advisor and reads the whole transcript every time it's consulted.
opus-level judgment on the big calls, without paying opus rates for every routine turn.
claude decides when to ask. per the docs it usually happens at 3 points:
> before it commits to a plan
> when the same error keeps coming back
> before it calls the task done
add Haiku 5.5 subagents for the grunt work and you get the full tree:
> Sonnet 5.5: main session, edits code
> search on Haiku 5.5: maps the repo
> grep on Haiku 5.5: finds call sites
> docs on Haiku 5.5: pulls the API reference
> Opus 5.5: advisor, only at the decision points
anthropic's own numbers from the advisor launch: sonnet with an opus advisor scored 2.7 points higher on SWE-bench Multilingual than sonnet alone, and cost 11.9% less per task
paste this into Claude Code:
"set up my Claude Code like this:
1. main session on Sonnet 5.5, Opus 5.5 as advisor (advisorModel: opus in my user settings)
2. three read-only Haiku 5.5 subagents in .claude/agents/ (model: haiku): search maps the repo, grep finds call sites, docs pulls the API reference. tools: Read, Grep, Glob only, docs also gets WebFetch
3. one rule in CLAUDE.md: consult the advisor before locking a plan, after the same error twice, and before calling a task done
show me every change as a diff first. no edits until i say go."
AI Workflow Lab retweeted
give FABLE 5.2 a 3-view drawing and it sculpts your game boss in blender by code FOR FREE
380 steps and no 3d generator
> the only input was the concept sheet: front, side and back
> it blocked him out of boulders, grew root arms, a face and vines, then refit the silhouette 20 times
> front, side and back now match the drawing at 0.89 to 0.90 iou
> stone cracks, bark and moss are shader nodes, and the 7,701 plants are modelled and scattered by code
> 1,675 lines of python, about 32 minutes of fable time
try it with your own 3-view sheet, the full character pipeline from drawing to rigged model is in the article below
AI Workflow Lab retweeted
I asked Claude Opus 5.5 for a panda in plate armor. One HTML file.
The fur is 16 stacked shells. The belly is a soft body, poke it and it bounces back. The cape is pinned cloth that answers the wind slider.
Steel, bronze or obsidian armor. A wireframe view to see how it's built. And when he draws the sword, the blade lights up.
No Blender. No 3D models. Just code.
AI Workflow Lab retweeted
holy sh*t, juniors are f*cked...
someone asked Anthropic CEO Dario Amodei what a kid finishing high school should do right now
no sugarcoating:
"AI can do entry-level law work. it can do entry-level finance. it can do entry-level consulting.
AI will also eliminate jobs, and probably a large number of them"
junior law, junior finance, junior consulting... first in line
and he's put a number on it: half of entry-level white-collar jobs disrupted within 1 to 5 years
farms → factories → the internet. every shift before gave people time to catch up
this one cuts deeper and moves faster
chatting → prompting → agents → harness → loops → you run the AI
his advice: learn to use AI. but using it is the bare minimum now
the edge is a harness that runs it for you
every repo below is free:
→ ready-made Claude plugins for legal, finance, sales, HR and data
github.com/anthropics/knowle…
→ analyst-grade agents for models, memos and research notes
github.com/anthropics/financ…
→ skills for Excel, Word, PowerPoint and PDF
github.com/anthropics/skills
→ an agent that does financial research on its own
github.com/virattt/dexter
→ an agent that researches any topic in depth
github.com/assafelovic/gpt-r…
→ ask your spreadsheets and databases questions in plain English
github.com/sinaptik-ai/panda…
→ agents that work as a team, each with its own role
github.com/crewAIInc/crewAI
→ a harness with everything built in
github.com/langchain-ai/deep…
→ Anthropic's SDK for building your own agents
github.com/anthropics/claude…
→ a memory layer so your agents keep context
github.com/mem0ai/mem0
→ a loop that keeps the agent going until the job is done
github.com/snarktank/ralph
→ an agent that clicks through sites and fills forms for you
github.com/browser-use/brows…
→ drag-and-drop workflows for all the busywork
github.com/n8n-io/n8n
→ 18 free lessons on building agents
github.com/microsoft/ai-agen…
total cost: $0
AI won't take your seat... someone with a harness will
most people will keep sending résumés for work AI already does. the few with a harness will be the ones managing it
want to see what a real harness looks like?
an agent on its own cloud computer that takes apart any app, binary or protocol 24/7 and rebuilds it clean
the full setup is in the guide below ↓
