Opus 5.5 is insane for motion design...
send this one prompt to Claude Opus 5.5 and it stops answering like a chatbot
it writes 7 shots, animates every one of them, scores them in web audio and hands back a 45 second title sequence as a single index.html. no after effects, no plugins, no assets, no stock anything
studios quote $12,000 and 3 weeks for this. it ran in 11 minutes
replace the highlighted fields and paste it as is 👇
then read the full course on building a motion design studio with Opus 5.5 in the article below
Opus 5.5 is a one-person motion studio on steroids.
this 2-minute film + original piano score was made entirely with Opus 5.5.
no After Effects. no stock music. no assets.
Here's the full breakdown + prompt:
• 338 notes across 32 bars, composed by Opus
• the piano is synthesized live in Web Audio
• every one of the 598 windows lights up on a real note
• all of it lives in one index.html. Zero dependencies
The prompt:
> Create a single self-contained index.html: a ~2-minute animated short called "the last piano", in a hand-drawn crayon and watercolor style.
> Scene: a small rusty robot with one glowing eye walks through a dark, empty city in the rain and finds an old upright piano under a broken streetlamp. Later a black cat shows up to listen.
> Music: compose an original piano piece (Am - F - C - G) and synthesize it in Web Audio. It starts with one unsure note and grows into full chords.
> Sync: one timeline drives both. The robot's hands hit the keys that are actually sounding. Every note turns on a window in the city, the rain turns to snow, and the final chord lights up everything that's left.
> Rules: Canvas 2D only, no libraries, no external assets.
Run this prompt yourself, then read the full course on how to build a motion design studio with Opus 5.5 in the article below
Opus 5.5 is a one-person motion studio on steroids.
this 2-minute film + original piano score was made entirely with Opus 5.5.
no After Effects. no stock music. no assets.
Here's the full breakdown + prompt:
• 338 notes across 32 bars, composed by Opus
• the piano is synthesized live in Web Audio
• every one of the 598 windows lights up on a real note
• all of it lives in one index.html. Zero dependencies
The prompt:
> Create a single self-contained index.html: a ~2-minute animated short called "the last piano", in a hand-drawn crayon and watercolor style.
> Scene: a small rusty robot with one glowing eye walks through a dark, empty city in the rain and finds an old upright piano under a broken streetlamp. Later a black cat shows up to listen.
> Music: compose an original piano piece (Am - F - C - G) and synthesize it in Web Audio. It starts with one unsure note and grows into full chords.
> Sync: one timeline drives both. The robot's hands hit the keys that are actually sounding. Every note turns on a window in the city, the rain turns to snow, and the final chord lights up everything that's left.
> Rules: Canvas 2D only, no libraries, no external assets.
Run this prompt yourself, then read the full course on how to build a motion design studio with Opus 5.5 in the article below
Opus 5.5 is insane for motion design...
send this single prompt to Claude Opus 5.5 and it turns into a full launch film studio
then read the full course on building a motion design studio with Opus 5.5 in the article below
Opus 5.5 is insane for motion design...
send this single prompt to Claude Opus 5.5 and it turns into a full launch film studio
then read the full course on building a motion design studio with Opus 5.5 in the article below
10 GitHub repos with 650K+ combined stars ⭐ that stop your AI agent from burning through your subscription
1. caveman 108k⭐ - makes your coding agent talk like a caveman. Cuts 65% of output tokens, same code at the end. https://t.co/yA0V0z2mqf
2. rtk 82k⭐ - a tiny proxy in front of git, ls, tests and builds. 60-90% fewer tokens on every dev command. https://t.co/8u5mqagjHW
3. serena 30k⭐ - semantic code search and editing over MCP. Your agent reads the one function it needs, not the whole 3,000-line file. https://t.co/9l5ZCXdAkP
4. claude-context 13k⭐ - vector search over your whole codebase for Claude Code. Around 40% fewer tokens per task. https://t.co/rOJ3ELSKne
5. context7 62k⭐ - pipes fresh library docs into the prompt. No more 5 retries on an API that was deprecated last year. https://t.co/k3V6zPz9mB
6. mem0 66k⭐ - a memory layer for agents. Stops resending the full chat history every turn, up to 90% fewer tokens. https://t.co/2Co2ZJ6ukg
7. claude-code-router 37k⭐ - sends the grunt work to DeepSeek or a local model and keeps Opus for the hard part. https://t.co/LQCpsHe2TY
8. LLMLingua 6.7k⭐ - Microsoft's prompt compression. Up to 20x shorter prompts with the meaning kept. https://t.co/KX1ZplO967
9. litellm 60k⭐ - one gateway for 100+ models with hard budgets per key. Skip the $500/mo LLM gateway SaaS. https://t.co/ZiDRklJqcs
10. ollama 182k⭐ - runs Kimi, GLM, DeepSeek and Qwen on your own machine. $0 per token for everything that doesn't need a frontier model. https://t.co/3LYWC68aBc
Save this before your next agent session burns through your $200/mo plan 👇
10 GitHub repos with 650K+ combined stars ⭐ that stop your AI agent from burning through your subscription
1. caveman 108k⭐ - makes your coding agent talk like a caveman. Cuts 65% of output tokens, same code at the end. https://t.co/yA0V0z2mqf
2. rtk 82k⭐ - a tiny proxy in front of git, ls, tests and builds. 60-90% fewer tokens on every dev command. https://t.co/8u5mqagjHW
3. serena 30k⭐ - semantic code search and editing over MCP. Your agent reads the one function it needs, not the whole 3,000-line file. https://t.co/9l5ZCXdAkP
4. claude-context 13k⭐ - vector search over your whole codebase for Claude Code. Around 40% fewer tokens per task. https://t.co/rOJ3ELSKne
5. context7 62k⭐ - pipes fresh library docs into the prompt. No more 5 retries on an API that was deprecated last year. https://t.co/k3V6zPz9mB
6. mem0 66k⭐ - a memory layer for agents. Stops resending the full chat history every turn, up to 90% fewer tokens. https://t.co/2Co2ZJ6ukg
7. claude-code-router 37k⭐ - sends the grunt work to DeepSeek or a local model and keeps Opus for the hard part. https://t.co/LQCpsHe2TY
8. LLMLingua 6.7k⭐ - Microsoft's prompt compression. Up to 20x shorter prompts with the meaning kept. https://t.co/KX1ZplO967
9. litellm 60k⭐ - one gateway for 100+ models with hard budgets per key. Skip the $500/mo LLM gateway SaaS. https://t.co/ZiDRklJqcs
10. ollama 182k⭐ - runs Kimi, GLM, DeepSeek and Qwen on your own machine. $0 per token for everything that doesn't need a frontier model. https://t.co/3LYWC68aBc
Save this before your next agent session burns through your $200/mo plan 👇
Opus 5.5 just made GPT 6 Astra look like a toy
One prompt. One shot. Zero edits. Prompt below
3D particle fields, kinetic type, cuts synced to the beat, 60fps
31 minutes of reasoning. $4.20 in tokens
A studio quotes $3,000 and 3 days in After Effects for this
OpenAI just doesn't have taste
Full prompt + setup in the reply ↓
prompt: "Make this even more insane and futuristic, with such intricate details that when I watch it, it feels like 'damn, what have they done, it's like we had Adobe do it'"
Opus 5.5 just made GPT 6 Astra look like a toy
One prompt. One shot. Zero edits. Prompt below
3D particle fields, kinetic type, cuts synced to the beat, 60fps
31 minutes of reasoning. $4.20 in tokens
A studio quotes $3,000 and 3 days in After Effects for this
OpenAI just doesn't have taste
Full prompt + setup in the reply ↓
Your AI agent says "done" on tasks it quietly failed
Researchers just tested Claude, DeepSeek, Qwen and GLM agents across 265 matched runs to find what actually stops it. I kept the 6 numbers that matter
It's not the planner
It's a read-only checker that costs under a cent per run and caught 61% of the fake "done" reports
The full plan + verify stack costs 7x more for almost the same protection
All 6 are in the video
Save this before you pay for another layer on your agent 👇
Your AI agent says "done" on tasks it quietly failed
Researchers just tested Claude, DeepSeek, Qwen and GLM agents across 265 matched runs to find what actually stops it. I kept the 6 numbers that matter
It's not the planner
It's a read-only checker that costs under a cent per run and caught 61% of the fake "done" reports
The full plan + verify stack costs 7x more for almost the same protection
All 6 are in the video
Save this before you pay for another layer on your agent 👇
spacexai engineer (ex-cursor):
"99% of people still open a new chat for every task
we started with an empty github org and zero bots. 72 hours later a chief of staff bot runs our entire company - hiring, research, shipping to main, even at 2am while we sleep"
in a 52-minute livestream, 3 spacexai engineers build a grokbot company from nothing and hire their first agent team live
worth more than a $500 course on agent teams
bookmark it and watch today before it gets buried in your feed
spacexai engineer (ex-cursor):
"99% of people still open a new chat for every task
we started with an empty github org and zero bots. 72 hours later a chief of staff bot runs our entire company - hiring, research, shipping to main, even at 2am while we sleep"
in a 52-minute livestream, 3 spacexai engineers build a grokbot company from nothing and hire their first agent team live
worth more than a $500 course on agent teams
bookmark it and watch today before it gets buried in your feed
SpaceXAI engineer Lauren Tan:
"I woke up this morning and 20 PRs had already landed on main
I just reviewed them, they were already good, nothing to fix"
In a 55-minute webinar, she breaks down the loop that got her from watching every single output to this
Verification → Evals → /loop to 10/10 → Autonomous merges
Most people are still the bottleneck standing between their agent and the merge button
Worth more than 95% of paid agent engineering courses
Bookmark it and watch it before your competitors do