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We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all. I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand. Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.

grok plugin marketplace add 7etsuo/write-legible-c grok plugin install write-legible-c --trust Grok Build with Grok 4.5 is producing the most beautiful C I have ever seen come out of a model. Every function under 25 lines with one job. Nesting never past depth 2. Zero naked literals. Every failure greps to a single producing line and the happy path runs straight down the left margin. Code you can read at 2am with the pager going off. It took a standard to get there. I shipped it as a Grok Build plugin. write-legible-c gates Grok with strict C11 machine legibility every time it touches a .c or .h file. Every function is an orchestrator, a leaf, or an adapter, never a mix. A TRY macro that makes the forgotten check bug impossible to hide. An 18 item checklist the model runs before it shows you code. Clean code is a performance feature too: rewrites that cut model perceived complexity lift LLM task performance by up to 21 percent. Full 18 section standard inside.

这个技巧很棒啊啊，学到了 herdr 装了这个 skills 以后 harness 之间可以互相召唤 互相指挥 而且全部是真实终端 pane 不是 headless 的 会真实 split 出一个新的 pane 随时能点进去看 打断或者接手 最后主 agent 主动去读其他 pane 的输出 agent wait / pane wait-output 然后自己做综合 继续协调还是怎么做 简单试了一下 GPT5.6 SOL 去 orchestrator 用 herdr 开多个 pane 分别启动不同模型的 agent 分配任务 并行干活 再汇总

holy opus 5... 🤯 At first I was VERY disapointed, the model is ridiculously slow and the output was not impressive. i was using it WRONG. fable 5 can take a shit prompt and give you gold, but it will also burn all your tokens. opus is the opposite. use loops, graphs, reviewers, orchestrators, and agents working in parallel. ( this subway surfers game took over 3 hours ) Your output will be 10x better. The crazy part is, even with all these agents working together I have PLENTY of usage left on my first claude plan. The skill ceiling is insanely high, if you put time into a good agentic engineering strategy you can achieve BETTER output than fable. Opus 5 is a true daily driver.

In 2022, @ashtom predicted AI would write 80% of code within five years. He was wrong. It took three. His next five years: developers conducting an orchestra of agents. And most of what you build never has to ship. cc @EntireHQ

This is literally my new workflow now: Realtime Research → Grok 4.5 Planning & Orchestration→ Fable 5 Day-to-day Coding/Debug → Grok 4.5 Write & Run Tests → Grok 4.5 Complex Coding/Debug → GPT-5.6 Sol Frontend → Fable 5 Bookmark this

A guy pulled $62,000 on YouTube last month without opening a browser. Claude Code opens it for him. He points Claude Code at his script and lets it walk through the workflow. Open Higgsfield. Generate 38 images matched to the timestamps. Save each one under the exact second it belongs in the video. Grab the transcript from TurboScribe. Drop everything in a folder. Done before he refills his coffee. Most people do YouTube automation backwards. Sign up for a tool. Copy prompts from a template. Wonder why it flopped. He does it the other way around. Write the script first. Let Claude Code drive whichever tool the script needs. Higgsfield for stills. TurboScribe for the transcript. Nano Banana for the covers. Every asset lands pre-labeled and ready to cut. The tools are not the moat. The orchestration is. AI made every content tool cheap. It did not make one workflow smart. That still comes down to knowing which tools stack and in what order. The next wave of YouTubers will not win by trying every new AI toy. They will win by writing the pipeline once and letting it print for a year.

𝗪𝗲 𝗸𝗲𝗲𝗽 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗔𝗜. 𝗜 𝘁𝗵𝗶𝗻𝗸 𝘄𝗲'𝗿𝗲 𝘂𝗻𝗱𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻. China recently set a Guinness World Record by coordinating 11,787 drones in a single performance. The record is impressive, but it wasn't the number that caught my attention. It was the fact that thousands of independent systems behaved as if they were one. That feels like a much bigger story. For decades, organizations created value by making individuals more productive. AI is changing that equation because the next leap in performance won't necessarily come from smarter people or even smarter tools. It will come from designing systems where thousands of decisions happen in harmony instead of in isolation. 𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 𝘄𝗼𝗻'𝘁 𝗯𝗲 𝘁𝗵𝗲 𝘀𝗺𝗮𝗿𝘁𝗲𝘀𝘁 𝗔𝗜. 𝗜𝘁 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁-𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲𝗱 𝗔𝗜. That's why I believe orchestration is becoming one of the defining management skills of this decade. Whether we're coordinating people, AI agents, or autonomous machines, the challenge is no longer individual intelligence. It's collective intelligence. 𝗧𝗵𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝘄𝗶𝗻 𝘄𝗼𝗻'𝘁 𝘀𝗶𝗺𝗽𝗹𝘆 𝗱𝗲𝗽𝗹𝗼𝘆 𝗺𝗼𝗿𝗲 𝗔𝗜. 𝗧𝗵𝗲𝘆'𝗹𝗹 𝗱𝗲𝘀𝗶𝗴𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘄𝗵𝗲𝗿𝗲 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝘃𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. When you look at your organization today, is your biggest opportunity hiring smarter people, adopting smarter AI, or orchestrating what you already have more effectively? #HumanAgentOrchestrator# #OrchestrationDesign# #AgenticAI# #AIReadiness#