The Bottleneck Dissolved
A follow-up. Nerve runs now. Feels like a superpower.
Two-week follow-up on The Nerve. Results first. I have several projects running in parallel now — the scale matters more than the list, so I’m skipping specifics — all on a single $200 Claude Max plan. Two outcomes worth pulling out:
(1) KPI-driven pushes actually work. The orchestrator watches the worst row and dispatches on it on its own. The number moves.
(2) My own hands-on time dropped hard. I’m mostly out of the daily loop. Below is the recipe.
Nerve is pure scripts. Hard-coded rules. The agent just calls the CLI. Simpler logic means less agent thinking. A complex one-shot flow—check KPI, read the Delta (Δ), dispatch, verify, fire the TG ping—becomes one script. One or two batch commands run the whole chain. When something breaks, fix the script first. Not CLAUDE.md. Not memory. Those drift. The script is the asset. Swap Claude for another model tomorrow, the system still runs.
The orchestrator’s game is the loop. A single line in the prompt changes everything. This is the current wakeup prompt:
Action (every wake):
1. `nerve recap` + `nerve board daily` → read top pick + KPI Δ
2. **Push top pick**: dispatch to owner pane, even incremental work
3. No top pick → pick the worst KPI row, unblock / double down
4. Truly nothing to do + all workers busy → sleep. Schedule a purposeful next wake before sleeping.
5. Need something from user → `nerve user-ask add "title" --tag X` to queue. Don’t shout in chat.
Plus a post-compact rule. Behavior drifts hard without it.
The unexpected upside is tokens. When I was in the loop, my own context would drift — I’d forget what I’d been doing five minutes earlier — and my decisions came out low-quality, mostly unhelpful. That forced the AI into rounds of re-clarifying, re-answering, re-explaining. That’s probably where most of the token burn was. Pull the human out of the loop, the cost disappears.
I barely dent the $200 Max Plan anymore. Running an orchestrator isn’t new — any hierarchical-agent system has one. But mine sits entirely inside the plan. And it scales. I can run several. An orchestrator can have orchestrators. As long as the tokens hold, $200 moves a lot of weight. It’s like a superpower now — which is why I’m building a big thing.
Core thesis unchanged: your ceiling isn’t how smart the AI is — it’s whoever’s driving it. Long-held view. Used well, it’s a lever that moves everything.
The bottlenecks I wrote about in The Bottleneck Moved and Wetware Upgrade are gone. Wetware is no longer the constraint. I distilled my own logic into the orchestrator. It took over the part of my brain that was frying. My head is clearer now.
瓶颈都没了
一个 follow-up。Nerve 跑起来了。感觉像个 superpower。
给The Nerve 那篇的两周 follow-up。先讲结果。我现在有好几个项目在并行跑,规模不小(具体是哪些先不展开),全部挂在一个 $200 的 Claude Max plan 上。两个最值得拎出来讲的结果:
(1) KPI 推送效果很好,Result 非常强。Orchestrator 自动盯 KPI 最差那条去 push / unblock / 加码,数字是真的能被推动的。
(2) 我个人插手管理的时间减少了很多。基本不用待在每日 dispatch 的 loop 里。下面讲 recipe。
现在 nerve 纯依赖脚本,脚本写死规则,让 agent 调用 CLI,逻辑越简单越好,给 agent 减少认知负担。比如说有一些比较复杂的逻辑,那“一条龙”流程下来,既要看 KPI,又要看 Delta,然后还要做 dispatch。Dispatch 完了还要负责验收,验收完之后还要发 TG 消息。这一整套流程全部通过脚本实现,只需要执行一两个 batch 命令就可以全部完成。出问题时第一优先级就是改脚本,不会通过什么 CLAUDE.md 或者 memory 去改这些 — 说实话,这些东西都很不稳定。时间长了,这个脚本实际上就是沉淀下来的资产。以后套用其他任何模型其实都能跑,不需要依赖这个 Claude。
Orchestrator 重点在 loop 怎么设置,一行提示词差异都差很多。目前的 wakeup prompt:
Action (每次必做):
1. `nerve recap` + `nerve board daily` → 看 top pick 和 KPI Δ
2. **主动推 top pick**: dispatch 到 owner pane, 哪怕增量工作
3. 无 top pick → 挑 KPI 最差那条主动 unblock / 加码
4. 真没事做 + workers 全 busy 才 sleep. Sleep 前先 schedule 下次有目的的 wake.
5. 需要用户做什么 → `nerve user-ask add "title" --tag X` 入队, 不在 chat 喊.
一定要有 post-compact 规则,不然会漂移得很厉害。
意外的收获在省 token。之前人本身在 loop 里,我自己的上下文会丢(我会忘了之前在干嘛),给出的决策质量都很低,没起到任何帮助 — 反倒让 AI 反复去澄清问题、回答问题,不停地解释。这很可能就是省 token 的一个很重要的原因。人撤出 loop,这块开销就没了。
现在 $200 Max Plan 基本上很难用得完。Orchestrator 打通其实也不是什么新鲜事 — 其他有 hierarchy 的 agent 都有。但我这个是在 $200 的 Max Plan 里面全包的。未来的 integration 还可以有很多:我不光可以只有一个 orchestrator,我可以有几个,甚至 orchestrator 还可以有 orchestrator。只要 token 够,$200 可以撬动非常多的能力。It’s like a superpower now — 也是为什么 I’m building a big thing。
核心观点没变:你的上限不取决于 AI 多聪明,取决于用它的人。这是我长期的看法。用得好,它就是一根能撬动一切的杠杆。
有点感慨 — 之前博客里提到过的那些瓶颈(瓶颈转移了、Wetware 升级),其实都解决了。Wetware 升级现在也不是我的瓶颈了。用一个 Orchestrator 把自己蒸馏了就替代了,我现在精神状态比以前好很多。