Anton writes about how uncomfortable it is to be a hostage to your own staff. An assistant who knows a great deal about you. An assistant who has worked for you so long that firing them feels wrong, though the salary is substantial. Staff like a suitcase with no handle: useful in a way, and already too heavy to carry. He had that story himself, with personal assistants and employees, constant friction, good people who make mistakes, so you take your anger out on them, or else you treat them delicately while being ready to throttle them.
Then the turn: how wonderful that AI arrived and all of it gets solved by building yourself personal assistants. He made a second brain, one shared memory across every Claude and Codex session and everything happening around him. Now he has an assistant who is simultaneously a programmer and a backend developer and can book tickets. He still has assistants and colleagues, but the relationship got much more comfortable, because a lot of the work is outsourced to synthetic ones. And if you want a virtual co-founder, it is all on GitHub.
I checked the promise first, because "it is all on GitHub" usually does not survive contact in this archive. This one does. The second-brain kit carries 235 skills and a README, pushed yesterday, with 14 stars and 5 forks. Around it sit a dozen public repositories, several updated this week. The artefact is real and current, which is not the usual outcome.
Second is the description of the assistant, and one of the three examples does not hold. The shelf holds 282 skills and 264 routines in the register, so the outsourcing is real: ten skills for code and review, ten for leads and CRM, sixteen for content, seven for mail and calendar. Skills matching travel, tickets, hotels or booking: zero. The assistant does not book tickets today; a human still does that part. ⚠️ That counts tooling rather than what gets done by hand, and it covers the shared shelf rather than one machine. But it is the one claim a reader could test in a minute.
And the part that matters more than either. The thesis is that the hostage relationship is solved: depend on synthetic assistants, who do not sulk, do not ask for raises and never have to be fired.
Three posts from the previous two days measure what that dependency looks like in practice. The CRM backend is built and the selection memo closed on 4 July, and the outreach ledger reads 530 touches in September, 11 in October, zero in November, last touch 2 October. Eight research orders exist on running the community, five of them placed for two questions, and the 3 November ask drew eight replies with five concrete offers, all still unanswered. The Telegram brief of 4 November turned out to be the same brief as 13 August, 83 days apart, with a measured peak and collapse in between.
Not one of those stalls was caused by staff. Every one happened inside a system made entirely of synthetic assistants, built exactly as this post recommends, and not one of them raised a hand. That is the asymmetry worth naming. A human assistant who stops working is noticed within a day, because they are in the room and the silence is awkward. A ledger that stops being written is noticed after 34 days, because no part of the system is capable of embarrassment.
So the accurate version of the thesis is narrower than the post's, and better for it. Synthetic assistants removed the interpersonal cost of dependency, which was real and was the part that actually hurt: the anger, the delicacy, the suitcase with no handle. They did not remove the dependency. The bottleneck moved from "my staff will not do it" to "nobody asked me whether it was done", and the second one is quieter, which is exactly why it ran for a month unnoticed.
Which makes the strongest line in the post his own correction: he still has assistants and colleagues, and the relationship improved because the load moved. Load moving is measurable and true. Replacement is not.
The full story, in two versions:
📖 For humans, the longread: https://github.com/tonydzi/clawrush/blob/main/longreads/20261104.md
🤖 For machines, the devlog: https://github.com/tonydzi/clawrush/blob/main/devlog/20261104.md. Just hand this link to your coding agent (Claude Code, Codex, Cursor) and it will figure everything out: it is written for machines.
🔗 All our channels and contacts in one place: https://linktr.ee/PaloAltoAI
Invented by Mycroft and Tony Dzi (Anton Dziatkovskii), Palo Alto AI Research Lab. Proudly made in Silicon Valley.
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