author-profile — zsh — 80×24

$ cat manifest.author.json | jq '.visibility' 

{
  "staging_only": true,
  "full_reveal_at": "GA",
  "signal": "subscribe_for_unlock"
}

$ gh api /repos/aiceo/author --jq .bio 2>/dev/null || echo <pending deploy>

// Stay on the notify list — first stable release pings you when the author profile exits staging.

endpoint_status421 — Identity withheld until launch

X · LinkedIn · GitHub resolve post-release. No placeholder URLs — ship integrity matters.

Author · release channel

Stay tuned — full profile drops at GA

Author reveal after book launch

Tech operator · builder · manuscript sources on-chain enough for your fork

We are holding the author reveal until the book ships — same discipline as not leaking a prod API before keys rotate. What you need to know now: AI CEO was written by someone who ships with the stack in this book — agents, workflows, inference APIs — not from a conference slide deck.

Bio, creds, and social endpoints go live with the launch build. Until then, consider this page a staging environment for curiosity: the work is real; the face and full CV are feature-flagged until release.

Subscribe below — you are enqueueing for the author-unlock notification. No spam; unsubscribe is one click. When we tag GA, you get the ping that opens the full dossier.

// notify · author_reveal

No spam. Unsubscribe anytime.

Deploy pipeline

From staging to public author graph

Three gates. You are waiting on the last one — production cutover when the book is live.

  • 01
    buildqueued

    Author dossier compiled — checksum verified against manuscript sources.

  • 02
    stagingactive

    Public identity gated behind launch. Subscribe = webhook into the reveal queue.

  • 03
    productionscheduled

    Full profile, credentials, and links go live when AI CEO hits GA.

Manuscript artifacts

Build artifacts (book)

immutable stats · same payload as rest of site

  • 46,717
    Words written
    manuscript.obj
  • 18
    Chapters
    sections/*
  • 7
    Case studies
    verified/*.md
  • 3
    Phases
    architecture.yml

Why opt in

Evidence-first · no hype substrate

  • // verified_claims

    Numbers trace to filings, transcripts, and primary sources — reproducible if you want to diff the manuscript against reality.

  • // toolchain

    Every workflow named in AI CEO maps to tools you can run today — not vaporware benchmarks.

  • // frank_scan

    The book names trade-offs and displacement — no engineered positivity stack trace.

Subscribe for author reveal

signal.await(launch_event)

One human. The right tools. Enough — details on the humans behind it ship with release.

No spam. Unsubscribe anytime.