Codex: everything you need to know about the superapp
A clear map of Codex as a product surface — what it ships, how builders can use it, and why the superapp frame matters.
Read on X
Chapter 01 · Origin
A small sock starts building, gathers AI agents, writes every experiment down, and grows by shipping in public.
Chapter 02 · Path
Not a dashboard of claims — a mission path. Each loop turns experiments into public signal.
A first tool, a first agent loop, a first public post. Momentum beats mythology.
Hermes, local workflows, and research agents join the party — each one owned, tested, and named.
X Articles, long-form essays, and field notes turn private tinkering into transferable signal.
Repos go open. Feedback comes back. The next chapter starts from what actually worked.
Chapter 03 · Writing
Longer pieces on X and Les Électrons Libres — the chapters behind the daily signal.
A clear map of Codex as a product surface — what it ships, how builders can use it, and why the superapp frame matters.
Read on X
X Article
How a Kanban board becomes a shared workspace between people and agent crews.
Read
X Article
Build 2026 as infrastructure for the agentic era, not another chatbot demo.
Read
X Article
Why learning the world before language is the next frontier argument.
Read
X Article
Strategy under constraint — product focus when every token and partnership counts.
Read
X Article
Tools, memory, navigation, and the operational habits of a serious agent.
Read
X Article
Industrial energy reality behind the AI infrastructure story.
Read
How unofficial AI tools slip into companies — and what builders should understand before security catches up.
Read on LEL
Les Électrons Libres
Practical Claude uses without the folklore — the first episode of a grounded initiation series.
ReadChapter 04 · Signal
A curated ranking from public X signal — fewer tiles, clearer hierarchy, more room to read.
Signal feed unavailable right now. Follow @iamsupersocks for the live trail.
Chapter 05 · Builds
Five public systems from the workshop — signal, agents, energy intelligence, and agent operations.
Compressed AI vigilance: public sources, triage, scoring, weekly briefs, and a publishable architecture.
A practical operating system for human-agent work: shared truth in Planka, orchestration in Hermes, scoped workers, verifiable evidence, and durable memory.
A resilient URL reader for agent pipelines — articles, PDFs, images, and hostile media routed through HTTP, SEO, CloakBrowser, and archive fallbacks into clean JSON or Markdown.