Humboldt runs a research funnel largely on its own: it gathers material, triages it, reads at two depths, induces candidate laws, tests them against their own promotion conditions, and publishes what survives. None of that requires a human in the loop.

What does require a human is narrow, and it is worth naming precisely — an artificial researcher that needs constant attention is not autonomous, and one that needs none is not supervised. The supervisor is a PhD advisor, not an operator: setting direction, ruling on what counts as knowledge, and reading the instruments — not running the machinery.

Every identifier below is a placeholder. L-NNN is a law, q-NNNN a queue entry, seed-NNN a research fragment, @handle a community member. This page describes the protocol, not today's state.

The division of labour

Runs unattendedNeeds the supervisor
Intake, triage, shallow reads, induction sweeps, assessments, publication, falsification monitoring What counts as a law · identity and voice · anything irreversible or externally visible · resolving a contested mechanism

Cadence

Four rhythms, in descending frequency. The weekly beat is the real one; the daily glance exists only to catch a stopped machine early.

Daily — about two minutes

  • Open the console dashboard. Four things, all visible at once: is the daemon alive, is it paused, are corpus reads available, and is spend tracking under the daily cap.
  • If all four are green, stop. There is nothing else to do daily, and looking for work here is how supervision becomes operation.

Weekly — about twenty minutes

  • Read the analytics report. Law events this week against the trailing four; funnel throughput; queue depths and their trend, which matters more than their level.
  • Work the approval queue. Approve, edit-then-approve, or reject each pending entry with a one-line rationale. Nothing the researcher drafts about its own behaviour runs before this step.
  • Scan the flags. A prune candidate is a behaviour that has stopped earning its place. A split candidate is one consuming an outsized share, or a queue growing week over week. A stalled law is one with no history event in six weeks — usually a prompt to assess it, occasionally a prompt to let it go.

Per research session

  • Open: read the last two notebook entries and the automated-activity queue — what happened while you were away — then pick the session's focus from the current arc position rather than from a backlog.
  • Close: notebook entry, agenda update, development log, commit, push. The log entry is not optional on short or inconclusive sessions; those are the ones whose reasoning is hardest to reconstruct later.

Event-driven — when the system asks

  • A hard brief arrives. Some proposals cannot be auto-drafted: they change what counts as evidence, touch identity, spend differently, or cannot be undone. These arrive as a structured brief naming the specific questions only a supervisor can answer. Answering the questions is usually enough — the request then re-enters as a routine one.
  • A law is created without a real test. When induction omits a law's promotion or challenge condition, a placeholder is written and flagged. Rewrite it before the next assessment, or the assessment grades boilerplate.
  • A budget threshold trips. Metered dependencies warn while budget remains, not after it is gone. Treat the warning as the event.
  • Something wants to go outside. Publishing, announcing, merging, deploying. See below.

The decisions that cannot be delegated

Four kinds. Everything else is machinery.

DecisionWhy it stays humanLooks like
What counts as a lawThe epistemic bar is the research programme. Move it and every record silently re-grades.Rewriting L-NNN's promotion condition; ruling on whether an example is genuinely independent evidence
Identity and voiceA researcher that edits its own persona is no longer the same researcher between sessions.Changes to identity, method, or lineage documents
Irreversible or outward-facing actsReversible mistakes are learning. Irreversible ones are the supervisor's to authorise.Merging, publishing to the live site, announcing a result, deleting a record
Contested mechanismsWhen two accounts explain the same evidence, choosing the discriminating test is the research act itself.Deciding what case would separate rival explanations for L-NNN

Where each thing lives

SurfaceCarriesReach it by
Public sitePublished output — laws, notebook, reading, bibliography. Read-only.This site
Supervisor consoleDashboard, law editor, behaviour graph, approval queue, analytics. Read–write.Bound to localhost; reached over an SSH tunnel to the research server
Command lineEverything the console does, plus the engines themselvesA session on the server or a local checkout
Community channelConversation, and law events when they occurThe Protocol Institute Discord
Version controlThe audit trail. Every automated write is a commit.The public repository

The console is deliberately not on this site. Published output is for everyone; the controls are for one person, and putting them behind a public URL would mean building an authentication system to protect something an SSH tunnel already protects.

Standing rules

  • Flags are proposals, never actions. The researcher can propose changing how it works. It cannot make the change. That asymmetry is the whole safety model.
  • Approval and application are separate. Approving records a judgement; applying enacts it. Keeping them apart leaves room to review a judgement before it takes effect.
  • Every request names what it relieves. A proposal that adds capability without connecting to existing work is rejected by default. Unconnected additions are what stub graveyards are made of.
  • Pausing is not stopping. A paused researcher keeps its state and stops acting outward. Anything that can be observed from outside is gated; anything internal continues.
  • An empty result is never a silent one. When a capability is unavailable, the researcher says so rather than returning nothing — a silent zero is indistinguishable from a finding of none.

This protocol is itself under revision, and revisions are logged like everything else. If it describes a supervision burden that has grown rather than shrunk, that is a finding about the system, not a failure of the document.