> ## Documentation Index
> Fetch the complete documentation index at: https://docs.toorow.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What toorow Says When Nobody Asked

> The rules a claim must satisfy when the product volunteers it — provenance, derived confidence, disclosed silence, and no invented causes.

Most of toorow answers questions. Three surfaces do something else: they make a
claim nobody requested.

* the **nightly briefing** behind `get_daily_report` — what changed since
  yesterday, and what is worth looking at;
* **anomaly detection** — this value is outside its own recent behaviour;
* the **daily insight** — a model-authored reading of the day, with a
  recommended action.

That changes the burden of proof, and everything on this page follows from it:

> When a person asks a question, a wrong answer is a wrong answer. When the
> product volunteers a claim, a wrong claim is **also an interruption the person
> did not choose** — arriving with the authority of having been selected as worth
> saying.

***

## It never invents a cause

A correlation observed in the data is not an explanation. Where no governed
context event covers the window, the assertion says *context missing* and stops.

A context event may name the metric it concerns. When it does, a claim about a
different metric will not quote it — and a claim that could not compare says so,
rather than treating "no metric named" as a match.

***

## Every claimed number carries its provenance, and an absent one is not zero

A figure in a proactive claim carries the pull that produced it and how fresh it
is. A measure that was not collected is reported as absent — never rendered as
`0`, which is a value somebody could act on.

A comparison names **both** of its terms. "Up 12%" without saying against what is
not a comparison.

***

## Silence is a state, and it is disclosed

A detector that cannot yet fire is not a quiet detector — it is an absent one,
and the surface says so.

A z-score computed over a window that includes the point being tested cannot
exceed `(n−1)/√n`. With the default threshold, that makes the detector
mathematically unable to fire below **eleven** observations, and unable to reach
the `error` severity below **twenty-seven**. The bound is derived from the
configured threshold, not hard-coded: move the threshold and the number moves
with it, on every surface that discloses it.

So a project with nine days of history is not told "no anomalies". It is told
the detector cannot speak yet.

***

## Confidence is derived, never self-declared

A confidence level chosen by the author of a claim measures nothing — and that
applies to a model exactly as it applies to a person.

An insight names its evidence, and the publication gate refuses a reference the
server did not measure for this project over this window. Confidence is then
computed from **the rows carrying the members the claim actually cited**,
restricted to the insight's own period — not the project's rows at large:

| Term         | What it measures                                                                  |
| ------------ | --------------------------------------------------------------------------------- |
| Completeness | The share of the cited members the server measured over the insight's own period. |
| Freshness    | The stalest contributing source decides.                                          |
| Provenance   | The share of supporting rows carrying a pull identifier.                          |

The reading is the **band of the limiting term** — never a blend. Completeness
cannot buy back staleness. And `unmeasurable` is a legitimate reading, not a
level: an insight whose evidence cannot be scoped says so instead of scoring
itself.

***

## Model-authored prose carries one marker

Where a model wrote the sentence, the surface says so — once, not on every
clause. Cited data carries no marker, because the data was not authored.

A proactive claim stays a **springboard, never a verdict**: it points at
something worth opening, and the opening is where the answer is defended.

***

## Publishing, retracting, and leaving the platform

| Act                  | What the platform does                                                                                                                                                                                   |
| -------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Publish**          | The insight is persisted with its evidence references, each one checked against what the server measured.                                                                                                |
| **Retract**          | An audited transition, never a deletion. What was said stays readable as having been said, and withdrawn.                                                                                                |
| **Share externally** | Refused by default. Sending an assertion outside the platform needs the project capability **and** a confirmation by a *second* role holder — the requester and the confirmer cannot be the same person. |

Over MCP: `get_daily_insight_readiness` says whether there is anything worth
publishing, `preview_daily_insight` composes it, `publish_daily_insights`
publishes it, and `retract_daily_insight` withdraws it.

***

## Next Steps & Cross-References

<CardGroup cols={2}>
  <Card title="Anomaly Detection" icon="chart-line" href="/anomaly-detection-method">
    The z-score method, its baseline window, and the bound behind the disclosure.
  </Card>

  <Card title="Agentic Daily Insights" icon="sparkles" href="/agentic-daily-insights">
    The nightly run that produces the claim.
  </Card>

  <Card title="Agent Rules" icon="scroll" href="/agent-rules">
    Rule 5: context events are candidates, never causes.
  </Card>

  <Card title="Renders, Dossiers and Sharing" icon="share-nodes" href="/renders-and-sharing">
    The same two-person rule, applied to a figure leaving the platform.
  </Card>
</CardGroup>
