> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cf0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Lab

> Lab is where you ask. Plain English in, streaming charts and tables and cited paragraphs out. Every figure traces back to source data.

Lab is where the research happens — the surface an analyst goes to when there's a question. Type it in English, get back structured analysis: chart, table, narrative, with citations on every number. No template to fill, no dashboard to build, no formula to write. Lab picks the UI the answer needs and renders it inline.

```mermaid theme={null}
%%{init: {"theme": "base", "themeVariables": {"primaryColor": "#1d4ed8", "primaryTextColor": "#ffffff", "primaryBorderColor": "#172554", "secondaryColor": "#ffffff", "tertiaryColor": "#fafafa", "lineColor": "#52525b", "textColor": "#18181b", "mainBkg": "#1d4ed8", "secondBkg": "#ffffff", "clusterBkg": "transparent", "clusterBorder": "#e4e4e7", "edgeLabelBackground": "#ffffff", "labelTextColor": "#18181b", "actorBkg": "#1d4ed8", "actorBorder": "#172554", "actorTextColor": "#ffffff", "actorLineColor": "#52525b", "signalColor": "#52525b", "signalTextColor": "#18181b", "labelBoxBkgColor": "#1d4ed8", "labelBoxBorderColor": "#172554", "noteBkgColor": "#fafafa", "noteTextColor": "#18181b", "noteBorderColor": "#e4e4e7", "messageTextColor": "#18181b", "sequenceNumberColor": "#ffffff", "fontFamily": "Inter Tight, -apple-system, sans-serif", "fontSize": "13px"}}}%%
graph LR
  Q["Question<br/>plain English"] --> P["Lab parses<br/>+ plans"]
  P --> D[("SEC + global filings<br/>+ docs<br/>+ integrations")]
  D --> A["Streaming answer<br/>chart · table · prose"]
  A --> C["Citations<br/>on every figure"]
  A --> R["One click → PDF<br/>(Reports)"]

  classDef io fill:#ffffff,stroke:#d4d4d8,color:#18181b
  classDef step fill:#1d4ed8,stroke:#172554,color:#ffffff
  classDef store fill:#fafafa,stroke:#d4d4d8,color:#18181b
  class Q,A,C,R io
  class P step
  class D store
```

<Frame caption="A Lab thread on an NVDA Q3 earnings preview. Source pills, three metric tiles, inline numbered citations [1][2][3], composer with `/skill` invocation. Brand-canon design surface.">
  <img src="https://mintcdn.com/cf0ai/Tr576YnoqImeEPZS/images/brand/surfaces-lab-chat.png?fit=max&auto=format&n=Tr576YnoqImeEPZS&q=85&s=3f24797e25eb467deba12dd969b4cd31" alt="cf0 Lab — NVDA Q3 earnings preview thread" width="1280" height="574" data-path="images/brand/surfaces-lab-chat.png" />
</Frame>

<Frame caption="The cf0 metric tile — caption-style eyebrow, tabular-numeral value, semantic delta (green up, red down), and one-line context under a hairline rule. Used wherever a number needs to be readable at a glance.">
  <img src="https://mintcdn.com/cf0ai/Tr576YnoqImeEPZS/images/brand/components-metric.png?fit=max&auto=format&n=Tr576YnoqImeEPZS&q=85&s=20562e807815e401c7ec3c6680849071" alt="cf0 metric tiles — revenue, gross margin, operating expense" width="1280" height="227" data-path="images/brand/components-metric.png" />
</Frame>

> *"Compare AAPL and MSFT free cash flow margins over the last 5 years and flag any quarter where the gap inverted."*

That's a full Lab prompt. The thread streams a margin time-series chart, a side-by-side table with `tnum`-aligned digits, a paragraph identifying the inversion quarters, and citations linking each margin number to the underlying 10-K or 10-Q. End-to-end: under a minute.

## What ships in a response

<Frame caption="A time-series chart from a Lab response — quarterly KPI with explicit data points, semantic colour, hairline grid, brand-blue accent.">
  <img src="https://mintcdn.com/cf0ai/Tr576YnoqImeEPZS/images/brand/charts-timeseries.png?fit=max&auto=format&n=Tr576YnoqImeEPZS&q=85&s=232dcc4d88782fd4687227905b911e91" alt="cf0 chart — quarterly time-series, brand-canon styling" width="1280" height="1005" data-path="images/brand/charts-timeseries.png" />
</Frame>

<CardGroup cols={2}>
  <Card title="On-demand UI" icon="layout-dashboard">
    Charts, tables, metric tiles, timelines — whichever component matches the question. Real interactive components, not screenshots; hover, sort, drill in.
  </Card>

  <Card title="Cited paragraphs" icon="link">
    Every figure anchors to a source — the exact filing, page, and section. Click to open the underlying document.
  </Card>

  <Card title="Persistent threads" icon="layers">
    Each session lives in its own thread. Come back tomorrow, the context is intact.
  </Card>

  <Card title="Slash-command workflows" icon="zap">
    Type `/` to invoke any Skill — your firm's reusable research moves bound to a slug. See [Skills](/features/skills).
  </Card>
</CardGroup>

## Threads

Each Lab session is a thread. Threads persist across sessions and live under your user account.

* **New thread** — top of the sidebar
* **Switch thread** — click any thread in the sidebar list
* **Rename thread** — click the thread title and type

<Note>
  Thread content is private to your user. Org admins see aggregate activity counts on the [Dashboard](/workspace/dashboard), never message bodies.
</Note>

## Citations

Every quantitative claim Lab makes links to a source — company, filing type (10-K, 10-Q, 8-K, transcript), filing date, and the specific section or table. For narrative claims, Lab reads the raw text and quotes verbatim where precision matters.

See [Citations and audit trail](/security/citations-and-audit) for how source-of-truth is generated and exported.

## Skills

Repeating workflows — DCF, comps, IC memos, earnings recaps, debt covenant checks — become **Skills**. Save the prompt once, invoke with `/skill-name` from any thread.

<Tip>
  Type `/` in Lab to see all available Skills filtered live. cf0 ships with a catalogue of named system workflows — DCF, LBO, comps, IC memos, earnings recaps, monte carlo — and your org admin can encode any process your team runs. See [Skills](/features/skills).
</Tip>