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

# How we tier releases

> Labs, Preview, and Platform — how Parable ships new capabilities and what each tier means for you.

Parable ships new capabilities across three tiers. Each tier is a different answer to one question: **how many organizations have we seen this work across, and for how long?**

<br />

<Tip>
  **The world — and the AI beneath every intelligent product — is changing faster than ever.** We ship you the latest and greatest. Occasionally your results will shift as models and methods refine; **rarely enough to flip a decision**, and always with a note from us when the change is meaningful.
</Tip>

<br />

<h2 id="labs">
  <Icon icon="flask-vial" /> Labs
</h2>

<Info>
  **Labs is where we deliver insights tailored to your organization faster than our main roadmap would allow.** A Labs report is built for your team specifically, leans on the newest AI capabilities, and may ship with less visual polish than the rest of Parable — because the value is in the insight, not the chrome. Results may evolve as the underlying models improve; that's intentional — we're moving with the frontier, not chasing it. Once a Labs capability proves itself across several organizations, it graduates to **Preview**.

  <br />

  **How to read Labs results:** directional.
</Info>

<h2 id="preview">
  <Icon icon="flask" /> Preview
</h2>

<Info>
  **Preview is where we put features we're confident in, but haven't yet seen at full scale across every organization.** The most common reason: the AI models from Google, OpenAI, and Anthropic that underpin classification update on their own schedule, and the methods we layer on top learn your organization over time. That means Preview results can shift slightly week-to-week — **within a margin of error, rarely enough to flip a decision you'd make from them.** When we've seen consistent results across enough organizations for long enough, a Preview feature graduates to **Platform**.

  <br />

  **How to read Preview results:** decision-ready with an honest caveat. We'll tell you when the methodology under a Preview feature changes.
</Info>

<h2 id="platform">
  <Icon icon="layer-group" /> Platform
</h2>

<Info>
  **Platform is the composable core of Parable.** Everything here has been seen across enough customers, long enough, that we're confident it behaves the same way for yours. We move things into Platform deliberately — a great composable platform takes patience to build, and we'd rather be right than fast at this layer. If something's in Platform, it's production, stable, and ours to keep steady.

  <br />

  **How to read Platform results:** this is the bedrock.
</Info>

***

## Graduation path

<Steps>
  <Step title="Labs → Preview" icon="arrow-right">
    A Labs capability graduates to Preview once it has proven itself across **several organizations** — similar shape of insight, repeatable methodology, and a clear mental model of how the underlying AI behaves for it.
  </Step>

  <Step title="Preview → Platform" icon="arrow-right">
    A Preview feature graduates to Platform once we've seen **consistent behaviour across enough organizations for long enough** that we're confident changes to the underlying models won't meaningfully shift results. At that point, it earns a seat in the composable core.
  </Step>

  <Step title="(Sometimes) Labs → Platform" icon="arrow-right">
    Rarely, a Labs capability that's more craft than model — for example, a new layout primitive or chart type — can go straight to Platform once it's been battle-tested.
  </Step>
</Steps>

<br />

## Frequently asked

<AccordionGroup>
  <Accordion title="Will my Preview results actually change week-to-week?" icon="chart-line">
    Sometimes — yes, a little. The AI models underneath classification (from OpenAI, Anthropic, and Google) update on their own schedule, and our methods learn your organization over time. The result is usually movement **within a margin of error** that doesn't flip a decision. When a change is meaningful, we'll tell you directly — in release notes, in the product, or through your account team.
  </Accordion>

  <Accordion title="Should I report on Labs results to my exec team?" icon="chart-mixed">
    **Yes — and we want you to.** Labs results are directional, and to date we haven't seen one turn out fundamentally flawed. Report them as what they are: the sharpest, newest view Parable has into your organization's data. As a Labs capability matures and graduates toward Preview and Platform, the methodology keeps refining — expect the edges to sharpen, not the conclusions to invert. The main thing to communicate alongside the finding is which tier it sits in; we mark that clearly in-product and your account team can confirm anytime.
  </Accordion>

  <Accordion title="How do I know what tier a feature is in?" icon="signs-post">
    Every Parable feature carries a tier indicator in the product and in our release notes. If you're ever unsure, ask your account team — we'll tell you which tier a capability sits in today and what it would take to promote it.
  </Accordion>

  <Accordion title="What if a Platform feature changes?" icon="shield-halved">
    Platform changes are intentional and announced. When the composable core moves, we tell you before it moves.
  </Accordion>
</AccordionGroup>

***

<Tip>
  Questions about a specific feature's tier or trajectory? Reach out to your Parable team — we're happy to walk through where we are today and where we're headed.
</Tip>