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

# How We're Different

> See the pillars that set Exterview apart: per-customer compounding calibration, reproducible decisions, a post-hire feedback loop, and specialized agents.

## Purpose

Plenty of tools add AI to hiring. What sets Exterview apart is *how* the intelligence is built, controlled, and compounded, described here by capability, not by comparison to any one vendor.

## The pillars

<CardGroup cols={2}>
  <Card title="Per-customer compounding calibration" icon="arrow-trend-up">
    Your evaluations are tuned to your bar and improve every cycle. The advantage accrues to you, it isn't averaged into a shared model.
  </Card>

  <Card title="Reproducible scoring" icon="scale-balanced">
    The same inputs produce the same result, versioned and traceable. Nothing
    drifts silently underneath you.
  </Card>

  <Card title="The post-hire loop (coming soon)" icon="seedling">
    D30/60/90 outcomes are designed to feed back into rubrics and role
    definitions, quality of hire, not just speed of hire.
  </Card>

  <Card title="Specialized agents" icon="diagram-project">
    Each hiring stage runs on a purpose-built agent, not one monolithic model
    handling everything.
  </Card>

  <Card title="Content-based, human-reviewed" icon="user-check">
    Scoring is grounded in what a candidate says, and a human always owns the
    decision.
  </Card>

  <Card title="Above the ATS" icon="layer-group">
    An intelligence layer that upgrades your existing stack instead of forcing a rip-and-replace.
  </Card>
</CardGroup>

## Generic hiring AI vs. Exterview

<Info>
  Framed by capability, not vendor. The point isn't who else is in the market,
  it's what "good" should mean.
</Info>

| Capability            | Generic hiring AI      | Exterview                                    |
| --------------------- | ---------------------- | -------------------------------------------- |
| Calibration           | One model for everyone | Tuned per customer, to your bar              |
| Improvement over time | Static or vendor-wide  | Compounds for you specifically               |
| Reproducibility       | Often opaque / drifts  | Versioned and traceable                      |
| Post-hire feedback    | Rarely closed          | D30/60/90 loop (coming soon)                 |
| Architecture          | Single model           | Specialized, purpose-built agents            |
| Decisioning           | Varies                 | Human-owned; no autonomous adverse decisions |
| Fit with your stack   | May replace the ATS    | Layers above the ATS                         |

## FAQs

<AccordionGroup>
  <Accordion title="Isn't 'AI hiring' a crowded space?">
    The label is common; the approach isn't. Per-customer compounding calibration, and a post-hire loop we're building, are structurally different from serving one shared model.
  </Accordion>

  <Accordion title="What's the durable advantage?">
    Calibration that compounds inside your organization. The longer you run, the
    sharper, and more uniquely yours, it becomes.
  </Accordion>

  <Accordion title="Where does Smaya fit?">
    Smaya is a planned companion that answers questions about your hiring data today, with a longer-term direction toward helping coordinate across agents. See the Smaya section for what's available now versus planned.
  </Accordion>
</AccordionGroup>

## Related

<CardGroup cols={2}>
  <Card title="Why Exterview" icon="compass" href="/why-exterview/overview">
    The category and the thesis behind these pillars.
  </Card>

  <Card title="Common Questions" icon="circle-question" href="/why-exterview/faqs">
    The hard buyer questions, answered.
  </Card>
</CardGroup>