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

# Platform documentation

> Weflayr allows you to analyse your AI costs & revenue and optimise it.

## Analyse

<Columns cols={2}>
  <Card title="Overview" icon="gauge" href="/product/overview">
    Your daily AI spend and usage.
  </Card>

  <Card title="Cost" icon="coins" href="/product/cost">
    What each feature costs.
  </Card>

  <Card title="Margin" icon="scale-balanced" href="/product/margin">
    Profit and loss per customer.
  </Card>

  <Card title="Internal projects" icon="building" href="/internal-projects">
    Cost against key metrics, not revenue.
  </Card>
</Columns>

All this data can also be fetched programmatically, through our [API](/api/costs) or [MCP](/mcp-server).

## Optimise

The [Optimisation engine](/product/cost-optimisation) analyses your real traffic and surfaces two kinds of savings:

<Columns cols={2}>
  <Card title="Model Benchmarking" icon="flask" href="/product/model-benchmark">
    Swap to a cheaper model that performs as well.
  </Card>

  <Card title="Prompt caching optimisation" icon="database" href="/product/prompt-caching">
    Capture prompt prefixes your provider prices cheaper.
  </Card>
</Columns>

## Configure

Feed Weflayr everything that is not an AI call - revenue, customer tags, free AI credits: see [Configure Cost & revenue](/configure/introduction).