Walkthrough
Webfield mapping

Evaluating a field-mapping workflow

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Maya reaches the real app gate knowing the three-step workflow, available models, export formats, and credit model she is evaluating.

A live product-level walk for AutoBounds, framed around Maya Thornton's actual decision rather than a list of routes.

  1. 01

    The outcome is stated before the machinery

    Opened the public AutoBounds product page.

    The promise is concrete: turn manual delineation into an export-ready starting point from satellite imagery.

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    AutoBounds explaining AI field-boundary mapping
  2. 02

    The workflow is point, process, export

    Moved to the three-step workflow.

    Maya can see what she must provide, what the model does, and what leaves the system before she evaluates implementation detail.

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    The three-step AutoBounds field mapping workflow
  3. 03

    Models are compared by operating trade-offs

    Opened the AI model comparison.

    The model page makes speed, prompting, and boundary quality part of the product decision instead of presenting AI as one opaque button.

    /ai-models
    /ai-models
    AutoBounds AI model comparison
  4. 04

    Credits map to accepted work

    Opened pricing.

    Pricing explains that one credit buys one extraction and is deducted only when a result is accepted, which is the operational unit Maya needed.

    /pricing
    /pricing
    AutoBounds credit pricing and acceptance model
  5. 05

    The real application starts at an account gate

    Opened the production app demo route.

    The walkthrough stops honestly at the production sign-in surface; projects, Labs, and exports remain blocked without an authenticated workspace.

    /demo
    /demo
    AutoBounds production sign-in screen

What this feature does

  • Map and extract field boundaries
  • Compare extraction models
  • Organize projects, farms, and fields
  • Export accepted boundaries
  • Operate model and user settings