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

# LandingEdge Workflow

export const vp = 'Visual Prompting';

export const smartLabel = 'Smart Labeling';

export const productLL = 'LandingLens';

export const mi = 'Mobile Inference';

export const llsf = 'LandingLens on Snowflake';

export const companyName = 'LandingAI';

*This article applies to these versions of LandingLens:*

<table>
  <thead>
    <tr>
      <th>LandingLens</th>
      <th>LandingLens on Snowflake</th>
    </tr>
  </thead>

  <tbody>
    <tr>
      <td><span class="check-icon">✓</span></td>
      <td><span class="check-icon">✓</span></td>
    </tr>
  </tbody>
</table>

This is a high-level workflow of LandingEdge:

1. Make sure your computer meets the [system requirements](./landingedge-specifications-sheet).
2. Download and install [LandingEdge](./download-and-install-landingedge).
3. [Activate the project](/activate-projects) that has the model you want to run inference with. You must activate a project in LandingLens first, regardless if you will run the model online or offline.
4. If you plan to run inference offline, [download the model](/download-models) you want to run inference with.
5. If you're using {llsf} and plan to run inference online, [set up a connection](./landingedge-snowflake) between LandingEdge and {llsf}.
6. Create and configure an [Inspection Point](./manage-inspection-points).
7. If you want to upload the images that you run inference on back to LandingLens, enable the **Upload Results to LandingLens** setting when setting up the Inspection Point.