Align with new website and tagline

dataiku · Jul 22, 2024 · d598b30 · d598b30
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diff --git a/docs/CRUD_example_usage.ipynb b/docs/CRUD_example_usage.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# Introduction to Visual Edit's CRUD Python API\n",
     "\n",
-    "[Visual Edit](https://dataiku.github.io/dss-visual-edit/) is a Dataiku plugin that helps build apps to validate and edit data within pipelines. As an alternative to using the plugin's Visual Webapp (no-code), you can build your own webapp with a custom front-end and use the plugin's CRUD API for data persistence.\n",
+    "[Visual Edit](https://dataiku.github.io/dss-visual-edit/) is a Dataiku plugin that helps spin up apps to validate and edit data. As an alternative to using the plugin's Visual Webapp (no-code), you can build your own webapp with a custom front-end and use the plugin's CRUD API for data persistence.\n",
     "\n",
     "This notebooks provides an overview of the API and a hands-on demo. We strongly recommend following the [Visual Webapp guide](https://dataiku.github.io/dss-visual-edit/get-started) first, to get an initial understanding of the plugin's features and concepts.\n",
     "\n",

diff --git a/docs/index.md b/docs/index.md
@@ -1,35 +1,12 @@
 # Plugin: Visual Edit | Dataiku
 
-## Build apps to validate and edit data within pipelines
+Welcome to the documentation website for Dataiku Visual Edit!
 
-![](demo_unmatched_entities.gif)
+This plugin helps spin up visual apps to validate and edit data. Learn more about use cases, features, and how to install at [dataiku.com/product/plugins/visual-edit/](https://www.dataiku.com/product/plugins/visual-edit/).
 
-[Book a demo!](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ1cgQ-IQ2k2eJMm6mUrZxabQgtPSSwaZ9TgNcHcnaUDvrqfweAkf-B7xzZbTSNyYeSRc2smgLbp){: .btn}
-
-Use Cases: enable domain experts to...
-
-* Validate the output of rules or AI used for
-  * Mass corrections/enrichment of source data: **entity resolution, deduplication, categorization**, etc.
-  * Operational processes: **log decisions on alerts, validate suggestions of amounts to pay or orders to place**, etc.
-* Make tactical corrections on source data, to ensure correctness of an analytics project.
-
-Features:
-
-* Powerful data table with rich editing experience and a special validation column.
-* Easy webapp setup (no-code and low-code options) and integration of edits in your pipeline.
-* Ability to leverage human feedback for continuous AI improvement.
-* Audit trail of all edits.
-
-## Plugin information
-
-* Author: Dataiku (Louis Dorard, Julien Hobeika, Fabien Daoulas)
-* [Source code](https://github.com/dataiku/dss-visual-edit/)
-* [Reporting issues](https://github.com/dataiku/dss-visual-edit/issues)
-
-## Quick links
+## Contents
 
 * For Data Experts:
-  * [Request Installation](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ1cgQ-IQ2k2eJMm6mUrZxabQgtPSSwaZ9TgNcHcnaUDvrqfweAkf-B7xzZbTSNyYeSRc2smgLbp)
   * User guides:
     * [Use Case #1: Correcting Source Data](get-started)
     * [Use Case #2: Reviewing Machine-Generated Data](reviewing)

diff --git a/dss-plugin-visual-edit/plugin.json b/dss-plugin-visual-edit/plugin.json
@@ -3,7 +3,7 @@
     "version": "2.0.1",
     "meta": {
         "label": "Visual Edit",
-        "description": "Build apps to validate and edit data within pipelines",
+        "description": "Spin up a visual app to validate and edit data",
         "author": "Dataiku (Louis Dorard, Julien Hobeika, Fabien Daoulas)",
         "icon": "icon-edit-sign",
         "tags": [],