diff --git a/09b-Specutils/Specutils_overview.ipynb b/09b-Specutils/Specutils_overview.ipynb
index d2a8951..d8a3621 100644
--- a/09b-Specutils/Specutils_overview.ipynb
+++ b/09b-Specutils/Specutils_overview.ipynb
@@ -84,14 +84,13 @@
    "source": [
     "# Background/Spectroscopic ecosystem\n",
     "\n",
-    "The large-scale plan for spectroscopy support in the Astropy project is outlined in  the [Astropy Proposal For Enhancement 13](https://github.com/astropy/astropy-APEs/blob/main/APE13.rst).  In summary, this APE13 lays out three broad packages:\n",
+    "The large-scale plan for spectroscopy support in the Astropy Project was outlined in the [Astropy Proposal For Enhancement 13](https://github.com/astropy/astropy-APEs/blob/main/APE13.rst).  In summary, this APE13 laid out three broad packages:\n",
     "\n",
     "* `specutils` - a Python package containing the basic data structures for representing spectroscopic data sets, as well as a suite of fundamental spectroscopic analysis tools to work with these data structures.\n",
     "* `specreduce` - a general Python package to reduce raw astronomical spectral images to 1d spectra (represented as `specutils` objects).\n",
-    "* `specviz` - a Python package (or possibly suite of packages) for visualization of astronomical spectra.\n",
+    "* APE13 also suggested a package (using the working name of `specviz`) for *interactive* visualization of spectra, but highlighted it as lower priority for the astropy development team. Since then, other projects (e.g., the `Specviz` interface of `jdaviz`, `SPARCL`/`prospect`, the `CARTA` package) have filled this gap in the ecosystem so Astropy recommends adopting whatever UI makes the most sense to you and the way your brain works.\n",
     "\n",
-    "\n",
-    "While all are still in development, the first of these is furthest along, and is the subject of this notebook, as it contains the core data structures and concepts required for the others."
+    "While all are in various stages of development, the first of these is the most directly relevant for scientific analysis and is the subject of this notebook."
    ]
   },
   {
@@ -468,7 +467,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.9"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,
diff --git a/09b-Specutils/Specutils_overview_solutions.ipynb b/09b-Specutils/Specutils_overview_solutions.ipynb
index 4d3723e..50d8ef2 100644
--- a/09b-Specutils/Specutils_overview_solutions.ipynb
+++ b/09b-Specutils/Specutils_overview_solutions.ipynb
@@ -84,14 +84,13 @@
    "source": [
     "# Background/Spectroscopic ecosystem\n",
     "\n",
-    "The large-scale plan for spectroscopy support in the Astropy project is outlined in  the [Astropy Proposal For Enhancement 13](https://github.com/astropy/astropy-APEs/blob/main/APE13.rst).  In summary, this APE13 lays out three broad packages:\n",
+    "The large-scale plan for spectroscopy support in the Astropy Project was outlined in the [Astropy Proposal For Enhancement 13](https://github.com/astropy/astropy-APEs/blob/main/APE13.rst).  In summary, this APE13 laid out three broad packages:\n",
     "\n",
     "* `specutils` - a Python package containing the basic data structures for representing spectroscopic data sets, as well as a suite of fundamental spectroscopic analysis tools to work with these data structures.\n",
     "* `specreduce` - a general Python package to reduce raw astronomical spectral images to 1d spectra (represented as `specutils` objects).\n",
-    "* `specviz` - a Python package (or possibly suite of packages) for visualization of astronomical spectra.\n",
+    "* APE13 also suggested a package (using the working name of `specviz`) for *interactive* visualization of spectra, but highlighted it as lower priority for the astropy development team. Since then, other projects (e.g., the `Specviz` interface of `jdaviz`, `SPARCL`/`prospect`, the `CARTA` package) have filled this gap in the ecosystem so Astropy recommends adopting whatever UI makes the most sense to you and the way your brain works.\n",
     "\n",
-    "\n",
-    "While all are still in development, the first of these is furthest along, and is the subject of this notebook, as it contains the core data structures and concepts required for the others."
+    "While all are in various stages of development, the first of these is the most directly relevant for scientific analysis and is the subject of this notebook."
    ]
   },
   {
@@ -599,7 +598,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.9"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,