diff --git a/docs/notebooks/misc_recipes.ipynb b/docs/notebooks/misc_recipes.ipynb
index 58a2744..a58a6d5 100644
--- a/docs/notebooks/misc_recipes.ipynb
+++ b/docs/notebooks/misc_recipes.ipynb
@@ -31,12 +31,12 @@
    "metadata": {},
    "source": [
     "## [1] Lazy layers.\n",
-    "In this example, a `Linear` layer with a weight parameter based on the shape of the input will be created. Since this requires parameter creation (i.e., `weight`) after instance initialization, we will use `.at` to create a new instance with the added parameter."
+    "In this example, a `Linear` layer with a weight parameter based on the shape of the input will be created. Since this requires parameter creation (i.e., `weight`) after instance initialization, we will use `value_and_tree` to create a new instance with the added parameter."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -62,7 +62,7 @@
        "       [1.]], dtype=float32)"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,7 +97,8 @@
     "\n",
     "print(f\"Layer before param is set:\\t{lazy}\")\n",
     "\n",
-    "_, material = lazy.at[\"__call__\"](input)\n",
+    "# `value_and_tree` executes any mutating method in a functional way\n",
+    "_, material = sk.value_and_tree(lambda layer: layer(input))(lazy)\n",
     "\n",
     "print(f\"Layer after param is set:\\t{material}\")\n",
     "# subsequent calls will not set the parameters again\n",
@@ -116,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -205,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -214,7 +215,7 @@
        "25"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -268,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -319,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -347,7 +348,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -424,7 +425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -454,7 +455,7 @@
     "    def _tied_call(self, input: jax.Array) -> jax.Array:\n",
     "        # share/tie weights of encoder and decoder\n",
     "        # however this operation mutates the state\n",
-    "        # so this method will only work with .at\n",
+    "        # so this method will only work with `value_and_tree`\n",
     "        # otherwise will throw `AttributeError`\n",
     "        self.dec1.weight = self.enc1.weight.T\n",
     "        self.dec2.weight = self.enc2.weight.T\n",
@@ -465,9 +466,9 @@
     "        return output\n",
     "\n",
     "    def tied_call(self, input: jax.Array) -> jax.Array:\n",
-    "        # this method call `_tied_call` with .at to\n",
-    "        # return the output without mutating the state\n",
-    "        output, _ = self.at[\"_tied_call\"](input)\n",
+    "        # this method call `_tied_call` with value_and_tree\n",
+    "        # return the output without mutating the state of the network\n",
+    "        output, _ = sk.value_and_tree(lambda net: net._tied_call(input))(self)\n",
     "        return output\n",
     "\n",
     "    def non_tied_call(self, x):\n",