diff --git a/.github/release_log.txt b/.github/release_log.txt
index b7e0469e3..4f5840f93 100644
--- a/.github/release_log.txt
+++ b/.github/release_log.txt
@@ -4,3 +4,4 @@
 2024-11-07T12:25+00:00
 2024-11-11T14:33+00:00
 2025-01-21T09:30+00:00
+2025-01-28T08:42+00:00
diff --git a/tests/resources/timeouts.yaml b/tests/resources/timeouts.yaml
index 7798b4ca3..d37bbe383 100644
--- a/tests/resources/timeouts.yaml
+++ b/tests/resources/timeouts.yaml
@@ -318,3 +318,4 @@ time_marching.qmod: 400
 solving_qlsp_with_aqc.ipynb: 800
 solving_qlsp_with_aqc.qmod: 800
 combinatorial_qmod_workshop_for_maxcut.ipynb: 250
+tutorials/classiq_tutorial/the_classiq_workflow.ipynb: 1000
diff --git a/tutorials/classiq_tutorial/the_classiq_workflow.ipynb b/tutorials/classiq_tutorial/the_classiq_workflow.ipynb
new file mode 100644
index 000000000..4e48925e3
--- /dev/null
+++ b/tutorials/classiq_tutorial/the_classiq_workflow.ipynb
@@ -0,0 +1,74 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# The Classiq Workflow\n",
+    "\n",
+    "This notebook introduces the typical workflow with Classiq:\n",
+    "- **Designing a quantum algorithm** using the Qmod language and it's accompanied function library.\n",
+    "- **Synthesizing the algorithm** into a concrete circuit implementation.\n",
+    "- **Executing the algorithm** on a chosen simulator or quantum harware.\n",
+    "- **Post-processing** the results.\n",
+    "\n",
+    "To get started, run:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from classiq import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If this `import` doesn't work for you, please try `pip install classiq` in your terminal, or refer to [Registration and Installation](https://docs.classiq.io/latest/classiq_101/registration_installations/)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Designing a quantum algorithm\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@qfunc\n",
+    "def main()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "external-user-venv-PaJZMdG0-py3.11",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}