docs: link Colab introduction to workspace start

Author: Jammy2211

README.md

@@ -1,6 +1,6 @@
 # PyAutoLens-JAX: Open-Source Strong Lensing
 
-[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/notebooks/imaging/start_here.ipynb)
+[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/start_here.ipynb)
 [![Documentation Status](https://readthedocs.org/projects/pyautolens/badge/?version=latest)](https://pyautolens.readthedocs.io/en/latest/?badge=latest)
 [![Tests](https://github.com/PyAutoLabs/PyAutoLens/actions/workflows/main.yml/badge.svg)](https://github.com/PyAutoLabs/PyAutoLens/actions)
 [![Build](https://github.com/PyAutoLabs/PyAutoHands/actions/workflows/release.yml/badge.svg)](https://github.com/PyAutoLabs/PyAutoHands/actions)
@@ -14,7 +14,7 @@
 
 [Installation Guide](https://pyautolens.readthedocs.io/en/latest/installation/overview.html) |
 [readthedocs](https://pyautolens.readthedocs.io/en/latest/index.html) |
-[Introduction on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/notebooks/imaging/start_here.ipynb) |
+[Introduction on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/start_here.ipynb) |
 [HowToLens](https://pyautolens.readthedocs.io/en/latest/howtolens/howtolens.html)
 
 <img src="https://github.com/Jammy2211/PyAutoLogo/blob/main/gifs/pyautolens.gif?raw=true" width="900" />
@@ -34,7 +34,7 @@ The [**PyAutoLens AI Assistant**](https://github.com/PyAutoLabs/autolens_assista
 The following human-readable documentation and examples are also useful for new starters:
 
 - [The PyAutoLens readthedocs](https://pyautolens.readthedocs.io/en/latest): which includes [an overview of PyAutoLens's core features](https://pyautolens.readthedocs.io/en/latest/overview/overview_1_start_here.html), [a new user starting guide](https://pyautolens.readthedocs.io/en/latest/overview/overview_2_new_user_guide.html) and [an installation guide](https://pyautolens.readthedocs.io/en/latest/installation/overview.html).
-- [The introduction Jupyter Notebook on Google Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/notebooks/imaging/start_here.ipynb): try **PyAutoLens** in a web browser (without installation).
+- [The introduction Jupyter Notebook on Google Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/start_here.ipynb): try **PyAutoLens** in a web browser (without installation).
 - [The autolens_workspace GitHub repository](https://github.com/PyAutoLabs/autolens_workspace): example scripts covering every **PyAutoLens** use case.
 - [The HowToLens GitHub repository](https://github.com/PyAutoLabs/HowToLens): a Jupyter notebook lecture series teaching strong lensing and lens modeling from the ground up.
 

docs/index.md

@@ -19,7 +19,7 @@ The [**PyAutoLens AI Assistant**](https://github.com/PyAutoLabs/autolens_assista
 The following human-readable documentation and examples are also useful for new starters:
 
 - [The PyAutoLens readthedocs](https://pyautolens.readthedocs.io/en/latest): which includes [an overview of PyAutoLens's core features](https://pyautolens.readthedocs.io/en/latest/overview/overview_1_start_here.html), [a new user starting guide](https://pyautolens.readthedocs.io/en/latest/overview/overview_2_new_user_guide.html) and [an installation guide](https://pyautolens.readthedocs.io/en/latest/installation/overview.html).
-- [The introduction Jupyter Notebook on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/notebooks/imaging/start_here.ipynb), where you can try **PyAutoLens** in a web browser (without installation).
+- [The introduction Jupyter Notebook on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/start_here.ipynb), where you can try **PyAutoLens** in a web browser (without installation).
 - [The autolens_workspace GitHub repository](https://github.com/PyAutoLabs/autolens_workspace), which includes example scripts covering every **PyAutoLens** use case.
 - [The HowToLens GitHub repository](https://github.com/PyAutoLabs/HowToLens): a Jupyter notebook lecture series teaching strong lensing and lens modeling from the ground up.
 

paper/paper.md

@@ -88,7 +88,7 @@ strong lenses. The API allows users to perform ray-tracing by using analytic lig
 lens systems. Accompanying `PyAutoLens` is the [autolens workspace](https://github.com/PyAutoLabs/autolens_workspace), which 
 includes example scripts and lens datasets covering every use case. The [`HowToLens`](https://github.com/PyAutoLabs/HowToLens)
 repository provides a separate Jupyter notebook lecture series which introduces non-experts to strong lensing using `PyAutoLens`. Readers can 
-try `PyAutoLens` right now by going to [the introduction Jupyter notebook on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/notebooks/imaging/start_here.ipynb) 
+try `PyAutoLens` right now by going to [the introduction Jupyter notebook on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.7.23.1/start_here.ipynb)
 or checkout the [readthedocs](https://pyautolens.readthedocs.io/en/latest/) for a complete overview of `PyAutoLens`'s features.
 
 # Background