diff --git a/docs/literate/src/files/custom_semidiscretization.jl b/docs/literate/src/files/custom_semidiscretization.jl
new file mode 100644
index 00000000000..609c76c0434
--- /dev/null
+++ b/docs/literate/src/files/custom_semidiscretization.jl
@@ -0,0 +1,49 @@
+#src # Custom semidiscretizations
+
+# As described in the [overview section](@ref overview-semidiscretizations),
+# semidiscretizations are high-level descriptions of spatial discretizations
+# in Trixi.jl. Trixi.jl's main focus is on hyperbolic conservation
+# laws represented in a [`SemidiscretizationHyperbolic`](@ref).
+# Hyperbolic-parabolic problems based on the advection-diffusion equation or
+# the compressible Navier-Stokes equations can be represented in a
+# [`SemidiscretizationHyperbolicParabolic`](@ref). This is described in the
+# [basic tutorial on parabolic terms](@ref parabolic_terms) and its extension to
+# [custom parabolic terms](@ref adding_new_parabolic_terms).
+# In this tutorial, we will describe how these semidiscretizations work and how
+# they can be used to create custom semidiscretizations involving also other tasks.
+
+
+# ## Overview of the right-hand side evaluation
+
+# The semidiscretizations provided by Trixi.jl are set up to create `ODEProblem`s from
+# [SciML ecosystem for ordinary differential equations](https://diffeq.sciml.ai/latest/).
+# In particular, a spatial semidiscretization can be wrapped in an ODE problem
+# using [`semidiscretize`](@ref), which returns an `ODEProblem`. This `ODEProblem`
+# bundles an initial condition, a right-hand side (RHS) function, the time span,
+# and possible parameters. The `ODEProblem`s created by Trixi.jl use the semidiscretization
+# passed to [`semidiscretize`](@ref) as parameter.
+# For a [`SemidiscretizationHyperbolic`](@ref), the `ODEProblem` wraps
+# `Trixi.rhs!` as ODE RHS.
+#
+
+
+# ## Setting up a custom semidiscretization
+
+# Required
+# - `Trixi.rhs!(du_ode, u_ode, semi::SemidiscretizationEulerGravity, t)`
+# - `Trixi.mesh_equations_solver_cache(semi::SemidiscretizationEulerGravity)`
+
+# Basic
+# - `Base.show(io::IO, parameters::SemidiscretizationEulerGravity)`
+# - `Base.show(io::IO, ::MIME"text/plain", parameters::SemidiscretizationEulerGravity)`
+# - `Base.ndims(semi::SemidiscretizationEulerGravity)`
+# - `Base.real(semi::SemidiscretizationEulerGravity)`
+# - `Trixi.compute_coefficients(t, semi::SemidiscretizationEulerGravity)`
+# - `Trixi.compute_coefficients!(u_ode, t, semi::SemidiscretizationEulerGravity)`
+# - `Trixi.calc_error_norms(func, u, t, analyzer, semi::SemidiscretizationEulerGravity, cache_analysis)`
+
+# Advanced
+# - `Trixi.nvariables(semi::SemidiscretizationHyperbolicParabolic)`
+# - `Trixi.save_solution_file(u_ode, t, dt, iter, semi::SemidiscretizationEulerGravity, solution_callback, element_variables = Dict{Symbol, Any}(); system = "")`
+# - `(amr_callback::AMRCallback)(u_ode, semi::SemidiscretizationEulerGravity, t, iter; kwargs...)`
+# - `Trixi.semidiscretize(semi::SemidiscretizationHyperbolicParabolic, tspan; reset_threads = true)`
diff --git a/docs/literate/src/files/index.jl b/docs/literate/src/files/index.jl
index 18272952d6d..d42695611f6 100644
--- a/docs/literate/src/files/index.jl
+++ b/docs/literate/src/files/index.jl
@@ -121,6 +121,11 @@
 # a few semidiscretizations. Moreover, we calculate an example for propagating errors with Measurement.jl
 # at the end.
 
+# ### [17 Custom semidiscretization](@ref custom_semidiscretization)
+#-
+# This tutorial describes the [semidiscretiations](@ref overview-semidiscretizations) of Trixi.jl
+# and explains how to extend them for custom tasks.
+
 
 
 # ## Examples in Trixi.jl
diff --git a/docs/src/overview.md b/docs/src/overview.md
index 46bc28b6025..51a6272ae8e 100644
--- a/docs/src/overview.md
+++ b/docs/src/overview.md
@@ -16,7 +16,7 @@ to solve a PDE numerically are the spatial semidiscretization and the time
 integration scheme.
 
 
-## Semidiscretizations
+## [Semidiscretizations](@id overview-semidiscretizations)
 
 Semidiscretizations are high-level descriptions of spatial discretizations
 specialized for certain PDEs. Trixi.jl's main focus is on hyperbolic conservation