diff --git a/README.md b/README.md
index 6c9a8d7..4076aa5 100644
--- a/README.md
+++ b/README.md
@@ -94,14 +94,14 @@ This setup gives you control over what to display and how to explain it, directl
 See the example README for a basic example walk-through, or simply run the following script to see the end result!
 
 ```bash
-bash examples/run.sh
+bash examples/vectoradd_jax/run.sh
 ```
 
 This will open a browser window with the Streamlit UI where users can input values and visualise the response.
 
-| ![](examples/screenshots/header-vec-a.png) | ![](examples/screenshots/outputs.png) |
+| ![](examples/vectoradd_jax/screenshots/header-vec-a.png) | ![](examples/vectoradd_jax/screenshots/outputs.png) |
 | --------------------------------- | ---------------------------- |
-| ![](examples/screenshots/vec-b.png)        | ![](examples/screenshots/plot.png)    |
+| ![](examples/vectoradd_jax/screenshots/vec-b.png)        | ![](examples/vectoradd_jax/screenshots/plot.png)    |
 
 ## ⚠️ Current Limitations
 
diff --git a/docs/conf.py b/docs/conf.py
index 6846812..e408114 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -7,9 +7,13 @@
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
 
 import re
+import shutil
+from pathlib import Path
 
 from tesseract_streamlit import __version__
 
+PARENT_DIR = Path(__file__).parent.resolve()
+
 project = "tesseract-streamlit"
 copyright = "2024, The tesseract-streamlit Team @ Pasteur Labs"
 author = "The tesseract-streamlit Team @ Pasteur Labs"
@@ -55,3 +59,10 @@
 
 html_theme = "furo"
 html_static_path = ["static"]
+
+# Copy example notebooks to docs/examples folder on every build
+for example_dir in Path("../examples").glob("*/"):
+    # Copy the example directory to the docs folder
+    shutil.copytree(
+        example_dir, PARENT_DIR / "examples" / example_dir.name, dirs_exist_ok=True
+    )
diff --git a/docs/examples/.gitignore b/docs/examples/.gitignore
new file mode 100644
index 0000000..654617b
--- /dev/null
+++ b/docs/examples/.gitignore
@@ -0,0 +1,2 @@
+**/*
+!.gitignore
diff --git a/docs/index.md b/docs/index.md
index b03a3d1..7a4acfa 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -11,3 +11,11 @@
 self
 api
 ```
+
+```{toctree}
+:caption: Examples
+:maxdepth: 2
+:hidden:
+
+examples/vectoradd_jax/README.md
+```
diff --git a/examples/README.md b/examples/README.md
deleted file mode 100644
index 7430b59..0000000
--- a/examples/README.md
+++ /dev/null
@@ -1,72 +0,0 @@
-# vectoradd_jax
-
-First, we need to download the example code. Let's clone the `tesseract-core`
-repo at version `0.9.0` (which is what this example was written with).
-We do this at a depth of 1 to prevent cloning the repo's whole history.
-
-```shell
-git clone --depth 1 --branch v0.9.0 https://github.com/pasteurlabs/tesseract-core.git ~/Downloads/tesseract-core
-```
-
-`tesseract-streamlit` gives users the option to pass some custom code, see
-the info about `udf.py` later.
-You can use whatever packages you like to write this code; for this example,
-we have put the required packages in `requirements.txt`.
-
-```shell
-pip install -r requirements.txt
-```
-
-Next, we can build and serve `vectoradd_jax`, which is the Tesseracct we will
-be creating a Streamlit app for here.
-
-```shell
-tesseract build ~/Downloads/tesseract-core/examples/vectoradd_jax
-tesseract serve vectoradd_jax
-```
-
-Make a note of the `port` and `project_id` randomly assigned by
-`tesseract serve`, which will print to `stdout`, as it will be useful in the
-next steps.
-
-If you haven't already followed the [installation guide](../README.md#-installation) to
-install `tesseract-streamlit`, we recommend doing this now.
-We will use the command of the same name that comes with the package to
-automatically generate the Streamlit app!
-
-```shell
-tesseract-streamlit --user-code udf.py "http://localhost:<PORT>" app.py
-```
-
-Here we have passed `udf.py`, which contains a single user-defined function
-(hence the name). It takes the inputs and outputs from the Tesseract, and
-returns a Plotly figure. You aren't limited to using Plotly, any visualisation
-library supported by Streamlit is fine. The list can be seen [here][stplots].
-Users may also write functions to plot the inputs or outputs alone.
-
-Functions may have any name, and the docstrings will be used as descriptions
-in the web-app accompanying the plots.
-Just make sure to name the parameters `input_schema` and / or `output_schema`
-accordingly, and `tesseract-streamlit` will handle the rest.
-
-Finally, we can run our app! Since we have generated a Streamlit app to call
-our Tesseract, we spin it up using `streamlit run`.
-
-```shell
-streamlit run app.py
-```
-
-Hey presto! You should have a web-app with automatically generated inputs for
-the `vectoradd_jax` Tesseract, with some custom visualisations!
-
-
-| ![](screenshots/header-vec-a.png) | ![](screenshots/outputs.png) |
-| --------------------------------- | ---------------------------- |
-| ![](screenshots/vec-b.png)        | ![](screenshots/plot.png)    |
-
-When you finish up, you may want to stop serving the Tesseract. You can do this
-with
-
-```shell
-tesseract teardown <PROJECT ID>
-```
diff --git a/examples/jax_fem/README.md b/examples/jax_fem/README.md
new file mode 100644
index 0000000..bc86b16
--- /dev/null
+++ b/examples/jax_fem/README.md
@@ -0,0 +1,92 @@
+# Using JAX with finite element methods (JAX-FEM)
+
+In this example, you'll generate a Streamlit app from a Tesseract which models a structure and computes its compliance with finite element methods.
+This is based on the excellent example for [shape optimisation in Tesseract JAX](https://docs.pasteurlabs.ai/projects/tesseract-jax/latest/examples/fem-shapeopt/demo.html) using JAX-FEM.
+This, of course, uses `tesseract-streamlit` to automatically generate an interactive web app, this time with an interactive PyVista plot of the structure! ⚡
+
+---
+
+## 📥 Step 1: Download the Example Code
+
+We've written a custom Tesseract for this example, mashing up the Design Tesseract and FEM Tesseract from the original Tesseract JAX tutorial, so clone `tesseract-streamlit` like so:
+
+```shell
+git clone --depth 1 https://github.com/pasteurlabs/tesseract-streamlit.git ~/Downloads/tesseract-streamlit
+```
+
+---
+
+## 📦 Step 2: Install Requirements
+
+Enter the example directory, and install the required packages:
+
+```bash
+cd ~/Documents/tesseract-streamlit/examples/jax_fem
+pip install -r requirements.txt
+```
+
+---
+
+## 🛠️ Step 3: Build and Serve the Tesseract
+
+Use the Tesseract CLI to build and serve `jax-fem`:
+
+```bash
+tesseract build ~/Downloads/tesseract-core/examples/jax_fem
+tesseract serve jax-fem
+```
+
+> [!NOTE]
+> Make note of the `PORT` and `PROJECT ID` printed to stdout — you'll need them shortly.
+
+---
+
+## ⚡ Step 4: Generate the Streamlit App
+
+With `tesseract-streamlit` installed, generate a ready-to-run Streamlit app:
+
+```bash
+tesseract-streamlit --user-code udf.py "http://localhost:<PORT>" app.py
+```
+
+`udf.py` can be found in under `tesseract-streamlit/examples/jax-fem/`.
+It contains a custom function that takes the Tesseract's inputs to render a PyVista plot of the design structure directly in the UI! ⚙️
+Check out the [source code to see how it works](https://github.com/pasteurlabs/tesseract-streamlit/examples/jax_fem/udf.py).
+
+---
+
+## ▶️ Step 5: Launch the App
+
+Run your new app with:
+
+```bash
+streamlit run app.py
+```
+
+This will launch a web interface for submitting inputs, running the Tesseract, and visualising the results.
+
+The form is populated from sensible defaults defined in `tesseract_api.py`.
+To easily provide the input parameters for the structure itself, you can upload the `bar_params.json` file in the current directory.
+
+---
+
+## 🖼️ Screenshots
+
+
+|     |     |
+| --- | --- |
+|     |     |
+
+---
+
+## 🧹 Step 6: Clean Up
+
+When you're done, you can stop the Tesseract server with:
+
+```bash
+tesseract teardown <PROJECT ID>
+```
+
+---
+
+🎉 That’s it — you've transformed a running Tesseract into a beautiful Streamlit web app with interactive plots, with minimal effort from the command line!
diff --git a/examples/jax_fem/bar_params.json b/examples/jax_fem/bar_params.json
new file mode 100644
index 0000000..45462c6
--- /dev/null
+++ b/examples/jax_fem/bar_params.json
@@ -0,0 +1 @@
+[[[-30.0,-5.0,0.0],[-18.0,-5.0,0.0],[-6.0,-5.0,0.0],[6.000000953674316,-5.0,0.0],[18.0,-5.0,0.0],[30.0,-5.0,0.0]],[[-30.0,-2.5,0.0],[-18.0,-2.5,0.0],[-6.0,-2.5,0.0],[6.000000953674316,-2.5,0.0],[18.0,-2.5,0.0],[30.0,-2.5,0.0]],[[-30.0,0.0,0.0],[-18.0,0.0,0.0],[-6.0,0.0,0.0],[6.000000953674316,0.0,0.0],[18.0,0.0,0.0],[30.0,0.0,0.0]],[[-30.0,2.5,0.0],[-18.0,2.5,0.0],[-6.0,2.5,0.0],[6.000000953674316,2.5,0.0],[18.0,2.5,0.0],[30.0,2.5,0.0]]]
diff --git a/examples/jax_fem/requirements.txt b/examples/jax_fem/requirements.txt
new file mode 100644
index 0000000..6d221c4
--- /dev/null
+++ b/examples/jax_fem/requirements.txt
@@ -0,0 +1,2 @@
+pyvista==0.45.2
+numpy==2.2.5
diff --git a/examples/jax_fem/run.sh b/examples/jax_fem/run.sh
new file mode 100644
index 0000000..dfb1523
--- /dev/null
+++ b/examples/jax_fem/run.sh
@@ -0,0 +1,35 @@
+#!/usr/bin/env bash
+
+# the parent dir of this script:
+scriptdir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+# a temporary dir to store the downloads for the example:
+tmpdir=$(mktemp -d)
+workdir="${tmpdir}/tesseract-streamlit"
+
+# clone tesseract-core for its example subdirectory:
+git clone --depth 1 --branch jacan/examples git@github.com:pasteurlabs/tesseract-streamlit.git $workdir
+
+# install requirements for the udf.py module:
+pip install -r "${scriptdir}/requirements.txt"
+
+# build and serve the vectoradd_jax example tesseract:
+example=jax_fem
+tesseract build "${workdir}/examples/${example}"
+tessinfo=$(tesseract serve $example)
+tessid=$(echo $tessinfo | jq -r '.project_id')
+tessport=$(echo $tessinfo | jq -r '.containers[0].port')
+
+# automatically generate the Streamlit app from the served tesseract:
+tesseract-streamlit --user-code "${scriptdir}/udf.py" "http://localhost:${tessport}" "${tmpdir}/app.py"
+
+# launch the web-app:
+streamlit run "${tmpdir}/app.py"
+
+# stop serving the tesseract
+tesseract teardown $tessid
+
+# clean up the temporary directory:
+rm -rf $tmpdir
+
+exit 0
diff --git a/examples/jax_fem/tesseract_api.py b/examples/jax_fem/tesseract_api.py
new file mode 100644
index 0000000..0b66a22
--- /dev/null
+++ b/examples/jax_fem/tesseract_api.py
@@ -0,0 +1,349 @@
+# Copyright 2025 Pasteur Labs. All Rights Reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+# Tesseract API module for jax-fem
+# Generated by tesseract 0.9.0 on 2025-07-03T12:17:32.779918
+
+
+from collections.abc import Callable
+from functools import lru_cache
+
+import jax
+import jax.numpy as jnp
+import numpy as np
+import pyvista as pv
+from jax_fem.generate_mesh import Mesh, get_meshio_cell_type, rectangle_mesh
+from jax_fem.problem import Problem
+from jax_fem.solver import ad_wrapper
+from pydantic import BaseModel, Field
+from tesseract_core.runtime import Array, Differentiable, Float32
+
+#
+# Schemas
+#
+
+
+class InputSchema(BaseModel):
+    bar_params: Differentiable[
+        Array[
+            (None, None, 3),
+            Float32,
+        ]
+    ] = Field(
+        description=(
+            "Vertex positions of the bar geometry. "
+            "The shape is (num_bars, num_vertices, 3), where num_bars is the number of bars "
+            "and num_vertices is the number of vertices per bar. The last dimension represents "
+            "the x, y, z coordinates of each vertex."
+        )
+    )
+
+    bar_radius: float = Field(
+        default=1.5,
+        description=(
+            "Radius of the bars in the geometry. "
+            "This is a scalar value that defines the thickness of the bars."
+        ),
+    )
+
+    Lx: float = Field(
+        default=60.0,
+        description=(
+            "Length of the plane in the x direction. "
+            "This is a scalar value that defines the size of the plane along the x-axis."
+        ),
+    )
+    Ly: float = Field(
+        default=30.0,
+        description=(
+            "Length of the plane in the y direction. "
+            "This is a scalar value that defines the size of the plane along the y-axis."
+        ),
+    )
+    Nx: int = Field(
+        default=60,
+        description=(
+            "Number of points in the x direction. "
+            "This is an integer value that defines the resolution of the plane along the x-axis."
+        ),
+    )
+    Ny: int = Field(
+        default=30,
+        description=(
+            "Number of points in the y direction. "
+            "This is an integer value that defines the resolution of the plane along the y-axis."
+        ),
+    )
+    epsilon: float = Field(
+        default=1e-5,
+        description=(
+            "Epsilon value for finite difference approximation of the Jacobian. "
+            "This is a small scalar value used to compute the numerical gradient."
+        ),
+    )
+
+
+class OutputSchema(BaseModel):
+    compliance: Differentiable[
+        Array[
+            (),
+            Float32,
+        ]
+    ] = Field(description="Compliance of the structure, a measure of stiffness")
+
+
+#
+# Helper functions
+#
+
+
+def build_geometry(
+    params: np.ndarray,
+    radius: float,
+) -> list[pv.PolyData]:
+    """Build a pyvista geometry from the parameters.
+
+    The parameters are expected to be of shape (n_chains, n_edges_per_chain + 1, 3),
+    """
+    n_chains = params.shape[0]
+    geometry = []
+
+    for chain in range(n_chains):
+        tube = pv.Spline(points=params[chain]).tube(radius=radius, capping=False)
+        geometry.append(tube)
+
+    return geometry
+
+
+def compute_sdf(
+    params: np.ndarray,
+    radius: float,
+    Lx: float,
+    Ly: float,
+    Nx: int,
+    Ny: int,
+) -> pv.PolyData:
+    """Create a pyvista plane that has the SDF values stored as a vertex attribute.
+
+    The SDF field is computed based on the geometry defined by the parameters.
+    """
+    grid_coords = pv.Plane(
+        center=(0, 0, 0),
+        direction=(0, 0, 1),
+        i_size=Lx,
+        j_size=Ly,
+        i_resolution=Nx - 1,
+        j_resolution=Ny - 1,
+    )
+    grid_coords = grid_coords.triangulate()
+
+    geometries = build_geometry(
+        params,
+        radius=radius,
+    )
+
+    sdf_field = None
+
+    for geometry in geometries:
+        # Compute the implicit distance from the geometry to the grid coordinates.
+        # The implicit distance is a signed distance field, where positive values
+        # are outside the geometry and negative values are inside.
+        this_sdf = grid_coords.compute_implicit_distance(geometry.triangulate())
+        if sdf_field is None:
+            sdf_field = this_sdf
+        else:
+            sdf_field["implicit_distance"] = np.minimum(
+                sdf_field["implicit_distance"], this_sdf["implicit_distance"]
+            )
+
+    return sdf_field
+
+
+def sdf_to_rho(
+    sdf: jnp.ndarray, scale: float = 4.0, offset: float = 1.0
+) -> jnp.ndarray:
+    """Convert signed distance function to material density using sigmoid.
+
+    Args:
+        sdf: Signed distance function values.
+        scale: Sigmoid steepness (higher = sharper transition).
+        offset: SDF value where density = 0.5.
+
+    Returns:
+        Material density field in [0,1].
+    """
+    return 1 / (1 + jnp.exp(scale * sdf - offset))
+
+
+# Define constitutive relationship
+# Adapted from JAX-FEM
+# https://github.com/deepmodeling/jax-fem/blob/1bdbf060bb32951d04ed9848c238c9a470fee1b4/demos/topology_optimization/example.py
+class Elasticity(Problem):
+    def custom_init(self):
+        self.fe = self.fes[0]
+        self.fe.flex_inds = jnp.arange(len(self.fe.cells))
+
+    def get_tensor_map(self):
+        def stress(u_grad, theta):
+            Emax = 70.0e3
+            Emin = 1e-3 * Emax
+            nu = 0.3
+            penal = 3.0
+            E = Emin + (Emax - Emin) * theta[0] ** penal
+            epsilon = 0.5 * (u_grad + u_grad.T)
+            eps11 = epsilon[0, 0]
+            eps22 = epsilon[1, 1]
+            eps12 = epsilon[0, 1]
+            sig11 = E / (1 + nu) / (1 - nu) * (eps11 + nu * eps22)
+            sig22 = E / (1 + nu) / (1 - nu) * (nu * eps11 + eps22)
+            sig12 = E / (1 + nu) * eps12
+            sigma = jnp.array([[sig11, sig12], [sig12, sig22]])
+            return sigma
+
+        return stress
+
+    def get_surface_maps(self):
+        def surface_map(u, x):
+            return jnp.array([0.0, 100.0])
+
+        return [surface_map]
+
+    def set_params(self, params):
+        # Override base class method.
+        full_params = jnp.ones((self.fe.num_cells, params.shape[1]))
+        full_params = full_params.at[self.fe.flex_inds].set(params)
+        thetas = jnp.repeat(full_params[:, None, :], self.fe.num_quads, axis=1)
+        self.full_params = full_params
+        self.internal_vars = [thetas]
+
+    def compute_compliance(self, sol):
+        # Surface integral
+        boundary_inds = self.boundary_inds_list[0]
+        _, nanson_scale = self.fe.get_face_shape_grads(boundary_inds)
+        u_face = (
+            sol[self.fe.cells][boundary_inds[:, 0]][:, None, :, :]
+            * self.fe.face_shape_vals[boundary_inds[:, 1]][:, :, :, None]
+        )
+        u_face = jnp.sum(u_face, axis=2)
+        subset_quad_points = self.physical_surface_quad_points[0]
+        neumann_fn = self.get_surface_maps()[0]
+        traction = -jax.vmap(jax.vmap(neumann_fn))(u_face, subset_quad_points)
+        val = jnp.sum(traction * u_face * nanson_scale[:, :, None])
+        return val
+
+
+# Memoize the setup function to avoid expensive recomputation
+@lru_cache(maxsize=1)
+def setup(
+    Nx: int = 60,
+    Ny: int = 30,
+    Lx: float = 60.0,
+    Ly: float = 30.0,
+) -> tuple[Elasticity, Callable]:
+    # Specify mesh-related information. We use first-order quadrilateral element.
+    ele_type = "QUAD4"
+    cell_type = get_meshio_cell_type(ele_type)
+    meshio_mesh = rectangle_mesh(Nx=Nx, Ny=Ny, domain_x=Lx, domain_y=Ly)
+    mesh = Mesh(meshio_mesh.points, meshio_mesh.cells_dict[cell_type])
+
+    # Define boundary conditions and values.
+    def fixed_location(point):
+        return jnp.isclose(point[0], 0.0, atol=1e-5)
+
+    def load_location(point):
+        return jnp.logical_and(
+            jnp.isclose(point[0], Lx, atol=1e-5),
+            jnp.isclose(point[1], 0.0, atol=0.1 * Ly + 1e-5),
+        )
+
+    def dirichlet_val(point):
+        return 0.0
+
+    dirichlet_bc_info = [[fixed_location] * 2, [0, 1], [dirichlet_val] * 2]
+
+    location_fns = [load_location]
+
+    # Define forward problem
+    problem = Elasticity(
+        mesh,
+        vec=2,
+        dim=2,
+        ele_type=ele_type,
+        dirichlet_bc_info=dirichlet_bc_info,
+        location_fns=location_fns,
+    )
+
+    # Apply the automatic differentiation wrapper
+    # This is a critical step that makes the problem solver differentiable
+    fwd_pred = ad_wrapper(
+        problem,
+        solver_options={"umfpack_solver": {}},
+        adjoint_solver_options={"umfpack_solver": {}},
+    )
+    return problem, fwd_pred
+
+
+#
+# Required endpoints
+#
+
+
+def apply(inputs: InputSchema) -> OutputSchema:
+    """Computes the compliance of a structure.
+
+    Gridded signed distance function (SDF) is computed from a set of
+    shape parameters, which are taken as inputs.
+    Parameters define control points and radii of piecewise 3D tubes.
+
+    JAX-FEM evaluates compliance of the structure from density as a
+    function of the SDF field.
+    """
+    Nx, Ny, Lx, Ly = inputs.Nx, inputs.Ny, inputs.Lx, inputs.Ly
+    sdf_geom = compute_sdf(
+        params=inputs.bar_params,
+        radius=inputs.bar_radius,
+        Lx=Lx,
+        Ly=Ly,
+        Nx=Nx,
+        Ny=Ny,
+    )["implicit_distance"]
+    sdf = sdf_geom.reshape((Ny, Nx)).T
+    density = jnp.reshape(sdf_to_rho(sdf), (Nx * Ny, 1))
+    problem, fwd_pred = setup(
+        Nx=Nx,
+        Ny=Ny,
+        Lx=Lx,
+        Ly=Ly,
+    )
+    sol_list = fwd_pred(density)
+    compliance = problem.compute_compliance(sol_list[0])
+    return OutputSchema(compliance=compliance)
+
+
+#
+# Optional endpoints
+#
+
+# import numpy as np
+
+# def jacobian(inputs: InputSchema, jac_inputs: set[str], jac_outputs: set[str]):
+#     return {}
+
+# def jacobian_vector_product(
+#     inputs: InputSchema,
+#     jvp_inputs: set[str],
+#     jvp_outputs: set[str],
+#     tangent_vector: dict[str, np.typing.ArrayLike]
+# ) -> dict[str, np.typing.ArrayLike]:
+#     return {}
+
+# def vector_jacobian_product(
+#     inputs: InputSchema,
+#     vjp_inputs: set[str],
+#     vjp_outputs: set[str],
+#     cotangent_vector: dict[str, np.typing.ArrayLike]
+# ) -> dict[str, np.typing.ArrayLike]:
+#     return {}
+
+# def abstract_eval(abstract_inputs):
+#     return {}
diff --git a/examples/jax_fem/tesseract_config.yaml b/examples/jax_fem/tesseract_config.yaml
new file mode 100644
index 0000000..2aa8424
--- /dev/null
+++ b/examples/jax_fem/tesseract_config.yaml
@@ -0,0 +1,38 @@
+# Tesseract configuration file
+# Generated by tesseract 0.9.0 on 2025-07-03T12:17:32.779918
+
+name: "jax_fem"
+version: "0.1.0"
+description: |
+  Tesseract that computes the compliance of a structure from its gridded signed
+  distance function (SDF), computed from a set of shape parameters.
+
+  Parameters are expected to define the control points and radii of piecewise
+  linear tubes in 3D space.
+
+
+build_config:
+  # Base image to use for the container, must be Ubuntu or Debian-based
+  # base_image: "debian:bookworm-slim"
+
+  # Platform to build the container for. In general, images can only be executed
+  # on the platform they were built for.
+  target_platform: "linux/x86_64"
+  base_image: "condaforge/miniforge3:latest"
+  requirements:
+    provider: conda
+  extra_packages:
+    - libgl1
+
+  # Additional packages to install in the container (via apt-get)
+  # extra_packages:
+  #  - package_name
+
+  # Data to copy into the container, relative to the project root
+  # package_data:
+  #  - [path/to/source, path/to/destination]
+
+  # Additional Dockerfile commands to run during the build process
+  # custom_build_steps:
+  #  - |
+  #   RUN echo "Hello, World!"
diff --git a/examples/jax_fem/tesseract_environment.yaml b/examples/jax_fem/tesseract_environment.yaml
new file mode 100644
index 0000000..9b5db26
--- /dev/null
+++ b/examples/jax_fem/tesseract_environment.yaml
@@ -0,0 +1,22 @@
+name: jax-fem-env
+channels:
+  - conda-forge
+dependencies:
+  - python==3.12
+  - numpy==1.26.4
+  - scipy==1.15.2
+  - matplotlib==3.10.3
+  - meshio==5.3.5
+  - petsc4py==3.23.3
+  - fenics==2019.1.0
+  - gmsh==4.13.1
+  - python-gmsh==4.13.1
+  - pip
+  - pyvista=0.45.2
+  - pip:
+    - setuptools
+    - wheel
+    - fenics-basix==0.9.0
+    - pyfiglet==1.0.3
+    - jax[cpu]==0.5.3
+    - jax-fem==0.0.9
diff --git a/examples/jax_fem/udf.py b/examples/jax_fem/udf.py
new file mode 100644
index 0000000..42c4193
--- /dev/null
+++ b/examples/jax_fem/udf.py
@@ -0,0 +1,89 @@
+import typing
+
+import numpy as np
+import pyvista as pv
+
+
+def _build_geometry(
+    params: np.ndarray,
+    radius: float,
+) -> list[pv.PolyData]:
+    """Build a pyvista geometry from the parameters.
+
+    The parameters are expected to be of shape (n_chains, n_edges_per_chain + 1, 3),
+    """
+    n_chains = params.shape[0]
+    geometry = []
+
+    for chain in range(n_chains):
+        tube = pv.Spline(points=params[chain]).tube(radius=radius, capping=False)
+        geometry.append(tube)
+
+    return geometry
+
+
+def _compute_sdf(
+    params: np.ndarray,
+    radius: float,
+    Lx: float,
+    Ly: float,
+    Nx: int,
+    Ny: int,
+) -> pv.PolyData:
+    """Create a pyvista plane that has the SDF values stored as a vertex attribute.
+
+    The SDF field is computed based on the geometry defined by the parameters.
+    """
+    grid_coords = pv.Plane(
+        center=(0, 0, 0),
+        direction=(0, 0, 1),
+        i_size=Lx,
+        j_size=Ly,
+        i_resolution=Nx - 1,
+        j_resolution=Ny - 1,
+    )
+    grid_coords = grid_coords.triangulate()
+
+    geometries = _build_geometry(
+        params,
+        radius=radius,
+    )
+
+    sdf_field = None
+
+    for geometry in geometries:
+        # Compute the implicit distance from the geometry to the grid coordinates.
+        # The implicit distance is a signed distance field, where positive values
+        # are outside the geometry and negative values are inside.
+        this_sdf = grid_coords.compute_implicit_distance(geometry.triangulate())
+        if sdf_field is None:
+            sdf_field = this_sdf
+        else:
+            sdf_field["implicit_distance"] = np.minimum(
+                sdf_field["implicit_distance"], this_sdf["implicit_distance"]
+            )
+
+    return sdf_field
+
+
+def input_geometry(inputs: dict[str, typing.Any]) -> pv.Plotter:
+    """Display the geometry defined by the parameters.
+
+    Shows the chains formed of bars, and the signed distance field
+    around them.
+    """
+    bar_params, bar_radius = np.array(inputs["bar_params"]), inputs["bar_radius"]
+    Lx, Ly, Nx, Ny = inputs["Lx"], inputs["Ly"], inputs["Nx"], inputs["Ny"]
+    geometries = _build_geometry(bar_params, bar_radius)
+    # Concatenate all pipe geometries into a single PolyData object
+    geometry = sum(geometries, start=pv.PolyData())
+    sdf = _compute_sdf(bar_params, radius=bar_radius, Lx=Lx, Ly=Ly, Nx=Nx, Ny=Ny)
+    isoval = sdf.contour(isosurfaces=[0.0], scalars="implicit_distance")
+
+    plotter = pv.Plotter()
+    plotter.add_mesh(geometry, color="lightblue", show_edges=True, edge_color="black")
+    plotter.add_mesh(
+        sdf, scalars="implicit_distance", cmap="coolwarm", show_edges=False
+    )
+    plotter.add_mesh(isoval, color="red", show_edges=True, line_width=2)
+    return plotter
diff --git a/examples/vectoradd_jax/README.md b/examples/vectoradd_jax/README.md
new file mode 100644
index 0000000..c7c9666
--- /dev/null
+++ b/examples/vectoradd_jax/README.md
@@ -0,0 +1,86 @@
+# Visualising `vectoradd_jax` with Streamlit
+
+This example shows how to quickly generate a Streamlit app to interact with the `vectoradd_jax` Tesseract.
+Using `tesseract-streamlit`, you'll get an app with autogenerated input controls and optional Python-defined visualisations — no UI code needed! 🚀
+
+---
+
+## 📥 Step 1: Download the Example Code
+
+We'll use the `vectoradd_jax` example from `tesseract-core` version `v0.9.0`. Clone it with:
+
+```shell
+git clone --depth 1 --branch v0.9.0 https://github.com/pasteurlabs/tesseract-core.git ~/Downloads/tesseract-core
+```
+
+---
+
+## 📦 Step 2: Install Requirements
+
+Install the required packages for this example:
+
+```bash
+pip install -r requirements.txt
+```
+
+---
+
+## 🛠️ Step 3: Build and Serve the Tesseract
+
+Use the Tesseract CLI to build and serve `vectoradd_jax`:
+
+```bash
+tesseract build ~/Downloads/tesseract-core/examples/vectoradd_jax
+tesseract serve vectoradd_jax
+```
+
+> [!NOTE]
+> Make note of the `PORT` and `PROJECT ID` printed to stdout — you'll need them shortly.
+
+---
+
+## ⚡ Step 4: Generate the Streamlit App
+
+With `tesseract-streamlit` installed, generate a ready-to-run Streamlit app:
+
+```bash
+tesseract-streamlit --user-code udf.py "http://localhost:<PORT>" app.py
+```
+
+`udf.py` can be found in under `tesseract-streamlit/examples/vectoradd_jax/`.
+It contains a custom function that takes the Tesseract's inputs and outputs and drops a Plotly-powered vector addition diagram straight into the web UI — automatically! 🎯
+Check it out to see how it works.
+
+---
+
+## ▶️ Step 5: Launch the App
+
+Run your new app with:
+
+```bash
+streamlit run app.py
+```
+
+This will launch a web interface for submitting inputs, running the Tesseract, and visualising the results.
+
+---
+
+## 🖼️ Screenshots
+
+| ![](screenshots/header-vec-a.png) | ![](screenshots/outputs.png) |
+| --------------------------------- | ---------------------------- |
+| ![](screenshots/vec-b.png)        | ![](screenshots/plot.png)    |
+
+---
+
+## 🧹 Step 6: Clean Up
+
+When you're done, you can stop the Tesseract server with:
+
+```bash
+tesseract teardown <PROJECT ID>
+```
+
+---
+
+🎉 That’s it — you've transformed a running Tesseract into a beautiful Streamlit web app with interactive plots, with minimal effort from the command line!
diff --git a/examples/requirements.txt b/examples/vectoradd_jax/requirements.txt
similarity index 100%
rename from examples/requirements.txt
rename to examples/vectoradd_jax/requirements.txt
diff --git a/examples/run.sh b/examples/vectoradd_jax/run.sh
similarity index 100%
rename from examples/run.sh
rename to examples/vectoradd_jax/run.sh
diff --git a/examples/screenshots/header-vec-a.png b/examples/vectoradd_jax/screenshots/header-vec-a.png
similarity index 100%
rename from examples/screenshots/header-vec-a.png
rename to examples/vectoradd_jax/screenshots/header-vec-a.png
diff --git a/examples/screenshots/outputs.png b/examples/vectoradd_jax/screenshots/outputs.png
similarity index 100%
rename from examples/screenshots/outputs.png
rename to examples/vectoradd_jax/screenshots/outputs.png
diff --git a/examples/screenshots/plot.png b/examples/vectoradd_jax/screenshots/plot.png
similarity index 100%
rename from examples/screenshots/plot.png
rename to examples/vectoradd_jax/screenshots/plot.png
diff --git a/examples/screenshots/vec-b.png b/examples/vectoradd_jax/screenshots/vec-b.png
similarity index 100%
rename from examples/screenshots/vec-b.png
rename to examples/vectoradd_jax/screenshots/vec-b.png
diff --git a/examples/udf.py b/examples/vectoradd_jax/udf.py
similarity index 100%
rename from examples/udf.py
rename to examples/vectoradd_jax/udf.py
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diff --git a/pyproject.toml b/pyproject.toml
index ee57fe9..4c85599 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ dependencies = [
     "tesseract-core",
     "jinja2",
     "numpy",
-    "pyvista",
+    "pyvista[jupyter]",
     "stpyvista",
     "typing-extensions",
     "requests",
diff --git a/requirements.txt b/requirements.txt
index 715a5b4..fba0088 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,15 +1,40 @@
 # This file was autogenerated by uv via the following command:
 #    uv export --frozen --color never --no-emit-project --no-hashes
+aiohappyeyeballs==2.6.1
+    # via aiohttp
+aiohttp==3.12.13
+    # via
+    #   jupyter-server-proxy
+    #   wslink
+aiosignal==1.4.0
+    # via aiohttp
 altair==5.5.0
     # via streamlit
 annotated-types==0.7.0
     # via pydantic
+anyio==4.9.0
+    # via jupyter-server
+argon2-cffi==25.1.0
+    # via jupyter-server
+argon2-cffi-bindings==21.2.0
+    # via argon2-cffi
+arrow==1.3.0
+    # via isoduration
+asttokens==3.0.0
+    # via stack-data
+async-timeout==5.0.1 ; python_full_version < '3.11'
+    # via aiohttp
 attrs==25.3.0
     # via
+    #   aiohttp
     #   jsonschema
     #   referencing
+beautifulsoup4==4.13.4
+    # via nbconvert
 bleach==6.2.0
-    # via panel
+    # via
+    #   nbconvert
+    #   panel
 blinker==1.9.0
     # via streamlit
 bokeh==3.7.3
@@ -20,6 +45,10 @@ cachetools==6.1.0
     # via streamlit
 certifi==2025.6.15
     # via requests
+cffi==1.17.1
+    # via
+    #   argon2-cffi-bindings
+    #   pyzmq
 charset-normalizer==3.4.2
     # via requests
 click==8.2.1
@@ -30,32 +59,99 @@ click==8.2.1
 colorama==0.4.6 ; sys_platform == 'win32'
     # via
     #   click
+    #   ipython
     #   tqdm
+comm==0.2.2
+    # via ipywidgets
 contourpy==1.3.2
     # via
     #   bokeh
     #   matplotlib
 cycler==0.12.1
     # via matplotlib
+decorator==5.2.1
+    # via ipython
+defusedxml==0.7.1
+    # via nbconvert
+exceptiongroup==1.3.0 ; python_full_version < '3.11'
+    # via
+    #   anyio
+    #   ipython
+executing==2.2.0
+    # via stack-data
+fastjsonschema==2.21.1
+    # via nbformat
 fonttools==4.58.5
     # via matplotlib
+fqdn==1.5.1
+    # via jsonschema
+frozenlist==1.7.0
+    # via
+    #   aiohttp
+    #   aiosignal
 gitdb==4.0.12
     # via gitpython
 gitpython==3.1.44
     # via streamlit
 idna==3.10
-    # via requests
+    # via
+    #   anyio
+    #   jsonschema
+    #   requests
+    #   yarl
+ipython==8.37.0 ; python_full_version < '3.11'
+    # via ipywidgets
+ipython==9.4.0 ; python_full_version >= '3.11'
+    # via ipywidgets
+ipython-pygments-lexers==1.1.1 ; python_full_version >= '3.11'
+    # via ipython
+ipywidgets==8.1.7
+    # via pyvista
+isoduration==20.11.0
+    # via jsonschema
+jedi==0.19.2
+    # via ipython
 jinja2==3.1.6
     # via
     #   altair
     #   bokeh
+    #   jupyter-server
+    #   nbconvert
     #   pydeck
     #   tesseract-core
     #   tesseract-streamlit
+jsonpointer==3.0.0
+    # via jsonschema
 jsonschema==4.24.0
-    # via altair
+    # via
+    #   altair
+    #   jupyter-events
+    #   nbformat
 jsonschema-specifications==2025.4.1
     # via jsonschema
+jupyter-client==8.6.3
+    # via
+    #   jupyter-server
+    #   nbclient
+jupyter-core==5.8.1
+    # via
+    #   jupyter-client
+    #   jupyter-server
+    #   nbclient
+    #   nbconvert
+    #   nbformat
+jupyter-events==0.12.0
+    # via jupyter-server
+jupyter-server==2.16.0
+    # via jupyter-server-proxy
+jupyter-server-proxy==4.4.0
+    # via pyvista
+jupyter-server-terminals==0.5.3
+    # via jupyter-server
+jupyterlab-pygments==0.3.0
+    # via nbconvert
+jupyterlab-widgets==3.0.15
+    # via ipywidgets
 kiwisolver==1.4.8
     # via matplotlib
 linkify-it-py==2.0.3
@@ -68,19 +164,44 @@ markdown-it-py==3.0.0
     #   panel
     #   rich
 markupsafe==3.0.2
-    # via jinja2
+    # via
+    #   jinja2
+    #   nbconvert
 matplotlib==3.10.3
     # via
     #   pyvista
     #   vtk
+matplotlib-inline==0.1.7
+    # via ipython
 mdit-py-plugins==0.4.2
     # via panel
 mdurl==0.1.2
     # via markdown-it-py
+mistune==3.1.3
+    # via nbconvert
+more-itertools==10.7.0
+    # via trame-server
+msgpack==1.1.1
+    # via wslink
+multidict==6.6.3
+    # via
+    #   aiohttp
+    #   yarl
 narwhals==1.45.0
     # via
     #   altair
     #   bokeh
+nbclient==0.10.2
+    # via nbconvert
+nbconvert==7.16.6
+    # via jupyter-server
+nbformat==5.10.4
+    # via
+    #   jupyter-server
+    #   nbclient
+    #   nbconvert
+nest-asyncio==1.6.0
+    # via pyvista
 numpy==2.2.6 ; python_full_version < '3.11'
     # via
     #   bokeh
@@ -105,11 +226,16 @@ numpy==2.3.1 ; python_full_version >= '3.11'
     #   tesseract-streamlit
 orjson==3.10.18
     # via tesseract-streamlit
+overrides==7.7.0
+    # via jupyter-server
 packaging==25.0
     # via
     #   altair
     #   bokeh
+    #   jupyter-events
+    #   jupyter-server
     #   matplotlib
+    #   nbconvert
     #   panel
     #   pooch
     #   streamlit
@@ -118,12 +244,18 @@ pandas==2.3.0
     #   bokeh
     #   panel
     #   streamlit
+pandocfilters==1.5.1
+    # via nbconvert
 panel==1.7.2
     # via stpyvista
 param==2.2.1
     # via
     #   panel
     #   pyviz-comms
+parso==0.8.4
+    # via jedi
+pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
+    # via ipython
 pillow==11.3.0
     # via
     #   bokeh
@@ -133,13 +265,31 @@ pillow==11.3.0
 pip==25.1.1
     # via tesseract-core
 platformdirs==4.3.8
-    # via pooch
+    # via
+    #   jupyter-core
+    #   pooch
 pooch==1.8.2
     # via pyvista
+prometheus-client==0.22.1
+    # via jupyter-server
+prompt-toolkit==3.0.51
+    # via ipython
+propcache==0.3.2
+    # via
+    #   aiohttp
+    #   yarl
 protobuf==6.31.1
     # via streamlit
+ptyprocess==0.7.0 ; os_name != 'nt' or (sys_platform != 'emscripten' and sys_platform != 'win32')
+    # via
+    #   pexpect
+    #   terminado
+pure-eval==0.2.3
+    # via stack-data
 pyarrow==20.0.0
     # via streamlit
+pycparser==2.22
+    # via cffi
 pydantic==2.11.7
     # via tesseract-core
 pydantic-core==2.33.2
@@ -147,13 +297,21 @@ pydantic-core==2.33.2
 pydeck==0.9.1
     # via streamlit
 pygments==2.19.2
-    # via rich
+    # via
+    #   ipython
+    #   ipython-pygments-lexers
+    #   nbconvert
+    #   rich
 pyparsing==3.2.3
     # via matplotlib
 python-dateutil==2.9.0.post0
     # via
+    #   arrow
+    #   jupyter-client
     #   matplotlib
     #   pandas
+python-json-logger==3.3.0
+    # via jupyter-events
 pytz==2025.2
     # via pandas
 pyvista==0.45.2
@@ -162,14 +320,28 @@ pyvista==0.45.2
     #   tesseract-streamlit
 pyviz-comms==3.0.6
     # via panel
+pywin32==310 ; platform_python_implementation != 'PyPy' and sys_platform == 'win32'
+    # via jupyter-core
+pywinpty==2.0.15 ; os_name == 'nt'
+    # via
+    #   jupyter-server
+    #   jupyter-server-terminals
+    #   terminado
 pyyaml==6.0.2
     # via
     #   bokeh
+    #   jupyter-events
     #   tesseract-core
+    #   trame
+pyzmq==27.0.0
+    # via
+    #   jupyter-client
+    #   jupyter-server
 referencing==0.36.2
     # via
     #   jsonschema
     #   jsonschema-specifications
+    #   jupyter-events
 requests==2.32.4
     # via
     #   panel
@@ -177,6 +349,14 @@ requests==2.32.4
     #   streamlit
     #   tesseract-core
     #   tesseract-streamlit
+rfc3339-validator==0.1.4
+    # via
+    #   jsonschema
+    #   jupyter-events
+rfc3986-validator==0.1.1
+    # via
+    #   jsonschema
+    #   jupyter-events
 rich==14.0.0
     # via
     #   tesseract-core
@@ -187,12 +367,24 @@ rpds-py==0.26.0
     #   referencing
 scooby==0.10.1
     # via pyvista
+send2trash==1.8.3
+    # via jupyter-server
 shellingham==1.5.4
     # via typer
+simpervisor==1.0.0
+    # via jupyter-server-proxy
 six==1.17.0
-    # via python-dateutil
+    # via
+    #   python-dateutil
+    #   rfc3339-validator
 smmap==5.0.2
     # via gitdb
+sniffio==1.3.1
+    # via anyio
+soupsieve==2.7
+    # via beautifulsoup4
+stack-data==0.6.3
+    # via ipython
 stpyvista==0.1.4
     # via tesseract-streamlit
 streamlit==1.46.1
@@ -201,21 +393,74 @@ streamlit==1.46.1
     #   tesseract-streamlit
 tenacity==9.1.2
     # via streamlit
+terminado==0.18.1
+    # via
+    #   jupyter-server
+    #   jupyter-server-terminals
 tesseract-core==0.9.1
     # via tesseract-streamlit
+tinycss2==1.4.0
+    # via bleach
 toml==0.10.2
     # via streamlit
 tornado==6.5.1
     # via
     #   bokeh
+    #   jupyter-client
+    #   jupyter-server
+    #   jupyter-server-proxy
     #   streamlit
+    #   terminado
 tqdm==4.67.1
     # via panel
+traitlets==5.14.3
+    # via
+    #   comm
+    #   ipython
+    #   ipywidgets
+    #   jupyter-client
+    #   jupyter-core
+    #   jupyter-events
+    #   jupyter-server
+    #   jupyter-server-proxy
+    #   matplotlib-inline
+    #   nbclient
+    #   nbconvert
+    #   nbformat
+trame==3.10.2
+    # via pyvista
+trame-client==3.9.1
+    # via
+    #   pyvista
+    #   trame
+    #   trame-vtk
+    #   trame-vuetify
+trame-common==1.0.0
+    # via
+    #   trame
+    #   trame-client
+trame-server==3.4.2
+    # via
+    #   pyvista
+    #   trame
+trame-vtk==2.9.0
+    # via pyvista
+trame-vuetify==3.0.1
+    # via pyvista
 typer==0.16.0
     # via tesseract-core
+types-python-dateutil==2.9.0.20250516
+    # via arrow
 typing-extensions==4.14.1
     # via
+    #   aiosignal
     #   altair
+    #   anyio
+    #   beautifulsoup4
+    #   exceptiongroup
+    #   ipython
+    #   mistune
+    #   multidict
     #   panel
     #   pydantic
     #   pydantic-core
@@ -232,13 +477,31 @@ tzdata==2025.2
     # via pandas
 uc-micro-py==1.0.3
     # via linkify-it-py
+uri-template==1.3.0
+    # via jsonschema
 urllib3==2.5.0
     # via requests
 vtk==9.4.2
     # via pyvista
 watchdog==6.0.0 ; sys_platform != 'darwin'
     # via streamlit
+wcwidth==0.2.13
+    # via prompt-toolkit
+webcolors==24.11.1
+    # via jsonschema
 webencodings==0.5.1
-    # via bleach
+    # via
+    #   bleach
+    #   tinycss2
+websocket-client==1.8.0
+    # via jupyter-server
+widgetsnbextension==4.0.14
+    # via ipywidgets
+wslink==2.3.4
+    # via
+    #   trame
+    #   trame-server
 xyzservices==2025.4.0
     # via bokeh
+yarl==1.20.1
+    # via aiohttp
diff --git a/ruff.toml b/ruff.toml
index 119ae02..95c3ab4 100644
--- a/ruff.toml
+++ b/ruff.toml
@@ -43,6 +43,7 @@ ignore = [
 [lint.extend-per-file-ignores]
 # Ignore missing docstrings and type annotations for selected directories
 "tests/*" = ["D101", "D102", "D103", "ANN"]
+"examples/*" = ["D101", "D102", "D103", "ANN"]
 
 [lint.pydocstyle]
 convention = "google"
diff --git a/tesseract_streamlit/cli.py b/tesseract_streamlit/cli.py
index a16f8f4..1a7437c 100644
--- a/tesseract_streamlit/cli.py
+++ b/tesseract_streamlit/cli.py
@@ -32,11 +32,19 @@
     default=True,
     show_default=True,
 )
+@click.option(
+    "--exponential-floats/--no-exponential-floats",
+    is_flag=True,
+    help="All float input fields formatted as exponential.",
+    default=False,
+    show_default=True,
+)
 def main(
     url: str,
     output: io.TextIOWrapper,
     user_code: Path | None,
     submit: bool,
+    exponential_floats: bool,
 ) -> None:
     """Generates a Streamlit app from Tesseract OpenAPI schemas.
 
@@ -54,5 +62,9 @@ def main(
     )
     template = env.get_template("templates/template.j2")
     render_kwargs = extract_template_data(url, user_code, submit)
-    rendered_code = template.render(**render_kwargs, test=test)
+    rendered_code = template.render(
+        **render_kwargs,
+        test=test,
+        exponential_floats=exponential_floats,
+    )
     output.write(rendered_code)
diff --git a/tesseract_streamlit/templates/template.j2 b/tesseract_streamlit/templates/template.j2
index f3074f1..3f381ac 100644
--- a/tesseract_streamlit/templates/template.j2
+++ b/tesseract_streamlit/templates/template.j2
@@ -1,6 +1,8 @@
 #!/usr/bin/env python
 import sys
-import typing as ty
+import functools
+import operator
+import typing
 
 import numpy as np
 import orjson
@@ -8,7 +10,7 @@ import streamlit as st
 from tesseract_core import Tesseract
 
 {% if needs_pyvista %}
-from stpyvista import stpyvista
+from stpyvista.trame_backend import stpyvista
 {% endif %}
 
 {#- MACROS FOR REPEATED TEMPLATE LOGIC
@@ -87,6 +89,10 @@ st.markdown({% if not udf.docs %}""{% else %}
 {{ field.uid }} = {{ field.container }}.number_input(
     "{{ field.get('title', field.uid) }}",
     key="number.{{ field.key }}",
+{# if forced, or default is small, switch to exponential formatting #}
+{% if exponential_floats or (field.get("default", 1) < 0.01) %}
+    format="%.4e",
+{% endif %}
     value={{ field.get("default", None) }},
 )
 {% elif field.type == 'boolean' %}
@@ -197,9 +203,9 @@ PREVIEW_LINE_LIMIT = 100
 
 
 def _insert_nested(
-    dict_node: dict[str, ty.Any],
+    dict_node: dict[str, typing.Any],
     keys: list[str],
-    value: ty.Any,
+    value: typing.Any,
 ) -> None:
     """Recursively insert keys into dictionary `d`."""
     key = keys[0]
@@ -211,7 +217,7 @@ def _insert_nested(
         _insert_nested(dict_node[key], keys[1:], value)
 
 
-def _flat_to_nested(flat_dict: dict[str, ty.Any]) -> dict[str, ty.Any]:
+def _flat_to_nested(flat_dict: dict[str, typing.Any]) -> dict[str, typing.Any]:
     nested = {}
     for flat_key, value in flat_dict.items():
         keys = flat_key.split('.')
@@ -219,14 +225,46 @@ def _flat_to_nested(flat_dict: dict[str, ty.Any]) -> dict[str, ty.Any]:
     return nested
 
 
-def _serialise_json_pretty(data: dict[str, ty.Any]) -> bytes:
+def _nested_setitem(
+    data: dict[str, typing.Any], keys: list[str | int], value: typing.Any
+) -> typing.Any:
+    final_key = keys.pop()
+    penultimate_branch: typing.Any = functools.reduce(
+        operator.getitem, keys, data
+    )
+    penultimate_branch[final_key] = value
+
+
+def _find_numpy_arrays(
+    data: typing.Any, path: str = ""
+) -> typing.Iterator[tuple[str, np.ndarray]]:
+    results = []
+    if isinstance(data, dict):
+        for key, value in data.items():
+            new_path = f"{path}.{key}" if path else str(key)
+            yield from _find_numpy_arrays(value, new_path)
+    elif isinstance(data, list | tuple):
+        for idx, item in enumerate(data):
+            new_path = f"{path}.{idx}"
+            yield from _find_numpy_arrays(item, new_path)
+    elif isinstance(data, np.ndarray):
+        yield (path, data)
+    return results
+
+
+def _serialise_json_pretty(data: dict[str, typing.Any]) -> bytes:
+    for path, array in _find_numpy_arrays(data):
+        keys = path.split(".")
+        keys = [int(k) if k.isdigit() else k for k in keys]
+        if np.ndim(array) == 0:
+            _nested_setitem(data, keys, array.item())
     return orjson.dumps(
         data, option=(orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_INDENT_2)
     )
 
 
 def _tesseract_io_preview(
-    data: dict[str, ty.Any], direction: ty.Literal["input", "output"]
+    data: dict[str, typing.Any], direction: typing.Literal["input", "output"]
 ) -> None:
     st.subheader(f"Tesseract {direction.capitalize()}")
     data_json = _serialise_json_pretty(data)