diff --git a/examples/curve-pot.py b/examples/curve-pot.py
index 023bd7e19bb69b619db9003c2f30111ec23e80ba..db2c667c7f9cd54cf93574439097f3582cc85b3d 100644
--- a/examples/curve-pot.py
+++ b/examples/curve-pot.py
@@ -91,7 +91,8 @@ def draw_pot_figure(aspect_ratio,
         knl_kwargs = {}
 
     vol_source_knl, vol_target_knl = process_kernel(knl, what_operator)
-    p2p = P2P(actx.context, source_kernels=(vol_source_knl,),
+    p2p = P2P(actx.context,
+            source_kernels=(vol_source_knl,),
             target_kernels=(vol_target_knl,),
             exclude_self=False,
             value_dtypes=np.complex128)
@@ -157,35 +158,40 @@ def draw_pot_figure(aspect_ratio,
     lpot_kwargs = knl_kwargs.copy()
 
     if what_operator == "D":
-        volpot_kwargs["src_derivative_dir"] = native_curve.normal
+        volpot_kwargs["src_derivative_dir"] = actx.from_numpy(native_curve.normal)
 
     if what_operator_lpot == "D":
-        lpot_kwargs["src_derivative_dir"] = ovsmp_curve.normal
+        lpot_kwargs["src_derivative_dir"] = actx.from_numpy(ovsmp_curve.normal)
 
     if what_operator_lpot == "S'":
-        lpot_kwargs["tgt_derivative_dir"] = native_curve.normal
+        lpot_kwargs["tgt_derivative_dir"] = actx.from_numpy(native_curve.normal)
 
     # }}}
 
+    targets = actx.from_numpy(fp.points)
+    sources = actx.from_numpy(native_curve.pos)
+    ovsmp_sources = actx.from_numpy(ovsmp_curve.pos)
+
     if 0:
         # {{{ build matrix
 
         from fourier import make_fourier_interp_matrix
         fim = make_fourier_interp_matrix(novsmp, nsrc)
+
         from sumpy.tools import build_matrix
         from scipy.sparse.linalg import LinearOperator
 
         def apply_lpot(x):
             xovsmp = np.dot(fim, x)
             evt, (y,) = lpot(actx.queue,
-                    native_curve.pos,
-                    ovsmp_curve.pos,
-                    centers,
-                    [xovsmp * ovsmp_curve.speed * ovsmp_weights],
-                    expansion_radii=np.ones(centers.shape[1]),
+                    sources,
+                    ovsmp_sources,
+                    actx.from_numpy(centers),
+                    [actx.from_numpy(xovsmp * ovsmp_curve.speed * ovsmp_weights)],
+                    expansion_radii=actx.from_numpy(np.ones(centers.shape[1])),
                     **lpot_kwargs)
 
-            return y
+            return actx.to_numpy(y)
 
         op = LinearOperator((nsrc, nsrc), apply_lpot)
         mat = build_matrix(op, dtype=np.complex128)
@@ -200,19 +206,26 @@ def draw_pot_figure(aspect_ratio,
 
     mode_nr = 0
     density = np.cos(mode_nr*2*np.pi*native_t).astype(np.complex128)
-    ovsmp_density = np.cos(mode_nr*2*np.pi*ovsmp_t).astype(np.complex128)
+    strength = actx.from_numpy(native_curve.speed * native_weights * density)
+
     evt, (vol_pot,) = p2p(actx.queue,
-            fp.points,
-            native_curve.pos,
-            [native_curve.speed*native_weights*density], **volpot_kwargs)
+            targets,
+            sources,
+            [strength], **volpot_kwargs)
+    vol_pot = actx.to_numpy(vol_pot)
+
+    ovsmp_density = np.cos(mode_nr*2*np.pi*ovsmp_t).astype(np.complex128)
+    ovsmp_strength = actx.from_numpy(
+        ovsmp_curve.speed * ovsmp_weights * ovsmp_density)
 
     evt, (curve_pot,) = lpot(actx.queue,
-            native_curve.pos,
-            ovsmp_curve.pos,
-            centers,
-            [ovsmp_density * ovsmp_curve.speed * ovsmp_weights],
-            expansion_radii=np.ones(centers.shape[1]),
+            sources,
+            ovsmp_sources,
+            actx.from_numpy(centers),
+            [ovsmp_strength],
+            expansion_radii=actx.from_numpy(np.ones(centers.shape[1])),
             **lpot_kwargs)
+    curve_pot = actx.to_numpy(curve_pot)
 
     # }}}