diff --git a/example/contriblike/compile.py b/example/contriblike/compile.py
new file mode 100644
index 00000000..5c171419
--- /dev/null
+++ b/example/contriblike/compile.py
@@ -0,0 +1,110 @@
+import ast
+import sys
+from pathlib import Path
+from typing import Any, Sequence, Set
+
+import black
+
+
+def get_tree(path: Path):
+    src = path.read_text()
+    return ast.parse(src)
+
+
+def write_tree(tree, path):
+    new_src = ast.unparse(ast.fix_missing_locations(tree))
+    new_src = black.format_str(new_src, mode=black.FileMode(line_length=120))
+    path.write_text(new_src)
+
+
+# turn op function defs into async function defs
+class OpTransformer(ast.NodeTransformer):
+    def visit_FunctionDef(self, node: ast.FunctionDef) -> ast.AsyncFunctionDef:
+        """any function in ops is an operator. make them async"""
+        self.generic_visit(node)
+        return ast.AsyncFunctionDef(
+            name=node.name,
+            args=node.args,
+            body=node.body,
+            decorator_list=node.decorator_list,
+            returns=node.returns,
+            type_comment=node.type_comment,
+        )
+
+
+class ImportTransformer(ast.NodeTransformer):
+    def __init__(self, *, module_allow_list: Sequence[str] = tuple()):
+        self.known_ops = set()
+        self.module_allow_list = frozenset(
+            {mn for mn in sys.stdlib_module_names if not mn.startswith("_")} | set(module_allow_list)
+        )
+
+    def visit_Import(self, node: ast.Import) -> ast.Import:
+        for alias in node.names:
+            if alias.name.split(".")[0] not in self.module_allow_list:
+                raise ValueError(f"Invalid 'import {alias.name}'.")
+
+        return node
+
+    def visit_ImportFrom(self, node: ast.ImportFrom) -> ast.ImportFrom:
+        if node.module == "ops":
+            for alias_node in node.names:
+                op_name = alias_node.name
+                self.known_ops.add(op_name)
+                if alias_node.asname is not None:
+                    raise ValueError(
+                        f"Please import operator names without 'as', i.e. use '{op_name}' instead of '{alias_node.asname}'."
+                    )
+            node.module = "compiled_ops"
+        elif node.module.split(".")[0] in self.module_allow_list:
+            pass
+        else:
+            raise ValueError(f"Unsupported import from {node.module}")
+
+        return node
+
+
+class OpCallTransformer(ast.NodeTransformer):
+    def __init__(self, known_ops: Set[str]):
+        self.known_ops = known_ops
+
+    def visit_FunctionDef(self, node: ast.FunctionDef) -> ast.AsyncFunctionDef:
+        """any function in wfs is a workflow. make them async"""
+        self.generic_visit(node)
+        return ast.AsyncFunctionDef(
+            name=node.name,
+            args=node.args,
+            body=node.body,
+            decorator_list=node.decorator_list,
+            returns=node.returns,
+            type_comment=node.type_comment,
+        )
+
+    def visit_Call(self, node: ast.Call) -> Any:
+        """await any operator call"""
+        self.generic_visit(node)
+        if isinstance(node.func, ast.Name):
+            if node.func.id in self.known_ops:
+                return ast.Await(node)
+            else:
+                return node
+        elif isinstance(node.func, ast.Attribute):
+            return node  # e.g. method call
+        else:
+            raise NotImplementedError(node.func)
+
+
+ops_path = Path("ops.py")
+ops_tree = get_tree(ops_path)
+ops_tree = OpTransformer().visit(ops_tree)
+write_tree(ops_tree, ops_path.with_name("compiled_" + ops_path.name))
+
+wfs_path = Path("wfs.py")
+wfs_tree = get_tree(wfs_path)
+
+allowed_module_names = []  # todo: add modules from appropriate env to allow-list
+import_transformer = ImportTransformer(module_allow_list=allowed_module_names)
+wfs_tree = import_transformer.visit(wfs_tree)
+wfs_tree = OpCallTransformer(known_ops=import_transformer.known_ops).visit(wfs_tree)
+
+write_tree(wfs_tree, wfs_path.with_name("compiled_" + wfs_path.name))
diff --git a/example/contriblike/compiled_ops.py b/example/contriblike/compiled_ops.py
new file mode 100644
index 00000000..ef2304f9
--- /dev/null
+++ b/example/contriblike/compiled_ops.py
@@ -0,0 +1,25 @@
+import shutil
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+from typing import Tuple
+
+
+async def my_op(a: int) -> str:
+    return f"{a:~^10}"
+
+
+async def heavy_compute(p):
+    Path(p).write_text("done")
+
+
+async def parallel_op(*, max_thread_workers: int) -> Tuple[str, str]:
+    srcs = ("src1.txt", "src2.txt")
+    dests = ("dest1.txt", "dest2.txt")
+    with ThreadPoolExecutor(max_workers=max_thread_workers) as e:
+        for (src, dest) in zip(srcs, dests):
+            e.submit(shutil.copy, src, dest)
+    return dests
+
+
+if __name__ == "__main__":
+    print(my_op(5))
diff --git a/example/contriblike/compiled_wfs.py b/example/contriblike/compiled_wfs.py
new file mode 100644
index 00000000..a1cec812
--- /dev/null
+++ b/example/contriblike/compiled_wfs.py
@@ -0,0 +1,20 @@
+from concurrent.futures import ProcessPoolExecutor
+from typing import Dict, Tuple
+from compiled_ops import heavy_compute, my_op, parallel_op
+
+
+async def my_wf(a: int) -> Dict[str, str]:
+    m = await my_op(a)
+    return {"centered": m}
+
+
+async def wf_with_p_ops(*, max_thread_workers: int, max_process_workers: int) -> Tuple[str, str]:
+    with ProcessPoolExecutor(max_workers=max_process_workers) as e:
+        e.submit(heavy_compute, "src1.txt")
+        e.submit(heavy_compute, "src2.txt")
+    return await parallel_op(max_thread_workers=max_thread_workers)
+
+
+if __name__ == "__main__":
+    print(my_wf(5))
+    print(wf_with_p_ops(max_thread_workers=2, max_process_workers=2))
diff --git a/example/contriblike/ops.py b/example/contriblike/ops.py
new file mode 100644
index 00000000..2b606cf9
--- /dev/null
+++ b/example/contriblike/ops.py
@@ -0,0 +1,26 @@
+import shutil
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+from typing import Tuple
+
+
+def my_op(a: int) -> str:
+    return f"{a:~^10}"
+
+
+async def heavy_compute(p):
+    Path(p).write_text("done")
+
+
+def parallel_op(*, max_thread_workers: int) -> Tuple[str, str]:
+    srcs = ("src1.txt", "src2.txt")
+    dests = ("dest1.txt", "dest2.txt")
+    with ThreadPoolExecutor(max_workers=max_thread_workers) as e:
+        for src, dest in zip(srcs, dests):
+            e.submit(shutil.copy, src, dest)
+
+    return dests
+
+
+if __name__ == "__main__":
+    print(my_op(5))
diff --git a/example/contriblike/wfs.py b/example/contriblike/wfs.py
new file mode 100644
index 00000000..1b56fe3a
--- /dev/null
+++ b/example/contriblike/wfs.py
@@ -0,0 +1,22 @@
+from concurrent.futures import ProcessPoolExecutor
+from typing import Dict, Tuple
+
+from ops import heavy_compute, my_op, parallel_op
+
+
+def my_wf(a: int) -> Dict[str, str]:
+    m = my_op(a)
+    return {"centered": m}
+
+
+def wf_with_p_ops(*, max_thread_workers: int, max_process_workers: int) -> Tuple[str, str]:
+    with ProcessPoolExecutor(max_workers=max_process_workers) as e:
+        e.submit(heavy_compute, "src1.txt")
+        e.submit(heavy_compute, "src2.txt")
+
+    return parallel_op(max_thread_workers=max_thread_workers)
+
+
+if __name__ == "__main__":
+    print(my_wf(5))
+    print(wf_with_p_ops(max_thread_workers=2, max_process_workers=2))