diff --git a/extras/kitchen_asyncio/README.md b/extras/kitchen_asyncio/README.md
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+This is an example of "parallel" processing using `asyncio`.
+
+We have the following work plan to prepare a dako:
+
+1. Fetch dako rusk
+2. Fetch olive oil
+3. Fetch tomato
+4. Chop tomato
+5. Fetch feta
+6. Water rusk
+7. Oil rusk
+8. Put tomato and feta on rusk
+9. Store ready dako on countertop
+
+Note that certain steps depend on earlier steps,
+e.g. 3→4, 1→6, 6→7, (7, 4, 2)→8, 8→9.
+
+File `kitchen_serial.py` has a straighforward Python implementation.
+
+Execute it as:
+  python kitchen_asyncio.py 5
+(This creates 5 dakos, one after each other.)
+
+File `kitchen_asyncio_naive.py` has a version which was converted
+to use `asyncio` and the jobs will be executed via the `asynio`
+task queue, but it will still run serially, because we wait for
+each task to be finished before continuing.
+
+Execute it as:
+  python kitchen_asyncio_naive.py 5
+(This creates 5 dakos, one after each other, using `asyncio`.)
+
+File `kitchen_asyncio_async.py` has a version adds effective
+parallelization by starting independent tasks in parallel and only
+awaiting when necessary for subsequent steps. Some steps were split
+out of the big function `prepare_dako`, to allow them to be awaited
+separately.
+
+Execute it as:
+  python kitchen_asyncio_async.py 5
+(This creates 5 dakos, one after each other, using `asyncio`.)
diff --git a/extras/kitchen_asyncio/kitchen_asyncio_async.py b/extras/kitchen_asyncio/kitchen_asyncio_async.py
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+import argparse
+import asyncio
+import random
+import sys
+
+from kitchen_serial import parse_args
+
+async def do_work(duration, result):
+    t = random.uniform(duration/5 * 0.5, duration/5 * 1.5)
+    # t = duration / 5
+    await asyncio.sleep(t)
+    return result
+
+async def fetch_olive_oil():
+    print('Fetching olive oil…')
+    return await do_work(5, 'oil')
+
+async def fetch_dako_rusk():
+    print('Fetching dako rusk…')
+    return await do_work(5, 'rusk')
+
+async def fetch_tomato():
+    print('Fetching tomato…')
+    return await do_work(3, 'tomato')
+
+async def fetch_feta():
+    print('Fetching feta…')
+    return await do_work(3, 'feta')
+
+async def chop_tomato(tomato):
+    assert tomato == 'tomato'
+    print('Chopping tomato…')
+    return await do_work(1, f'chopped {tomato}')
+
+async def water_rusk(rusk):
+    assert rusk == 'rusk'
+    print('Watering rusk…')
+    return await do_work(0.2, f'wet {rusk}')
+
+async def oil_rusk(rusk, oil):
+    assert rusk == 'wet rusk'
+    assert oil == 'oil'
+    print(f'Pouring {oil} on {rusk}…')
+    return await do_work(0.5, f'{rusk} with {oil}')
+
+async def decorate_rusk(rusk, *toppings):
+    result = rusk
+    for topping in toppings:
+        print(f'Putting {topping} on {result}…')
+        result = await do_work(1, f'{result} with {topping}')
+    return result
+
+async def store_dako(dako):
+    print(f'Storing {dako}')
+    await do_work(1, None)
+
+async def prepare_rusk():
+    rusk = await fetch_dako_rusk()
+    rusk = await water_rusk(rusk)
+    return rusk
+
+async def prepare_tomato():
+    tomato = await fetch_tomato()
+    tomato = await chop_tomato(tomato)
+    return tomato
+
+async def prepare_oiled_rusk():
+    rusk = prepare_rusk()
+    oil = fetch_olive_oil()
+    rusk, oil = await asyncio.gather(rusk, oil)
+
+    return await oil_rusk(rusk, oil)
+
+async def prepare_dako():
+    print('Making dako…')
+    rusk = prepare_oiled_rusk()
+    tomato = prepare_tomato()
+    feta = fetch_feta()
+    parts = await asyncio.gather(rusk, tomato, feta)
+    dako = await decorate_rusk(*parts)
+    await store_dako(dako)
+    print(f'{dako} is ready!')
+
+async def prepare_dakos(n_dakos):
+    tasks = [prepare_dako()
+             for n in range(args.n_dakos)]
+    await asyncio.gather(*tasks)
+
+if __name__ == '__main__':
+    args = parse_args()
+    asyncio.run(
+        prepare_dakos(args.n_dakos)
+    )
diff --git a/extras/kitchen_asyncio/kitchen_asyncio_naive.py b/extras/kitchen_asyncio/kitchen_asyncio_naive.py
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+++ b/extras/kitchen_asyncio/kitchen_asyncio_naive.py
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+import asyncio
+import random
+
+from kitchen_serial import parse_args
+
+async def do_work(duration, result):
+    t = random.uniform(duration/5 * 0.5, duration/5 * 1.5)
+    await asyncio.sleep(t)
+    return result
+
+async def fetch_olive_oil():
+    print('Fetching olive oil…')
+    return await do_work(5, 'oil')
+
+async def fetch_dako_rusk():
+    print('Fetching dako rusk…')
+    return await do_work(5, 'rusk')
+
+async def fetch_tomato():
+    print('Fetching tomato…')
+    return await do_work(3, 'tomato')
+
+async def fetch_feta():
+    print('Fetching feta…')
+    return await do_work(3, 'feta')
+
+async def chop_tomato(tomato):
+    assert tomato == 'tomato'
+    print('Chopping tomato…')
+    return await do_work(1, f'chopped {tomato}')
+
+async def water_rusk(rusk):
+    assert rusk == 'rusk'
+    print('Watering rusk…')
+    return await do_work(0.2, f'wet {rusk}')
+
+async def oil_rusk(rusk, oil):
+    assert rusk == 'wet rusk'
+    assert oil == 'oil'
+    print(f'Pouring {oil} on {rusk}…')
+    return await do_work(0.5, f'{rusk} with {oil}')
+
+async def decorate_rusk(rusk, *toppings):
+    result = rusk
+    for topping in toppings:
+        print(f'Putting {topping} on {result}…')
+        result = await do_work(1, f'{result} with {topping}')
+    return result
+
+async def store_dako(dako):
+    print(f'Storing {dako}')
+    await do_work(1, None)
+
+async def prepare_dako():
+    print('Making dako…')
+    oil = await fetch_olive_oil()
+    rusk = await fetch_dako_rusk()
+    tomato = await fetch_tomato()
+    tomato = await chop_tomato(tomato)
+    rusk = await water_rusk(rusk)
+    rusk = await oil_rusk(rusk, oil)
+    feta = await fetch_feta()
+    dako = await decorate_rusk(rusk, tomato, feta)
+    await store_dako(dako)
+    print(f'{dako} is ready!')
+
+async def prepare_dakos(n_dakos):
+    for n in range(args.n_dakos):
+        await prepare_dako()
+
+if __name__ == '__main__':
+    args = parse_args()
+    asyncio.run(
+        prepare_dakos(args.n_dakos)
+    )
diff --git a/extras/kitchen_asyncio/kitchen_serial.py b/extras/kitchen_asyncio/kitchen_serial.py
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+++ b/extras/kitchen_asyncio/kitchen_serial.py
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+import argparse
+import random
+import time
+
+def do_work(duration, result):
+    t = random.uniform(duration/5 * 0.5, duration/5 * 1.5)
+    time.sleep(t)
+    return result
+
+def fetch_olive_oil():
+    print('Fetching olive oil…')
+    return do_work(5, 'oil')
+
+def fetch_dako_rusk():
+    print('Fetching dako rusk…')
+    return do_work(5, 'rusk')
+
+def fetch_tomato():
+    print('Fetching tomato…')
+    return do_work(3, 'tomato')
+
+def fetch_feta():
+    print('Fetching feta…')
+    return do_work(3, 'feta')
+
+def chop_tomato(tomato):
+    assert tomato == 'tomato'
+    print('Chopping tomato…')
+    return do_work(1, f'chopped {tomato}')
+
+def water_rusk(rusk):
+    assert rusk == 'rusk'
+    print('Watering rusk…')
+    return do_work(0.2, f'wet {rusk}')
+
+def oil_rusk(rusk, oil):
+    assert rusk == 'wet rusk'
+    assert oil == 'oil'
+    print(f'Pouring {oil} on {rusk}…')
+    return do_work(0.5, f'{rusk} with {oil}')
+
+def decorate_rusk(rusk, *toppings):
+    result = rusk
+    for topping in toppings:
+        print(f'Putting {topping} on {result}…')
+        result = do_work(1, f'{result} with {topping}')
+    return result
+
+def store_dako(dako):
+    print(f'Storing {dako}')
+    do_work(1, None)
+
+def prepare_dako():
+    print('Making dako…')
+    oil = fetch_olive_oil()
+    rusk = fetch_dako_rusk()
+    tomato = fetch_tomato()
+    tomato = chop_tomato(tomato)
+    rusk = water_rusk(rusk)
+    rusk = oil_rusk(rusk, oil)
+    feta = fetch_feta()
+    dako = decorate_rusk(rusk, tomato, feta)
+    store_dako(dako)
+    print(f'{dako} is ready!')
+
+def prepare_dakos(n_dakos):
+    for n in range(args.n_dakos):
+        prepare_dako()
+
+def parse_args():
+    p = argparse.ArgumentParser()
+    p.add_argument(
+        'n_dakos',
+        type=int,
+        nargs='?',
+        default=1,
+        help='How many dakos to make?',
+    )
+    return p.parse_args()
+
+if __name__ == '__main__':
+    args = parse_args()
+    prepare_dakos(args.n_dakos)