diff --git a/README.md b/README.md
index 48c45df..1e0e3a5 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ async def impress_protein_bind() -> None:
     pipelines based on protein quality degradation.
     """
     manager: ImpressManager = ImpressManager(
-        execution_backend=RadicalExecutionBackend(
+        execution_backend = await RadicalExecutionBackend(
             {'gpus':2,
              'cores': 32,
              'runtime' : 13 * 60,
diff --git a/docs/getting-started/quick-start.md b/docs/getting-started/quick-start.md
index 8f16d74..ce937c2 100644
--- a/docs/getting-started/quick-start.md
+++ b/docs/getting-started/quick-start.md
@@ -36,7 +36,7 @@ We use:
 
 asyncio — Python’s built-in asynchronous library.
 
-RadicalExecutionBackend — runs tasks in parallel.
+await RadicalExecutionBackend — runs tasks in parallel.
 
 ImpressBasePipeline — base class for defining a pipeline.
 
@@ -115,7 +115,7 @@ We now create a function that starts N pipelines at once.
 ```python
 async def run():
     manager = ImpressManager(
-        execution_backend=RadicalExecutionBackend({'resource': 'local.localhost'})
+        execution_backend = await RadicalExecutionBackend({'resource': 'local.localhost'})
     )
     
     # start 3 pipelines in parallel and wait for them to finish
@@ -129,7 +129,7 @@ async def run():
 
 Here:
 
-We initialize an ImpressManager with a RadicalExecutionBackend to enable parallel task execution.
+We initialize an ImpressManager with a await RadicalExecutionBackend to enable parallel task execution.
 
 We call start() and provide a list of pipeline setups, each with a unique name (p1, p2, p3) and our ProteinPipeline class.
 
@@ -186,7 +186,7 @@ class ProteinPipeline(ImpressBasePipeline):
 
 async def run_pipeline():
     manager = ImpressManager(
-        execution_backend=RadicalExecutionBackend({'resource': 'local.localhost'})
+        execution_backend = await RadicalExecutionBackend({'resource': 'local.localhost'})
     )
 
     await manager.start(
diff --git a/docs/pipelines/pre_built-pipelines.md b/docs/pipelines/pre_built-pipelines.md
index b9894db..da92c3a 100644
--- a/docs/pipelines/pre_built-pipelines.md
+++ b/docs/pipelines/pre_built-pipelines.md
@@ -136,7 +136,7 @@ async def adaptive_decision(pipeline: ProteinBindingPipeline) -> Optional[Dict[s
 ```python
 async def impress_protein_bind() -> None:
     manager: ImpressManager = ImpressManager(
-        execution_backend=RadicalExecutionBackend({
+        execution_backend = await RadicalExecutionBackend({
             'gpus': 2,                           # GPU allocation per pipeline
             'cores': 32,                         # CPU cores per pipeline
             'runtime': 13 * 60,                  # 13 hours maximum runtime