diff --git a/examples/zero-code-examples/crewai/requirements.txt b/examples/zero-code-examples/crewai/requirements.txt
new file mode 100644
index 0000000..c29c784
--- /dev/null
+++ b/examples/zero-code-examples/crewai/requirements.txt
@@ -0,0 +1,6 @@
+crewai>=0.80.0
+
+opentelemetry-sdk>=1.36.0
+opentelemetry-exporter-otlp-proto-http>=1.36.0
+opentelemetry-instrumentation-crewai>=0.40.0
+python-dotenv>=1.0.0
diff --git a/examples/zero-code-examples/crewai/run.py b/examples/zero-code-examples/crewai/run.py
new file mode 100644
index 0000000..d8f998d
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+++ b/examples/zero-code-examples/crewai/run.py
@@ -0,0 +1,115 @@
+"""Run a CrewAI dice agent with standard OTLP export — no agentevals SDK.
+
+Demonstrates zero-code integration: any OTel-instrumented agent streams
+traces and logs to agentevals by pointing the OTLP exporter at the receiver.
+
+The only agentevals-specific setup is the OTLP endpoint and resource
+attributes. The agent code itself is unchanged.
+
+Prerequisites:
+    1. pip install -r requirements.txt
+    2. agentevals serve --dev
+    3. export OPENAI_API_KEY="your-key-here"
+
+Usage:
+    python examples/zero-code-examples/crewai/run.py
+"""
+
+import os
+import random
+
+from dotenv import load_dotenv
+from opentelemetry import trace
+from opentelemetry._logs import set_logger_provider
+from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+from opentelemetry.instrumentation.crewai import CrewAIInstrumentor
+from opentelemetry.sdk._logs import LoggerProvider
+from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+
+load_dotenv(override=True)
+
+
+def main():
+    if not os.getenv("OPENAI_API_KEY"):
+        print("OPENAI_API_KEY not set.")
+        return
+
+    endpoint = os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4318")
+    print(f"OTLP endpoint: {endpoint}")
+
+    os.environ["OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"] = "true"
+
+    os.environ.setdefault(
+        "OTEL_RESOURCE_ATTRIBUTES",
+        "agentevals.eval_set_id=crewai_agent_eval,agentevals.session_name=crewai-zero-code",
+    )
+
+    resource = Resource.create()
+
+    tracer_provider = TracerProvider(resource=resource)
+    tracer_provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter(), schedule_delay_millis=1000))
+    trace.set_tracer_provider(tracer_provider)
+
+    logger_provider = LoggerProvider(resource=resource)
+    logger_provider.add_log_record_processor(BatchLogRecordProcessor(OTLPLogExporter(), schedule_delay_millis=1000))
+    set_logger_provider(logger_provider)
+
+    CrewAIInstrumentor().instrument()
+
+    # crewai imported after OTel setup to avoid TracerProvider conflict
+    from crewai import Agent, Crew, Task
+    from crewai.tools import tool
+
+    @tool("roll_die")
+    def roll_die(n_sides: int) -> int:
+        """Roll a single die with the given number of sides and return the result."""
+        return random.randint(1, n_sides)
+
+    @tool("check_prime")
+    def check_prime(number: int) -> bool:
+        """Return True if the given number is prime, False otherwise."""
+        if number < 2:
+            return False
+        for i in range(2, int(number**0.5) + 1):
+            if number % i == 0:
+                return False
+        return True
+
+    dice_agent = Agent(
+        role="Dice Roller",
+        goal="Help the user roll dice and answer questions about the results.",
+        backstory="You are an expert at rolling dice and checking mathematical properties of numbers.",
+        tools=[roll_die, check_prime],
+        verbose=True,
+    )
+
+    test_queries = [
+        "Roll a 20-sided die for me",
+        "Is the number you rolled prime?",
+    ]
+
+    for i, query in enumerate(test_queries, 1):
+        print(f"\n[{i}/{len(test_queries)}] User: {query}")
+
+        task = Task(
+            description=query,
+            expected_output="A direct answer to the user's question.",
+            agent=dice_agent,
+        )
+
+        crew = Crew(agents=[dice_agent], tasks=[task], verbose=True)
+        result = crew.kickoff()
+        print(f"     Agent: {result}")
+
+    print()
+    tracer_provider.force_flush()
+    logger_provider.force_flush()
+    print("All traces and logs flushed to OTLP receiver.")
+
+
+if __name__ == "__main__":
+    main()