Add structured output to quick start example (#202)

* Add structured output and print to quick start example

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Add print(result.output) to code mode examples

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Simplify quick start example — remove structured output

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

README.md

@@ -51,6 +51,7 @@ agent = Agent(
 )
 
 result = agent.run_sync('Rank the open PRs on pydantic/pydantic-harness by thumbs-up reactions. Which 5 should we merge first?')
+print(result.output)
 ```
 
 [`MCP`](https://ai.pydantic.dev/capabilities/#provider-adaptive-tools) (from the core `pydantic-ai` package) connects your agent to any MCP server -- here, [GitHub's official MCP server](https://github.com/github/github-mcp-server).

pydantic_harness/code_mode/README.md

@@ -36,6 +36,7 @@ def convert_temp(fahrenheit: float) -> float:
     return round((fahrenheit - 32) * 5 / 9, 1)
 
 result = agent.run_sync("What's the weather in Paris and Tokyo, in Celsius?")
+print(result.output)
 ```
 
 The model writes code like:
@@ -151,6 +152,8 @@ from pydantic_ai import Agent
 from pydantic_harness import CodeMode
 
 agent = Agent.from_file('agent.yaml', custom_capability_types=[CodeMode])
+result = agent.run_sync('...')
+print(result.output)
 ```
 
 Pass `custom_capability_types` so the spec loader knows how to instantiate `CodeMode`. You can also pass arguments in the YAML: