> For the complete documentation index, see [llms.txt](/llms.txt).
> Markdown versions of each page are available by appending .md to any URL.

# How To: Use Agent Profiles Efficiently

Compare Strategic and YOLO agent profiles side-by-side to choose the right balance of planning, safety, and speed for your project.

Agent Profiles control how your coding agents behave in different contexts.  
They define what the agent can read, plan, or execute — and how much autonomy it has.

To show how profiles change workflow, we’ll build an NFL Predictor App using two profiles:

-   Strategic Agent
-   YOLO Agent

![YouTube video](https://i.ytimg.com/vi/iD0R-8fY-tY/sddefault.jpg)

* * *

### Strategic Agent

Base Model: GPT-5  
Planning Model: Claude 4 Opus

Configuration:

-   Apply code diffs → *agent decides*
-   Read files → *always allow*
-   Create plans → *always allow*
-   Execute commands → *ask first*

When run:

1.  The agent asks clarifying questions (e.g., *Do you want to scrape players and schedules?*)
2.  Builds a detailed 14-step plan
3.  Requests user input for environment variables

It’s thorough and safe — but pauses often if you miss setup details.

* * *

### YOLO Agent

Configuration:

-   Apply code diffs → *always allow*
-   Read files → *always allow*
-   Create plans → *never*
-   Execute commands → *always allow*

This agent skips long planning.  
It builds the project quickly, skipping over optional validation and focusing on essentials:

-   Data ingestion
-   Player stats
-   Scoring calculation

It avoids brittle endpoints and produces a working dataset fast — though with fewer checks.

* * *

### Comparing the Two

| Trait | Strategic Agent | YOLO Agent |
| --- | --- | --- |
| Planning | Detailed (14 steps) | Minimal (10 steps) |
| Safety | High | Low |
| Speed | Moderate | Very fast |
| Ideal For | Production projects | Quick prototypes |