# 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.

- 网址：https://funcoding.ai/agents/warp/guides/configuration/how-to-use-agent-profiles-efficiently/
- 来源：Warp 官方文档原文（英文），MIT 许可，同步于 2026-10-11
- 官方原文：https://docs.warp.dev/guides/configuration/how-to-use-agent-profiles-efficiently/

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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

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### 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.

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### 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.

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### 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   |