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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.

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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

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.


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.


TraitStrategic AgentYOLO Agent
PlanningDetailed (14 steps)Minimal (10 steps)
SafetyHighLow
SpeedModerateVery fast
Ideal ForProduction projectsQuick prototypes