Walkthrough

Models, Rate Limits, and Spend

The scarce resource is frontier-model calls in a rate-limit window. Spend them where reasoning density is highest.

Antigravity's preview is free with rate limits that refresh in multi-hour windows — so the resource you're budgeting isn't dollars, it's frontier-model calls per window. The principle transfers to any paid setup later: match the model to the cognitive demand of the task, and cap what any one task can burn.

Steps · 0 / 3 done
  1. Default smart, downgrade deliberately

    Frontier tier (Gemini 3 Pro-class) for planning, debugging, and design calls. Faster models for mechanical work — renames, doc updates, config chores. Set the model per agent when you spawn it.

    Rule of thumb: if the task needs judgment, spend the frontier call. If it needs keystrokes, don't.
    VerifyAt least one of your running agents is on a cheaper model than your default — deliberately.
  2. Ride the window

    If you hit limits mid-morning, don't stop working — shift mechanical tasks to lighter models and queue the judgment-heavy ones for the window reset.

    Triage when limited: judgment tasks → wait for reset. Mechanical tasks → lighter model now.
    VerifyA rate-limit moment costs you sequencing, not progress.
  3. Cap blast radius with small briefs

    A failed 10-minute task costs one retry. A failed 2-hour epic costs the afternoon. Brief size is your per-run spending cap — keep tasks small enough that a bad run is cheap.

    Sizing check: if a run failing completely would cost more than 15 minutes of agent time, split the brief.
    VerifyYour Manager board shows several small tasks per repo, not one monolith.
Check your understanding
Q1. Where do frontier-model calls earn the most?
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