If you've tried AI coding tools lately, you've probably hit the same wall: GPT-4 for this, Claude for that, a smaller model for quick fixes. Each choice comes with tradeoffs in cost, speed, and quality — and most semi-pro builders simply don't have the time to learn them all.
We built My AI Weapon for people who want results, not a second career in model evaluation. That's why model selection is automated by default.
The hidden cost of "pick your model"
Every time you pause to choose a model, you break flow. Worse, picking the wrong tier wastes credits on overkill or produces weak output that needs rework. Our users told us they'd rather describe the task and trust the platform to route it.
The aggregator watches task complexity: lightweight models for summaries, refactors, and small edits; mid-tier for multi-file changes; heavy models only when the work genuinely needs deeper reasoning.
How routing works in practice
When you send a message in chat, the agent classifies the work — read-only lookup, single-file edit, cross-service integration, and so on. Simple jobs stay on efficient models so your credit balance lasts longer. Hard jobs escalate without you opening a settings panel.
You can still override when you care. Power users who want a specific model can say so in the conversation. Everyone else gets sensible defaults on day one.
What this means for your bill
Automatic routing isn't just convenience — it's cost control. Paying for a flagship model on every autocomplete is how credit pools disappear in a weekend. Routing keeps routine work cheap so budget remains for the tasks that actually need horsepower.
One subscription, one credit balance, and no spreadsheet tracking which API key burned how much this month. That's the point.