Not one AI model. The right one, every time.
Betting on a single AI provider is fragile. GearHead routes work across the eligible models currently registered for Deepseek, Anthropic, Openai and Google. When a reviewed model replaces an older option in the central registry, selectors and routing inherit the update without scattered page edits.
Model capabilities and provider leadership change constantly. A product locked to one provider is locked to that provider's strengths, limits, availability, and release schedule.
GearHead's routing layer analyzes the work and selects from the models enabled in the live registry for that account. The decision can consider capability, latency, privacy policy, task type, account entitlements, and provider availability without embedding model IDs here.
On high-stakes outputs (document review, compliance checks, contract analysis), GearHead runs multi-model consensus: multiple models work on the same task in parallel, and only conclusions that multiple models agree on surface to you. Hallucinations have to survive three checks instead of one.
The routing model, explained
How the platform decides which AI handles what.
Intent classification first
Every request is classified by intent: legal research, code generation, customer email, long-doc analysis, brainstorming, factual lookup, image generation, voice response. Classification is fast and runs on a small dedicated model.
Model selected by fit
Each registry entry carries provider, capability, availability, entitlement, and request-policy metadata. The router uses that live configuration to choose an eligible model instead of reconstructing a roster from marketing copy.
Multi-model consensus on high stakes
Document Review, compliance checks, contract drafting, and other high-stakes outputs run through multiple models in parallel. Conclusions only surface when multiple models agree. Disagreements are flagged for human review instead of confidently presented.
Automatic upgrades
When providers release better models, GearHead can evaluate and add them through the central registry. Product code and customer-facing selectors then inherit that reviewed change without scattered model-name edits.
Override controls
Users can choose from the models available to their plan, while account and task policies can constrain sensitive work. The available choices are populated from the current registry and account entitlements.
Transparency on routing
Every response shows which model handled it, with one click for cost, latency, and routing rationale. No black box. You can see why a particular model was chosen and override the decision for next time.
Model fleet
The current generation of models GearHead routes across. This list updates as providers ship new models.
See the product feature: Model Agnostic
The product feature page covers the user-facing controls: how to see which model handled what, how to pin models per task, and how the Premium Models add-on works.
Open the feature page →See the routing in action.
Book a walkthrough. We will demo a real task running through the router, including consensus on a high-stakes contract review.