Avoid single-model dependency
Schools should be able to evaluate and adopt stronger approved models without replacing identity, knowledge, governance and application workflows.
AI Gateway
The school should own the policy layer even when the model layer changes.
ZYK's proposed AI Gateway / Model Router would give institutions one governed route to approved models rather than rebuilding user workflows every time model quality, hardware, cost or policy changes.
Why portability matters
Model leadership is temporary. Institutional architecture should be durable.
Match model to task
Different models may perform better for Chinese, English, coding, reasoning, media creation or lower-latency workloads.
Use capacity intelligently
Routing can potentially account for available GPU capacity, latency, workload priority and whether a task belongs in production or an experimental sandbox.
Keep policy central
Changing a model should not silently change who can access it, what data it can receive or what governance controls apply.
Routing dimensions
Choose models according to institutional rules, not user guesswork.
Task
Route writing, translation, coding, assessment support or media generation to models approved for those purposes.
Data classification
More sensitive workloads can be restricted to specific local models or deployment zones according to institutional policy.
Performance
Model evaluation can consider quality, latency, language capability and hardware efficiency against school-specific tasks.
Lifecycle
Models can move from evaluation to sandbox to approved production status through a controlled process.
Related services
Model choice is an ongoing operational discipline.
Model Evaluation Service
A proposed service to test candidate models against educational accuracy, Chinese/English performance, latency, safety and infrastructure cost before adoption.
AI Procurement Advisory
Requirements-led guidance on models, GPUs, servers and deployment choices so procurement starts with school needs rather than vendor marketing.
Private AI Migration
A proposed pathway for moving suitable workflows from unmanaged public AI accounts or APIs into a governed institutional environment.
The AI Gateway / Model Router is a content-v2 strategic architecture concept. Routing rules, supported models and operational behaviour should only be marketed as implemented after technical validation.