Custom AI Filtering for Schools and Districts
District-wide AI content policies built on GHOST intent-layer architecture — not bypassable keyword lists.
School administrators, IT directors, and curriculum leaders are under pressure to allow AI without opening liability, bullying, cheating, or content that violates district policy.
Keyword blocklists and generic "education tiers" from big AI vendors fail the moment a student learns prompt engineering. KosherChat offers custom AI filtering for schools built on GHOST intent-layer architecture — the same system powering our consumer product.
Why school AI policies break today
Districts typically choose one of three bad options:
1. Ban AI entirely — students use it anyway on personal devices 2. Buy enterprise AI with generic filters — bypassed weekly; inconsistent with your code of conduct 3. DIY prompt rules — fragile, unauditable, no defense against multi-turn escalation
The root issue is architectural: surface-text filtering cannot secure a generative system. Students rephrase, role-play, split requests across turns, or frame harmful asks as "for a novel" or "hypothetical."
Intent-layer filtering for education
KosherChat's GHOST system (Generative Harm Observation via Subspace Trajectories) operates above surface text:
- UIP (Unconstrained Intent Probe) — reconstructs behavioral intent via an independent probe model
- LHTM (Latent Harm Trajectory Monitoring) — monitors internal activation patterns during generation
Together they detect harmful steering before students see the output — including jailbreaks that fool keyword lists and LLM judges.
Full technical paper: GHOST architecture.
Custom policies for your district
We work with schools, yeshivas, Christian academies, charter networks, and universities to map your acceptable-use policy into enforceable filter layers:
- Sexual content standards aligned with student age band
- Violence and self-harm escalation protocols
- Academic integrity modes (explain vs answer)
- Denominational or community values via custom skill templates
- Audit-friendly logging for designated administrators
Generic vendors give you a toggle. We give you policy-as-architecture.
Deployment options
| Channel | Use case |
| Web app | Computer lab, 1:1 device programs |
| SMS | After-school support lines, counselor access |
| Mobile | Student BYOD with same filter |
| API / integration | LMS embed (contact for roadmap) |
FERPA and safety conversations
We take student data seriously. Review our Privacy Policy and contact us for district data processing questions before pilot deployment.
KosherChat is not a replacement for counselors, administrators, or mandatory reporting workflows — it is a filtered channel that reduces exposure to harmful model outputs.
Pilot checklist for IT and admin
- Define prohibited content categories (beyond defaults)
- Identify grade-band differences (elementary vs high school)
- Choose channels: web only, SMS, or both
- Assign admin contacts for policy updates
- Run a 30-day pilot with teacher feedback loops
Related resources
Contact for school deployments
Standard consumer signup works for individual teachers exploring the tool. For district-wide custom filtering, reach out via Support with:
- District name and student count
- Current AI policy (or draft)
- Channels you need (web / SMS / mobile)
Build AI access that matches your mission statement — not Silicon Valley's default.