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Comparison

Self-Hosted AI vs Brisk Teaching for K-12 Districts

An extension that meets teachers inside Google Docs, or a platform the district runs inside its own network

On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing β€” so you can deploy anywhere, from your own cloud to a fully air-gapped network.

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What's the difference between Self-Hosted AI and Brisk Teaching?

Brisk Teaching works where teachers already are. It installs as a browser extension and appears inside Google Docs and Google Classroom, so giving feedback on a student essay or checking writing progress takes no new tool and no new tab.

That design is its strength and the source of the question a district has to answer: an extension that reads student writing in the browser is sending that writing somewhere to be processed, and that somewhere is Brisk's service.

A self-hosted platform moves the processing rather than the workflow. The models run inside district infrastructure, so student writing is analyzed by a system the district owns, with logs its own auditors can inspect.

This comparison is about where the work happens, not whether teachers like the interface β€” and for districts with binding student-data policies, that is the only question that survives the privacy review.

Self-Hosted AI

by ibl.ai

Owned agentic AI platform

Brisk Teaching

by Brisk

Browser-extension AI for teachers

Feature Comparison

Capabilities

CriteriaSelf-Hosted AIBrisk Teaching
Out-of-the-Box Readiness

Production agents for writing feedback, revision history review, differentiation, and instructional materials once deployed, configured to how your organization actually works.

Immediately useful β€” meeting teachers inside Google Docs and Classroom, so there is no new tool to learn and no workflow change.

Integration With Your Systems

Deep integration with Google Classroom, Google Docs, Clever, and PowerSchool over APIs and MCP, running inside your own network.

Connects to common systems, bounded by the connectors the vendor has built.

Extensibility

Build and own workflows the vendor has not thought of, because you hold the code.

Configurable within the product; capabilities outside it require the vendor to build them.

Any-LLM & Model Control

Run any open or commercial model, route by cost, latency, and capability, and switch anytime.

Runs on models Brisk selects and manages.

Ownership & Data Control

CriteriaSelf-Hosted AIBrisk Teaching
Self-Hosting / On-Prem / Air-Gapped

Runs on your servers, your private cloud, or fully air-gapped with zero external calls.

Runs in Brisk's cloud; it cannot be self-hosted or air-gapped.

Where the Data Lives

student writing and minors' data never leaves your environment, and every interaction is logged for audit.

Processed and retained on the vendor's infrastructure under your agreement.

Source Code Ownership

You hold the full source and can audit, fork, and extend every layer.

You rent access; the platform and its roadmap belong to the vendor.

Fit With FERPA and COPPA

Data stays inside your perimeter, which is the simplest posture to evidence under FERPA and COPPA.

Vendor compliance coverage under shared-responsibility terms.

Cost & Continuity

CriteriaSelf-Hosted AIBrisk Teaching
Cost at Scale

Flat license plus compute you own β€” extending access across K-12 districts does not multiply the bill.

per-teacher and school licensing, so cost grows with the size of the organization rather than the work done.

Time-to-Value

Requires deployment and integration, or a partner who does both for you.

Usable almost immediately with no infrastructure work.

Support & Maintenance

Self-managed, or fully supported with forward-deployed engineers.

Fully managed by Brisk.

What You Keep If the Relationship Ends

A working platform and all your data, still running on your own infrastructure.

Whatever the contract allows you to export.

Detailed Analysis

The Extension Is the Product and the Exposure

Self-Hosted AI

Self-hosting keeps analysis of student writing inside district systems, so the review question becomes one about infrastructure the district already secures.

Brisk Teaching

Living inside Google Docs is genuinely why teachers adopt Brisk β€” it removes the friction that kills most edtech rollouts.

Verdict

Convenience and data location pull in opposite directions here. A district that can accept off-network processing gets a real adoption advantage; one that cannot gets no benefit from the convenience.

Feedback Tooling vs an Extensible Platform

Self-Hosted AI

An owned platform can be pointed at the district's own rubrics, reading levels, and multilingual family communication needs, and extended into workflows outside the document.

Brisk Teaching

Brisk is focused and does its focused thing well β€” writing feedback and progress visibility inside the Google stack.

Verdict

For writing feedback specifically, a focused tool is competitive. For AI as district-wide infrastructure, a single-purpose extension is not the same category of purchase.

Per-Teacher Pricing Across a District

Self-Hosted AI

A flat, self-hosted license covers every teacher, aide, and administrator without the cost changing as the rollout widens.

Brisk Teaching

Per-teacher licensing is easy to approve for one school and becomes a budget line that grows with staffing across a district.

Verdict

Small pilots favor per-teacher pricing. District-wide deployment is where the pricing shape starts to dominate the decision.

Recommendations by Segment

Districts Whose Policy Bars Off-Network Student Data

Self-Hosted AI

An extension that processes student writing on a vendor's service cannot satisfy a policy that requires minors' data to stay on district systems.

Google-Centric Schools Wanting Fast Teacher Adoption

Brisk Teaching

Living inside Docs and Classroom removes the friction that stops most teacher tools from being used at all.

Districts Deploying AI Beyond Writing Feedback

Self-Hosted AI

Tutoring, family communication, MTSS documentation, and administrative agents are outside the scope of a writing-focused extension.

Districts Standardizing on One AI Platform

Self-Hosted AI

Consolidating on owned infrastructure avoids accumulating separate per-teacher subscriptions for each teaching task.

Migration Considerations

Brisk Teaching β†’ Self-Hosted AI

medium difficulty

Timeline: Four to ten weeks depending on integration count and review requirements

  • Provision infrastructure inside your perimeter, or have a partner deploy and operate it.
  • Reconnect Google Classroom, Google Docs, Clever, and PowerSchool over internal endpoints so retrieval does not egress.
  • Choose open or commercial models and set routing by cost, latency, and capability.
  • Bring the guardrails, escalation rules, and FERPA and COPPA controls in-house rather than inheriting the vendor's.
  • Benchmark against your own evaluation set before switching production traffic.

Self-Hosted AI β†’ Brisk Teaching

low difficulty

Timeline: Days to a few weeks

  • Confirm no residency or FERPA and COPPA obligation forbids processing student writing and minors' data off your infrastructure.
  • Map your workflows onto the vendor's supported features and accept the ones it does not cover.
  • Review data-handling, retention, and subprocessor terms for your tenant.
  • Budget for per-teacher and school licensing as access widens.

Where does ibl.ai fit alongside Self-Hosted AI and Brisk Teaching?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing β€” so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.

ibl.ai moves the processing rather than the teacher's workflow. The platform runs inside district infrastructure, so analysis of student writing happens on systems the district owns, with logs its own auditors can inspect. Agentic OS connects to Google Classroom, Clever, and PowerSchool over APIs and MCP, applies guardrails and PII redaction before any model sees student work, and extends past writing feedback into tutoring, family communication, and administrative agents the district defines itself. You own all the code and the data, run any model, and can deploy on any cloud, on-premise, or air-gapped β€” on a flat license rather than per teacher.

1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.

ibl.ai is family-owned and operated from New York, NY β€” a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.

Frequently Asked Questions

Related Resources

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