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A guided K-12 workflow for reviewing, refining, and preparing IEP content with approved references and explicit professional review.
Overview
The IEP Review & Writing Assistant is designed to help educators work more systematically with IEP content while keeping professional judgment and team decision-making with the humans responsible for the record.
The use case shows how approved knowledge sources, local-only inference options, identity controls, versioned prompts and knowledge packs, and repeatable testing can turn a general AI capability into a bounded professional workflow.
Inside the resource
A review structure that separates assistant observations from educator responsibilities.
Implementation steps for defining supported tasks, curating authoritative references, and choosing local-only versus optional cloud inference.
Example demonstration prompts that avoid inventing facts or replacing professional decisions.
Pilot success criteria focused on usability, source traceability, human review, and clear limits.
Engineering context
This use case demonstrates how the underlying private AI environment can support a consequential, knowledge-grounded workflow without treating the model as the decision-maker.
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