Cadre’s AI Edge workbook pairs student tasks with project evidence and optional paid tools

Cadre AI’s [October 26 announcement](https://www.prweb.com/releases/cadre‑ai‑introduces‑the‑ai‑edge‑an‑initiative‑empowering‑students‑to‑thrive‑in‑an‑ai‑driven‑future‑302917781.html) introduces The AI Edge for high school and college students, built around a checklist and a portfolio of work. The [program page](https://cadre.ai/next‑generation‑education) links directly to an Excel workbook, giving readers a concrete resource alongside the announced education initiative. The [workbook](https://cadre.ai/assets/next‑generation‑education/cadre‑ai‑100‑point‑ai‑edge‑checklist.xlsx?download=Cadre‑AI‑100‑Point‑AI‑Edge‑Checklist.xlsx) contains numbered core tasks across five levels, from foundations through applied work, career preparation, building and a final portfolio‑oriented stage. Each task has fields for proof of completion, suggested tools or resources, completion status and a date. Separate sheets organize category progress and the publisher’s course and certificate references. That structure asks a learner to keep evidence of work alongside a marked task. The presence of a checklist, a progress formula or a certificate reference does not establish that a student has completed the work or that the program has produced a measured learning result.

Cadre labels the numbered core tasks as achievable at no cost in the [workbook’s introduction](https://cadre.ai/assets/next‑generation‑education/cadre‑ai‑100‑point‑ai‑edge‑checklist.xlsx?download=Cadre‑AI‑100‑Point‑AI‑Edge‑Checklist.xlsx). It separately marks optional activities that require a paid Claude plan, including Cowork and some Claude Code work. The workbook says these optional paid activities can be skipped and do not add to the core score. This is the publisher’s classification of its learning pathway, rather than an independent check of every provider’s current account eligibility, free allowance or pricing. A free course and free access to the software used in an exercise are different questions. The document’s references to coding and API learning do not establish that Cadre supplies an API‑credit balance. A student choosing an exercise still needs access to the relevant service under that provider’s terms. The workbook provides suggested resources; it is not a universal entitlement to all the plans and integrations it names.

The [published checklist](https://cadre.ai/assets/next‑generation‑education/cadre‑ai‑100‑point‑ai‑edge‑checklist.xlsx?download=Cadre‑AI‑100‑Point‑AI‑Edge‑Checklist.xlsx) includes source‑checking, editing a learner’s own writing, explaining a project and assembling portfolio material. Its proof fields call for artifacts such as drafts, notes, project links or demonstrations, depending on the task. Those are materials a learner can revisit and explain. The document also lists a Cadre‑awarded capstone certification. That identifies the issuing organization; it does not establish external accreditation, employer recognition or a particular admission or hiring outcome. OpenTools has reviewed the resource’s structure and stated requirements, rather than testing the exercises or assessing student results.

Cadre’s [release](https://www.prweb.com/releases/cadre‑ai‑introduces‑the‑ai‑edge‑an‑initiative‑empowering‑students‑to‑thrive‑in‑an‑ai‑driven‑future‑302917781.html) names Cristo Rey San Diego High School as its first school partner. That is the issuer’s account of the collaboration, not evidence of adoption throughout the wider school network or a report of completed student outcomes. The [public interest form](https://cadre.ai/next‑generation‑education) asks for school, grade and contact details, including a parent’s email for an under‑18 applicant. The [general website terms](https://cadre.ai/terms‑of‑service), updated October 22, separately require users to represent that they are not minors in their jurisdiction. These materials do not clarify the program‑specific enrollment and consent conditions. An interest submission should not be read as confirmed enrollment or as approval for third‑party accounts. The directly linked workbook is a published resource that can be assessed separately from those unresolved enrollment details. Its useful contribution is the connection between tasks, retained evidence and portfolio work, with paid‑option labels visible in the source document. *Source‑based figure by OpenTools Team, summarizing the task, proof‑of‑completion and portfolio organization of [Cadre’s published workbook](https://cadre.ai/assets/next‑generation‑education/cadre‑ai‑100‑point‑ai‑edge‑checklist.xlsx?download=Cadre‑AI‑100‑Point‑AI‑Edge‑Checklist.xlsx). Optional paid activities are labelled separately in that document. This is an original diagram, not a copied worksheet or evidence of student outcomes.*