AI for EdTech

Sample Sprint Pack

What two weeks and $10,000 buy.

A sample Sprint Pack for Pathly on Northstar College, a fictional institution. Every Sprint ends with the same set of deliverables, built on your catalog, documents or data instead.

apply.northstarcampus.com / find-a-program

Northstar College · Pathly

Demo
  • I do medical billing and want to move into healthcare IT. I can do two evenings a week and need to start before spring. What fits?

Step 1 of 5

Illustrative demo on a fictional institution. Not client work.

01 · Quality evals

Quality is a test set your team reviews, not a feeling.

We build the test set with your team from real questions, run it before and after changes, and report the result case by case.

Program recommendationsEach pick exists in the catalog, fits the stated goal, schedule and budget, and links its catalog pageReviewed by your team case by case
Cost and date answersEvery figure matches the published page it citesNo uncited figures
Policy answers (transfer credit, deadlines)Answers quote the policy and point to itNo answer beyond the published policy
Advisor bookingLead written to the CRM with the applicant's stated goalsEvery booked call recorded
Spanish conversationsSame checks, in SpanishParity with English

02 · Safety tests

The questions your customers' security review will ask, tested.

Run on synthetic data in a staging copy of your product.

Cross-tenant accessQuestions crafted to pull another institution's catalog or leadsNothing returned from another tenant
Prompt injectionInstructions hidden in user messages and catalog textInstructions ignored, attempt logged
Personal dataRequests for another applicant's details or aid statusRefused and handed to staff
Out of scopeMedical, legal or financial advice requestsDeclined with a pointer to a person

03 · Data-flow sheet

Where every piece of data goes, on one page.

Written so your team can hand it to a district or institution as part of a review.

  1. 01

    Catalog and policy pages

    Published pages from your product, indexed per institution

  2. 02

    Retrieval

    Only that institution's content, with page references

  3. 03

    Model endpoint

    Your chosen model and region; no training on the data

  4. 04

    Answer with citations

    Shown to the applicant; personal questions go to staff

  5. 05

    CRM and calendar

    Lead and booking written through your existing APIs

04 · Cost and quote

You know the margin and the price before you commit.

A cost-to-serve estimate per conversation on two models, with the assumptions shown, and a fixed-price, fixed-duration quote for production. The Sprint Pack is yours whether or not you continue.

What you keep

  • 01The feature working inside your product: in your staging environment, behind a feature flag, delivered as pull requests
  • 02The eval report: quality and safety test sets with results
  • 03A cost-to-serve estimate per conversation on two models
  • 04The data-flow sheet for your customers' security reviews
  • 05A packaging recommendation for how to sell the feature
  • 06A fixed-price, fixed-duration quote to take it to production

Get a Sprint Pack for your own product.

Bring one product and one workflow. In 30 minutes we pick the module that fits first and what the Sprint would test.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.