FAQ
Plain answers from the lab
Before you brief us
Procurement leads, deans and instructional designers ask similar questions before a courseware sprint. These answers are written plainly — for clarity before a discovery call, not as marketing filler.
Is EduSpark Lab a lifestyle (.life) brand, a diploma mill / course-selling scheme, or an essay-writing (cheating) service?
No. We are an edtech curriculum and teaching-tools lab that designs AI-assisted courseware, content and teacher copilots for client institutions and educators. The .life TLD is branding only — this is NOT lifestyle, wellness, coaching or self-help. We are NOT an accredited school and do NOT issue degrees or diplomas, and we do NOT write essays, assignments or exams for students — our tools include academic-integrity guardrails and support honest assessment. "Edu" means education; "Spark" means igniting good teaching; "Lab" means a design studio. AI outputs are human-reviewed by instructional designers, minors' data is safeguarded, and we do not guarantee grades or outcomes.
How do engagements work — project or retainer?
Most clients start with a scoped AI courseware sprint (4–8 weeks), then move to a retainer for ongoing iteration and governance. Discovery sessions are standalone. We do not sell subscriptions to software — we deliver studio services.
What are typical budgets?
Courseware sprints: C$40,000–C$95,000. Full curriculum builds: C$80,000–C$165,000. Retainers from C$7,800/month. Discovery: C$12,000–C$25,000. All figures are indicative for the Canadian market.
Which AI models and platforms do you use?
We select models based on project requirements — accuracy, language support, cost, data residency and institutional policy. No vendor lock-in. Client institutions approve tool choices. We document sub-processors in privacy agreements.
How is student and minor data handled?
Under PIPEDA and BC PIPA with explicit consent, retention limits and access controls. We minimize data collection, avoid using minor data for model training without consent, and support institutional data governance requirements including FIPPA where applicable.
What about academic integrity?
Built into every tool. We do not build essay mills, answer generators or assessment-completion features. Teacher copilots suggest — educators decide. Question-bank quality reviews catch items that enable dishonest shortcuts.
Who owns the courseware and IP?
Defined in each contract. Typically clients own custom courseware; we retain reusable frameworks. Confidentiality is standard. Model outputs belong to the client upon payment unless otherwise agreed.
What do you NOT do?
We do not guarantee grades, test scores or admissions. We do not issue accredited degrees. We do not sell personal-income AI courses to individuals. We do not provide childcare, crypto learn-to-earn programmes, or lifestyle coaching. We are not Apache Spark or a science laboratory.
How long does a typical discovery session take?
Discovery sessions run one to two weeks and produce a written scope with learning objectives, tool constraints, accessibility requirements, data governance needs and a realistic sprint timeline. You leave with enough detail to compare vendors fairly — not a vague proposal deck. We charge for discovery separately so neither side feels rushed into a poor-fit engagement.