Custom GPTs for Learning Support

Massachusetts Library System, 2024 - Present

The Challenge

Internal staff designing workshops and external vendors developing pathway courses both needed quick, context-specific guidance that reflected MLS standards. Without embedded institutional knowledge, each new project started from scratch, and quality varied across contributors. I needed a way to scale consistent, standards-aligned support across all content creators.

Custom GPTs

Curated

Knowledge Bases

Internal + Vendor

Facing

24/7

On-Demand Access

Lizi

Try Lizi →

Staff Design Assistant for internal workshop development

Staff member:

"I need learning outcomes for a workshop on effective reader's advisory - it's 4 hours long"

Lizi:

Proposes 6 measurable outcomes focused on application (not just knowledge), aligned to MLS learning design best practices. Follows up with engagement ideas and clarifying questions.

Pathway Pal

Try Pathway Pal →

Vendor Management Assistant for external course development

Vendor:

"I need assessment questions for module 2 of the Conflict Management course aligned with its learning outcome"

Pathway Pal:

Generates 5 quiz questions following MLS end-of-module guidance: a mix of recall and application, aligned to the CII framework, with no answer-choice feedback.

What I Built

Lizi: Staff Design Assistant

A custom GPT I built for internal staff that provides workshop design guidance grounded in MLS quality standards, adult learning principles, and IACET requirements. Lizi draws on embedded quality rubrics, style guides, and program documentation to give specific, relevant advice to staff across the organization.

Pathway Pal: Vendor Management Assistant

A GPT I created to support the management of external vendors developing pathway courses. Pathway Pal gives vendors on-demand access to MLS course scripts, learning outcomes, formatting standards, and assessment requirements, so they can produce aligned content without constant back-and-forth. It generates assessment questions, reviews module content against rubrics, and keeps vendor deliverables consistent with institutional standards.

I built both GPTs on curated institutional knowledge bases that include quality rubrics, pathway structures, style guides, and program documentation. This approach scales my ability to coordinate work across internal stakeholders and external vendors while maintaining consistent quality.

Results

Created a scalable model for embedding institutional knowledge in AI tools used by both staff and vendors
Reduced repetitive coordination overhead when managing external course developers
Gave vendors and staff 24/7 access to standards-aligned guidance
Demonstrated practical AI integration that supports rather than replaces human expertise in vendor and team management

Connect

I welcome conversations about educational leadership, learning strategy, professional development systems, research, speaking, and consulting.

Download resume Email LinkedIn