Blueprint for impact
Get a look at the pillars shaping this course.
While development is still underway, these highlights offer an early look at the skills and outcomes you’ll be working toward:
Flexible. Applied. Built for business.
Exploring this for your team, not just yourself? You’re in the right place. This course is still in development, making it an ideal time to explore how it could support your workforce goals. Whether you're planning ahead or seeking a strategic fit, we’ll help tailor the experience so it delivers value for your team from day one.
AI Brand Messaging: Custom Assistant Studio
A guided build studio to create and test a custom messaging assistant for your use case—so you leave with a saved configuration that improves cohesion and speed.
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Description
Build a custom AI assistant designed to support your brand and messaging work. In this guided studio, participants create a working assistant shaped by their own voice, use cases, and communication needs so they can use AI more reliably in real messaging scenarios. Together, we define the assistant’s purpose, shape its prompting structure, and create a tool that can support clearer, more repeatable communication work beyond the session.
Participants define voice rules, audience context, key points, and constraints; incorporate examples and references that improve reliability; and set up review checks that reduce tone drift and risky claims. As they build, they troubleshoot common breakdowns—off-voice output, vague language, inconsistent versions, or unsupported claims—and apply fixes that improve quality more efficiently. The emphasis is on hands-on application: capturing what works in a reusable configuration that can be refined over time and carried across channels and contributors.
Participants leave with a configured assistant, a working setup, and a clear plan for where to use it first.
Outcomes
Each outcome is taught through applied practice, so you can use the workflow immediately.
- Apply the workflow to a real messaging need
Use your own use case to move from inputs to drafts, refinement, variations, and next steps. - Configure a messaging assistant
Set up voice rules, instructions, constraints, and examples so the assistant produces more reliable outputs. - Create on-voice variations
Generate versions across audiences and channels while maintaining voice, key points, and tone. - Troubleshoot common breakdowns
Fix issues such as off-tone output, drifting content, unclear claims, or inconsistent messaging across versions. - Make the setup reusable
Save what works into a practical configuration that reduces drafting time and supports ongoing refinement. - Leave with a next-step plan
Identify where to use your assistant first, what to observe, and how to keep improving results after the workshop.
The Learning Experience
This in-person, 4-hour Custom Assistant Studio is hands-on and implementation-focused. It’s best if you’ve completed AI Brand Messaging: Applied Workflow, or already feel confident providing clear inputs and constraints. Bring a laptop and a paid account for Microsoft Copilot, Google Gemini, or ChatGPT (OpenAI) so you can build and test during the session. You’ll work on your own use case with 1:1 instructor guidance and leave with a working assistant you can start using immediately.
Cost
Enroll now
You will be directed to our secure course registration and payment system.
If you need assistance with registration, our team is here to help. Contact us at (585) 475-2400 or certified@rit.edu.
Ready when you are
This course is not currently open for enrollment, but that doesn’t mean the opportunity has to wait.
If this course aligns with your goals or your team’s needs, let us know. Your interest helps us plan future sessions and may even accelerate the timeline. We also offer custom options for organizations looking to run tailored versions of this experience.
Hear from the experts
Watch an introduction by the creator of this course, [name]
Insight
Value
Meet Your Instructors
Our workshops are led by practitioners who pair real-world workflow experience with evidence-based learning design—so sessions are practical, engaging, and immediately applicable.
Thérèse Hannigan is a designer, strategist, and longtime business owner who has spent decades leading client projects and building human-centered digital experiences across industries. She now integrates AI into the same creative and strategic workflows—framing problems, synthesizing inputs, developing messaging, and iterating ideas—so teams can move faster with more clarity and stronger outcomes. She founded and led a design/UX studio acquired in 2019 and is a tenured faculty member in RIT’s College of Art and Design.
Mark Ferguson is an instructional designer, educational technologist, and experienced educator with over 15 years in education, including a decade focused on faculty development, online learning, and higher education innovation. He specializes in designing and facilitating high-impact workshops for adult learners, grounded in evidence-based instructional design and adult learning theory. His work blends deep expertise in curriculum design and emerging technologies—including AI—with coaching and collaborative program development.
For Teams & Employers
We offer private Custom Assistant Studios for teams ready to implement real messaging use cases. Private delivery allows us to align to your channels, tools, policies, and approval norms, use your real scenarios, and create shared assets (voice rules, examples, review checks, assistant instructions) your team can reuse. Teams often use this format to accelerate implementation and leave with a configured assistant that improves alignment across contributors. Optional follow-up working sessions are available to support rollout and refinement.
Pathways and certificates
This course is part of a broader mastery certificate.
Explore how it fits into a full learning journey.
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