TIFFANY CARRELL

Rethinking AI Education:
‍Anthropic Case Study

Anthropic logo image

Stop teaching AI and start igniting curiosity.

‍I designed, prototyped, and built a strategic framework for a learning ecosystem that challenges the traditional approach to product education as part of a final round interview with Anthropic. By moving beyond only utilizing dry content, bloated tutorials, and endless feature lists, I aimed to create an experience that sparks curiosity and builds real understanding.

The goal wasn’t just faster onboarding and more net-new users, it was deeper engagement through those “wait - can it really do that?! What else!?” moments. Rather than asking users to memorize prompts or follow rules, it invited them to explore, experiment, and wonder.

Why It Matters

This wasn’t just a project. The deeper I got, the more I realized this was what I've wanted to build my entire career. 

It surfaced what’s broken in most learning platforms, especially when it comes to complex, emergent tools like AI. On a tl;dr level, I didn’t treat AI like a product to be explained. I treated it like a relationship to be built. My approach reframed AI learning as co-evolution: humans and machines "figuring things out" together. That’s how you move past surface-level understanding and unlock the fluency, mindset shifts, and team behaviors that actually stick.

The Challenge

How might we transform AI education from a sequence of features and tutorials into a curiosity-driven journey of discovery? I needed an approach that honored the learner’s sense of wonder while grounding them in real-world exploration, not just product proficiency.

The Big Idea

Traditional onboarding leans on documentation, tooltips, and linear walkthroughs. But AI isn’t just a tool; it’s a co-creative partner. My vision was to build a living system where learning is fueled by emotion, shaped by cultural context, and sparked by genuine exploration.

My Role

As part of a one-day solo take-home assignment for Anthropic, I designed and built a multimodal, multisurface learning experience that spanned strategy, UX, narrative, and content. I approached it as a focused sprint, interpreting the 1-day brief as a 24-hour challenge.

While the solo nature of the assignment meant I handled every part (concept development, research, voice, copy, prototype, site, etc.) I’m a deeply collaborative builder by nature. This just happened to be a solo mission.

Guiding Principles

Curiosity > Comprehension : Lead with wonder. Explanation comes after exploration, not before.
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Human-Centered, Culturally Rooted : Personas are based on emotional drivers, cognitive patterns, and team dynamics; not just job titles.
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Scaffolded Mastery : Content adapts to confidence, not arbitrary “levels.” It grows with the learner, not ahead of them.
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Collective Learning + Solo Tutorials : Embedded rituals and moments of discovery create momentum, so design for teams as well as individuals.

Deliverables

Concept docs + full project framework

Empathy research & audience insights docs (rooted in emotional and cultural dynamics of AI adoption)

Deep persona building – Victoria, Maya, and Sasha each reflect distinct user needs and mental models

Sample content, including blog post, podcast script, social media series, education copy, UX copy, etc.

Prototype “First Contact” learning experiment (see image below)

Advanced prototype walkthrough scripts for scaffolded expertise

MCP Walkthrough for non-technical users

Custom Voice & Tone docs

End-to-end capture of my journey

Site build
A screenshot of an interaction with Claude AI
Contact Me

I'm excited to keep diving into:

Team learning dynamics and cultural adoption frameworks

Building systems that not only teach, but transform how teams relate to each other and to AI.

‍Predictive learning models and adaptive pathways

Designing experiences that respond to users in real time, surfacing just-right challenges and moments of delight.

‍Rituals of discovery that deepen human-AI collaboration

Shaping practices that turn interaction into relationship, and novelty into trust.

Collective intelligence as an emergent design force

Not just "designing for users" but designing with them, in feedback loops that learn as fast as they do.

Learning as sense-making in complex systems

Reframing education as a tool for navigating ambiguity, not just transferring knowledge.

Speculative prototyping as pedagogy

Using what could be as a way to rewire how we think, feel, and engage with technology.
Copyright Ⓒ 2025 Tiffany Carrell ♡ All rights reserved.