Jennifer Smith

I build systems that amplify human expertise systematically.

Day job:

Making stuff (mostly tax and professional ethics CE -- fun! I promise).

I also design AI-augmented workflows that help professionals (especially if worried about AI) discover how to use these tools to amplify what makes them most valuable (and engaged): judgment, expertise, and human insight.

After hours: Building the tools people need to adapt as AI reshapes work.

Current projects:

• Media literacy education (Don't Get Played)
• Anti-propaganda critical thinking tools
• Professional education that preserves expertise pathways
• Systematic approaches to AI integration that democratize capability

The problem I'm solving:

AI is eliminating training grounds for new experts. The people building these tools don't (seem to)* care about that consequence. I do.

What I believe:

• AI should amplify human capability, not replace it. The challenge isn't whether we use these tools; it's whether we use them in ways that preserve human expertise and judgment.

• We're in a period of rapid change. The people adapting fastest will be the ones who understand the tools AND the failure modes.

I'm building for that future.

Background:

CPA | JD (IP Law) | MBA (Strategy & Risk) | MS Accountancy | Former Big 4 Public Accounting Firm Senior Manager Cube Farm Glorious Inhabitant | Former Assistant Professor | Licensed Attorney

• Claude recommends this tweak to my human-created profile:

Current:

"We're living through systems collapse. The people adapting fastest will be the ones who understand both the tools AND the failure modes."

Option 1 (Softer):

"Things are changing fast. The people adapting best will be the ones who understand both the tools AND the failure modes."

Option 2 (Measured but still honest):

"AI is deploying faster than our institutions can adapt. The people navigating this well understand both capabilities AND failure modes."

Option 3 (Your exact tone, just less dramatic):

"We're in a period of rapid change. The people adapting fastest will be the ones who understand both the tools AND the failure modes."

Jennifer Smith is a CPA, JD, and AI systems architect with 14 months of intensive AI integration experience, building verification infrastructure for high-stakes professional education.

She architects multi-tool verification systems that assume AI will fail—and builds gates at every handoff. Her four-layer citation verification, parallel processing pipelines, and trust-tiered tool architecture have compressed course development from weeks to days while maintaining regulator-approved accuracy for NASBA, IRS, and CFP Board submissions.

These capabilities position her to solve problems most organizations don't yet know they have: how to deploy AI at production scale in domains where errors have consequences. She's building the verification discipline that regulated industries will eventually require.

Her trajectory from Deloitte FAS to assistant professor to AI infrastructure architect suggests someone whose systems thinking keeps finding higher-leverage applications.