An AI partner focused on clarity. We cut through the noise.
What we do.
Nothing Fancy is an AI consultancy that delivers custom agentic projects and provides hands-on training for engineering and design teams. We help technology teams implement practical AI solutions by cutting through the noise and making AI real.
When AI moves too fast, we make it simple.
Brands we worked for or at
Workshops
Our AI workshops empower UX teams to co-lead in the AI era through hands-on training covering data intent, system prompts, and evaluation criteria. We give non-technical team members the skills to actively influence AI applications.
Custom Training Programs
The AI Model Designer Workshop: How UX teams Shape AI Model Behavior
Demystify the pillars of the AI Development Flywheel:
- DATA: How data intent guides model behavior.
- CONTEXT: How to write effective system prompts and instructions.
- EVALS: How to create evaluation criteria aligned with user needs.
Includes certificate
Give non-technical team members the skills to influence AI applications actively.
Speaker Engagements
Conferences, events, podcasts. We are there.
The Team
Nothing Fancy was founded by Wesley Nichols (AI Engineering) and Paz Perez (AI Design), combining deep technical expertise with human-centered design experience from Google, Autodesk, and Silicon Valley startups.
Wesley Nichols
Wes leads AI engineering initiatives that help organizations scale through agentic workflows and resilient system architecture.
He specializes in building the technical foundations required to fully leverage AI, drawing on experience that spans startups, agencies, and enterprise level organizations.
Founder
AI Engineering
Founder
AI Design
Paz Perez
Paz has led design solutions used by millions across the tech ecosystems of San Francisco and New York. As a regular speaker at industry conferences, she shares her expertise on design, systems thinking, and AI.
At Google, she developed the "Gen AI for UX Teams" program, upskilling hundreds of designers in AI. Having coined the term “Model Designer,” she now helps teams design with a focus on data, context, and evaluations.