CAITLEN MACIAS
CEO of BotQueen | AI Consultant | Speaker | Innovating & Inspiring teams to leverage AI
Guest Intro:
In this episode, we sit down with Caitlen Macias.
Caitlen is the founder and CEO of BotQueen, a mission-driven technology company that helps businesses and nonprofits adopt AI in practical, human-centered ways, with a focus on real workflows instead of hype. She draws on years of entrepreneurial and activist experience, plus a background in project-based learning and the arts, to translate complex tools like ChatGPT, Gemini and Copilot into clear, usable systems for everyday teams.
In the conversation, Caitlen and Kirk talk about the true history and pace of AI, how to train non-technical staff, why good prompts and data discipline matter, and what responsible implementation actually looks like. They also explore authenticity in AI-generated content, the future of work, women’s mental load and burnout, and how small, supportive actions at home and at work still matter in a highly automated world.
Links
Topics That Discussed on Podcast
➤ Growing up in Mexico and Palm Beach County, and how Montessori and project-based schools shaped her thinking
➤ The AI “revolution” after the release of ChatGPT and how long AI has actually been in the background
➤ Teaching non-technical teams to use AI, from prompt basics to having AI write better prompts for you
➤ Using tools like ChatGPT, Gemini, Grok, Claude, Perplexity, and Microsoft Copilot in real workflows
➤ Why many AI and CRM implementations fail without data discipline, clear workflows, and proper socialization
➤ How AI, automation, and rising costs intersect with women’s invisible labor, burnout, and the need for shared household load
"Data is power. Why do you think the government and all these large AI companies are collecting so much data?"
– Caitlen MaciasHow AI Actually Changes Work, Women’s Mental Load, and Authentic Content
A grounded conversation with Caitlen about the real state of AI, how to train teams beyond the hype, and why human connection, data and thoughtful systems matter more than shiny tools.