Teacher fellows, pilot schools, student artifacts, and employer feedback loops.
New podcast · Premieres October 5, 2026
CTE Vibe Lab
is open.
AI app-building for career and technical educators. One big idea, one tool and one live build every episode, hosted by Michael Mino. No coding background required.
From CTELab.ai, the AI venture studio that keeps career and technical education hands-on.
Episode 1, "Hello, World" · 30-second promo
Problem discovery
Prototype
School pilot
Evidence
Scale decision
Practical CTE AI products with pilot evidence.
Photos, video, voice, project logs, rubrics, safety expectations, and career artifacts.
Each cycle ships a prototype, pilot report, implementation playbook, and adoption decision.
AI should not pull students away from the work. It should help them plan it, improve it, explain it, document it, and carry it into their futures.
Five Focused Product Ideas...
Build Lab App
A live CTE workspace where students sign in, choose trade areas, search projects, start challenges, and build AI-supported portfolios.
View app detailCurriculum Exchange
Teachers generate, adapt, review, and share project-based lessons, safety scenarios, rubrics, and prompts.
Scenario Simulator
Voice, image, and text practice for safety, customer communication, workplace judgment, and technical reasoning.
Portfolio Assistant
Turns project logs into technical documentation, resumes, portfolio copy, and interview-ready skill language.
Shop Coding Support
Helps non-CS CTE students add sensors, dashboards, automation, and AI features to physical builds.
Build, Pilot, & Deploy in a variety of CTE settings.
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Q1 · Discover
Interview 30-50 teachers, students, administrators, and employers; select 3-5 partner schools.
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Q2 · Prototype
Build two priority prototypes; create privacy, consent, and acceptable-use protocols.
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Q3 · Pilot
Run 4-8 week classroom and shop pilots; collect artifacts, observations, interviews, and usage data.
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Q4 · Decide
Refine, expand, pause, merge, or spin out each product based on evidence and adoption readiness.
Partner fit
The lab is built for Collaboration.
AI partners
Multimodal workflows, safety evals, model reliability, and tool integrations.
Schools
Teacher fellows, pilots, implementation context, and student work samples.
Employers
Scenario realism, skill language, pathway expectations, and portfolio feedback.
Capital
Seed the portfolio, fund pilots, and support products with credible adoption paths.
