AI for hands-on learning

AI that Keeps
Career & Technical Education Hands-on

CTELab.ai is an AI venture studio for CTE. We turn real school and shop-floor needs into teacher-guided tools, pilot them in classrooms, and move proven products toward sustainable adoption.

Problem discovery Prototype School pilot Evidence Scale decision

Practical CTE AI products with pilot evidence.

Field access

Teacher fellows, pilot schools, student artifacts, and employer feedback loops.

Multimodal Action

Photos, video, voice, project logs, rubrics, safety expectations, and career artifacts.

Evidence path

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...

01

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 detail
02

Curriculum Exchange

Teachers generate, adapt, review, and share project-based lessons, safety scenarios, rubrics, and prompts.

03

Scenario Simulator

Voice, image, and text practice for safety, customer communication, workplace judgment, and technical reasoning.

04

Portfolio Assistant

Turns project logs into technical documentation, resumes, portfolio copy, and interview-ready skill language.

05

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.

  1. Q1 · Discover

    Interview 30-50 teachers, students, administrators, and employers; select 3-5 partner schools.

  2. Q2 · Prototype

    Build two priority prototypes; create privacy, consent, and acceptable-use protocols.

  3. Q3 · Pilot

    Run 4-8 week classroom and shop pilots; collect artifacts, observations, interviews, and usage data.

  4. 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.