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THIS WEEK · FREE
AI computer-vision quality inspection of wood for defects
An improved SSD deep-learning vision model automatically detects and classifies live knots,…
Machine Learning for Computer VisionStart now — freeYour first step is free — the rest opens with the pass.
Where this comes from
Includes a real Wood Knots Detection project that shows you how AI vision models train to spot and classify material defects automatically. (freemium · course)
MathWorks (on Coursera)
See the coursePeer-reviewed research
Read the researchTHIS MONTH · CITED RESEARCH
AI-optimized cut planning to minimize lumber waste
The African buffalo optimization algorithm arranges a cut list of varied lengths across…
Where this comes from
Peer-reviewed research
Read the researchTHIS QUARTER · WITH THE PASS
AI-assisted material takeoff and estimating from blueprints
Construction takeoff software uses AI to automatically locate, measure, and count items across…
Construction Estimating with Togal.AIA vetted, cited course — opens with the pass.Where this comes from
the vendor
See the course
Each next step is a course we checked for your role.
Full access to this role's plan for 72 hours. One-time — no subscription.
See a full 3-step example plan (from an Electrician) →
✓ Every course is real and cited
Start from your strengths
Step 1 · Reflect (free)
Start from your strengths
Pick up to 3. Your plan leads with the steps that put these to work.
Optional — sit with these for a few seconds
- Think of a time at work you felt most alive and effective. What were you doing — and what strength of yours made it work?
- What do people consistently come to you for?
- Which parts of your work would you protect, even if everything else changed?
Which feel most like you at your best? (up to 3)
Grounded in research on human strengths AI can't easily replace.