Put every AI project your lab or company runs or wants on one sheet, as problems. Score each by value, effort, risk and who keeps it running after you leave, retire what no longer earns its upkeep, and keep a decision log a successor can follow without you.
Matching textT17-L05 · Structure & understand · Level 5 Operator · 17-minute read, plus 4 hours of doing Decide Which Problems Deserve Building Eight things, one person, four months Your group now runs more…
Preview: Run a Pilot with Real Users and Real Data
Level L04
T17
18 min read
Test a solution on real work before your lab or company depends on it. Set the pilot's scope, success criteria and data permissions before day one, keep a way back, measure what matters, and end with a written go, change or stop decision that follows rules you set in advance.
Matching textT17-L04 · Structure & understand · Level 4 Integrator · 18-minute read, plus 4 hours of doing and a 4-week pilot Run a Pilot with Real Users and Real Data It worked on the test data Your group…
Preview: Explore What Already Exists Before You Build
Level L03
T17
18 min read
Before you build something colleagues will depend on, scan how the job is done today, what products, papers and examples exist, and what you can reuse. Use an AI research mode for the scan, check its claims against real sources, run one small experiment and rewrite the problem.
Matching textT17-L03 · Structure & understand · Level 3 Builder · 17-minute read, plus 3 hours of doing Explore What Already Exists Before You Build Three weekends, then a link from the core facility A PhD…
Ask about concrete experiences and problems rather than pitching a solution. Adapt startup framing to colleagues; recap timestamps are not original-video timestamps.
Matching textT17-L02: Learn to ask about concrete past experiences and existing workarounds instead of pitching your solution. Adapt the startup interviews to colleagues; the recap's timestamps are not timestamps…
Preview: Strategyzer Webinar: The Basics Of Testing Business Ideas
youtube
Choose a hypothesis, design an experiment, run it and learn from results. Business experimentation, not AI-specific data permissions, rollback or stop controls.
Matching textT17-L04: Learn to choose a hypothesis, design a test and learn from its results. This 2018 business-experimentation webinar complements the pilot method; retain the book's data permissions, stop…
Use opportunity cost and differentiation for build-versus-buy decisions. Vendor discussion and predictions, not independent product evaluation or internal reuse scan.
Matching textT17-L03: Watch 2:08–3:56 for opportunity cost and differentiation as reasons to build or buy. Treat this vendor discussion as decision framing, not independent product evidence; still scan internal…