The six sessions ๐ฏ ยท one routing playbook, built across all of them
Bring your team's real backlog. Each session adds one routing rule; by session 6 all five run live against Cadence's ten workloads, and then against yours.
The triage question
Why "should we use AI" is the wrong first question, the two-question test that routes any workload, and what the 95 percent failure statistic actually measures.
๐ Session 2 ยท easyThe almost-free tier
Dashboards, SQL and rules: verified once, then cents forever. The 10 GB question that costs six cents as a query and five figures as tokens.
๐ฒ Session 3 ยท mediumWhen classic ML wins
Structured prediction is a trained model's home game: the tabular evidence stack, backtestability, and inference for cents on the middle rung.
โจ Session 4 ยท mediumWhen GenAI wins
Unstructured language, judgment and generation - where the tokens are the bargain. Plus the cascade: Checkr's 5x and Google's 100x from escalating only the residue.
๐งฎ Session 5 ยท hands-onThe cost and risk math
Real token math on real prices, why the true cost includes evals, monitoring and cleanup, and the error-cost asymmetry that dwarfs every API bill.
๐บ๏ธ Session 6 ยท capstoneThe routing playbook
All five rules live against the full backlog: $2,315 to $416 while trust climbs 0/10 to 10/10. Then the one-page tree becomes yours.
Your passport ๐ซ
Clear all three quiz questions in a session and it gets stamped. Stamps live in this browser only.
Choose your path ๐บ๏ธ
Three doors into the same discipline: the tool is chosen by the work, never the other way round.
What is real here ๐งพ
A course about honest costing owes you an unusually precise account of its own numbers.
| Claim | Status |
|---|---|
| The dashboard answers in the simulator | Real. Computed live in your browser from the embedded 168-day dataset when you route a workload there |
| The LLM answers in the simulator | A deterministic teaching model of documented failure modes, labelled as such on the widget. It calls no API |
| Every price | Official published rates, dated September 2026: Claude Sonnet 5 at $2/$10 per million tokens, BigQuery on-demand at $6.25 per TiB |
| The 95 percent pilot statistic | MIT Project NANDA, taught with its own author's correction: a learning gap in organizations, not model failure - and not peer-reviewed |
| The 80 percent project-failure figure | RAND cites external estimates; what RAND measured is the ranked root causes, led by leaders misunderstanding the problem |
| Trees beat deep learning on tabular data | Scoped honestly: typical, medium-sized tabular data, per Grinsztajn et al. and the follow-up benchmark literature |
The knowledge map ๐ง
The whole course at a glance - hover a session to spotlight its concepts, click any node to jump in.