Foundations Readiness Checklist
Complete this checklist before proceeding to Level 1: Prompt Engineering. Minimum passing score: 10/12 items checked.
Mental Models
- I can explain what a "token" is and why token count matters for system design
- I can explain the difference between a context window and memory
- I can draw the Harness Architecture from memory (7 components)
- I can explain the 50/50 Rule and give an example of what belongs on each side
- I can name and describe at least 5 of the 10 LLM failure modes
System Design Readiness
- For my current project, I have defined the task boundary (where AI ends, determinism begins)
- For my current project, I have assessed the failure cost (what happens when the model is wrong)
- For my current project, I have defined the trust boundary (what the model can and cannot access)
- For my current project, I have an evaluation strategy (not "we'll check it manually")
Provider & Cost
- I understand the difference between API cost and total cost of ownership for AI features
- I have calculated a rough token budget for my primary use case
- I have a plan for provider abstraction (not hardcoding a single provider's API)
If You Cannot Check These Items
| Missing Item | Read This |
|---|---|
| Mental models | 01-how-llms-think.md |
| Harness Architecture | 02-the-harness-principle.md |
| 50/50 Rule | 03-50-50-rule.md |
| Failure modes | 04-failure-modes.md |
| Provider/cost | 05-provider-landscape.md, 06-cost-mental-models.md |
| Latency | 07-latency-tradeoffs.md |
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