module 4 of 7 · 50 min

Planning

Build a working mental model of Planning then connect it to implementation evaluation and production trade-offs.

Explain Planning clearlyImplement a small Planning exampleEvaluate whether Planning improves a simpler baselineIdentify failure cases and operational constraints
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mental model

start with the idea before the implementation.

Treat Planning as an engineering component with inputs assumptions outputs failure modes and measurable success criteria.
core concepts

the mechanisms you need to reason about.

01

Planning foundations

Planning foundations is studied through intuition implementation evidence and trade-offs. The goal is to be able to explain the mechanism and verify it with a concrete test rather than only repeat a definition.

02

Planning implementation

Planning implementation is studied through intuition implementation evidence and trade-offs. The goal is to be able to explain the mechanism and verify it with a concrete test rather than only repeat a definition.

03

Planning evaluation

Planning evaluation is studied through intuition implementation evidence and trade-offs. The goal is to be able to explain the mechanism and verify it with a concrete test rather than only repeat a definition.

04

Planning production trade-offs

Planning production trade-offs is studied through intuition implementation evidence and trade-offs. The goal is to be able to explain the mechanism and verify it with a concrete test rather than only repeat a definition.

engineering lab

turn the lesson into evidence.

LAB 1

build a small Planning artifact

Build the smallest version first. Record the input, expected output, measured result and one failure you discovered.

LAB 2

measure one success metric

Build the smallest version first. Record the input, expected output, measured result and one failure you discovered.

LAB 3

document one failure case

Build the smallest version first. Record the input, expected output, measured result and one failure you discovered.

knowledge checks

prove you can explain and decide.

1

explain Planning without memorized jargon

ask cortex to test me →
2

compare it with a simpler baseline

ask cortex to test me →
3

identify when not to use it

ask cortex to test me →
failure modes

what usually goes wrong.

risk

complexity before baseline

Detect this early by defining a baseline, a measurable signal and a condition that would cause you to stop or redesign the approach.

risk

weak evaluation

Detect this early by defining a baseline, a measurable signal and a condition that would cause you to stop or redesign the approach.

risk

undocumented assumptions

Detect this early by defining a baseline, a measurable signal and a condition that would cause you to stop or redesign the approach.

proof of learning

Create a short Planning engineering note with one working artifact one metric one failure case and one decision about when you would or would not use it.

Save the result in your portfolio or project repository. A strong learning artifact should make your assumptions, metrics and failure analysis visible.