Friendly Ladder
Friendly Ladder / Tutorial 06

Tutorial 06 · Beginner

Build Your Personal Decision Ladder

Create a repeatable decision method, use AI to gather and challenge evidence, make the choice yourself, and preserve what you learn for the future.

60-70 minutesNo coding8 guided stepsIncluded in Discovery Pack and Premium Pack

You will build

A learner-approved memory/DECISION-METHOD.md, one evidence-backed entry in memory/DECISIONS.md, and an outcome-review trigger connected to memory/LEARNINGS.md

You will strengthen

Framing decisions, defining personal criteria, evaluating evidence, exposing assumptions, interpreting comparisons, accepting trade-offs, and learning from outcomes

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Learning map

Tools and capabilities

Tools

ChatGPT with web searchCodexLocal project memory files

Capabilities

Decision framingEvidence evaluationAssumption testingOutcome learning

Before you begin

What you need

  • Completed Build a Project That Remembers
  • One reversible low-to-medium-stakes decision or a supplied fallback
  • A browser for checking current public information

See the system

A visual guide before you begin

Seven-step Decision Ladder moving from framing and personal method through criteria, evidence, challenge, learner choice, and later outcome review.

Swipe or scroll to read the full diagram.

Seven-step Decision Ladder moving from framing and personal method through criteria, evidence, challenge, learner choice, and later outcome review.
Memory loop in which DECISION-METHOD guides a choice, DECISIONS records it, and an observed outcome adds a learning that may improve the method.

Swipe or scroll to read the full diagram.

Memory loop in which DECISION-METHOD guides a choice, DECISIONS records it, and an observed outcome adds a learning that may improve the method.

Practice assets

Download what you need

Personal Decision Ladder starter kitCopy-ready method, criteria, evidence, comparison, decision-record, outcome-review, and fallback templates.Download →Completed fictional Decision Ladder exampleA privacy-safe, completed fictional example that shows analysis, learner choice, and later learning without giving advice.Download →

Step-one preview

Reconnect to memory and choose safely

Objective

Start from the existing project memory and select one suitable learner-owned decision.

Visible result

You have one suitable decision, the starter kit, and the correct existing memory files.

Completion check

I selected a safe practice decision and confirmed that the final choice remains mine.