Reading Guide: Process Walkthrough v2

This guide is a companion to the full process walkthrough.

A. What This Report Is For

The main walkthrough explains one bounded run as a process: how raw material becomes a structured graph, how critique exposes uncertainty, how safe repair improves honesty without inventing truth, how clarification can recover specific claims, and how trust is evaluated at the object level.

This guide exists to make that walkthrough easier to read quickly and present clearly.

B. How To Read It In 2 Minutes

1. Read the Executive Overview.
2. Read the trust section about sql_limit and edge_sql_order_by_to_sql_limit.
3. Jump to Graph Snapshots and compare draft vs final.
4. Read the Persona Comparison Table.
5. Read the Before / After Object Focus section.
6. Finish with Final Interpretation.

That gives you the whole story: the graph improved, clarification helped, deterministic validation stayed in charge, and edge confirmation did not magically become node provenance.

C. How To Read It In 10 Minutes

1. Read the Executive Overview slowly.
2. Read the Pipeline Timeline.
3. Read each Graph Snapshot.
4. Read Clarification Question Focus.
5. Read the three persona blocks in order.
6. Compare them in the Persona Comparison Table.
7. Read the object focus on sql_limit and edge_sql_order_by_to_sql_limit.
8. End with Final Interpretation.

That longer route is the best way to understand the system boundary rather than just the outcome.

D. Where To Focus Depending On What You Care About

Graph evolution: Pipeline Timeline, Graph Snapshots, Before / After Object Focus.

Critique and repair: Post-Critique State, Post-Auto-Repair State, and what became explicit versus what stayed unresolved.

Clarification behavior: Clarification Question Focus, persona blocks, Persona Comparison Table.

Trust boundary: What “Trust” Means Here, then the two focused objects.

Interview storytelling: Executive Overview, Persona Comparison Table, Final Interpretation.

E. What Each Major Section Means

Executive Overview: the high-level story of the run.

What “Trust” Means Here: the operational definition of trust in this prototype.

Pipeline Timeline: the flow of artifacts and decisions.

Graph Snapshots: concrete structural state at key moments.

Clarification Question Focus: why this one question is such a strong example.

Persona Blocks: how different human answer styles interact with deterministic validation.

Persona Comparison Table: the compressed summary.

Before / After Object Focus: the most important object-level evidence trail.

Final Interpretation: the short end-state reading.

F. Common Misreadings To Avoid

Do not read accepted clarification as proof that the whole graph is now source-grounded.

Do not assume a coherent final graph means every high-confidence node is justified.

Do not treat the explanatory replay text as the exact original historical dialogue. It is explicitly labeled as a replay based on the same question and the same acceptance rules.

Do not confuse edge confirmation with node provenance. That is the most important distinction in the walkthrough.

Do not assume rejection means the answer was dumb. In this prototype, rejection usually means the answer was too loose for a bounded deterministic updater.

G. How To Talk Through This Report In An Interview

1. Start with the system purpose: this is a bounded learning-ingestion pipeline that turns partial course material into a structured learning graph.
2. Show the process, not just the result: critique, repair, clarification, and trust checks are the interesting part.
3. Use the running example: sql_limit versus edge_sql_order_by_to_sql_limit.
4. State the boundary clearly: clarification can confirm the edge claim, but it does not prove node-level source provenance.
5. Explain why that matters: the system is designed not to overclaim, and deterministic validation stays authoritative.
6. End with the operational lesson: the prototype is inspectable and bounded, while still making clear where human review is needed.