Add an optional Insight section to wiki pages

[fanyangCS]

Argus wiki pages currently do a good job of preserving project-specific facts and findings. I propose adding an optional Insight section for conclusions that go beyond factual summary: non-obvious patterns, abstractions, transferable lessons, cross-project connections, hypotheses, and implications.

Why this matters

1. Turn accumulated information into learning

Without a place to preserve insights, Argus can collect more facts without retaining how its own understanding developed. Each investigation risks remaining episodic: useful in the moment, but disconnected from later work.

An Insight section would capture what Argus inferred, what surprised it, which patterns appear important, and how its model of the subject changed. These insights can later be revisited, challenged, refined, or disproved, creating a durable learning loop rather than a static archive.

2. Develop abstraction capability

Producing a genuine insight requires Argus to move from concrete observations to more general representations:

• Which details are incidental, and which are essential?
• What underlying mechanism or pattern explains the observations?
• Under what conditions does the pattern generalize?
• Where might it apply elsewhere, and where might it fail?
• Can multiple observations be compressed into a reusable concept?

Repeatedly practicing this transition would push Argus to develop its abstraction capability. Remembering many cases is not enough; Argus should also learn principles it can transfer to unfamiliar cases.

3. Create value beyond individual projects

A lesson discovered in one project may expose a reusable engineering principle, research hypothesis, evaluation method, failure mode, or strategic trend. If it remains embedded in the original project narrative, its broader value is easy to miss.

Explicit insights could become links between wiki pages and help Argus carry knowledge across repositories, domains, and future investigations.

4. Keep facts and interpretation clearly separated

The main wiki content should remain factual and source-backed. A clearly labeled Insight section provides a safe place for analysis without presenting interpretation as established fact. It also allows interpretations to evolve independently as new evidence appears.

Proposed behavior

• Support an optional Insight section in wiki pages.
• Do not require it for every page; omission is preferable to generic or forced commentary.
• Clearly distinguish insights from verified facts.
• Allow multiple insights when they are independently useful.
• Where practical, link each insight to the observations or evidence that motivated it.
• Encourage cross-links to other projects or wiki pages when an insight appears transferable.
• Insights can be strengthened, narrowed, challenged, or invalidated as evidence changes, which is a part of learning process.

Suggested quality bar

A strong insight should ideally include:

1. Grounding: the concrete evidence or observations behind it.
2. Abstraction: the underlying pattern, mechanism, or principle.
3. Scope: where the abstraction is likely to apply.
4. Transfer: implications beyond the current project.
5. Uncertainty: assumptions, limitations, or possible counterexamples.

This structure should be guidance rather than a rigid requirement.

Non-goals

• Generating an Insight section for every wiki page.
• Restating the page summary in more speculative language.
• Treating model-generated interpretations as facts.
• Rewarding vague, universal-sounding claims without evidence or falsifiable scope.

Example

## Insight

The project’s repeated failures at component boundaries suggest that its main
reliability bottleneck is not the quality of individual components, but the
absence of explicit contracts between them.

This may generalize to other agent systems composed of independently capable
modules: improving interface invariants and observability could produce larger
reliability gains than improving any single model or tool.

Evidence is currently limited to this project, so the hypothesis should be
checked against other multi-agent systems.

Success criteria

• Wiki generation supports an optional Insight section.
• Insights are visibly separated from factual content.
• Empty or low-confidence sections can be omitted.
• The format supports evidence, scope, transfer, and uncertainty.
• Future workflows can retrieve and connect insights across projects.

Facts preserve what Argus learned about a project. Insights preserve how Argus’s understanding itself grew—and make that growth reusable beyond the project.

[fanyangCS]

I reopen this issue as no corresponding PRs yet. And no hurry.