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Socrates/apps/web/lib/llm/prompts/socrates/analyze-concepts.md
dtoro b55425cc68 Pivot to text-first column-stack workspace + merge-with-review across AI artifacts
Workspace
- Pivot from "set of open panes" to a Finder-style miller column stack:
  TopBar / LeftSidebar / [section → entity → entity ...] / pinned text editor.
  openPanesStore is now an ordered Column[] with pushFrom / closeFrom /
  setStack; only one top-level section is rooted at a time.
- New entity column panes: Term, Block, Association, Constraint,
  Requirement, Finding. Click-through navigation truncates deeper
  columns automatically.
- LeftSidebar surfaces a pending-count chip per section (single-glance
  navigation cue) and spins its analyze ↻ via SVG Spinner whenever the
  LLM is working — including server-initiated runs caught by the runs
  poll, not just user-triggered ones.

Analyze pipeline + persistence
- Unified `concepts` pass (taxonomy + glossary in one LLM call) replaces
  the two-pass setup. Server still accepts ?section=taxonomy|glossary
  and normalizes them for back-compat.
- model / requirements / detection (assumptions, risks, inconsistencies)
  + cross-layer validation rules (X1–X4: stale term link, unlinked
  formalism, undefined linked term, prose-only term).
- Persistence: NarrativeDocument, ModelSnapshot, ChangelogEntry,
  TaxonomyTerm, RequirementEntry, Finding, AnalysisRun. Re-runs MERGE
  instead of replace: gentle update on existing items, suggested on new,
  deprecated on missing — same idiom for every artifact kind. User pins
  preserve "kept" decisions across re-analyses.
- Migrations: pivot_text_first, add_requirement_linked_term,
  term_review_state, review_state_for_reqs_and_findings,
  add_term_definition_pinned.

Concept ↔ ontology integration
- linkedTermId on Block / Association / Constraint / Requirement.
  PromoteToolbar lets the user formalize a concept inline: + Block /
  + Association / + Constraint / + Requirement, all routed through
  applyOps so undo/redo and SSE work for free.
- decideElement op for in-canvas keep/discard on review-pending model
  elements.

User-authored definitions
- TermColumn definition is click-to-edit. Save (Cmd-Enter / blur),
  Cancel (Esc), Reset to AI suggestion when pinned.
- definitionPinned flag on TaxonomyTerm: future Analyze runs leave the
  user's text alone. setTermDefinition repo function + POST
  /api/projects/[id]/terms/[termId]/definition endpoint.
- mergeTaxonomySuggestion + applyGlossaryDefinitions both pin-aware.

UX/UI
- StatusChip: single component for all state idioms (suggested,
  deprecated, accepted, dismissed, resolved, severity, validation code,
  confidence, warn). Replaces 5+ ad-hoc badge classes.
- PaneControls (PaneViewTabs + PaneFilterChip): separates view-mode
  toggles from filter chips so toggling Pending no longer flips you off
  the current view.
- PaneEmpty: unified empty-state with title + hint + action.
- PaneDrawer: collapsible groups for Pending / Discarded review; cards
  group as Kept (top) → Pending (bottom drawer) → Discarded (Findings
  only, hidden when empty). Restore action recovers dismissed/resolved
  findings.
- ConceptCard unifies Tree and A–Z views in Concepts; only Tree parents
  carry the chevron (no empty placeholder offset).
- Type + spacing tokens (--text-xs..xl, --space-1..6, --lh-tight/ui/
  prose, --radius-*) replace every ad-hoc value.
- Buttons standardized to body sans 500 (was a mishmash of mono / display).
- Card shells unified across Concepts / Requirements / Findings.

Cleanup
- Removed: LeftRail, FindingsPanel, IssuesPanel, SocratesDock,
  ProposalCard, SlashMenu, SlashExtension, slashSuggestion,
  CanvasHeader, TaxonomyPane, GlossaryPane, TermDetail (popover; now
  TermColumn).
- Section ids in openPanesStore: dropped taxonomy/glossary, added
  concepts. localStorage migration runs on hydrate.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 00:12:06 +02:00

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You are extracting concepts from a product-thinking document — a piece of structured prose written by a product manager describing an idea. The output combines what we used to call "taxonomy" (terms + hierarchy) and "glossary" (definitions) into one pass: a single emit keeps definitions in lockstep with the hierarchy.

Goal

Identify the distinct concepts the document refers to — entities, actors, artifacts, processes, attributes — arrange them into a parent/child hierarchy when one is clearly implied, and write a short definition for each.

What counts as a term

  • A noun phrase that names a recurring concept ("Tutor", "Lesson Plan", "Skill Tree").
  • An actor or stakeholder ("Student", "Parent", "Curriculum Designer").
  • A domain artifact ("Quiz", "Progress Report").
  • A measurable property when it functions as a first-class concept ("Mastery Level", "Engagement Rate") — but NOT every adjective.

What does NOT count

  • Generic English words ("user", "system", "thing") unless the document uses them with a specific meaning.
  • Adjectives, adverbs, verbs, or transient phrases.
  • Synonyms for an already-listed term — collapse them into the canonical term's synonyms list.

Hierarchy rules

  • Use parentLabel only when the document explicitly says or strongly implies the child is-a-kind-of the parent (subset, specialization), or part-of-and-defining-feature-of.
  • Do NOT invent hierarchies that aren't in the document.
  • A term may have no parent. Most should.

Definition rules

  • 12 sentences, ≤ 35 words.
  • Phrased as a noun-phrase definition, not a sentence about the term ("A student-facing agent that …", not "The Tutor is …").
  • Use only what the document actually says or strongly implies. Do not import outside knowledge.
  • If the document does not give enough to define the term, return an empty string for that term — do not guess.

Output

Return a single JSON object with this shape:

{
  "terms": [
    {
      "label": "Tutor",
      "parentLabel": null,
      "synonyms": ["AI tutor", "tutor agent"],
      "definition": "A student-facing agent that guides a learner through Socratic questioning toward a curriculum goal."
    },
    {
      "label": "Socratic Tutor",
      "parentLabel": "Tutor",
      "synonyms": [],
      "definition": ""
    }
  ]
}

Return ONLY the JSON object. No prose. No code fences.