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learnharness/docs/vision.md
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Amos 7c9132d5b4 docs: vision & plans — graph construction, session experience, presentation, roadmap
Captures 2026-08-22 decisions: hybrid live-emission + consolidation graph
construction (reversing the vault doc's teacher-untouched rule), one
substrate merged across sessions, structured plan-tree tools (mermaid
demoted to ad-hoc), probe/teach phase separation with collapsed teach
checks, right-panel tree view, LaTeX delimiter switch plan, and a
dependency-ordered roadmap.
2026-08-22 07:33:05 +03:00

9.7 KiB

Learning Harness — Vision & Plans

Living document. Started 2026-08-22, capturing the current vision and all agreed decisions. Amend as things evolve.

Prior art: knowledge graph design.md in the Obsidian vault (2025-08-20 ideation) — still canonical for the epistemic model (known vs understood, requires/supports, event ledger, calibration rubric, merging policy). This document records what today's decisions amend in it, and adds the session-experience and presentation layers the original doc deferred.


1. The knowledge graph — the centerpiece

Everything the learner learns accumulates into one persistent, cross-domain graph. It is the home page of the app and the heart of the system: structure builds out visibly over time, and the data supports frontier expansion, what-next queries, repairs, unlock-value (per the original design doc).

Critical requirement: frequent updates

The graph updates continuously, not per-session. A learner who answers a few questions and leaves without "finishing" a session must still see something new on the home page. Partial sessions deposit value. This requirement drove the construction decision below.

Construction: live events + background consolidation (DECIDED)

Amendment to the original design doc. The original doc stated "the teacher agent is never modified; all graph-building is post-hoc," and rejected live structured emission as too much cognitive load. That is now reversed, because the teacher will be maintaining a formal plan tree anyway (§2) — once it does, live emission is nearly free, and it's the only way to satisfy the frequent-updates requirement.

  • Live: the teacher maintains the session's dependency tree via structured tools and tags quiz outcomes to tree nodes as they happen. The home graph reflects this in near real time.
  • Background consolidation (lightweight, frequent): cross-session node merging (embed → kNN → LLM adjudication, conservative — duplicates over wrong merges), calibration rubric application, and edges that were articulated only in prose. Runs on navigation home / idle — not as a heavy per-session batch.
  • The original three-stage transcript-extraction pipeline survives only as (a) the retroactive bootstrap over old session files, (b) the audit/faithfulness net.

One substrate, merged across sessions (DECIDED)

A single node model: propositions at one-reasoning-step grain, requires/supports edges, no edge scalars. A session's plan tree is a session-scoped subgraph. The global graph is the merge of all session trees:

  • v1 (bare bones): merge = naive union. No adjudication yet.
  • later: the embed + LLM-adjudication merge pipeline from the design doc (the quiet superpower: cross-session/cross-domain edges only ever get created here).

Carried over unchanged from the design doc: known (evidence property) vs understood (derived structural property); event ledger as source of truth with derived state recomputed; anchored 5-level calibration rubric; misconception nodes as first-class structure; candidate node class for frontier territory.

Rendering (direction; library choice pending research)

  • Lightweight above all. Runtime performance matters; interactivity does not.
  • Physics only for placement + stabilization (Obsidian-style settle), then the graph goes static — near-zero idle CPU. No dragging, no force sliders, no editing interactions.
  • Pan + zoom (trivial), labels appearing at zoom thresholds.
  • Target feel: the Obsidian graph — dots, thin edges, settled physics.
  • Layout architecture options under research: client-side simulation on mount vs. precomputed coordinates (server/worker, e.g. d3-force or forceatlas2 run headless) with "run N ticks then freeze."
  • Candidates under research: sigma.js (WebGL), d3-force + custom canvas renderer, cosmos/cosmograph, react-force-graph-2d. A research report lands separately and the decision gets recorded here.

Home page

The graph view replaces the current placeholder. v1: all nodes from all sessions (naive union), node color/shape by state class (taught / probed / known / not-held / candidate later), pan/zoom, labels at zoom. Clicking a node → the session(s) that touched it (cheap version: title list). Everything richer (frontier glow, rot map, blast radius) comes after the consolidation pipeline exists.


2. The session experience — not a generic chat

Goal: a learning session must look and feel structurally different from a ChatGPT/Claude conversation. The differentiator is making the session's dependency tree a formal, visible, agent-editable object rather than a throwaway mermaid sketch.

The formal plan tree (DECIDED)

  • The agent authors the tree via structured tools — add_node, add_edge, reparent, remove_node, set_current, … — schema-validated, with stable node identity across edits. Mermaid text as the source of truth was rejected: edits would be text surgery and identity would drift.
  • The agent may edit the tree mid-session at its own initiative (detour when the learner asks something worth exploring, go deeper, prune) — that power is explicit.
  • "Where we are" is tracked as structured state (a set_current tool), not inferred from the transcript.
  • Mermaid survives only for ad-hoc lesson diagrams (flows, cycles, comparisons) that are not the plan tree. Its rendering quality must improve (integrated display, working zoom/pan — current code-block-ish rendering is unacceptable), but it's now a peripheral concern.

Two phases, clearly separated (DECIDED)

  • Probe and teach are the two real phases; planning is not a phase, just a moment (maybe a small indicator).
  • The agent signals the probe→teach transition with a structured marker → visible divider in the transcript.
  • Probe-phase questions auto-open (as now — they are the substance of probing).
  • Teaching-phase check questions start collapsed behind a "Check your understanding" reveal button. Rationale: a question popping up mid-lesson pressures the learner to answer immediately; the learner should read the teaching first and open the check when ready.

Persistent tree view (DECIDED)

  • Right-side collapsible panel in the session UI: the whole tree, at all times, with clear visual separation between nodes and states (done / current / next / upcoming), collapsible to a thin strip.
  • This panel and the agent's tools share the same underlying data — the tree is one object with two faces (agent edits it, UI renders it).

3. Presentation layer (noted, not yet scheduled)

  • LaTeX delimiters: switch to the ChatGPT convention. Inline math \(...\), display math \[...\]. The single $ is retired from math duty and reserved for currency (ending the dollar-sign hazard for good, on both teacher output and eventually user input). Technical path: preprocess \(...\)/\[...\] → remark-math-compatible form (or a dedicated micromark extension), plus a system-prompt update. The old $/$$ contract dies with this change.
  • Line breaks bug: lesson text loses single line breaks (markdown semantics collapse them — likely fix: remark-breaks, or prompt-level blank-line discipline; verify and fix).
  • Lesson-content formatting: richer, more structured presentation of teaching blocks (headings, callouts, worked examples) — direction noted, specifics TBD.
  • PARKED (long-term): a rudimentary LaTeX editor / live preview in the composer so the learner can send formatted math.

4. Roadmap (dependency-ordered)

  1. Plan-tree tools + session state — structured tools, tree persisted in the chat store, set_current tracking. (Everything else depends on this.)
  2. Bare-bones global graph + home view — live emission from tree tools into a graph store, naive-union merge, home page renders it with the chosen lightweight renderer. This is the "see something appear even from a partial session" milestone.
  3. Phase separation — probe/teach marker, transcript divider, collapsed teach-phase checks.
  4. Right-panel tree view — persistent, current-position highlight.
  5. Background consolidation — merge adjudication, calibration, prose-only edges.
  6. Presentation fixes — LaTeX delimiters, line breaks, mermaid integration.
  7. Later: frontier expansion + what-next queries (new territory / repairs / conversions), spaced repetition on the event ledger, practice exercises, Electron.

5. Open questions

  1. Graph rendering library + layout architecture (research in flight — record decision here when it lands).
  2. What exactly the naive-union v1 shows for overlapping topics across sessions (duplicate nodes acceptable until consolidation? — presumed yes, cosmetic only).
  3. How the probe phase's questions map onto tree nodes when no tree exists yet (probe happens before the plan is written — do probe outcomes attach to a provisional node set, or to the eventual tree retroactively?).
  4. Home-graph v1 interactions beyond pan/zoom (node click → session list? — presumed cheap yes).
  5. Grain mismatch frequency (subsumes-style relations) — per original doc, measured by data, not pre-solved.
  6. Aggregation semantics for understanding (min / mean / two-level) — fit on real data, per original doc.

Amendments to the vault design doc (2025-08-20) — summary

Original Now
Teacher never modified; graph built post-hoc Teacher emits structured data live; background pass consolidates
Updates per completed session Continuous; partial sessions deposit value
Mermaid DAG as the plan artifact Structured tools as source of truth; mermaid only for ad-hoc diagrams
UI deferred, "not important" UI exists (Next.js, v3.4); the graph view is the app's home page
pi as core dependency pi removed; harness is standalone Next.js + Vercel AI SDK