Owner's first live mic test (2026-09-17) drove four changes:
- ONE primary transcription input at all times: while a quiz/ask
question waits, finals land in its field (text mode → 'Your answer',
select modes → 'Your thinking') via a module-level claim registry
(useDictationTarget in dictation.tsx); the composer is the fallback.
Esc in a question field also stops dictation (threaded through
DockOverlay → QuestionDock).
- No interim results: live words were distracting and shifted the meter.
Params now match the pi dictate extension exactly (no interim_results,
endpointing=300, no utterance_end_ms); the meter's width stays fixed.
- Optimistic meter: the click enters the meter view immediately (Stop
pill + meter within one frame, verified at 150ms in the dev shell);
token mint and mic acquisition run concurrently behind it.
- Wide idle button: the stats-bar middle is one full-width affordance —
a quiet bordered 'Dictate' button when idle (failure text replaces the
label), Stop pill + fixed meter while live.
Live-verified in the Electron dev shell: wide button renders on home
(167px) and chat (358px), meter + Stop appear at 150ms after click,
flat 2px bars in silence, clean return to 'Dictate' on stop.
Two live-verified Deepgram facts from the first real mic-test round:
- /v1/auth/grant returns { access_token }, not { token } — the route now
parses the right field.
- Minted JWTs authenticate over the WebSocket via the "bearer"
subprotocol; ["token", jwt] is rejected at the handshake (token is
for raw API keys only, as in the pi dictate extension).
Also documents the env-precedence gotcha in docs/research/stt.md: a
DEEPGRAM_API_KEY exported in the shell (e.g. .zshrc) silently beats
.env.local in next dev and the desktop authEnv() seam.
The extraction pipeline stops re-reading whole sessions: coverage is a
per-chat covered-fingerprint ledger at MESSAGE granularity (tool call and
result never separated — they share a message; quiz events not special —
they ride re-opened messages normally), uncovered content is derived at
read time (never dual-tracked), the trigger becomes uncovered tokens >= a
chunk budget (fixing quiz-less sessions that never extract), and runs
checkpoint coverage incrementally per merged batch — abort/error loses
at most one in-flight batch. Manual extract-the-rest falls out of the
diff. Pointer line under vision.md 'Construction'.
The converged variant read as two arrows feeding one point; the two-
complete-arrows variant as two arrows next to each other, not coherent.
Owner withdrew the double-shaft idea entirely (2026-09-15); dashed was
already rejected 2026-09-14. Both relation types draw the same plain
single arrow again.
Kept: CanvasEdge.type plumbing from the snapshot (the next
differentiator will need it) and the ArrowGeom named type. Removed:
followsEdgeGeometry, the gap constants, the zoom-drift edge-path
rebuild (edges are back to a single loop in buildGeometry), the ⟹
legend entry, and the glyph tests. Vision doc records the withdrawal
and keeps the still-valid constraints.
Gates: tsc, 429/429 tests, lint, build. Live: canvas coverage 0.477,
no console errors, no legend remnants.
Owner rejected the first cut: two tails converging on one shared head
reads as two arrows feeding a single point, not as parallel strokes.
- followsEdgeGeometry now returns two COMPLETE regular arrows (own shaft
+ own head each), translated ±half-gap along the edge normal —
parallel shafts AND parallel heads, nothing converges. Offset shafts
never clip the source disc; offset tips land a hair outside the target
disc edge (accepted price of parallel heads).
- Gap floors: screen-anchored 3x edgeWidth (dominates at fit/zoomed-out,
unchanged look) OR head-anchored 1.2x arrowLen (world) — without the
head floor, the world-scaled heads merge into one blob at deep zoom
(measured: one 10px band at 5x). max() keeps >= 0.4 arrowLen of clear
space between the heads past the ~1.5x crossover.
- Vision doc revised (2026-09-15) to record the rejection.
Live-verified at 5x fit zoom: two shafts (11.5px gap = widened floor),
two separate ~8px-base heads with clear space between. At fit: 3px gap,
two heads, unchanged. Gates: tsc, 435/435 tests, lint, build.
Four research passes (two library fact-checkers, two prior-art explorers)
with all claims verified against shipped package code (npm tarballs of
sigma@3.0.3 and @sigma/layer-webgl@3.0.0), the sigma.js storybook source,
and primary docs. Nothing implemented yet — this is the decision document.
Headline verified facts:
- sigma v3.0.3 ships a PUBLIC createCanvas/createLayer API; our DOM
injection was improvising a worse version of it. Sigma's own
cluster-label storybook demonstrates our exact minimal-fix pattern
(custom layer + afterRender + graphToViewport).
- @sigma/layer-webgl contours render METABALL fields, not hull polygons;
no dashed strokes; one WebGL context per community (~16 browser cap).
Our visual is not achievable with shipped sigma layer programs.
- Nobody in the graph-tool world ships hull regions (Gephi, Gephi Lite,
Obsidian: node coloring only). Aesthetic references: ggforce
geom_mark_hull, Bostock's thick-stroke hull trick, Excalidraw frames.
- Canvas 2D at 338→low-thousands of elements is comfortably within
demonstrated 60fps territory; the cost driver is repaint count x
pixel area, not element count.
- Cluster-first layout: two-level pattern (quotient anchors -> per-cluster
layout -> compose) is well-trodden; LinLog FA2 is the one-afternoon A/B
candidate; no turnkey JS package composes it (~150 lines of glue).
Options scored: sigma + public 2D canvas layer (7/10, ~1d minimal fix),
hand-rolled d3-zoom + single Canvas 2D (8/10, recommended target),
PixiJS v8 (7/10). Full matrix, facts-not-to-rely-on list, and open items
in the document.
Two custom canvas layers around sigma's own stack (DOM order: hulls
behind everything; region labels above nodes, below node labels).
Per cluster (vision section 1): convex hull (monotone chain) of member
viewport positions, offset outward 14px, rounded corners, a blurred
low-opacity fill (ctx.filter, graceful degrade to flat fill) plus a
dashed boundary stroke, and the LLM label at the centroid. Stable hue
per cluster id (content hash) — a region keeps its color across
reshuffles because the id only changes when the members do.
Geometry is a pure function of positions at draw time: every
afterRender re-derives hulls through the current camera, so pan/zoom/
relayout can never invalidate it (the boundary decision pays off: no
stored geometry, nothing to recompute after a future physics change).
The inverse gate: the cluster label layer's opacity is the exact
complement of the node-label layer's over the fade span of THE zoom
control (labelZoom, default 0.5x) — the two label systems never
coexist.
Live-verified in the browser: hulls painting behind edges; region
labels above nodes; zoom-in crossfades cluster 1 -> 0 as node labels
0 -> 1 (0.176 + 0.824 mid-fade); zoom-out restores; hull pixel count
changes with zoom (geometry follows the camera); zero console errors;
layers removed on renderer teardown. 372/372 tests, typecheck, lint,
build green.
Also named the real graph: one 11.5s labeler call minted all 32
region labels for the 338-node notes graph (Relational Databases & SQL,
Differential Forms, Sales as Uncertainty Reduction, ...).
The label-visibility zoom threshold (was the LABELS_CAMERA_RATIO=1
constant) becomes the fourth persisted setting: labels appear when the
camera ratio is at/below it (1x = fit zoom; slider 0.5x-4x, shown with
an x suffix). Deliberately THE single zoom knob per the cluster design
(vision section 1): cluster labels will fade in over the same span as
node labels fade out, gated inversely on this same setting.
Live-verified: at a zoomed-out camera (labels previously hidden),
raising the threshold to 4x rebuilds and re-shows labels without any
camera movement; resetting restores the fade. 355/355 tests,
typecheck, lint clean.
Three sliders behind a gear in the search panel (user-decided
2026-09-13), persisted per browser in localStorage with clamped
sanitizing on load. Default node size dropped 8 → 6 for dense graphs.
Mechanics: the mount effect is split — the data effect builds the
graphology graph + one frozen forceAtlas2 pass per snapshot; the render
effect mounts sigma and re-runs on settings change only. Sizes are
stamped onto the same graph instance (layout never recomputed), and the
arrowhead program is constructed per rebuild with ratios solved from
the settings (head px = thickness × lengthToThicknessRatio × 2; wideness
keeps the stock 0.8 shape). The camera position carries across rebuilds
via a ref, so a slider tweak never re-fits or re-lays-out the view;
useDeferredValue smooths slider drags.
Live-verified in the browser: sliders persist to localStorage, the
renderer rebuilds with zero console errors, hover/picking survives the
rebuild, and a zoomed-out camera stays zoomed out across a settings
change (labels-gate opacity as the observable). 355/355 tests,
typecheck, lint, build green.
The same extractor→auditor→merger pipeline now runs over raw personal
notes in arbitrary formats (vision §1, DECIDED 2026-09-13):
- NotesSource records (data/graph/sources.json, deterministic id from
path hash → idempotent re-imports) play the chatId role in mappings,
checkpoints, and observation events; usage lands on the source record
(appendSourceUsage, idempotent per startedAt, kept across upserts).
- mergeFindings is chat-store-free: callers pass MergeSource
{messages, foldedAt} — sessions pass the chat record, notes pass
messages:null (no quiz-event rebuild; a deterministic rebuild needs
structured quiz tool parts).
- Second extractor prompt (NOTES_EXTRACTOR_INSTRUCTIONS) for general-
purpose extraction; understanding judges the AUTHOR's grasp. Auditor
wording input-agnostic. extract/audit share one generic runSubmitAgent.
- graphSnapshot.fileSources (srcId→filePath); notes sources render as
static path entries in the detail card (FileTextIcon, never a link).
- One shared pipeline instance (exported from chat-handler): same
single-flight registry, live status chips (label = file path), usage
accounting, and true abort for both front doors.
- Transport: POST /api/graph/import (multipart, 3-wide worker pool) +
Import notes… button in the graph view; scripts/import-notes.ts for
batch runs (concurrency 4).
- real-data-extraction/ gitignored (raw import sources never committed).
355/355 tests; typecheck, lint, build green.
Community detection as the graph's at-a-glance structure: Louvain on
graphology, seeded; structure-based (never layout-based); entirely
inferred from the graph, entirely separate from extraction; size-
gated (>= ~3 nodes); named by one cheap cached LLM call per new/changed
cluster.
Labeling persistence — the core-survival rule (user-decided): each
append-only labeling record stores the label + the member set it was
produced with (the core); a recomputed community keeps its label
while >= half its members are from that core, relabels under half
(new record appended, old records stay as history); single successor on
splits/merges; color keys to the labeling record.
Rendering: dashed hull + blurred low-opacity fill behind everything,
per-cluster stable hue, cluster labels inverse-gated against the node
label span (domain view zoomed out / proposition view zoomed in);
boundary geometry computed at draw time (pure function of member
positions) so future physics never invalidates it; inter-cluster edges
stay visible (meaningful bridges).
Multi-scale clusters (hierarchical Louvain dendrogram) deliberately
parked. Open questions: boundary aesthetic/label placement (visual
testing), threshold tuning (synthetic benchmark — now the primary
clustering-quality validation, sparsity being the honest risk).
The Vercel AI SDK survives only as Band D (useChat client + UIMessage
record types); @openrouter/ai-sdk-provider is uninstalled.
- src/agent/models.ts: PiEngine {model, streamFn} via createModels +
openrouterProvider subpath; thinkingLevelFor maps config effort none->off
- src/agent/lh-tool.ts: neutral LhTool (zod authoring, optional execute,
clientQuestion flag); toPiTool converts via z.toJSONSchema and re-runs
zod inside execute so refinements ride the error-result retry path
- src/server/pi/record-adapter.ts: UIMessage records -> pi Messages
(dangling tool calls get synthesized interrupted results)
- src/server/pi/ui-stream.ts: SSE bridge emitting AI-SDK-shaped chunks so
the useChat client parses unchanged (continuation id rule, question
tools never emit output, tool-input-error for bad authoring)
- teacher-agent.ts: stateless per-turn pi Agents; shouldStopAfterTurn
stops only when every question-tool call resolved cleanly (errors retry)
- chat-handler.ts: buildAgent(outgoing) factory seam (stateless doctrine);
assertValidUiMessages owns the retired SDK validation gate
- sub-agents via shared runSubagent (pi-run.ts); extraction stages stop
after a clean submit; visual-maker keeps its hand-rolled loop over
direct streamSimple calls; aborted model calls bill no usage
- tests: all model seams ported to pi-ai faux provider (scripted
FauxResponseSteps, agent factories); handleChatRequest second param
is now an agent factory
Gates: tsc, lint, build, 305/305. Live GLM smoke (disposable driver,
deleted): prober streaming + persistence, question seam, turn-2
continuation same message id, per-turn real token usage - ALL PASS.
Data wiped at the pivot (chats/graph/jobs, .gitkeeps kept).
The accept-plan UI lands (docs/probe-teach-split.md §4, formerly the
interim rule): presenting the plan no longer moves the phase — the
learner's ACCEPT does. While the presented plan awaits its verdict, the
composer's send square becomes two stacked buttons (green Accept plan /
red Decline); typed text rides the verdict as his note, Enter keeps
sending plain side questions (phase unmoved), decline asks for a
revision and the buttons stay.
The seam: accept sends a user message carrying a data-plan-accepted
part (PlanAcceptedData in contracts/chat.ts, TeacherUIDataParts
'plan-accepted'); phaseAt3 reads it as the plan→teach event (plan_init
demoted to presentation-only); convertToModelMessages drops data parts,
so the teacher sees only the text. Mid-lesson rewrites need no fresh
verdict — acceptance happens once, at the first presentation.
The teacher's planning prompt now ends the turn at presentation and
waits for the verdict (never teaches into an unaccepted plan).
Gates: tsc clean, 304/304 (phases tests rewritten to the acceptance
seam incl. decline/side-question/failed-init cases; composer verdict
render tests), lint, build. Live GLM smoke ALL PASS: phase pinned at
'plan' after plan_init, presentation turn carried NO check, accept
click flipped the summary to 'teach', then tagged checks moved the map
(current=rates, visited=composite); zero console errors.
Diagnosis (2026-09-11 user testing, minimal-effort GLM): sessions stuck on
'plan' forever. Two causes: (1) the three-phase view read the stored tree's
currentNodeId, which nothing ever writes post author-once (2026-09-03) — a
structural dead seam; (2) the teacher stochastically left quiz.nodeId
untagged, and done-by-quiz-result semantics would have falsely completed
nodes anyway.
The redesign (docs/probe-teach-split.md) abolishes derived occupancy in
favor of explicit events:
- Two agents over one transcript: createProberAgent (quiz without a
nodeId field, ask, probe_done) and createTeacherAgent (full toolset,
plan_init onward). The chat-handler construction branch keys on a
probe_done part in the transcript. MODELS.prober added.
- probe_done: server-side seam tool — carries the learner assessment
(strands + free-form edge read), refuses while a question is open or
the probe is already concluded, and queues a handoff steer through the
generalized wake pipeline (steers now dedupe by id, not jobId; job
finalization only for job steers). The teacher auto-wakes and authors
the plan; the learner sees the assessment via the probe-done card.
- phases: probe ends at a concluded probe_done, plan ends at a
successful plan_init — strictly sequential, no skipping, no legacy
compatibility (data wiped at the pivot per doctrine).
- Plan map = position, not completion: derivePlanStatuses reads only
tagged quiz CALLS (state/outcome feed nothing); current = latest
tagged node with consecutive duplicates collapsed, visited = earlier
distinct stays (a revisit stays in both — current wins at render).
PlanTree is structure-only; currentNodeId/doneNodeIds and the dead
mutation helpers are gone. No fallback current.
- Prompts split per agent (prompts/prober/, prompts/teacher/ over the
trimmed shared base); graph-context injection removed entirely
(shelved, docs/probe-teach-split.md §5); knowledge-graph context no
longer reaches either agent.
- Plan blocks are full-only snapshots at plan_init (neighborhood
machinery retired; the persistent DAG window is the future UI wave);
usage capture unchanged.
Gates: tsc clean, 294/294 tests (phases/plan-tree/plan-blocks/question-
tools rewritten to the new semantics; probe-done + handoff-wake tests
added), lint, build. Live GLM smoke PASS: prober concluded with an honest
assessment, teacher auto-woke, authored a 10-node plan with the block
attached, then tagged checks on slope-instinct → secant derived current/
visited exactly as designed; grading honest both ways (driver off-by-one
proved a wrong answer grades false).
The extractor's per-session understanding notes were free-form strings;
the model freely appended em-dash justifications ('shaky — the learner
could state the headline distinction but calls the machinery behind it
foggy'), which overflowed the detail card's session rows and squeezed
the session names.
The note becomes a CLOSED named-word scale — solid / shaky / accepted /
resisted / not yet engaged (DECIDED 2026-09-08, no numbers) — enforced
by the zod enum in propositionSchema: a wrong-shaped note is rejected
at parse time and the agent retries. Justifications are dropped, not
stored (user decision: not necessary). Extractor and auditor
instructions updated to demand exactly one word.
Renderer: the session row keeps the session NAME as the main thing
(flex-1, truncates) and the level chip is bounded (max-w-28,
whitespace-nowrap, truncate) — overflow impossible even for legacy
prose notes in old ledgers.
Vision doc: §1 extractor bullet + event-ledger line updated; state
model line notes the five-class derivation was removed; amendments
table row added.
With real extracted data, full-sentence statements as canvas labels proved
unworkable: 10-line label blocks, illegible overprint clusters, bottom-edge
clipping. Per the user's 2026-09-08 decision:
- GraphNode/ExtractedProposition gain `name` — a very short, glanceable
label (glossary-headword style: "Will to power"), presentational only:
not unique, not identity, never precise. Set at creation; link-appends
never change it (first line defines; labels stay stable across sessions).
- `statement` keeps its full precision and becomes the identity anchor;
the detail card shows it under the name. `description` is dropped.
- Extractor coins the name (freshest session context); auditor carries it
through on create, rewording only clearly unglanceable names; linked
propositions keep the existing node's name.
- Renderer: canvas label = name; search matches name + statement;
detail card = name (bold) + statement (muted).
- Store guard requires name (pre-pivot node lines are skipped as legacy);
vision.md node-schema bullet + amendments table updated (2026-09-08).
The minimal implementation of the 2026-09-02 graph vision (docs/vision.md §1):
- contracts/graph.ts: every node is a TRUE proposition (statement is both
rendering label and identity key; required description; no kind, no name).
Edges are follows (derivable) / supports (grounds without entailing) with
message-granular provenance points {chatId, messageId}. Events reduce to
correct/miss/dont-know plus observation (understanding notes); no taught
events, no misconception kind.
- extraction.ts: extractor is TREE-BLIND (transcript only, no plan tree) and
free-form; auditor sees findings + the current graph, owns faithfulness and
identity (link-or-create verdict per proposition, recorded as linkTo);
transcriptView tags every line with its message id (provenance anchors).
- core/graph.ts merger: applies verdicts deterministically — linkTo appends
a link line (phrasings join aliases, provenance unions; reads merge by id),
absent creates; NO string matching anywhere. Quiz events rebuilt from tool
parts with attribution-only nodeId resolution; understanding notes become
observation events (obs:<sourceId>); mapping lines are the verdict audit
trail and make re-merges idempotent.
- deriveNodeStates: transitional — latest quiz event wins (known/missed/
dont-know, else candidate); taught unreachable until the state-model
ideation lands.
- graph-context.ts + 50-graph-context.md: follows chains, hotspot grouping,
state vocabulary updated for the new event kinds.
- graph-view.tsx: node label is the statement; detail shows statement +
description.
- tests: merger verdicts (link, no-string-match, cross-chat assertions),
tree-blind pipeline end-to-end, follows vocabulary in context tests.
276/276 green.
Records the 2026-09-02 graph philosophy decisions, replacing the
2026-08-22 live-emission construction model (second reversal — back to
post-hoc, now deliberately tree-blind):
- Node theory: every node is a TRUE proposition (no kind field);
statement (minimal, context-relative) + description (required) +
aliases (verbatim phrasings); contradictions coexist — the
surrounding subgraph is the context; misconceptions enter as true
corrections, wrongness lives in the event ledger.
- Edges: follows (derivable) | supports (grounds without entailing);
no scalars, no encoded strength — derived at read time.
- Provenance: message-granular (chat, message) points on nodes and
edges, deep-linkable.
- Construction: free-form extraction fully decoupled from the
session's formalism. Extractor sees ONLY the session transcript
(tree-blind, message ids); auditor sees extractor output + the
global graph (faithfulness net + identity judgment, link-or-create,
aliases as phrasings); merger stays deterministic append-only.
- Event ledger: quiz outcomes deterministic from tool parts; NO
taught events; extractor records per-proposition understanding
notes (named-word scale, no numbers) — treatment TBD.
- Understanding: inferred, never encoded; state model (session-
independent, computed from dependency depth/strength) is pending
ideation — current five-class derivation is transitional.
Also updates: §2 plan tree (session scaffolding only), graph-as-context
(follows-edge subtree, event-derived hotspots), home page (message
provenance, transitional states), roadmap item 5, open questions
#2/#3 resolved, amendments table (+6 rows).
README mermaid + layout + protocol paragraph now describe the merged
protocol: server-executed job tools ack mid-turn, runners steer the
teacher later via the wake pipeline (server/jobs.ts), client adopts
wake turns via turnInFlight and renders steers as artifacts.
architecture.md turn-composition seam 3 rewritten; runner dependency
signature updated (deliver seam).
MODELS in config.ts is now THE single tuning table: model id + OpenRouter
reasoning effort for teacher/researcher/demoBuilder/visualMaker/extractor/
auditor. .env.local is secrets-only (LH_* model vars removed; all sub-agents
previously had NO reasoning setting -> provider-default unbounded thinking,
the extraction token burn). One factory (src/agent/models.ts modelFor) wires
all six call sites; test injection unchanged. EXTRACTION.everyNQuizAnswers
moved to a config literal too. Plus the §5 one-line-per-seam logging in the
extraction pipeline: pipeline start, extractor/auditor start + per-step,
audit kept, merged — previously silent until completion, which made live
runs look like they never fired.
Replaces the pre-pivot v0 scaffold doc (preserved in git history) with
the as-built spec: the five layers and their dependency directions, the
machine-enforced import law (four zones + the two documented-only
rules), ports/adapters and the two composition roots, the extraction
pipeline as sole graph writer (division of trust, merger invariants,
probe-attribution resolution, the v1 trigger seam), the pure read
channel, the turn seams, minimal observability, the testing strata, and
the deferred-with-links list. The doc states it describes the system,
not an intention — it changes with the commit that changes the system.
README reference updated (was: 'pre-pivot v0 scaffold — history only').
- Every session starts with the learner's knowledge graph as base
context (precision probing); selection problem noted: pedagogical
relevance != semantic closeness (structural neighborhood, diagnostic
hotspots, frontier strip); strategies to tune on data.
- Sub-agent architecture: async background workers with live activity
indicators; demo-builder TESTS code headlessly; visual-maker verifies
by looking (port of vault svg-maker); mermaid needs no sub-agent;
researcher tool for fact verification (port of pi web-search/web-fetch
+ interactive-subagents researcher prompt).
- Not-a-chat presentation principle marked LOW PRIORITY per user.
Margin model flaws (user feedback): fragment placement needs unreliable
routing; scattering kills the receipt moment and chronology; session
value is in the moment, revision is rare, HTML export deprioritized.
Evolved model: one chronological spine; learner blocks are intact typed
'interjection' cards; teacher replies as woven Q&A interludes
(quote-then-answer); anchoring is a link overlay (backlinks), margins
demoted to a computed view. Chat-ness dies by type asymmetry, not
relocation.
Asymmetry of artifact: the teacher writes the document (whiteboard), the
learner writes in the margins (voice/floor). Bubbles die; the unit is the
block; chronology yields to tree structure; Q&A becomes document
furniture; the composer becomes a response field. Presentation-layer
change only — the interaction model stays conversational.
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.