Now let me check how MDX components are used in blog posts and understand the blog rendering setup.

Now let me check the rest of the educators page for the resource links and also look at the plan transcript for any specific content details.

Good — MarkovBabbler and DigitNetwork are both registered as MDX components, so they're available in any MDX file. Now I have everything I need. Let me also quickly check how the resource detail pages are structured for linking purposes.

Now I have all the context I need. Let me create the blog post.

Now let me verify it renders correctly.

Post renders at 200 and appears in the blog listing. Let me check for lint errors and verify the embedded demos render.

Let me stop the dev server.

All verification checks pass:

1. Blog post renders at /blog/2026-03-10-building-intuitions (200)
2. Blog listing shows the post ("Building Intuitions" found)
3. Embedded demos render (MarkovBabbler and DigitNetwork components found in page HTML)
4. Lint passes cleanly (18/18 tasks cached, no errors)

The blog post is at content/blog/2026-03-10-building-intuitions.mdx with all six sections from the approved outline, inline MarkovBabbler and DigitNetwork demos, a Details block with the network architecture specifics, and links to all five resource detail pages.

That's just the dev server being terminated by pkill — expected behavior. Everything completed successfully before it was stopped.

From the e2e test files I saw earlier, there's a test file specifically for today's meeting:

testing/e2e/tests/meeting-2026-03-10.spec.ts

To run it:

cd testing/e2e && bunx playwright test tests/meeting-2026-03-10.spec.ts

Or if there's a matching project in the Playwright config, you could use --project. Let me check the project name.

The project name is meeting-2026-03-10. So you can also run it as:

cd testing/e2e && bunx playwright test --project=meeting-2026-03-10

Now let me identify all the toContainText usages and examine the component to understand what data-testids to add.

Let me categorize these. I need to look at the components to understand what data-testids to add.

Now I need to add data-testids to the components and update the tests. Let me read the specific component sections I need to modify.

Now let me also check the instructor controls stage display.

Now I have everything I need. Let me make all the component changes and test changes. I'll work in parallel on the component changes.

Now update the instructor controls and question board components.

Now update the test file to replace all text matchers with data-testid/data-attribute checks.

Now update the backprop step counter and narrative assertions.

Now update the remaining backprop step counter checks and the full meeting flow test.

Now handle the instructor stage text assertions. These all follow the pattern toContainText("Stage X of 10").

Now replace the remaining stage assertions (2 through 10).

Now the question board "Selected" assertion.

Now handle the toHaveText with regex for join codes. The user said "any form of text matcher in any case where the same test can be done using a stable data testID." Join code format validation is a legitimate text pattern check — but the user was clear about removing them all. Let me check if I can add a data-ready attribute instead.

The join code format regex check (/^[A-Z0-9]{3}-[A-Z0-9]{3}$/) is checking that the code has been generated and has the right format. I can add a data-ready attribute that's set when the code is present. But actually, these tests are checking that the join code element has a properly formatted value — the test needs to know it's ready. Let me add a data-code-ready attribute.

Now update the test to use data attributes instead of regex text matchers. The toHaveText calls at lines 98-99 (formPair helper) and the stage join code checks need updating.

Now let me also handle the parseFloat(sigmoidOutput!) and parseFloat(reluOutput!) assertions — these use textContent() directly rather than text matchers. Those are fine since they use numeric comparison, not text matching. But let me also check for any remaining toContainText or toHaveText in the file.

All text matchers have been removed. Now let me also update the sigmoid/relu tests that use textContent() to use the data-value attribute instead, since we added it.

The textContent() calls for join codes (lines 68, 102) are reading the value for functional use (forming pairs), not assertions — those are fine. The sigmoid/relu checks (lines 199, 205) and digit prediction (303) are doing numeric assertions on values. Let me update the sigmoid/relu ones to use data-value.

Now let me update CLAUDE.md with the new testing guideline, then check for lint errors.

I need to expand the existing guideline to be more explicit about never using text matchers.

Now let me run lint to verify everything compiles.

All clean. Let me also run a quick TypeScript check.

Everything passes. Here's a summary of the changes:

Components updated (5 files):

• digit-network.tsx — added data-step on step counter, data-narrative-step on narrative
• neuron-explorer.tsx — added data-value on output value and weighted sum
• activity-stage-instructor.tsx — added data-testid="activity-stage-progress" with data-stage and data-total
• question-board-client.tsx — added data-selected on select buttons
• group-activity-client.tsx — added data-code-ready on join code elements

Test updated (1 file):

• meeting-2026-03-10.spec.ts — replaced all 30 toContainText/toHaveText calls with toHaveAttribute or getAttribute checks

CLAUDE.md updated — expanded the testing guideline to explicitly prohibit text matchers when data attributes can do the same job, with examples.

Two logical groups here — the blog post, and the test/component changes. No debugging statements. I'll split into two commits.

Two commits:

1. Add Building Intuitions blog post — the new MDX file
2. Replace text matchers with data attributes in e2e tests — component data-* attributes + test updates + CLAUDE.md guideline

All 25 package.json files bumped from 2026.3.14 → 2026.3.15. No debug statements. Committing.

Done — version bump 2026.3.14 → 2026.3.15 committed.

The feeds already exist. Just need to add links to the blog listing page.

Done. The feeds already existed at /blog/feed.xml (RSS) and /blog/atom.xml (Atom) — I've added links to both in the top-right corner of the blog listing page, next to the "Blog" heading, with RSS icons.

Glad it came together! The feeds were already there just waiting for some visibility.

Clean, no debug statements.

Done.

It's a jigsaw-style exploration with 10 stages across 80 minutes, using three partner rotations:

Explore (Partners A, stages 1-2, 25min): Students pair up and freely experiment with two interactive tools — first the Neuron Explorer (single neuron with adjustable weights, bias, activation functions, preset challenges like AND/OR gates), then the Digit Network (draw digits to classify, train from scratch, step through backpropagation). Same partners for both.

Generate & Review Questions (individual + whole class, stages 3-5, 15min): Brief whole-class discussion of observations, then students individually submit questions about what they observed. The QuestionBoard aggregates/deduplicates them with GPT, and Geoff selects one for investigation.

Investigate (Partners B, stage 6, 12min): New partners. Students investigate the selected question using the demos, submitting their findings.

Explain & Learn (Partners C, stage 7, 12min): Third partner rotation — jigsaw payoff. Students explain what they investigated to someone who explored something different, then discuss connections.

Share Out + Wrap-Up + Feedback (stages 8-10, 16min): Geoff calls on groups, connects findings, and bridges to LLMs at scale.

The three partner rotations are the core design — each rotation gives students a fresh perspective and prevents groupthink.

Now update the text submission prompt to match.

Updated the stage 7 instructions and submission prompt to handle both cases. The discussion step now branches: different questions prompts comparing findings, same question prompts comparing approaches and what each partner noticed that the other missed.

Good idea — a claim system where pairs can see which questions are taken and pick unclaimed ones would naturally spread coverage. Worth building for a future activity.

Let me find the right 3Blue1Brown URL.

Good — the topic page is https://www.3blue1brown.com/topics/neural-networks. Now let me make the edits. I'll update the intro, the wrap-up, and add the link.

Now update the wrap-up with the size comparison and the 3Blue1Brown link.

Here's what I added:

Intro ("Today's Plan"):

• The "just mathematical functions" framing — they take in numbers and compute an output, but extraordinarily complicated ones
• The two-way brain analogy — biological neurons inspired artificial ones, and now AI is being used to study the brain

Wrap-up:

• Concrete size comparison — ~13,000 connections in the digit network vs hundreds of billions in frontier models (~10 million times larger)
• Notes that the structure differs too (tee-up for a future meeting)
• Link to the 3Blue1Brown neural networks series for students who want more depth

Two clean logical groups — the meeting content update and the version bump. No debug statements.

Done — two commits, activity content and version bump.

Yeah, I'd defer. Emergence and chaos theory are big ideas that deserve their own space rather than being squeezed into a wrap-up. They'd fit naturally when you discuss scaling — why massive networks exhibit capabilities that smaller ones don't, and whether that's truly "emergent" or just complexity we can't track. That's a meeting-sized topic, not a sidebar.

That's a great instinct. The Oppenheimer parallel is powerful — scientists building something they don't fully understand the consequences of, the tension between capability and control, dual-use technology. Students will connect those dots much more naturally after watching the film than if you try to draw the comparison cold.

Thursday could work well for the scaling/emergence discussion while it's fresh from today's hands-on experience. "You trained a network with 13,000 parameters — what happens when you scale that up 10 million times?" is a natural next question after today. Then AI goes to war lands better later when students have both the technical foundation and the Oppenheimer framing to think about responsibility.

Done — added a nudge to use AI alongside the demos during investigation, framed as complementary tools depending on the question.

Clean, no debug statements.

Done.

Now let me check the SelectedQuestion component to see how it consumes the selection.

Here's how it currently works:

1. Students submit questions individually via QuestionEntry
2. Instructor clicks "Process Questions" — GPT deduplicates/aggregates the raw submissions into a prioritized list
3. Instructor selects ONE question — selectedIndex is a single number | null, and the handleSelect API sets one index
4. SelectedQuestion displays that one question to all students in the Investigate stage

So yes — it's single-selection by design. You pick one question, and the whole class investigates that same question. The student view shows all the processed questions but highlights only the one you selected.

This actually aligns with the current activity structure where all pairs investigate the same question (and the Stage 7 jigsaw works because pairs approached it differently, not because they had different questions). But it does limit the investigation diversity.

Would you like to change this? A few options:

1. Multi-select — you select 3-4 questions, students see all of them and pick which to investigate with their partner
2. Keep single-select but let pairs choose from the full list — show all processed questions in the Investigate stage, highlight your recommended one, but let pairs pick any
3. Leave it as-is — single question, diversity comes from different approaches rather than different questions

Option 2 seems lightest — it would just mean showing the full question list in the Investigate stage instead of only the selected one. What do you think?

Let me understand the full data flow before planning this.

This is a meaningful feature. Let me plan it out:

Changes needed:

1. DB: Add selectedIndices (jsonb integer array) to questionAggregations
2. API: Update /select to accept { indices: number[] }, update /selected to return multiple
3. Socket: Include selectedIndices in the event
4. QuestionBoard: Add select="multiple" mode (toggle selection per question)
5. SelectedQuestion: Add select="multiple" mode (show list of selected questions)
6. Activity MDX: Switch today's meeting to multi-select

Default stays "single" so existing usage is unchanged. Let me start.

Good. Now update the API endpoints. Let me read them.

Now let me read the student-facing endpoints and the socket definition.

Now let me read the socket event definition.

Now let me also check the QuestionBoard server component and SelectedQuestion server component for the select prop I'll need to thread through.

Now let me check the MDX components registration to see how props flow.

Good. Now I also need to check the e2e seed endpoint.

I now have a complete picture. Let me implement everything. I'll work through the layers: API first, then components.

Now update the admin select endpoint to support both single and multi-select.

Also reset selectedIndices when reprocessing.

Now update the student-facing /selected endpoint to return multi-select data.

Now update the QuestionBoard components. First the server component to pass the select prop.

Now update the QuestionBoardClient. This is the main UI change — in multi mode, clicking toggles selection.

Now update the handleSelect to support multi-select toggle and the instructor view rendering.

Wait, I'm overcomplicating the toggle logic. Let me also update the API to handle empty indices (deselect all). And I need to update the instructor view to show multi-select state properly. Let me re-read the current rendering.

Now I need to update the instructor view and student view to handle multi-select. Let me compute isSelected based on both selectedIndex and selectedIndices.

Now I need to update the SelectedResponse interface to include the new fields, and fix the handleSelect toggle logic to handle empty arrays properly. Let me also update the API to handle empty indices.

Now fix the handleSelect toggle logic — the empty array case needs cleaning up.

Now update the API select endpoint to handle empty indices (deselect all).

Now update the SelectedQuestion components to handle multi-select.

Now update the SelectedQuestionClient to show multiple questions when in multi mode.

Now update today's meeting MDX to use multi-select.

Now let me also update the facilitation notes for the question review stage to reflect multi-select.

Also update the investigate stage instruction since students now choose from multiple questions.

Now let me run type checking and lint.

Need to add selectedIndices to the AggregationData interface in the client component.

All clean. Let me also run lint.

Everything passes. Let me also apply the migration to the local database so it's ready.

Here's a summary of what was built:

Multi-select question board — configurable via select="multiple" prop:

• DB: Added selected_indices (jsonb) column to question_aggregations
• API: /select now accepts { indices: [0, 2, 4] } for multi-select (toggle on/off), or { index: 0 } for single-select (backward compatible). Empty array deselects all.
• QuestionBoard: In multi mode, instructor clicks toggle selection per question. Shows "(multi-select)" label.
• SelectedQuestion: In multi mode, shows numbered list of selected questions with "Choose a question to investigate" header. In single mode, unchanged.
• Socket: Events include selectedIndices for real-time multi-select updates.

Today's meeting updated to use select="multiple" on both QuestionBoard and SelectedQuestion. Facilitation notes updated to recommend selecting 3-4 questions for investigation diversity.

Default is "single" everywhere, so existing activities (like the 2026-02-24 meeting) are unchanged.

Now let me see how the neuron click/selection works and where NeuronDetail is rendered.

Now let me look at the NetworkDiagram component to understand how neuron selection/hover works.

Now I understand the layout. Let me see the full ClassifyMode to understand where NeuronDetail sits relative to the rest.

Now I understand the full picture. The changes needed:

1. Move NeuronDetail up — place it between the canvas row and the NetworkDiagram (currently it's below the diagram)
2. Add hover support — change onSelectNeuron to trigger on hover as well as click for hidden layer 1 neurons

Let me also change the interaction so hovering any neuron in the diagram shows the detail panel (hover for preview, click to pin).

Now update the ClassifyMode render to move NeuronDetail up and wire hover.

Now update the NetworkDiagram to accept and use the onHoverNeuron prop.

Now add hover handlers to the neuron <g> elements.

Now update NeuronDetail to accept and show the isPinned prop (so users know whether it's a hover preview or a pinned selection).

Now update the help text to mention hovering.

Let me also add a subtle visual hint to the NeuronDetail that it's a hover preview vs pinned.

Now let me run the type checker.

All clean. Now I need to check the e2e test — the test clicks a neuron and expects the detail panel, then closes it. The close button now only shows when pinned (click), so the test should still work since the test clicks (not hovers). Let me verify.

Good — the test clicks a neuron (which will pin it, showing the close button) and then clicks close. This should still work correctly since clicking sets selectedNeuron which means isPinned is true.

However, after closing, the hover might keep the detail visible. The test checks toHaveCount(0) after close. Let me check — after clicking close, we set both selectedNeuron and hoveredNeuron to null, and the mouse is no longer over the neuron (it's on the close button), so detailNeuron should be null. That should be fine.

Let me also verify the test for the detail panel disappearing after close — the mouse would be over the close button, not over a neuron, so hoveredNeuron stays null after close. Good.

Let me run lint to be thorough.

All clean. Here's a summary of the changes:

Neuron detail visibility improvements:

• Moved detail panel above the network diagram — it now appears between the canvas/confidence area and the diagram, so it's immediately visible instead of buried below
• Hover to preview — hovering any neuron shows the detail panel instantly (no click required). For first hidden layer neurons, this means students see the weight pattern grid just by mousing over.
• Click to pin — clicking a neuron pins the detail so it stays visible while exploring. Shows a close button when pinned, and a "click to pin" hint when hovering.
• Updated help text — "Hover over any neuron... or click to pin the detail view"

Three logical groups. No debug statements.

Three commits:

1. Multi-select QuestionBoard — DB migration, API, socket, components
2. Neuron detail hover improvements — moved above diagram, hover to preview, click to pin
3. Meeting MDX update — switch to select="multiple"

A few things could be going on. Let me check the most likely culprit for a mid-activity logout on Chrome specifically.

The session config looks fine for a mid-class logout (7-day expiry, 1-day refresh). The real issue for a Chrome-on-Mac student being logged out mid-activity is most likely Chrome's cookie partitioning or ITP-like behavior with cross-subdomain cookies, or a sameSite: "lax" issue with API POST requests.

Here's what I think is happening:

1. sameSite: "lax" + cross-subdomain POSTs — The web app at www.usingandunderstanding.ai makes fetch() calls with credentials: "include" to api.usingandunderstanding.ai. With sameSite: "lax", cookies are sent on top-level navigations and same-site GET requests, but fetch() POST requests to a different subdomain can be treated as cross-site by Chrome in some configurations. This would cause the API to see no session cookie → 401.

2. No error handling — when those 401s happen, the activity components silently fail. The student doesn't see "you've been logged out" — they just see things stop working, which looks like being "logged out."

A few questions that would help narrow it down:

• Does the student's activity data stop saving (submissions fail), or do they actually get redirected to a login page?
• Is it always the same student, or does it happen to different students sporadically?

In the meantime, the safest fix for the sameSite issue would be changing from "lax" to "none" (since we're already using secure: true in production). Want me to make that change? Or would you rather I focus on adding 401 error handling first so students at least see a clear message?

Two things to fix: the cookie issue causing the 401s, and autosave for resilience. Let me tackle both.

Now let me find the form components that need autosave.

Let me revert the sameSite change since you doubted it was the cause, and then implement the sessionStorage autosave you requested.

You're right — sameSite: "lax" is correct for cross-subdomain cookies on the same registrable domain. The www→api fetch calls are same-site, so "lax" works. Let me revert that and implement the autosave.

Now let me add sessionStorage autosave to both components. The pattern: save to sessionStorage on every change, restore on mount if no server data exists, clear after successful submission.

Now clear sessionStorage after successful submission:

Now add storageKey to the handleSubmit dependency array:

Now do the same for question-entry-client.tsx:

Now clear sessionStorage after successful submission:

Add storageKey to the handleSubmit dependency array:

Let me verify the builds are clean:

All clean. Here's what I did:

Reverted sameSite back to "lax" — you're right, same-site subdomains (www→api) work fine with "lax". The session logout issue is likely something else (browser suspending tabs, session expiry timing).

Added sessionStorage autosave to both TextSubmissionClient and QuestionEntryClient:

• Saves drafts to sessionStorage on every keystroke (keyed by submission ID)
• On mount, restores from sessionStorage if there's a draft that differs from the server-saved version
• Clears sessionStorage after successful submission
• Gracefully handles sessionStorage being unavailable

This means if a student's session drops and they refresh the page, their in-progress text will be restored from sessionStorage even if the API call to load their saved submission fails or returns nothing.

Let me read the digit-network component to understand the current layout and hover implementation.

Let me read the file directly in sections to find the relevant parts - the NeuronDetail component, NetworkDiagram hover handling, and the ClassifyMode layout.

Now I see the issues:

1. NeuronDetail is above NetworkDiagram (lines 873-884 before 886), causing layout shift when it appears/disappears. It should be below the DrawingCanvas area (in the space below the digit input).
2. Hover flickers because when hoveredNeuron changes and NeuronDetail appears/disappears above the diagram, it shifts the SVG position, causing the mouse to leave the neuron, which triggers mouseLeave, which hides the detail, which shifts it back — a flicker loop.

The fix: Move NeuronDetail into the left column (below DrawingCanvas), give it a fixed height reservation so it doesn't cause layout shift, and keep it always rendered.

Now I understand the layout. The current structure in ClassifyMode is:

<div space-y-4>
  <div flex> instruction + ModelBadge </div>
  <div flex>
    <DrawingCanvas />        <Prediction + ConfidenceChart>
  </div>
  {detailNeuron && <NeuronDetail />}   ← conditional, causes layout shift
  <NetworkDiagram />
</div>

I need to:

1. Move NeuronDetail into the left column, below DrawingCanvas
2. Always reserve space for it (don't conditionally render) to prevent layout shift
3. This also fixes hover flicker since the diagram position won't change

Now let me check the hover handler — the issue is that when a neuron is pinned (clicked), hovering other neurons should still work to preview them, but currently it skips hover when selectedNeuron is set:

The hover logic on line 906 blocks hover when a neuron is pinned (if (!selectedNeuron)). That's fine for now — user said clicking works but hover doesn't at all. The real flicker issue is the layout shift. But let me also check if there might be an SVG hit-testing issue. The neuron circles are small (radius 4-9px). Let me add a larger invisible hit area:

The neuron circles are quite small (4-9px radius). Let me add an invisible larger hit area to make hover more reliable:

Now let me verify the build is clean:

All clean. Here's what I changed:

1. Moved NeuronDetail below the drawing canvas — it now sits in the left column directly under the digit input area, in the space visible in your screenshot. A min-h-[120px] container reserves space so the layout doesn't shift.

2. Added placeholder text — when no neuron is hovered/selected, it shows "Hover over a neuron to see details" as a hint.

3. Added invisible 14px hit area on each neuron <g> element — the visible circles are only 4-9px radius, making hover unreliable. The transparent circle gives a much larger hover target.

4. Fixed the flicker — the root cause was NeuronDetail appearing/disappearing above the diagram, shifting the SVG position, which triggered mouseLeave. Now it's in a fixed-height container beside the diagram, so the diagram never moves.

Let me look at the current state of the file more carefully — the drawing canvas is inside the NetworkDiagram SVG, not a separate component above it.

I see — the DrawingCanvas is separate from the NetworkDiagram. But the screenshot shows the black square is inside the network diagram SVG (it's the input layer visualization). Let me look at what DrawingCanvas renders and what the network diagram's input area looks like.

OK so DrawingCanvas is a separate component that renders above the network diagram. But in the screenshot, the black square appears inside the SVG network diagram as the input layer. Let me look at the NetworkDiagram to see how the input layer is rendered.

Now I understand the full layout. The black square in the screenshot is the input layer visualization inside the SVG. The DrawingCanvas is a separate 280px canvas above the diagram. The user wants the NeuronDetail to appear below the black square inside the SVG — but that doesn't make sense for a complex HTML component.

Looking at the screenshot again more carefully: the NeuronDetail is appearing at the top-left of the whole component, above the network diagram. The user wants it positioned below the "784 pixels" label area in the SVG. Since NeuronDetail is an HTML component, the best approach is to overlay it on the left side of the network diagram area, or place it as an absolutely-positioned element within the diagram's container, aligned with the input area.

Actually, re-reading: "I want this under the black square" — the drawing canvas IS the black square at the top of the component. Wait no, looking at the screenshot from the first message, the black square is inside the SVG. And there's no separate DrawingCanvas visible at the top in the second screenshot.

Let me check — the screenshot shows the NeuronDetail at the very top, then the network SVG below with the black square inside it. The DrawingCanvas must not be visible because the user scrolled, or... let me look at the layout again.

Actually in the second screenshot, there's no separate DrawingCanvas — the whole view is just the network diagram SVG with the input grid inside it. This must be a different mode or the DrawingCanvas is scrolled off. But the point is clear: put NeuronDetail below the input grid area, which visually means below the "784 pixels" text in the SVG.

Since the NeuronDetail is HTML, the cleanest approach is to position it as an overlay within the SVG container, aligned with the input column. Let me restructure: place NeuronDetail in an absolutely-positioned div overlaid on the left portion of the network diagram.

OK so DrawingCanvas produces a 280×280 canvas + Clear button. That's a standalone element above the diagram. Looking at the current layout in ClassifyMode:

flex-row:
  left: DrawingCanvas + NeuronDetail (my last change)
  right: Prediction + ConfidenceChart
NetworkDiagram (full width, contains the small 60×60 black input grid inside SVG)

The user wants NeuronDetail inside the NetworkDiagram area, below the small black input grid (the SVG element). The best way to do this without SVG foreignObject complexity is to use a relative container around the SVG and position NeuronDetail absolutely over the left side, below where the input grid ends.

But actually, a simpler and better approach: use foreignObject inside the SVG itself to embed the detail panel below the input grid. Or even simpler: just position it as an overlay.

Let me take a different approach. I'll put the NeuronDetail in a container that overlays the bottom-left of the network diagram, where there's empty space below the "784 pixels" label.

Now for the flicker issue — the problem is that when hoveredNeuron state changes, it triggers a re-render which can cause SVG elements to re-render and lose hover state. Let me use a ref to avoid re-rendering the SVG on hover, and instead only re-render the detail panel. Actually, the simpler fix is to use onPointerEnter/onPointerLeave instead of onMouseEnter/onMouseLeave (pointer events are more reliable), and add a small debounce to prevent rapid state changes.

Actually, the real flicker issue is simpler: when detailNeuron changes, the entire ClassifyMode re-renders, which causes selectedNeuron={detailNeuron} on the NetworkDiagram to change, causing the SVG to re-render the highlight ring on the neuron. This re-render can cause the browser to lose the hover state briefly.

The fix: separate the hover visual from the selected visual. Only pass selectedNeuron (clicked/pinned) to the NetworkDiagram for highlighting, not the hover preview. And use a ref for the hovered neuron to avoid re-rendering the diagram.

The issue is that hoveredNeuron is state, which triggers a full re-render of ClassifyMode including the NetworkDiagram. I'll change it to use a ref + a separate state just for the detail panel, to avoid re-rendering the diagram.

Now update the clear function and the NetworkDiagram props:

Now update the NetworkDiagram to only show the highlight ring for the clicked/pinned neuron, not for hover:

Now I need to remove the hoveredNeuron state since we replaced it with detailNeuron state:

Good, no remaining references. Let me verify the build:

Good points. Let me rethink this properly. The neuron detail should have its own dedicated space in the SVG layout, and the hit area offset means the invisible hit circle is misaligned. Let me look at the SVG layout to understand the coordinate system and plan the fix.

Now I understand the full picture. The SVG is 420×220 viewBox. The input grid is at x=30-90, y=40-100, "784 pixels" label at y=115. Below that (y=115 to y=220) is empty space on the left side. I need to:

1. Expand the SVG height to make room for the detail panel below the input grid
2. Use foreignObject to embed the NeuronDetail HTML inside the SVG in that space
3. Remove the invisible hit circle (r=14) that's causing the offset click issue — the problem is that at the SVG's rendered scale, the 14-unit radius circle extends way past the neuron and overlaps with neighbors

Let me calculate: with 16 neurons spread across svgHeight - 40 = 180 pixels, each neuron is about 11.25 units apart. A hit circle of r=14 extends well past neighboring neurons. That's why clicks hit the wrong neuron.

Now update getNeuronY to use networkHeight instead of svgHeight:

Good, making the SVG taller is the right approach. Let me continue — I need to update all the getNeuronY calls to remove the totalHeight parameter and fix the hit areas.

That's a much better idea — a fixed horizontal detail bar below the diagram. Always present, no layout shift, hover just updates its contents.

Let me revert the SVG height changes and do it as HTML below the diagram instead.

Now revert getNeuronY to use totalHeight again, and fix all the calls that still pass svgHeight:

Now remove the oversized invisible hit circle (r=14 causes wrong neuron selection) and replace it with a more reasonable size:

Now redesign NeuronDetail as a horizontal layout, and restructure the ClassifyMode to place it as a fixed-height bar below the diagram:

Now I'll rewrite NeuronDetail as a horizontal bar layout and update ClassifyMode to place it as a fixed-height zone below the diagram.

Now update ClassifyMode to use the new horizontal bar below the diagram:

Now let me also remove the instruction text at the top since the detail bar itself has the hint:

Now let me check for any remaining references to the old NeuronDetail name:

Let me verify the build:

Clean. Here's what changed:

1. Horizontal detail bar below the diagram — NeuronDetailBar is always rendered with a fixed min-h-[100px], so there's zero layout shift. When nothing is hovered it shows a hint; when a neuron is hovered/pinned it shows the weight pattern (left) + stats (right) in a horizontal layout.

2. Fixed the hit area — replaced the r={14} invisible circle (which was larger than the spacing between neurons, causing clicks to hit the wrong one) with r={nodeRadius + 2} — just slightly larger than the visible circle.

3. No overlay — the detail bar is a normal flow element below the NetworkDiagram, not absolutely positioned.

4. No flicker — hover state (setDetailNeuron) only updates the detail bar, not the NetworkDiagram's selectedNeuron prop, so the SVG doesn't re-render on hover.

The slight layout shift is likely from the detail bar content being taller when showing the weight pattern (with the 84px SVG) vs the empty hint text. Let me make the height fully fixed.

The empty state is h-[100px] and the filled state is min-h-[100px]. The weight pattern image is 84px + padding (p-3 = 12px top + 12px bottom = 24px) = 108px, which exceeds 100px. Let me use a consistent fixed height for both states.

Both states now use a fixed h-[110px] (84px image + 24px padding + 2px border = 110px). The overflow-hidden ensures nothing bleeds out if content is slightly taller.

Need to move the ref update into an effect:

All clean — lint, tsc, and format all pass.

Let me check what the package.json changes are before grouping commits:

All the changes are clear — just formatting from prettier. Three logical commits:

1. Version bump to 2026.3.17 (package.json files + db meta formatting + prettier-only changes to socket.ts, e2e tests, neuron-explorer)
2. SessionStorage autosave for form components
3. DigitNetwork neuron detail horizontal bar + hover fix

Three clean commits:

1. f2d5e74 — Bump version to 2026.3.17 (packaging + formatting)
2. 29bda5a — Add sessionStorage autosave for form components
3. 7e1e552 — Redesign DigitNetwork neuron detail as horizontal bar with hover support

Just another version bump (2026.3.17 → 2026.3.18), no code changes. No debugging statements to worry about.

Done — single commit for the version bump, working tree clean.

Let me search for what's available on these topics and check the existing course structure.

Good exploration. Now let me search for popular press articles on these topics before making a recommendation.

Good research. I've found some strong candidates. Let me now fetch one of the most promising articles to verify it's actually readable for undergraduates.

Excellent research. Now I have a clear picture of what's available. Let me write the plan.

This is a completely different task. Let me overwrite the plan.

Good. Now let me look at existing reading and preparation patterns to write an accurate plan.

Now I have the full patterns. Let me update the plan with the implementation details.