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@@ -4,11 +4,13 @@ kongruity employs Large Language Model ("LLM") semantic grouping functionality t
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(To learn more about this topic, see, e.g., [Kozlowski A., Boutyline A., Semantic Structure in Large Language Model Embeddings Aug. 2025, arXiv:2508.10003v1:04 Aug 2025](https://arxiv.org/html/2508.10003v1)).
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In the world of kongruity, these "to dos" are called "sticky notes." kongruity's React/Vite UI views a board of seemingly chaotic "sticky notes". But with one click, they are transformed into manageable, actionable groups, each with a header that explains the group semantic interrelation.
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In kongruity world, "to dos", action items, agile tickets... the myriad artifacts of the creative/engineering process, are "sticky notes."
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The backend is an Express API that serves "sticky note" data and proxies semantic grouping requests to Antrhopic Claude.
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kongruity's React/Vite UI displays a board of seemingly chaotic "sticky notes". But with one click, they are transformed into manageable, actionable groups, each with a header that explains that group's semantic relation.
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Developers may feel free to install other LLM SDKs and alter the syntax at backend/services/clustering.service.js to experiment with any LLM model/platform they prefer.
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The backend is an Express API that serves "sticky note" data and proxies semantic grouping requests to Large Language Models.
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Developers may freeely swap in other LLM SDKs and/or APIs... and alter prompt syntax at backend/services/clustering.service.js to compliement their experimentation with any LLM model/platform they prefer.
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## Prerequisites
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@@ -3,7 +3,7 @@ import { readFile } from 'fs/promises';
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import { clusterNotes } from '../services/clustering.service.js';
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const router = Router();
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const DATA_PATH = '../data/notes.json'
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const DATA_PATH = new URL('../data/notes.json', import.meta.url);
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const loadNotes = async () => {
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const raw = await readFile(DATA_PATH, 'utf-8');
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@@ -15,7 +15,7 @@ router.get('/', async (req, res) => {
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const notes = await loadNotes();
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res.json(notes);
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} catch (err) {
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console.error(`Error loading notes: ${err}`)
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console.error(`Error loading notes: ${err}`);
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res.status(500).json({ error: 'Failed to load notes' });
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}
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});
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@@ -26,8 +26,8 @@ router.post('/cluster', async (req, res) => {
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const clusters = await clusterNotes(notes);
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res.json(clusters);
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} catch (err) {
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console.error(`Clustering failed: ${err}` )
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res.status(500).json({ error: `Clustering failed: ${err}` });
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console.error(`Clustering failed: ${err}`);
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res.status(500).json({ error: 'Clustering failed' });
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}
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});
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@@ -40,6 +40,15 @@ export const clusterNotes = async (notes) => {
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],
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});
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const raw = response.content[0].text;
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return JSON.parse(raw);
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const textBlock = response?.content?.[0];
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if (!textBlock || textBlock.type !== 'text' || typeof textBlock.text !== 'string') {
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throw new Error('Unexpected response from LLM API: no text content returned');
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}
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try {
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return JSON.parse(textBlock.text);
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} catch {
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throw new Error('LLM API returned non-JSON response');
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}
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};
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@@ -35,7 +35,7 @@ describe('clusterNotes service', () => {
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it('should call Anthropic messages.create with the correct model', async () => {
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createMock.mockResolvedValue({
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content: [{ text: JSON.stringify(MOCK_CLUSTERS) }],
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content: [{ type: 'text', text: JSON.stringify(MOCK_CLUSTERS) }],
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});
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await clusterNotes(MOCK_NOTES);
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@@ -48,7 +48,7 @@ describe('clusterNotes service', () => {
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it('should include all note texts in prompt sent to the LLM API', async () => {
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createMock.mockResolvedValue({
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content: [{ text: JSON.stringify(MOCK_CLUSTERS) }],
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content: [{ type: 'text', text: JSON.stringify(MOCK_CLUSTERS) }],
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});
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await clusterNotes(MOCK_NOTES);
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@@ -62,7 +62,7 @@ describe('clusterNotes service', () => {
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it('should parse and return the clustered JSON from the API response', async () => {
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createMock.mockResolvedValue({
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content: [{ text: JSON.stringify(MOCK_CLUSTERS) }],
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content: [{ type: 'text', text: JSON.stringify(MOCK_CLUSTERS) }],
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});
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const result = await clusterNotes(MOCK_NOTES);
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@@ -72,10 +72,16 @@ describe('clusterNotes service', () => {
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it('should throw error when the API returns non-JSON', async () => {
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createMock.mockResolvedValue({
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content: [{ text: 'An unknown error occured when generting structured response.' }],
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content: [{ type: 'text', text: 'An unknown error occured when generting structured response.' }],
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});
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await expect(clusterNotes(MOCK_NOTES)).rejects.toThrow();
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await expect(clusterNotes(MOCK_NOTES)).rejects.toThrow('non-JSON response');
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});
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it('should throw error when the API response has no text content', async () => {
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createMock.mockResolvedValue({ content: [] });
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await expect(clusterNotes(MOCK_NOTES)).rejects.toThrow('no text content returned');
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});
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it('should throw error when Anthropic API authentication fails', async () => {
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@@ -24,7 +24,7 @@ const Stickies = () => {
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const stickyMap = buildStickyMap();
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const renderStickies = (items: StickyType[]) =>
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items.map((sticky) => <Sticky key={sticky.id} sticky={sticky} />);
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items?.map((sticky) => <Sticky key={sticky.id} sticky={sticky} />);
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return (
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<div className="stickies-container">
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@@ -36,8 +36,8 @@ const Stickies = () => {
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<h3 className="cluster-label">{group.label}</h3>
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<div className="stickies-grid">
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{renderStickies(
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group.noteIds
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.map((id) => stickyMap.get(id))
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group?.noteIds
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.map((id) => stickyMap?.get(id))
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.filter((s): s is StickyType => !!s)
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)}
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</div>
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@@ -5,12 +5,12 @@ import '../styles/home.css'
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const Home = () => {
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return (
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<div>
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<div>
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<Navbar />
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</div>
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<div>
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<Stickies />
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</div>
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</div>
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);
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};
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@@ -1,7 +1,7 @@
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.main-head-box {
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border-radius: 8px;
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border: 1px solid #6dd6f4;
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background-color: rgb(92, 0 91);
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background-color: rgb(92, 0, 91);
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display: flex;
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}
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