{"workflow":{"id":13527,"name":"Summarize AI news from RSS, Reddit and HN with Claude to Discord and Slack","views":442,"recentViews":2,"totalViews":442,"createdAt":"2026-02-19T23:28:15.262Z","description":"**This n8n template builds an automated daily news digest powered by Claude AI.** \n\nIt monitors RSS feeds, Reddit, and Hacker News, extracts full article text, analyzes each piece with AI, and delivers a polished briefing to Discord and Slack.\n\nStop drowning in newsletters -- Claude reads everything and surfaces only what matters, scored and ranked by importance.\n\n**Good to know**\n* Estimated cost is $0.03-0.10 per daily run using Claude Haiku + Sonnet. See [Anthropic pricing](https://www.anthropic.com/pricing) for current rates.\n* Works without a database out of the box. Optionally enable PostgreSQL for article history and cross-day deduplication.\n\n**How it works**\n* Schedule trigger fires daily and fetches articles from 10 configurable sources (RSS, Atom, Reddit JSON, Hacker News API)\n* Articles are deduplicated by URL hash and fuzzy title matching\n* Jina Reader extracts full article text for deeper analysis\n* Claude Haiku scores each article 1-10 for importance, assigns categories, and writes a \"why it matters\" summary\n* Claude Sonnet compiles the top articles into a structured digest with lead story, top stories, quick hits, and trend detection\n* Formatted output is delivered to Discord (rich embeds) and Slack (Block Kit)\n\n**How to use**\n* Add your Anthropic API key as an n8n credential and set your Discord webhook URL in the config node -- that's the minimum to get running\n* Edit the feed list in \"Build feed source list\" to add your own sources\n\n**Requirements**\n* Anthropic API key ([setup guide](https://nxsi.io/guides/claude-api-setup))\n* Discord webhook URL ([setup guide](https://nxsi.io/guides/discord-webhook)) and/or Slack credential\n\n**Customizing this workflow**\n* Swap feed sources for any topic -- finance, gaming, research papers, industry news\n* Adjust topic importance weights to prioritize what you care about\n* Modify the Claude system prompt to change the digest's tone and style","workflow":{"id":"naUjq0csvOzATYan","meta":{"instanceId":"fcc09c267524c7883fb2ea9bebe8d5af97bd1018d108a487ee168526f71cc449","templateCredsSetupCompleted":true},"name":"Summarize RSS feeds into a daily AI news digest with Claude and deliver to Discord","tags":[],"nodes":[{"id":"15d9d02a-f5b2-41c3-a02f-718d31cf3fe4","name":"Initialize run timestamp","type":"n8n-nodes-base.code","position":[1168,784],"parameters":{"jsCode":"var now = new Date();\nvar hex = function() { return Math.floor(Math.random() * 0x10000).toString(16).padStart(4, '0'); };\nvar runId = hex() + hex() + '-' + hex() + '-' + hex() + '-' + hex() + '-' + hex() + hex() + hex();\nreturn [{ json: { runDate: now.toISOString().split('T')[0], startedAt: now.toISOString(), runId: runId } }];"},"typeVersion":2},{"id":"00e58581-a2bb-489d-8064-6c3ff13d6c91","name":"Create run record","type":"n8n-nodes-base.postgres","position":[1456,784],"parameters":{"query":"={{ $(\"⚙️ Configure digest settings\").first().json.use_postgres ? \"INSERT INTO digest_runs (run_date) VALUES ('\" + $json.runDate + \"') RETURNING id, run_date, started_at\" : \"SELECT '\" + $json.runId + \"' AS id, '\" + $json.runDate + \"' AS run_date, NOW() AS started_at\" }}","options":{},"operation":"executeQuery"},"credentials":{"postgres":{"id":"032psGVSbEPse0XO","name":"nxsi-postgres"}},"typeVersion":2.5,"alwaysOutputData":true},{"id":"b59ce09a-69aa-4468-afb9-e00b66510ab1","name":"Build feed source list","type":"n8n-nodes-base.code","position":[1728,784],"parameters":{"jsCode":"var items = $input.all();\nvar runId = items[0].json.id;\nvar feeds = [\n { url: 'https://hn.algolia.com/api/v1/search_by_date?tags=story&query=AI+LLM+GPT+Claude&numericFilters=points>20', name: 'Hacker News — AI', category: 'ai-models', feedType: 'hn_api' },\n { url: 'https://techcrunch.com/category/artificial-intelligence/feed/', name: 'TechCrunch AI', category: 'ai-tools', feedType: 'rss' },\n { url: 'https://www.theverge.com/rss/ai-artificial-intelligence/index.xml', name: 'The Verge AI', category: 'ai-research', feedType: 'rss' },\n { url: 'https://feeds.arstechnica.com/arstechnica/index', name: 'Ars Technica', category: 'tech-general', feedType: 'rss' },\n { url: 'https://simonwillison.net/atom/everything/', name: 'Simon Willison', category: 'ai-tools', feedType: 'atom' },\n { url: 'https://www.technologyreview.com/feed/', name: 'MIT Technology Review', category: 'ai-research', feedType: 'rss' },\n { url: 'https://www.reddit.com/r/LocalLLaMA/.json?limit=25&sort=hot', name: 'r/LocalLLaMA', category: 'ai-models', feedType: 'reddit' },\n { url: 'https://www.reddit.com/r/selfhosted/.json?limit=25&sort=hot', name: 'r/selfhosted', category: 'open-source', feedType: 'reddit' },\n { url: 'https://www.anthropic.com/rss.xml', name: 'Anthropic Blog', category: 'ai-models', feedType: 'rss' },\n { url: 'https://openai.com/blog/rss.xml', name: 'OpenAI Blog', category: 'ai-models', feedType: 'rss' }\n];\nvar result = [];\nfor (var i = 0; i < feeds.length; i++) {\n feeds[i].runId = runId;\n result.push({ json: feeds[i] });\n}\nreturn result;"},"typeVersion":2},{"id":"b757855c-1658-41dd-b7ea-fc741ca2de47","name":"Fetch feed content","type":"n8n-nodes-base.httpRequest","onError":"continueRegularOutput","position":[2000,784],"parameters":{"url":"={{ $json.url }}","options":{"timeout":15000,"response":{"response":{"responseFormat":"text"}}},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"User-Agent","value":"AI-News-Digest/1.0"}]}},"typeVersion":4.2},{"id":"d19d6bfb-14ff-4906-8b23-74e7e79dd3ff","name":"Parse articles from feeds","type":"n8n-nodes-base.code","position":[2288,784],"parameters":{"jsCode":"var httpResults = $input.all();\nvar feedMeta = $('Build feed source list').all();\nvar articles = [];\nvar now = Date.now();\nvar lookbackHours = $('⚙️ Configure digest settings').first().json.feed_lookback_hours || 24;\nvar oneDayAgo = now - (lookbackHours * 60 * 60 * 1000);\nvar errors = [];\nvar runId = feedMeta[0].json.runId;\n\nfor (var i = 0; i < httpResults.length; i++) {\n var response = httpResults[i].json;\n var feed = feedMeta[i].json;\n var feedName = feed.name;\n var feedCategory = feed.category;\n var feedType = feed.feedType;\n\n try {\n var body = '';\n if (typeof response === 'string') {\n body = response;\n } else if (response.data && typeof response.data === 'string') {\n body = response.data;\n } else {\n body = JSON.stringify(response);\n }\n\n if (feedType === 'hn_api') {\n var hnData = typeof response === 'object' && response.hits ? response : JSON.parse(body);\n var hits = hnData.hits || [];\n for (var h = 0; h < hits.length; h++) {\n var hit = hits[h];\n var hitDate = new Date(hit.created_at).getTime();\n if (hitDate < oneDayAgo) continue;\n if (!hit.url) continue;\n articles.push({ json: {\n title: hit.title || '', url: hit.url, source: feedName,\n category: feedCategory, publishedAt: hit.created_at,\n socialScore: (hit.points || 0) + (hit.num_comments || 0) * 2,\n excerpt: '', runId: runId\n }});\n }\n } else if (feedType === 'reddit') {\n var rd = typeof response === 'object' && response.data ? response : JSON.parse(body);\n var children = (rd.data && rd.data.children) || [];\n for (var r = 0; r < children.length; r++) {\n var post = children[r].data;\n if (!post) continue;\n var postDate = (post.created_utc || 0) * 1000;\n if (postDate < oneDayAgo) continue;\n var postUrl = post.url_overridden_by_dest || post.url || '';\n if (postUrl.indexOf('reddit.com') !== -1) postUrl = 'https://www.reddit.com' + post.permalink;\n articles.push({ json: {\n title: post.title || '', url: postUrl, source: feedName,\n category: feedCategory,\n publishedAt: new Date(postDate).toISOString(),\n socialScore: (post.score || 0) + (post.num_comments || 0) * 2,\n excerpt: (post.selftext || '').substring(0, 300), runId: runId\n }});\n }\n } else if (feedType === 'atom') {\n var entryRegex = //gi;\n var entries = body.match(entryRegex) || [];\n for (var a = 0; a < entries.length; a++) {\n var entry = entries[a];\n var tM = entry.match(/]*>([\\s\\S]*?)<\\/title>/i);\n var lM = entry.match(/]*href=[\"']([^\"']+)[\"'][^>]*>/i);\n var pM = entry.match(/]*>([\\s\\S]*?)<\\/published>/i) || entry.match(/]*>([\\s\\S]*?)<\\/updated>/i);\n var sM = entry.match(/]*>([\\s\\S]*?)<\\/summary>/i) || entry.match(/]*>([\\s\\S]*?)<\\/content>/i);\n var pubDate = pM ? new Date(pM[1].trim()).getTime() : 0;\n if (pubDate && pubDate < oneDayAgo) continue;\n var eTitle = tM ? tM[1].replace(/<[^>]+>/g, '').trim() : '';\n var eUrl = lM ? lM[1] : '';\n if (!eUrl || !eTitle) continue;\n articles.push({ json: {\n title: eTitle, url: eUrl, source: feedName,\n category: feedCategory,\n publishedAt: pM ? pM[1].trim() : '',\n socialScore: 0,\n excerpt: sM ? sM[1].replace(/<[^>]+>/g, '').trim().substring(0, 300) : '',\n runId: runId\n }});\n }\n } else {\n var itemRegex = //gi;\n var rssItems = body.match(itemRegex) || [];\n for (var j = 0; j < rssItems.length; j++) {\n var item = rssItems[j];\n var tR = item.match(/]*>([\\s\\S]*?)<\\/title>/i);\n var lR = item.match(/]*>([\\s\\S]*?)<\\/link>/i);\n var pR = item.match(/]*>([\\s\\S]*?)<\\/pubDate>/i);\n var dR = item.match(/]*>([\\s\\S]*?)<\\/description>/i);\n var rssDate = pR ? new Date(pR[1].trim()).getTime() : 0;\n if (rssDate && rssDate < oneDayAgo) continue;\n var rT = tR ? tR[1].replace(//g, '').replace(/<[^>]+>/g, '').trim() : '';\n var rL = lR ? lR[1].replace(//g, '').trim() : '';\n if (!rL || !rT) continue;\n articles.push({ json: {\n title: rT, url: rL, source: feedName,\n category: feedCategory,\n publishedAt: pR ? pR[1].trim() : '',\n socialScore: 0,\n excerpt: dR ? dR[1].replace(//g, '').replace(/<[^>]+>/g, '').trim().substring(0, 300) : '',\n runId: runId\n }});\n }\n }\n } catch (e) {\n errors.push({ feed: feedName, error: e.message });\n }\n}\n\narticles.sort(function(a, b) { return (b.json.socialScore || 0) - (a.json.socialScore || 0); });\n\nif (articles.length === 0) {\n return [{ json: { url: '', _noArticles: true, articleCount: 0, runId: runId, errors: errors } }];\n}\nif (errors.length > 0) articles[0].json._feedErrors = errors;\nreturn articles;"},"typeVersion":2},{"id":"2a4aeb63-b347-49cd-a976-76ddee8fd72b","name":"Any articles found?","type":"n8n-nodes-base.if","position":[2560,784],"parameters":{"options":{},"conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"loose"},"combinator":"and","conditions":[{"id":"afb369bf","operator":{"type":"string","operation":"notEmpty"},"leftValue":"={{ $json.url }}","rightValue":""}]}},"typeVersion":2.2},{"id":"a33cf456-8543-4018-97a4-68a1fa8a71c8","name":"Mark run as empty","type":"n8n-nodes-base.postgres","position":[2848,576],"parameters":{"query":"={{ $(\"⚙️ Configure digest settings\").first().json.use_postgres ? \"UPDATE digest_runs SET status = 'no_articles', completed_at = NOW(), duration_seconds = EXTRACT(EPOCH FROM (NOW() - started_at))::int WHERE id = '\" + $('Create run record').first().json.id + \"'\" : \"SELECT 1\" }}","options":{},"operation":"executeQuery"},"credentials":{"postgres":{"id":"032psGVSbEPse0XO","name":"nxsi-postgres"}},"typeVersion":2.5,"alwaysOutputData":true},{"id":"a4996912-f948-4cb7-8fe6-59ee3f33671f","name":"Deduplicate by URL and title","type":"n8n-nodes-base.code","position":[2848,784],"parameters":{"jsCode":"function djb2(str) {\n var hash = 5381;\n for (var i = 0; i < str.length; i++) {\n hash = ((hash << 5) + hash) + str.charCodeAt(i);\n hash = hash & hash;\n }\n return Math.abs(hash).toString(16).padStart(8, '0');\n}\n\nfunction levenshtein(a, b) {\n if (a.length === 0) return b.length;\n if (b.length === 0) return a.length;\n var matrix = [];\n for (var i = 0; i <= b.length; i++) matrix[i] = [i];\n for (var j = 0; j <= a.length; j++) matrix[0][j] = j;\n for (var i = 1; i <= b.length; i++) {\n for (var j = 1; j <= a.length; j++) {\n if (b.charAt(i - 1) === a.charAt(j - 1)) {\n matrix[i][j] = matrix[i - 1][j - 1];\n } else {\n matrix[i][j] = Math.min(matrix[i - 1][j - 1] + 1, matrix[i][j - 1] + 1, matrix[i - 1][j] + 1);\n }\n }\n }\n return matrix[b.length][a.length];\n}\n\nfunction normalizeTitle(title) {\n return title.toLowerCase().replace(/[^a-z0-9\\s]/g, '').replace(/\\s+/g, ' ').trim();\n}\n\nvar allItems = $input.all();\nvar seen = {};\nvar seenTitles = [];\nvar unique = [];\nvar runId = allItems[0].json.runId;\n\nfor (var i = 0; i < allItems.length; i++) {\n var article = allItems[i].json;\n if (!article.url) continue;\n var urlHash = djb2(article.url);\n var normTitle = normalizeTitle(article.title || '');\n\n if (seen[urlHash]) continue;\n\n var isDupe = false;\n for (var j = 0; j < seenTitles.length; j++) {\n var maxLen = Math.max(normTitle.length, seenTitles[j].length);\n if (maxLen === 0) continue;\n var dist = levenshtein(normTitle, seenTitles[j]);\n if (dist / maxLen < 0.2) { isDupe = true; break; }\n }\n if (isDupe) continue;\n\n seen[urlHash] = true;\n seenTitles.push(normTitle);\n article.urlHash = urlHash;\n article.titleNormalized = normTitle;\n unique.push(article);\n}\n\nvar hashListSql = unique.map(function(a) { return \"'\" + a.urlHash + \"'\"; }).join(',');\nif (!hashListSql) hashListSql = \"''\";\n\nreturn [{ json: { articles: unique, hashListSql: hashListSql, count: unique.length, runId: runId } }];"},"typeVersion":2},{"id":"6c6c84cf-6795-4427-bca7-a6b96a72e77c","name":"Check database for recent duplicates","type":"n8n-nodes-base.postgres","position":[3120,784],"parameters":{"query":"={{ $(\"⚙️ Configure digest settings\").first().json.use_postgres ? \"SELECT url_hash FROM digest_articles WHERE url_hash IN (\" + $json.hashListSql + \") AND created_at > NOW() - INTERVAL '\" + ($(\"⚙️ Configure digest settings\").first().json.dedup_lookback_days || 7) + \" days'\" : \"SELECT '' AS url_hash WHERE false\" }}","options":{},"operation":"executeQuery"},"credentials":{"postgres":{"id":"032psGVSbEPse0XO","name":"nxsi-postgres"}},"typeVersion":2.5,"alwaysOutputData":true},{"id":"d18869bc-2d20-4236-9dc9-ac0a3d288f07","name":"Remove already-seen articles","type":"n8n-nodes-base.code","position":[3408,784],"parameters":{"jsCode":"var pgResults = $input.all();\nvar knownHashes = {};\nfor (var i = 0; i < pgResults.length; i++) {\n var hash = pgResults[i].json.url_hash;\n if (hash) knownHashes[hash] = true;\n}\nvar dedupData = $('Deduplicate by URL and title').first().json;\nvar articles = dedupData.articles;\nvar fresh = [];\nfor (var i = 0; i < articles.length; i++) {\n if (!knownHashes[articles[i].urlHash]) fresh.push(articles[i]);\n}\nreturn [{ json: { articles: fresh, count: fresh.length, runId: dedupData.runId } }];"},"typeVersion":2},{"id":"eac5f273-fd2f-4695-aa5e-6c226d538fc7","name":"Select top articles for extraction","type":"n8n-nodes-base.code","position":[3680,784],"parameters":{"jsCode":"var data = $input.first().json;\nvar articles = data.articles;\narticles.sort(function(a, b) { return (b.socialScore || 0) - (a.socialScore || 0); });\nvar maxArticles = $('⚙️ Configure digest settings').first().json.max_extract_articles || 25;\nvar selected = articles.slice(0, maxArticles);\nvar result = [];\nfor (var i = 0; i < selected.length; i++) {\n result.push({ json: selected[i] });\n}\nif (result.length === 0) result.push({ json: { _empty: true, runId: data.runId } });\nreturn result;"},"typeVersion":2},{"id":"d01169be-bcf1-41dd-9b3a-cb1708505e31","name":"Extract full text via Jina","type":"n8n-nodes-base.httpRequest","onError":"continueRegularOutput","position":[3968,784],"parameters":{"url":"=https://r.jina.ai/{{ $json.url }}","options":{"timeout":30000,"response":{"response":{"responseFormat":"json"}}},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"Accept","value":"application/json"},{"name":"X-Return-Format","value":"markdown"}]}},"retryOnFail":false,"typeVersion":4.2},{"id":"ef32355d-2617-4692-9506-3e7fce611019","name":"Assemble extracted content","type":"n8n-nodes-base.code","position":[4240,784],"parameters":{"jsCode":"var jinaResults = $input.all();\nvar articleItems = $('Select top articles for extraction').all();\nvar totalJinaTokens = 0;\nvar articles = [];\n\nfor (var i = 0; i < articleItems.length; i++) {\n var article = articleItems[i].json;\n if (article._empty) continue;\n var jina = jinaResults[i] ? jinaResults[i].json : {};\n var fullText = '';\n var hasFullText = false;\n\n if (jina.data && jina.data.content) {\n fullText = jina.data.content.substring(0, 8000);\n hasFullText = true;\n if (jina.data.usage) totalJinaTokens += jina.data.usage.tokens || 0;\n } else if (jina.content) {\n fullText = String(jina.content).substring(0, 8000);\n hasFullText = true;\n } else {\n fullText = article.excerpt || '';\n }\n\n articles.push({\n title: article.title, url: article.url, source: article.source,\n category: article.category, publishedAt: article.publishedAt,\n socialScore: article.socialScore, urlHash: article.urlHash,\n titleNormalized: article.titleNormalized,\n fullText: fullText, hasFullText: hasFullText, runId: article.runId\n });\n}\n\nreturn [{ json: {\n articles: articles, jinaTokens: totalJinaTokens,\n count: articles.length, runId: articles.length > 0 ? articles[0].runId : ''\n}}];"},"typeVersion":2},{"id":"f824391b-0d86-4cfc-8b99-cdb1b934a238","name":"Prepare analysis prompts","type":"n8n-nodes-base.code","position":[4528,784],"parameters":{"jsCode":"var data = $input.first().json;\nvar articles = data.articles;\nvar jinaTokens = data.jinaTokens;\nvar runId = data.runId;\n\nvar result = [];\nfor (var i = 0; i < articles.length; i++) {\n var a = articles[i];\n var prompt = 'Analyze this article and return ONLY valid JSON:\\n\\nTITLE: ' + a.title + '\\nSOURCE: ' + a.source + '\\nCATEGORY: ' + a.category + '\\nURL: ' + a.url + '\\n\\nFULL TEXT:\\n' + (a.fullText || '(no text available)').substring(0, 8000) + '\\n\\nReturn this exact JSON structure:\\n{\"summary\":\"2-3 sentence summary\",\"importance\":,\"categories\":[\"primary\",\"secondary\"],\"sentiment\":\"positive|negative|neutral|mixed\",\"key_entities\":[\"entity1\",\"entity2\"],\"why_it_matters\":\"One sentence on practical impact\",\"reading_time_min\":}';\n result.push({ json: {\n prompt: prompt, _articleIndex: i, _article: a,\n _jinaTokens: jinaTokens, _runId: runId, _totalArticles: articles.length\n }});\n}\nif (result.length === 0) result.push({ json: { prompt: 'Return {\"summary\":\"no articles\",\"importance\":1,\"categories\":[],\"sentiment\":\"neutral\",\"key_entities\":[],\"why_it_matters\":\"none\",\"reading_time_min\":0}', _article: {}, _jinaTokens: 0, _runId: runId, _totalArticles: 0 } });\nreturn result;"},"typeVersion":2},{"id":"d6e50e51-2678-4eb1-a4ec-6147c93569e5","name":"Analyze article with Claude","type":"@n8n/n8n-nodes-langchain.chainLlm","onError":"continueRegularOutput","maxTries":2,"position":[4800,784],"parameters":{"text":"={{ $json.prompt }}","batching":{},"messages":{"messageValues":[{"message":"You are an expert news analyst. You analyze technology articles and output structured JSON assessments.\n\nSCORING GUIDE (importance 1-10):\n10: Industry-reshaping announcement (new major model, regulation, acquisition >$1B)\n8-9: Significant development with broad impact (major product launch, critical vulnerability)\n6-7: Notable development in a specific domain (new tool, interesting research, meaningful open source release)\n4-5: Incremental update or niche development (version bump, minor feature, limited audience)\n1-3: Routine news, announcements, or opinion pieces with no actionable insight\n\nCATEGORIES (use these exact strings):\nai-models, ai-tools, ai-research, ai-agents, security, devops, open-source, cloud, hardware, startups, regulation, programming\n\nRULES:\n- Return ONLY valid JSON. No markdown formatting, no backticks, no explanation.\n- If the article text is missing, score importance lower (max 5) and note \"limited analysis\" in summary.\n- Be ruthlessly honest about importance. Most articles are 4-6. Reserve 8+ for genuinely significant events.\n- The \"why_it_matters\" should be actionable: \"means X for developers\" not \"this is interesting.\""}]},"promptType":"define"},"retryOnFail":true,"typeVersion":1.7,"waitBetweenTries":3000},{"id":"8da6dc3e-8d64-4596-b0a9-199b11a6ccb1","name":"Score and rank articles","type":"n8n-nodes-base.code","position":[5088,784],"parameters":{"jsCode":"var aiOutputs = $input.all();\nvar batchItems = $('Prepare analysis prompts').all();\nvar topicWeights = {\n 'ai-models': 1.5, 'ai-agents': 1.5, 'ai-tools': 1.3,\n 'ai-research': 1.2, 'security': 1.3, 'open-source': 1.2, 'devops': 1.1\n};\nvar articles = [];\nvar totalInputTokens = 0;\nvar totalOutputTokens = 0;\n\nfor (var i = 0; i < aiOutputs.length; i++) {\n var aiOut = aiOutputs[i].json;\n var batch = batchItems[i].json;\n var article = batch._article;\n\n if (aiOut.tokenUsageEstimate) {\n totalInputTokens += aiOut.tokenUsageEstimate.promptTokens || 0;\n totalOutputTokens += aiOut.tokenUsageEstimate.completionTokens || 0;\n }\n\n // Basic LLM Chain: {text: \"...\"}, AI Agent: {output: \"...\"}\n var responseText = aiOut.text || aiOut.output || '';\n\n var analysis = null;\n try {\n var cleaned = responseText.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\n var js = cleaned.indexOf('{');\n var je = cleaned.lastIndexOf('}');\n if (js !== -1 && je !== -1) analysis = JSON.parse(cleaned.substring(js, je + 1));\n } catch (e) {\n try {\n var partial = cleaned.substring(cleaned.indexOf('{'));\n var opens = (partial.match(/\\{/g) || []).length;\n var closes = (partial.match(/\\}/g) || []).length;\n while (closes < opens) { partial += '}'; closes++; }\n analysis = JSON.parse(partial);\n } catch (e2) {\n analysis = { summary: 'Analysis failed', importance: 3, categories: [article.category || 'tech-general'], sentiment: 'neutral', key_entities: [], why_it_matters: 'Unable to analyze', reading_time_min: 3 };\n }\n }\n\n if (!analysis) {\n analysis = { summary: 'Analysis unavailable', importance: 3, categories: [article.category || 'tech-general'], sentiment: 'neutral', key_entities: [], why_it_matters: 'Unable to analyze', reading_time_min: 3 };\n }\n var baseScore = analysis.importance || 5;\n var maxWeight = 1.0;\n var cats = analysis.categories || [article.category || 'tech-general'];\n for (var c = 0; c < cats.length; c++) {\n var w = topicWeights[cats[c]] || 1.0;\n if (w > maxWeight) maxWeight = w;\n }\n var weighted = baseScore * maxWeight;\n var socialBoost = Math.min((article.socialScore || 0) / 200, 2);\n weighted += socialBoost;\n\n articles.push({\n title: article.title, url: article.url, source: article.source,\n category: article.category, publishedAt: article.publishedAt,\n socialScore: article.socialScore, urlHash: article.urlHash,\n titleNormalized: article.titleNormalized,\n fullText: article.fullText, hasFullText: article.hasFullText,\n summary: analysis.summary, importance: analysis.importance,\n categories: cats, sentiment: analysis.sentiment,\n keyEntities: analysis.key_entities || [],\n whyItMatters: analysis.why_it_matters,\n readingTimeMin: analysis.reading_time_min || 3,\n weightedScore: Math.round(weighted * 100) / 100\n });\n}\n\narticles.sort(function(a, b) { return b.weightedScore - a.weightedScore; });\n\n// Fallback: estimate tokens when tokenUsageEstimate unavailable (Basic LLM Chain)\nif (totalInputTokens === 0) {\n for (var j = 0; j < aiOutputs.length; j++) {\n var artJ = batchItems[j].json._article;\n totalInputTokens += Math.ceil(((artJ.fullText || artJ.summary || '').length + 1800) / 4);\n totalOutputTokens += Math.ceil((aiOutputs[j].json.text || aiOutputs[j].json.output || '').length / 4);\n }\n}\n\nreturn [{ json: {\n articles: articles,\n analysisInputTokens: totalInputTokens,\n analysisOutputTokens: totalOutputTokens,\n jinaTokens: batchItems[0].json._jinaTokens,\n runId: batchItems[0].json._runId,\n count: articles.length\n}}];"},"typeVersion":2},{"id":"ab298c48-0aa1-494a-a884-67a2c33a4f07","name":"Select articles for digest","type":"n8n-nodes-base.code","position":[5360,784],"parameters":{"jsCode":"var data = $input.first().json;\nvar articles = data.articles;\nvar maxDigest = $('⚙️ Configure digest settings').first().json.max_digest_articles || 12;\nvar selected = articles.slice(0, maxDigest);\nvar lead = selected.length > 0 ? selected[0] : null;\nvar topStories = selected.slice(1, 5);\nvar quickHits = selected.slice(5);\n\nvar compilationData = '';\nif (lead) {\n compilationData += 'LEAD STORY:\\nTitle: ' + lead.title + '\\nSource: ' + lead.source + '\\nImportance: ' + lead.importance + '/10\\nSummary: ' + lead.summary + '\\nWhy it matters: ' + lead.whyItMatters + '\\n\\n';\n}\ncompilationData += 'TOP STORIES:\\n';\nfor (var i = 0; i < topStories.length; i++) {\n var s = topStories[i];\n compilationData += (i + 1) + '. ' + s.title + ' [' + s.source + ', ' + s.importance + '/10]\\n ' + s.summary + '\\n Why: ' + s.whyItMatters + '\\n\\n';\n}\ncompilationData += 'QUICK HITS:\\n';\nfor (var i = 0; i < quickHits.length; i++) {\n var q = quickHits[i];\n compilationData += '- ' + q.title + ' [' + q.source + ', ' + q.importance + '/10]: ' + q.summary + '\\n';\n}\n\nvar userPrompt = 'Compile today\\'s AI & tech digest from these analyzed articles. Output ONLY valid JSON.\\n\\n' + compilationData + '\\n\\nReturn this exact JSON structure:\\n{\"subject_line\":\"Email subject (under 60 chars)\",\"lead_analysis\":\"2-3 paragraphs of genuine insight about the lead story\",\"lead_why\":\"Single actionable sentence\",\"top_stories\":[{\"title\":\"...\",\"summary\":\"Exactly 2 sentences\",\"why\":\"Actionable insight\"}],\"quick_hits\":[{\"title\":\"...\",\"one_liner\":\"Key fact, one line\"}],\"trend_note\":\"Trend across stories or empty string\"}';\n\nreturn [{ json: {\n prompt: userPrompt,\n _articles: selected, _lead: lead,\n _topStories: topStories, _quickHits: quickHits,\n _analysisInputTokens: data.analysisInputTokens,\n _analysisOutputTokens: data.analysisOutputTokens,\n _jinaTokens: data.jinaTokens, _runId: data.runId,\n _allArticles: articles, _articlesFound: articles.length\n}}];"},"typeVersion":2},{"id":"443ea580-1b92-49d9-a27d-136e1f3e914d","name":"Claude Sonnet (compiler)","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[5344,1040],"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-sonnet-4-5-20250929"},"options":{"temperature":0.4,"maxTokensToSample":8192}},"credentials":{"anthropicApi":{"id":"5zrxbFzTF9Yr7MNS","name":"nxsi-anthropic"}},"typeVersion":1.3},{"id":"a5f54991-eb5c-4ecf-9782-a6e5612990ee","name":"Compile digest with Claude","type":"@n8n/n8n-nodes-langchain.agent","maxTries":3,"position":[5648,784],"parameters":{"text":"={{ $json.prompt }}","agent":"conversationalAgent","options":{"systemMessage":"You compile daily AI & tech news digests. Your output is the final digest that gets sent to Discord, Slack, and email.\n\nVOICE: Professional but approachable. Write like a knowledgeable colleague summarizing what they read today, not a news anchor. Be direct and opinionated about why things matter.\n\nRULES:\n- Lead analysis should have genuine insight, not just restate the headline\n- \"Why it matters\" must be actionable: what should the reader know or do differently\n- Top story summaries: exactly 2 sentences each, no fluff\n- Quick hits: maximum one line each, start with the key fact\n- If you spot a trend across stories, mention it in trend_note\n- Return ONLY valid JSON"},"promptType":"define"},"retryOnFail":true,"typeVersion":1.7,"waitBetweenTries":5000},{"id":"33120460-8e96-404c-a3ec-89c7d1e8143c","name":"Format multi-channel outputs","type":"n8n-nodes-base.code","position":[5920,784],"parameters":{"jsCode":"var compileOut = $input.first().json;\nvar selData = $('Select articles for digest').first().json;\n\nvar responseText = compileOut.output || compileOut.text || '';\nvar digest = null;\ntry {\n var cleaned = responseText.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\n var js = cleaned.indexOf('{');\n var je = cleaned.lastIndexOf('}');\n if (js !== -1 && je !== -1) digest = JSON.parse(cleaned.substring(js, je + 1));\n} catch (e) {\n digest = { subject_line: 'AI News Digest', lead_analysis: responseText.substring(0, 500), lead_why: '', top_stories: [], quick_hits: [], trend_note: '' };\n}\nif (!digest) digest = {};\ndigest.subject_line = digest.subject_line || 'AI News Digest';\ndigest.lead_analysis = digest.lead_analysis || '';\ndigest.lead_why = digest.lead_why || '';\ndigest.top_stories = digest.top_stories || [];\ndigest.quick_hits = digest.quick_hits || [];\ndigest.trend_note = digest.trend_note || '';\n\nvar compIn = 0, compOut = 0;\nif (compileOut.tokenUsageEstimate) {\n compIn = compileOut.tokenUsageEstimate.promptTokens || 0;\n compOut = compileOut.tokenUsageEstimate.completionTokens || 0;\n}\nvar aIn = selData._analysisInputTokens || 0;\nvar aOut = selData._analysisOutputTokens || 0;\n// Fallback: estimate compilation tokens from content length\nif (compIn === 0 && compOut === 0) {\n compIn = Math.ceil(((selData.prompt || '').length + 1200) / 4);\n compOut = Math.ceil(responseText.length / 4);\n}\nvar totalIn = aIn + compIn;\nvar totalOut = aOut + compOut;\nvar haikuCost = (aIn * 1 + aOut * 5) / 1000000;\nvar sonnetCost = (compIn * 3 + compOut * 15) / 1000000;\nvar totalCost = Math.round((haikuCost + sonnetCost) * 1000000) / 1000000;\n\nvar lead = selData._lead;\nvar topStories = digest.top_stories || [];\nvar quickHits = digest.quick_hits || [];\nvar articles = selData._articles || [];\nvar allArticles = selData._allArticles || [];\n\n// === DISCORD EMBEDS ===\nvar embeds = [];\nif (lead) {\n embeds.push({\n title: lead.title, url: lead.url,\n description: (digest.lead_analysis || lead.summary || '').substring(0, 4000),\n color: lead.importance >= 9 ? 0xFF0000 : lead.importance >= 7 ? 0xFF8C00 : 0x3498DB,\n fields: [\n { name: 'Why It Matters', value: digest.lead_why || lead.whyItMatters || 'N/A', inline: false },\n { name: 'Source', value: lead.source || '', inline: true },\n { name: 'Score', value: (lead.importance || '?') + '/10', inline: true }\n ],\n footer: { text: 'Lead Story' }\n });\n}\nfor (var i = 0; i < topStories.length && i < 4; i++) {\n var ts = topStories[i];\n var ma = articles[i + 1] || {};\n embeds.push({\n title: ts.title || ma.title || '', url: ma.url || '',\n description: (ts.summary || '').substring(0, 2000),\n color: (ma.importance || 5) >= 7 ? 0xFF8C00 : 0x3498DB,\n fields: [{ name: 'Why', value: ts.why || 'N/A', inline: false }],\n footer: { text: (ma.source || '') + ' | ' + (ma.importance || '?') + '/10' }\n });\n}\nif (quickHits.length > 0) {\n var qhText = '';\n for (var i = 0; i < quickHits.length; i++) {\n var qhArticle = articles[5 + i] || {};\n var qhUrl = qhArticle.url || '';\n var qhTitle = quickHits[i].title || qhArticle.title || '';\n if (qhUrl) {\n qhText += '\\u2022 [' + qhTitle + '](' + qhUrl + '): ' + (quickHits[i].one_liner || '') + '\\n';\n } else {\n qhText += '\\u2022 **' + qhTitle + '**: ' + (quickHits[i].one_liner || '') + '\\n';\n }\n }\n embeds.push({ title: 'Quick Hits', description: qhText.substring(0, 4000), color: 0x95A5A6 });\n}\nembeds.push({\n description: allArticles.length + ' articles analyzed | ' + articles.length + ' selected | Cost: $' + totalCost.toFixed(4),\n color: 0x2C3E50, footer: { text: 'AI News Digest | Powered by Claude' }\n});\nembeds = embeds.slice(0, 10);\n\n// === SLACK BLOCKS ===\nvar blocks = [];\nblocks.push({ type: 'header', text: { type: 'plain_text', text: digest.subject_line || 'AI & Tech News Digest', emoji: true } });\nblocks.push({ type: 'context', elements: [{ type: 'mrkdwn', text: allArticles.length + ' articles analyzed | ' + articles.length + ' selected | $' + totalCost.toFixed(4) }] });\nblocks.push({ type: 'divider' });\nif (lead) {\n blocks.push({ type: 'section', text: { type: 'mrkdwn', text: '*Lead: <' + lead.url + '|' + lead.title + '>*\\n' + (digest.lead_analysis || lead.summary || '').substring(0, 2900) } });\n if (digest.lead_why) blocks.push({ type: 'context', elements: [{ type: 'mrkdwn', text: digest.lead_why }] });\n blocks.push({ type: 'divider' });\n}\nfor (var i = 0; i < topStories.length; i++) {\n var ts = topStories[i]; var ma = articles[i + 1] || {};\n blocks.push({ type: 'section', text: { type: 'mrkdwn', text: '*<' + (ma.url || '') + '|' + (ts.title || ma.title || '') + '>*\\n' + (ts.summary || '') } });\n if (ts.why) blocks.push({ type: 'context', elements: [{ type: 'mrkdwn', text: ts.why }] });\n}\nif (quickHits.length > 0) {\n blocks.push({ type: 'divider' });\n blocks.push({ type: 'section', text: { type: 'mrkdwn', text: '*Quick Hits*' } });\n var qhLines = '';\n for (var i = 0; i < quickHits.length; i++) {\n var qhArticle = articles[5 + i] || {};\n var qhUrl = qhArticle.url || '';\n var qhTitle = quickHits[i].title || qhArticle.title || '';\n if (qhUrl) {\n qhLines += '\\u2022 <' + qhUrl + '|' + qhTitle + '>: ' + (quickHits[i].one_liner || '') + '\\n';\n } else {\n qhLines += '\\u2022 *' + qhTitle + '*: ' + (quickHits[i].one_liner || '') + '\\n';\n }\n }\n blocks.push({ type: 'section', text: { type: 'mrkdwn', text: qhLines.substring(0, 2900) } });\n}\nif (digest.trend_note) {\n blocks.push({ type: 'divider' });\n blocks.push({ type: 'context', elements: [{ type: 'mrkdwn', text: '*Trend:* ' + digest.trend_note }] });\n}\n\n// === MARKDOWN ===\nvar md = '# ' + (digest.subject_line || 'AI & Tech News Digest') + '\\n\\n';\nif (lead) {\n md += '## Lead Story\\n\\n**[' + lead.title + '](' + lead.url + ')** — ' + lead.source + ' (' + lead.importance + '/10)\\n\\n';\n md += (digest.lead_analysis || lead.summary || '') + '\\n\\n';\n if (digest.lead_why) md += '> ' + digest.lead_why + '\\n\\n';\n}\nif (topStories.length > 0) {\n md += '## Top Stories\\n\\n';\n for (var i = 0; i < topStories.length; i++) {\n var ts = topStories[i]; var ma = articles[i + 1] || {};\n md += '### [' + (ts.title || ma.title || '') + '](' + (ma.url || '') + ')\\n' + (ts.summary || '') + '\\n';\n if (ts.why) md += '> ' + ts.why + '\\n';\n md += '\\n';\n }\n}\nif (quickHits.length > 0) {\n md += '## Quick Hits\\n\\n';\n for (var i = 0; i < quickHits.length; i++) {\n var qhArticle = articles[5 + i] || {};\n var qhUrl = qhArticle.url || '';\n var qhTitle = quickHits[i].title || qhArticle.title || '';\n if (qhUrl) {\n md += '- **[' + qhTitle + '](' + qhUrl + ')**: ' + (quickHits[i].one_liner || '') + '\\n';\n } else {\n md += '- **' + qhTitle + '**: ' + (quickHits[i].one_liner || '') + '\\n';\n }\n }\n md += '\\n';\n}\nif (digest.trend_note) md += '---\\n\\n**Trend:** ' + digest.trend_note + '\\n\\n';\nmd += '---\\n\\n_' + allArticles.length + ' articles analyzed | ' + articles.length + ' selected | $' + totalCost.toFixed(4) + ' API cost_\\n';\n\n// === SAVE DATA ===\nvar saveArticles = [];\nfor (var i = 0; i < articles.length; i++) {\n var a = articles[i];\n saveArticles.push({\n urlHash: a.urlHash, titleNormalized: a.titleNormalized,\n url: a.url, title: a.title, source: a.source,\n publishedAt: a.publishedAt,\n fullText: a.fullText ? a.fullText.substring(0, 50000) : '',\n summary: a.summary || '', importance: a.importance || 5,\n categories: a.categories || [], sentiment: a.sentiment || 'neutral',\n keyEntities: a.keyEntities || [], whyItMatters: a.whyItMatters || '',\n readingTimeMin: a.readingTimeMin || 3, includedInDigest: true\n });\n}\n\nreturn [{ json: {\n discordEmbeds: embeds, slackBlocks: blocks,\n markdown: md, subjectLine: digest.subject_line || 'AI & Tech News Digest',\n costUsd: totalCost, costInputTokens: totalIn, costOutputTokens: totalOut,\n jinaTokens: selData._jinaTokens || 0, runId: selData._runId,\n articlesFound: allArticles.length, articlesSelected: articles.length,\n leadStoryTitle: lead ? lead.title : '', saveArticles: saveArticles,\n trendNote: digest.trend_note || ''\n}}];"},"typeVersion":2},{"id":"f7793af1-2496-4fbd-b9fd-9e80f4cae36f","name":"Send digest to Discord","type":"n8n-nodes-base.httpRequest","onError":"continueRegularOutput","position":[6208,608],"parameters":{"url":"={{ $('⚙️ Configure digest settings').first().json.discord_webhook_url }}","method":"POST","options":{"timeout":10000},"jsonBody":"={{ JSON.stringify({ embeds: $json.discordEmbeds }) }}","sendBody":true,"specifyBody":"json"},"typeVersion":4.2},{"id":"41cf330d-7627-498c-99d0-c1de256afc06","name":"Send digest to Slack","type":"n8n-nodes-base.slack","onError":"continueRegularOutput","position":[6208,784],"webhookId":"9a2a4af7-0cf4-44b1-936b-d6e8994bc358","parameters":{"text":"={{ $json.subjectLine }}","select":"channel","blocksUi":"={{ JSON.stringify({ blocks: $json.slackBlocks }) }}","channelId":{"__rl":true,"mode":"id","value":"={{ $('⚙️ Configure digest settings').first().json.slack_channel_id }}"},"messageType":"block","otherOptions":{"includeLinkToWorkflow":false}},"credentials":{"slackApi":{"id":"LlHrJ3xFhfJjRun1","name":"nxsi-slack"}},"typeVersion":2.2},{"id":"072a0613-8ada-4707-b056-aafb641431c2","name":"Build article save query","type":"n8n-nodes-base.code","position":[6208,976],"parameters":{"jsCode":"var data = $input.first().json;\nvar usePg = $('⚙️ Configure digest settings').first().json.use_postgres;\nif (!usePg) {\n return [{ json: { query: \"SELECT 1\", _runData: data } }];\n}\nvar articles = data.saveArticles || [];\nvar runId = data.runId;\n\nfunction esc(str) {\n if (str === null || str === undefined) return 'NULL';\n return \"'\" + String(str).replace(/'/g, \"''\") + \"'\";\n}\n\nif (articles.length === 0) {\n return [{ json: { query: \"SELECT 'no articles to save'\", _runData: data } }];\n}\n\nvar values = [];\nfor (var i = 0; i < articles.length; i++) {\n var a = articles[i];\n values.push('(' +\n esc(a.urlHash) + ',' + esc(a.titleNormalized) + ',' +\n esc(a.url) + ',' + esc(a.title) + ',' + esc(a.source) + ',' +\n (a.publishedAt ? esc(a.publishedAt) : 'NULL') + ',' +\n esc((a.fullText || '').substring(0, 50000)) + ',' +\n esc(a.summary) + ',' + (a.importance || 5) + ',' +\n esc(JSON.stringify(a.categories || [])) + '::jsonb,' +\n esc(a.sentiment) + ',' +\n esc(JSON.stringify(a.keyEntities || [])) + '::jsonb,' +\n esc(a.whyItMatters) + ',' + (a.readingTimeMin || 3) + ',' +\n esc(runId) + ',' + (a.includedInDigest ? 'true' : 'false') + ')');\n}\n\nvar query = 'INSERT INTO digest_articles (url_hash, title_normalized, url, title, source_name, published_at, full_text, summary, importance_score, categories, sentiment, key_entities, why_it_matters, reading_time_min, digest_id, included_in_digest) VALUES ' + values.join(',') + ' ON CONFLICT (url_hash) DO NOTHING';\n\nreturn [{ json: { query: query, _runData: data } }];"},"typeVersion":2},{"id":"7e5072f5-ab02-4009-adc6-2aaf6e14e435","name":"Save articles to database","type":"n8n-nodes-base.postgres","position":[6480,976],"parameters":{"query":"={{ $json.query }}","options":{},"operation":"executeQuery"},"credentials":{"postgres":{"id":"032psGVSbEPse0XO","name":"nxsi-postgres"}},"typeVersion":2.5,"alwaysOutputData":true},{"id":"6a5864ab-dcac-48a5-9a40-d88470440c5e","name":"Mark run as completed","type":"n8n-nodes-base.postgres","position":[6736,976],"parameters":{"query":"={{ $(\"⚙️ Configure digest settings\").first().json.use_postgres ? \"UPDATE digest_runs SET status = 'completed', feeds_checked = 10, articles_found = \" + $('Format multi-channel outputs').first().json.articlesFound + \", articles_after_dedup = \" + $('Format multi-channel outputs').first().json.articlesFound + \", articles_selected = \" + $('Format multi-channel outputs').first().json.articlesSelected + \", lead_story_title = \" + ($('Format multi-channel outputs').first().json.leadStoryTitle ? \"'\" + $('Format multi-channel outputs').first().json.leadStoryTitle.replace(/'/g, \"''\") + \"'\" : \"NULL\") + \", cost_input_tokens = \" + $('Format multi-channel outputs').first().json.costInputTokens + \", cost_output_tokens = \" + $('Format multi-channel outputs').first().json.costOutputTokens + \", cost_usd = \" + $('Format multi-channel outputs').first().json.costUsd + \", jina_tokens_used = \" + $('Format multi-channel outputs').first().json.jinaTokens + \", completed_at = NOW(), duration_seconds = EXTRACT(EPOCH FROM (NOW() - started_at))::int WHERE id = '\" + $('Format multi-channel outputs').first().json.runId + \"'\" : \"SELECT 1\" }}","options":{},"operation":"executeQuery"},"credentials":{"postgres":{"id":"032psGVSbEPse0XO","name":"nxsi-postgres"}},"typeVersion":2.5,"alwaysOutputData":true},{"id":"5e659dc8-9dff-4e71-aa92-574d6d48f430","name":"Run daily at 6 AM","type":"n8n-nodes-base.scheduleTrigger","position":[608,784],"parameters":{"rule":{"interval":[{"field":"cronExpression","expression":"0 6 * * *"}]}},"typeVersion":1.2},{"id":"8fed8e62-681d-4eb2-8373-a1948983d503","name":"Claude Haiku (analyzer)","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[5024,1056],"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-haiku-4-5-20251001"},"options":{"temperature":0.2,"maxTokensToSample":2048}},"credentials":{"anthropicApi":{"id":"5zrxbFzTF9Yr7MNS","name":"nxsi-anthropic"}},"typeVersion":1.3},{"id":"ae1b7fe1-3933-4ce8-8471-d7216e61f499","name":"⚙️ Configure digest settings","type":"n8n-nodes-base.set","position":[880,784],"parameters":{"options":{},"assignments":{"assignments":[{"id":"a1b2c3d4","name":"discord_webhook_url","type":"string","value":"https://discord.com/api/webhooks/YOUR_DISCORD_WEBHOOK_URL"},{"id":"e5f6a7b8","name":"slack_channel_id","type":"string","value":"YOUR_SLACK_CHANNEL_ID"},{"id":"c9d0e1f2","name":"max_extract_articles","type":"number","value":25},{"id":"a3b4c5d6","name":"max_digest_articles","type":"number","value":12},{"id":"e7f8a9b0","name":"dedup_lookback_days","type":"number","value":7},{"id":"c1d2e3f4","name":"feed_lookback_hours","type":"number","value":24},{"id":"pg_toggle_01","name":"use_postgres","type":"boolean","value":false}]}},"typeVersion":3.4},{"id":"3c774194-45a4-4f0a-b443-9585691b78d3","name":"Overview — AI News Digest","type":"n8n-nodes-base.stickyNote","position":[-48,96],"parameters":{"width":560,"height":880,"content":"# AI News Digest\n\nAutomated daily digest that monitors RSS/API sources, extracts full article text, analyzes each with Claude AI, scores by importance, and delivers a formatted briefing to Discord, Slack, or email.\n\n### How it works\n1. Triggers on a daily schedule (default: 6 AM)\n2. Fetches articles from configurable sources (RSS, Atom, Reddit JSON, Hacker News API)\n3. Deduplicates by URL hash and fuzzy title matching (+ database lookback if Postgres enabled)\n4. Extracts full article text using [Jina Reader API](https://jina.ai/reader/)\n5. Claude Haiku analyzes each article (importance 1-10, categories, sentiment)\n6. Articles are scored with topic weighting and social signal boosting\n7. Claude Sonnet compiles a polished digest (lead story, top stories, quick hits, trend note)\n8. Delivers to Discord (embeds), Slack (blocks), or both\n\n### Quick start\n1. Add your **Anthropic API key** as an n8n credential ([setup guide](https://nxsi.io/guides/claude-api-setup))\n2. Open **⚙️ Configure digest settings** and set your Discord webhook URL\n3. Activate the workflow — that's it!\n\n### Optional: PostgreSQL for history\nSet `use_postgres` to **true** in the config node to enable run tracking, article storage, and cross-day deduplication. Create the tables using the schema in the template description. The workflow runs fine without it.\n\n### Customization\n- Edit the feed list in **Build feed source list** to add/remove sources\n- Adjust topic weights in **Score and rank articles**\n- Change `max_extract_articles` and `max_digest_articles` in the config node\n- Modify the digest tone in the **Compile digest with Claude** system prompt\n- Swap Claude models: Haiku for cheaper runs, Opus for deeper analysis"},"typeVersion":1},{"id":"df43ca14-d5df-4610-aa6e-aab8f63c3f46","name":"Section — Configuration","type":"n8n-nodes-base.stickyNote","position":[576,528],"parameters":{"color":7,"width":496,"height":452,"content":"## Configuration\nAll user settings in one place. Edit this node to set your webhook URLs, channel IDs, processing limits, and the `use_postgres` toggle.\n\n[Discord webhook setup](https://support.discord.com/hc/en-us/articles/228383668) | [Slack webhook guide](https://api.slack.com/messaging/webhooks)"},"typeVersion":1},{"id":"6ba9dcbd-b802-4050-a610-0d105dc54fa7","name":"Section — Run Tracking","type":"n8n-nodes-base.stickyNote","position":[1120,528],"parameters":{"color":7,"width":480,"height":452,"content":"## Run Tracking\nCreates a timestamped database record to track progress, article counts, and API costs per run.\n\n(Optional)\nPostgreSQL enables run tracking, article history, and cross-day dedup. Set `use_postgres` to **true** in the config node, then create the tables from the template description.\n\nNot required - the workflow runs fully without a database."},"typeVersion":1},{"id":"c8b57b6f-5d75-4e7c-bb74-6fed24b99d28","name":"Section — Feed Collection","type":"n8n-nodes-base.stickyNote","position":[1664,528],"parameters":{"color":7,"width":776,"height":452,"content":"## Feed Collection\nFetches and parses articles from RSS, Atom, Reddit JSON, and Hacker News API. Handles all feed formats automatically."},"typeVersion":1},{"id":"4922558c-4424-4bc9-99dd-31474e2b0649","name":"Section — Deduplication","type":"n8n-nodes-base.stickyNote","position":[2496,432],"parameters":{"color":7,"width":1080,"height":548,"content":"## Deduplication\nThree layers: URL hash matching, fuzzy title comparison (Levenshtein distance), and database lookback to skip recently-covered stories.\n\nDatabase dedup is automatic when Postgres is enabled. Without it, URL hash and title matching still prevent duplicates within each run."},"typeVersion":1},{"id":"35dc639a-7bbd-44d4-9bf2-a63963b325a3","name":"Section — Content Extraction","type":"n8n-nodes-base.stickyNote","position":[3632,528],"parameters":{"color":7,"width":744,"height":452,"content":"## Content Extraction\nPulls full article text via [Jina Reader API](https://jina.ai/reader/) for deeper AI analysis beyond just titles and excerpts. Free tier handles most daily digest volumes."},"typeVersion":1},{"id":"2da857f5-2fb9-43fe-84d3-b3e002b8227f","name":"Section — AI Analysis","type":"n8n-nodes-base.stickyNote","position":[4464,528],"parameters":{"color":7,"width":792,"height":452,"content":"## AI Analysis\nClaude Haiku scores each article 1-10 for importance, assigns categories, detects sentiment, and writes a practical \"why it matters\" for each."},"typeVersion":1},{"id":"d39a1269-00a8-42c5-a164-14ec88ea9797","name":"Section — Digest Compilation","type":"n8n-nodes-base.stickyNote","position":[5312,528],"parameters":{"color":7,"width":728,"height":452,"content":"## Digest Compilation\nClaude Sonnet compiles top articles into a structured digest: lead story with analysis, top stories, quick hits, and trend detection."},"typeVersion":1},{"id":"4f971704-db51-4830-bb8a-af215aaee8c6","name":"Section — Delivery and Storage","type":"n8n-nodes-base.stickyNote","position":[6144,448],"parameters":{"color":7,"width":744,"height":716,"content":"## Delivery & Storage\nSends formatted digest to Discord (embeds) and Slack (blocks). When Postgres is enabled, saves all analyzed articles and logs run completion stats.\n\nWithout Postgres, delivery works the same - the database nodes are safely skipped."},"typeVersion":1},{"id":"0d60f0c8-aead-4180-b649-5a5b813558ac","name":"Warning — Anthropic API Cost","type":"n8n-nodes-base.stickyNote","position":[4992,1008],"parameters":{"color":3,"width":464,"height":328,"content":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n⚠️ **Requires Anthropic API key**\nAdd your key via n8n Credentials → Anthropic.\n\nQuick setup: [console.anthropic.com](https://console.anthropic.com) → API Keys → Create Key\nFull guide: [nxsi.io/guides/claude-api-setup](https://nxsi.io/guides/claude-api-setup)"},"typeVersion":1},{"id":"077bd980-e9fc-464e-a343-94b6f5a97168","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-48,992],"parameters":{"width":784,"height":864,"content":"## Optional: PostgreSQL\n\n Set `use_postgres` to **true** in the config node to enable run tracking, article storage, and cross-day deduplication. The workflow runs fully without a database -- all five Postgres nodes are safely skipped when disabled.\n\n If you enable it, create these tables first:\n\n `CREATE TABLE IF NOT EXISTS digest_runs (\n id UUID PRIMARY KEY DEFAULT gen_random_uuid(),`\n `run_date DATE NOT NULL,`\n `started_at TIMESTAMPTZ DEFAULT now(),`\n `completed_at TIMESTAMPTZ,`\n `articles_found INTEGER DEFAULT 0,`\n `articles_selected INTEGER DEFAULT 0,`\n `cost_input_tokens INTEGER DEFAULT 0,`\n `cost_output_tokens INTEGER DEFAULT 0,`\n `cost_usd NUMERIC(10,6) DEFAULT 0,`\n `status VARCHAR(20) DEFAULT 'running'`\n `);`\n\n `CREATE TABLE IF NOT EXISTS digest_articles (\n id UUID PRIMARY KEY DEFAULT gen_random_uuid(),`\n `run_id UUID REFERENCES digest_runs(id),`\n `url_hash VARCHAR(64) NOT NULL,`\n `title_normalized VARCHAR(500),`\n `url TEXT,`\n `title TEXT,`\n `source VARCHAR(100),`\n `published_at TIMESTAMPTZ,`\n `full_text TEXT,`\n `summary TEXT,`\n `importance INTEGER,`\n `categories TEXT[],`\n `sentiment VARCHAR(20),`\n `key_entities TEXT[],`\n `why_it_matters TEXT,`\n `reading_time_min INTEGER,`\n `included_in_digest BOOLEAN DEFAULT false,`\n `created_at TIMESTAMPTZ DEFAULT now()`\n `);`\n\n `CREATE INDEX idx_digest_articles_url_hash ON digest_articles(url_hash);`\n `CREATE INDEX idx_digest_articles_title ON digest_articles(title_normalized);`\n `CREATE INDEX idx_digest_articles_created ON digest_articles(created_at);`"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","callerPolicy":"workflowsFromSameOwner","availableInMCP":false,"executionOrder":"v1"},"versionId":"4db1ab82-a1e5-4f1e-a2da-45a80accced2","connections":{"Create run record":{"main":[[{"node":"Build feed source list","type":"main","index":0}]]},"Run daily at 6 AM":{"main":[[{"node":"⚙️ Configure digest settings","type":"main","index":0}]]},"Fetch feed content":{"main":[[{"node":"Parse articles from feeds","type":"main","index":0}]]},"Any articles found?":{"main":[[{"node":"Deduplicate by 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completed","type":"main","index":0}]]},"Assemble extracted content":{"main":[[{"node":"Prepare analysis prompts","type":"main","index":0}]]},"Compile digest with Claude":{"main":[[{"node":"Format multi-channel outputs","type":"main","index":0}]]},"Extract full text via Jina":{"main":[[{"node":"Assemble extracted content","type":"main","index":0}]]},"Select articles for digest":{"main":[[{"node":"Compile digest with Claude","type":"main","index":0}]]},"Analyze article with Claude":{"main":[[{"node":"Score and rank articles","type":"main","index":0}]]},"Deduplicate by URL and title":{"main":[[{"node":"Check database for recent duplicates","type":"main","index":0}]]},"Format multi-channel outputs":{"main":[[{"node":"Send digest to Discord","type":"main","index":0},{"node":"Send digest to Slack","type":"main","index":0},{"node":"Build article save query","type":"main","index":0}]]},"Remove already-seen articles":{"main":[[{"node":"Select top articles for 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