Alena - Prodigy AI Sol This workflow corresponds to n8n.io template #15187 — we link there as the canonical source.
This workflow follows the Agent → Gmail recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "",
"meta": {
"templateCredsSetupCompleted": false
},
"name": "Auto-post top Reddit content to Telegram - Free Template",
"tags": [],
"nodes": [
{
"id": "519e7efa-5b20-46e9-bb74-2d0631810921",
"name": "Trigger - Cron1",
"type": "n8n-nodes-base.cron",
"onError": "continueErrorOutput",
"position": [
-976,
368
],
"parameters": {
"triggerTimes": {
"item": [
{
"hour": 10,
"mode": "everyWeek"
}
]
}
},
"notesInFlow": true,
"retryOnFail": true,
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "7c1c87ce-662b-4c2a-9405-f9c1f91e032a",
"name": "Normalized Fields",
"type": "n8n-nodes-base.code",
"position": [
32,
528
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Normalize url/title/publishedAt (ISO). Handles Reddit permalinks and \"x hours ago\".\nfunction toIso(raw) {\n if (!raw) return null;\n const s = String(raw).toLowerCase();\n const m = s.match(/(\\d+(?:\\.\\d+)?)\\s*(minute|hour|day|week|month|year)s?\\s*ago/);\n if (m) {\n const n = parseFloat(m[1]);\n const unit = m[2];\n const mult = { minute: 60000, hour: 3600000, day: 86400000, week: 604800000, month: 2592000000, year: 31536000000 }[unit] || 86400000;\n return new Date(Date.now() - n * mult).toISOString();\n }\n const d = new Date(s);\n return isNaN(d) ? null : d.toISOString();\n}\n\nconst j = item.json || {};\nlet url = j.url || j.link || j.permalink || j.permalink_url || '';\nif (url && String(url).startsWith('/r/')) url = 'https://www.reddit.com' + url;\n\nconst title = (j.title || j.headline || j.full_title || j.text || '').toString().trim();\nconst publishedRaw = j.publishedAt || j.published_at || j.pubDate || j.isoDate || j.date || j.created_at || j.time;\n\nitem.json = {\n ...j,\n url,\n title,\n publishedAt: toIso(publishedRaw)\n};\nreturn item;\n"
},
"typeVersion": 2
},
{
"id": "75b0406f-894a-42c3-9769-77e9e0e38199",
"name": "Deduplicate (url \u2192 title)",
"type": "n8n-nodes-base.code",
"position": [
368,
528
],
"parameters": {
"jsCode": "function normUrl(u){\n if (!u) return '';\n try { return new URL(String(u)).toString(); }\n catch { return String(u).trim(); }\n}\nfunction keyify(v){ return String(v||'').trim().toLowerCase(); }\n\nconst byUrl = [];\nconst seenUrl = new Set();\nfor (const it of items) {\n const u = keyify(normUrl(it.json.url));\n if (u && !seenUrl.has(u)) {\n seenUrl.add(u);\n byUrl.push(it);\n }\n}\n\nconst finalOut = [];\nconst seenTitle = new Set();\nfor (const it of byUrl) {\n const t = keyify(it.json.title);\n if (!t || !seenTitle.has(t)) {\n seenTitle.add(t);\n finalOut.push(it);\n }\n}\n\nreturn finalOut;\n"
},
"typeVersion": 2
},
{
"id": "5107d752-6cdd-4547-ae3d-4cd80ae7c45f",
"name": "Score & Compose",
"type": "n8n-nodes-base.code",
"position": [
944,
576
],
"parameters": {
"jsCode": "// Collect all Reddit posts from input\nconst posts = $input.all().map(item => item.json);\n\n// Normalize - prefer the Reddit permalink so links point to the discussion,\n// not the external image/article URL\nconst normalized = posts.map(p => ({\n title: p.title || '',\n url: p.permalink\n ? `https://www.reddit.com${p.permalink}`\n : (p.url || ''),\n externalUrl: p.url || '', // kept for reference if you ever need it\n ups: p.ups || 0,\n upvote_ratio: p.upvote_ratio || 0,\n num_comments: p.num_comments || 0,\n created_utc: p.created_utc ? new Date(p.created_utc * 1000) : null\n}));\n\n// Pick highest scorer (ups x upvote_ratio)\nconst winner = normalized.sort((a, b) =>\n (b.ups * b.upvote_ratio) - (a.ups * a.upvote_ratio)\n)[0] || null;\n\n// Output\nreturn [{\n json: {\n winner,\n candidates: normalized.slice(0, 10),\n post: winner ? {\n text: `\ud83d\udd25 ${winner.title}\\n\ud83d\udd17 ${winner.url}\\n\ud83d\udc4d ${winner.ups} | \u2b06\ufe0f ${(winner.upvote_ratio*100).toFixed(1)}%`\n } : null\n }\n}];"
},
"typeVersion": 2
},
{
"id": "75dab4ec-2eb6-4269-8af4-973d06624c20",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1312,
800
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "gpt-4.1-mini"
},
"options": {
"temperature": 0.4,
"responseFormat": "text"
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "dc5ca6b3-d060-41c6-9e9b-3f503ddbda56",
"name": "Social Posts Generator",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1328,
592
],
"parameters": {
"text": "=You are a skilled social content creator. You receive a JSON list of candidate Reddit posts. Each item has: title, url, ups, upvote_ratio, num_comments, created_utc.\n\nYour job is to craft ONE Telegram post based on the strongest item in the list.\n\nTasks:\n1. Pick the single best story from the candidates list.\n - If the input contains a \"previously_chosen\" field, that story was just \n declined by the reviewer. DO NOT pick it again - choose a different \n candidate from the list.\n - Otherwise, if items are similar, prefer the newer one or the one with \n higher engagement (ups x upvote_ratio).\n2. Write the Telegram post: 2-3 sentences, clear and informative, 1-3 emojis.\n3. End the post with: Read more: <url>\n4. Append 4-6 relevant hashtags on a new line at the end, mixing general ones (#AI, #Automation) and topic-specific ones.\n5. Do not invent facts - use only the provided items.\n\nCRITICAL FORMATTING RULE - READ CAREFULLY:\nThe telegram field MUST be plain text only. Telegram will reject the message if you use any markdown.\nFORBIDDEN characters and patterns:\n- No asterisks anywhere: not *word*, not **word**, not lists with *\n- No underscores around words: not _word_, not __word__\n- No backticks: not `word`\n- No markdown links: NEVER write [text](url). Always write the URL as plain text like https://example.com\n- No square brackets [ ] around anything\n- No pipe characters |\n\nALLOWED:\n- Plain URLs: https://www.reddit.com/r/...\n- Hashtags: #AI #Automation (plain text, no formatting around them)\n- Emojis\n- Regular punctuation: . , : ; ! ? -\n\nInput items:\n{{ JSON.stringify($json.candidates || [$json.winner] || [$json]) }}\n\nOutput (must be valid JSON):\n{\n \"chosen\": { \"title\": \"...\", \"url\": \"...\", \"ups\": 0, \"upvote_ratio\": 0 },\n \"posts\": {\n \"telegram\": \"string\"\n }\n}\n\nReviewer feedback: {{ $json.feedback || \"Approved - continue as planned.\" }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.7
},
{
"id": "5d275ed1-8ab1-4c6a-8cf9-c4e989985332",
"name": "Log Fetched Reddit Posts",
"type": "n8n-nodes-base.googleSheets",
"position": [
752,
816
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "subreddit",
"type": "string",
"display": true,
"required": false,
"displayName": "subreddit",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "selftext",
"type": "string",
"display": true,
"required": false,
"displayName": "selftext",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "upvote_ratio",
"type": "string",
"display": true,
"required": false,
"displayName": "upvote_ratio",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ups",
"type": "string",
"display": true,
"required": false,
"displayName": "ups",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "permalink",
"type": "string",
"display": true,
"required": false,
"displayName": "permalink",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "approved_at_utc",
"type": "string",
"display": true,
"required": false,
"displayName": "approved_at_utc",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_fullname",
"type": "string",
"display": true,
"required": false,
"displayName": "author_fullname",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "saved",
"type": "string",
"display": true,
"required": false,
"displayName": "saved",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "mod_reason_title",
"type": "string",
"display": true,
"required": false,
"displayName": "mod_reason_title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "gilded",
"type": "string",
"display": true,
"required": false,
"displayName": "gilded",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "clicked",
"type": "string",
"display": true,
"required": false,
"displayName": "clicked",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_richtext",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_richtext",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "subreddit_name_prefixed",
"type": "string",
"display": true,
"required": false,
"displayName": "subreddit_name_prefixed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "hidden",
"type": "string",
"display": true,
"required": false,
"displayName": "hidden",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pwls",
"type": "string",
"display": true,
"required": false,
"displayName": "pwls",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_css_class",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_css_class",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "downs",
"type": "string",
"display": true,
"required": false,
"displayName": "downs",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "thumbnail_height",
"type": "string",
"display": true,
"required": false,
"displayName": "thumbnail_height",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "top_awarded_type",
"type": "string",
"display": true,
"required": false,
"displayName": "top_awarded_type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "hide_score",
"type": "string",
"display": true,
"required": false,
"displayName": "hide_score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "name",
"type": "string",
"display": true,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "quarantine",
"type": "string",
"display": true,
"required": false,
"displayName": "quarantine",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_text_color",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_text_color",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_background_color",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_background_color",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "total_awards_received",
"type": "string",
"display": true,
"required": false,
"displayName": "total_awards_received",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "media_embed",
"type": "string",
"display": true,
"required": false,
"displayName": "media_embed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "thumbnail_width",
"type": "string",
"display": true,
"required": false,
"displayName": "thumbnail_width",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_template_id",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_template_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_original_content",
"type": "string",
"display": true,
"required": false,
"displayName": "is_original_content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "user_reports",
"type": "string",
"display": true,
"required": false,
"displayName": "user_reports",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "secure_media",
"type": "string",
"display": true,
"required": false,
"displayName": "secure_media",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_reddit_media_domain",
"type": "string",
"display": true,
"required": false,
"displayName": "is_reddit_media_domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_meta",
"type": "string",
"display": true,
"required": false,
"displayName": "is_meta",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "secure_media_embed",
"type": "string",
"display": true,
"required": false,
"displayName": "secure_media_embed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_text",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "can_mod_post",
"type": "string",
"display": true,
"required": false,
"displayName": "can_mod_post",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "score",
"type": "string",
"display": true,
"required": false,
"displayName": "score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "approved_by",
"type": "string",
"display": true,
"required": false,
"displayName": "approved_by",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_created_from_ads_ui",
"type": "string",
"display": true,
"required": false,
"displayName": "is_created_from_ads_ui",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_premium",
"type": "string",
"display": true,
"required": false,
"displayName": "author_premium",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "thumbnail",
"type": "string",
"display": true,
"required": false,
"displayName": "thumbnail",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "edited",
"type": "string",
"display": true,
"required": false,
"displayName": "edited",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_css_class",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_css_class",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_richtext",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_richtext",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "gildings",
"type": "string",
"display": true,
"required": false,
"displayName": "gildings",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_hint",
"type": "string",
"display": true,
"required": false,
"displayName": "post_hint",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_categories",
"type": "string",
"display": true,
"required": false,
"displayName": "content_categories",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_self",
"type": "string",
"display": true,
"required": false,
"displayName": "is_self",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "subreddit_type",
"type": "string",
"display": true,
"required": false,
"displayName": "subreddit_type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created",
"type": "string",
"display": true,
"required": false,
"displayName": "created",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_type",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "wls",
"type": "string",
"display": true,
"required": false,
"displayName": "wls",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "removed_by_category",
"type": "string",
"display": true,
"required": false,
"displayName": "removed_by_category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "banned_by",
"type": "string",
"display": true,
"required": false,
"displayName": "banned_by",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_type",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "domain",
"type": "string",
"display": true,
"required": false,
"displayName": "domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "allow_live_comments",
"type": "string",
"display": true,
"required": false,
"displayName": "allow_live_comments",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "selftext_html",
"type": "string",
"display": true,
"required": false,
"displayName": "selftext_html",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "likes",
"type": "string",
"display": true,
"required": false,
"displayName": "likes",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_sort",
"type": "string",
"display": true,
"required": false,
"displayName": "suggested_sort",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "banned_at_utc",
"type": "string",
"display": true,
"required": false,
"displayName": "banned_at_utc",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "url_overridden_by_dest",
"type": "string",
"display": true,
"required": false,
"displayName": "url_overridden_by_dest",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "view_count",
"type": "string",
"display": true,
"required": false,
"displayName": "view_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "archived",
"type": "string",
"display": true,
"required": false,
"displayName": "archived",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "no_follow",
"type": "string",
"display": true,
"required": false,
"displayName": "no_follow",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_crosspostable",
"type": "string",
"display": true,
"required": false,
"displayName": "is_crosspostable",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pinned",
"type": "string",
"display": true,
"required": false,
"displayName": "pinned",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "over_18",
"type": "string",
"display": true,
"required": false,
"displayName": "over_18",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "preview",
"type": "string",
"display": true,
"required": false,
"displayName": "preview",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "all_awardings",
"type": "string",
"display": true,
"required": false,
"displayName": "all_awardings",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "awarders",
"type": "string",
"display": true,
"required": false,
"displayName": "awarders",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "media_only",
"type": "string",
"display": true,
"required": false,
"displayName": "media_only",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_template_id",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_template_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "can_gild",
"type": "string",
"display": true,
"required": false,
"displayName": "can_gild",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "spoiler",
"type": "string",
"display": true,
"required": false,
"displayName": "spoiler",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "locked",
"type": "string",
"display": true,
"required": false,
"displayName": "locked",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_text",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "treatment_tags",
"type": "string",
"display": true,
"required": false,
"displayName": "treatment_tags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "visited",
"type": "string",
"display": true,
"required": false,
"displayName": "visited",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "removed_by",
"type": "string",
"display": true,
"required": false,
"displayName": "removed_by",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "mod_note",
"type": "string",
"display": true,
"required": false,
"displayName": "mod_note",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "distinguished",
"type": "string",
"display": true,
"required": false,
"displayName": "distinguished",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "subreddit_id",
"type": "string",
"display": true,
"required": false,
"displayName": "subreddit_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_is_blocked",
"type": "string",
"display": true,
"required": false,
"displayName": "author_is_blocked",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "mod_reason_by",
"type": "string",
"display": true,
"required": false,
"displayName": "mod_reason_by",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "num_reports",
"type": "string",
"display": true,
"required": false,
"displayName": "num_reports",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "removal_reason",
"type": "string",
"display": true,
"required": false,
"displayName": "removal_reason",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link_flair_background_color",
"type": "string",
"display": true,
"required": false,
"displayName": "link_flair_background_color",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "is_robot_indexable",
"type": "string",
"display": true,
"required": false,
"displayName": "is_robot_indexable",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "report_reasons",
"type": "string",
"display": true,
"required": false,
"displayName": "report_reasons",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "discussion_type",
"type": "string",
"display": true,
"required": false,
"displayName": "discussion_type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "num_comments",
"type": "string",
"display": true,
"required": false,
"displayName": "num_comments",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "send_replies",
"type": "string",
"display": true,
"required": false,
"displayName": "send_replies",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "contest_mode",
"type": "string",
"display": true,
"required": false,
"displayName": "contest_mode",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "mod_reports",
"type": "string",
"display": true,
"required": false,
"displayName": "mod_reports",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_patreon_flair",
"type": "string",
"display": true,
"required": false,
"displayName": "author_patreon_flair",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_flair_text_color",
"type": "string",
"display": true,
"required": false,
"displayName": "author_flair_text_color",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "stickied",
"type": "string",
"display": true,
"required": false,
"displayName": "stickied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "url",
"type": "string",
"display": true,
"required": false,
"displayName": "url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "subreddit_subscribers",
"type": "string",
"display": true,
"required": false,
"displayName": "subreddit_subscribers",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created_utc",
"type": "string",
"display": true,
"required": false,
"displayName": "created_utc",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "num_crossposts",
"type": "string",
"display": true,
"required": false,
"displayName": "num_crossposts",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "media",
"type": "string",
"display": true,
"required": false,
"displayName": "media",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_video",
"type": "string",
"display": true,
"required": false,
"displayName": "is_video",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "publishedAt",
"type": "string",
"display": true,
"required": false,
"displayName": "publishedAt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_gallery",
"type": "string",
"display": true,
"required": false,
"displayName": "is_gallery",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "media_metadata",
"type": "string",
"display": true,
"required": false,
"displayName": "media_metadata",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "gallery_data",
"type": "string",
"display": true,
"required": false,
"displayName": "gallery_data",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author_cakeday",
"type": "string",
"display": true,
"required": false,
"displayName": "author_cakeday",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "92a1b627-9167-4a3c-84d1-f62cfc8bd1b2",
"name": "Send Approval Email",
"type": "n8n-nodes-base.gmail",
"position": [
1824,
752
],
"parameters": {
"sendTo": "you@example.com",
"message": "=Social media post approval needed.\n\nHere are the proposed draft:\n\n--- Telegram ---\n{{ JSON.parse($json.output).posts.telegram }}\n\n---\nClick APPROVE to publish all three, or DECLINE to ask the agent to regenerate from a different trending topic.\n",
"options": {
"limitWaitTime": {
"values": {
"resumeAmount": 3
}
}
},
"subject": "\ud83d\udea8Approval needed: Telegram post draft\ud83d\udea8",
"operation": "sendAndWait",
"approvalOptions": {
"values": {
"approvalType": "double"
}
}
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "bc6082de-59e3-474a-9579-ffe5abb2260c",
"name": "Is Content Approved?",
"type": "n8n-nodes-base.if",
"position": [
2048,
880
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "approval-check-0001",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.data?.approved ?? $json.approved ?? false }}",
"rightValue": true
}
]
}
},
"typeVersion": 2.2
},
{
"id": "31719cb2-dbff-4f1b-bdf8-4eb330b2d0e1",
"name": "Feedback for decline",
"type": "n8n-nodes-base.set",
"position": [
1648,
1184
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={\n \"feedback\": \"Reviewer declined the previous draft. Pick a DIFFERENT story from the candidates list below - do not repeat the previously chosen one.\",\n \"previously_chosen\": {{ JSON.stringify($('Score & Compose').item.json.winner) }},\n \"candidates\": {{ JSON.stringify($('Score & Compose').item.json.candidates) }},\n \"winner\": {{ JSON.stringify($('Score & Compose').item.json.winner) }}\n}\n"
},
"typeVersion": 3.4
},
{
"id": "e4cfe77b-4f01-4d94-8e15-9665a0e33062",
"name": "Fetch Reddit Posts",
"type": "n8n-nodes-base.reddit",
"onError": "continueErrorOutput",
"position": [
-448,
352
],
"parameters": {
"limit": 25,
"filters": {
"category": "top"
},
"operation": "getAll",
"subreddit": "={{ $json.subreddits || 'AI_Agents+OpenAI+MachineLearning+ArtificialIntelligence' }}"
},
"credentials": {
"redditOAuth2Api": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"retryOnFail": true,
"typeVersion": 1,
"alwaysOutputData": false
},
{
"id": "9ea088f7-4de7-459f-bc44-b9b3a088e7ea",
"name": "Post to Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
2864,
608
],
"parameters": {
"text": "={{ JSON.parse($('Social Posts Generator').item.json.output).posts.telegram.replace(/[\\*_`\\[\\]()~>+=|{}!\\\\]/g, '').replace(/\\s*#\\w+/g, '').replace(/\\s+$/, '') }}",
"chatId": "@your_telegram_channel",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "f894adcb-576f-45e4-893c-da8b0adc8ecb",
"name": "Log Telegram Post",
"type": "n8n-nodes-base.googleSheets",
"position": [
3296,
608
],
"parameters": {
"columns": {
"value": {
"URL": "=https://t.me/{{ $json.result.chat.username }}/{{ $json.result.message_id }}",
"Date ": "={{ DateTime.fromSeconds($json.result.date).setZone('Europe/Rome').toFormat('dd/MM/yyyy HH:mm') }}",
"Text ": "={{ $json.result.text }}",
"Channel ": "={{ '@' + $json.result.chat.username }}"
},
"schema": [
{
"id": "Date ",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Date ",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Channel ",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Channel ",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Text ",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Text ",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "URL",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.7,
"alwaysOutputData": true
},
{
"id": "a3ab899a-5ff8-4183-904a-0cd78289d965",
"name": "Sticky Note 0001",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2448,
240
],
"parameters": {
"color": 7,
"width": 1400,
"height": 700,
"content": "## Reddit -> Telegram AI content pipeline\n\nAuto-generate platform-specific posts for Telegram from the top Reddit content, on a weekly schedule, with a human approval step before anything goes live.\n\n### Pipeline\n1. Weekly cron fires -> Reddit node fetches top posts from your chosen subreddits\n2. Posts are normalised and deduplicated by URL + title\n3. A scoring step picks the strongest candidate based on `ups x upvote_ratio`\n4. GPT-4 writes three platform-specific drafts in one call (Telegram 2-3 sentences)\n5. All three drafts are emailed to you for **APPROVE / DECLINE**\n6. On APPROVE: the Gate node fans out to Telegram. Each result is logged to its own Google Sheet tab\n7. On DECLINE: the agent retries with reviewer feedback and picks a different story\n\n### Credentials required\n- **Reddit OAuth2** - to fetch subreddit posts\n- **OpenAI API** - for GPT-4.1-mini (swap to any model you like)\n- **Gmail OAuth2** - to send the approval email\n- **Telegram Bot API** - to send to a channel your bot is admin of\n- **Google Sheets OAuth2** - for the four log tabs\n\n### Setup (15-20 min)\n1. Connect the seven credentials above\n2. In **Fetch Reddit Posts**, edit the default subreddit list to match your niche\n3. In **Send Approval Email**, set `sendTo` to your own email address\n4. In **Post to Telegram**, replace `@your_telegram_channel` with your channel handle (your bot must be an admin)\n5. In Google Sheets nodes, select your spreadsheet and the right tabs (see the \"Sheet schema\" sticky note)\n6. Optional: tweak the GPT prompt in **Social Posts Generator** to match your voice\n7. Activate and wait for the weekly run (or execute manually to test)\n"
},
"typeVersion": 1
},
{
"id": "cc70bb44-dc96-4f46-a540-d3941acbac06",
"name": "Sticky Note 0002",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1008,
144
],
"parameters": {
"color": 4,
"width": 200,
"height": 172,
"content": "## Step 1 - Trigger\n\nWeekly cron, Mondays at 10:00. Change the schedule to whatever fits your posting cadence."
},
"typeVersion": 1
},
{
"id": "c0fa4d6d-1dff-40c2-8f65-6a9467aa965b",
"name": "Sticky Note 0003",
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
32
],
"parameters": {
"color": 3,
"height": 292,
"content": "## Step 2 - Fetch Reddit\n\nPulls the top posts from a `+`-separated list of subreddits. Default list is AI-themed; edit it in the node to match your niche.\n\nThe Reddit node needs an OAuth2 Reddit credential (create one in your Reddit account's \"prefs/apps\" page)."
},
"typeVersion": 1
},
{
"id": "c84a5c69-bde1-42f5-ac81-fbae2f529a72",
"name": "Sticky Note 0004",
"type": "n8n-nodes-base.stickyNote",
"position": [
112,
0
],
"parameters": {
"color": 5,
"width": 260,
"height": 356,
"content": "## Step 3 - Normalise & deduplicate\n\n**Normalized Fields** builds a consistent `{url, title, publishedAt}` shape while preserving Reddit-specific fields (`ups`, `upvote_ratio`, `num_comments`).\n\n**Deduplicate (url -> title)** drops duplicate posts - first by normalised URL, then by lowercase title."
},
"typeVersion": 1
},
{
"id": "9a18679c-d565-4cfe-9406-22be69f66ad7",
"name": "Sticky Note 0005",
"type": "n8n-nodes-base.stickyNote",
"position": [
896,
320
],
"parameters": {
"color": 6,
"width": 260,
"height": 208,
"content": "## Step 4 - Score & pick a winner\n\nRanks candidates by `ups x upvote_ratio` and passes both the winner and the top-10 candidates onward so the AI can choose if you want.\n\n\n"
},
"typeVersion": 1
},
{
"id": "67b176f0-d808-417e-9403-b59618dc0909",
"name": "Sticky Note 0006",
"type": "n8n-nodes-base.stickyNote",
"position": [
1296,
304
],
"parameters": {
"color": 4,
"width": 300,
"height": 240,
"content": "## Step 5 - GPT writes Telegram posts\n\n**OpenAI Chat Model** (gpt-4.1-mini by default) drives **Social Posts Generator**.\n\n\nEdit the system prompt inside the agent node to match your tone, hashtags, and audience per platform."
},
"typeVersion": 1
},
{
"id": "6bd5b9bd-2d11-4941-9468-59a8a1c378db",
"name": "Sticky Note 0007",
"type": "n8n-nodes-base.stickyNote",
"position": [
1968,
224
],
"parameters": {
"color": 5,
"width": 300,
"height": 300,
"content": "## Step 6 - Human approval (Gmail)\n\nSends you an email with all three drafts and APPROVE / DECLINE buttons (sendAndWait with double-confirm).\n\n- **APPROVE** -> Gate on Approval fires -> fan-out to Telegram\n- **DECLINE** -> Feedback node injects `feedback` into a new agent run so the AI picks a different topic\n\nSet `sendTo` in the node to your real address before activating."
},
"typeVersion": 1
},
{
"id": "00685d04-4e09-49ac-bec8-fd59ffdcfd45",
"name": "Sticky Note 0008",
"type": "n8n-nodes-base.stickyNote",
"position": [
2736,
224
],
"parameters": {
"color": 3,
"width": 320,
"height": 300,
"content": "## Step 7 - Post to Telegram platform+ log\n\n**Gate on Approval** fans out to three branches that run in parallel:\n\n- **Post to Telegram** -> Log Telegram Post. Your Telegram bot must be an admin of the target channel; set the channel handle in the node."
},
"typeVersion": 1
},
{
"id": "f92efef2-be3a-45f8-be1f-9ae613bdc16d",
"name": "Sticky Note 0009",
"type": "n8n-nodes-base.stickyNote",
"position": [
3248,
208
],
"parameters": {
"color": 6,
"width": 340,
"height": 300,
"content": "## Sheet schema\n\nCreate ONE Google Sheet with four tabs:\n\n### Tab 1 - Fetched Reddit posts\nColumns: `subreddit`, `title`, `selftext`, `permalink`, `ups`, `upvote_ratio`\n\n\n### Tab 2 - Telegram log\nColumns: `Date` , `Channel` , `Text` , `URL`\n\nAfter importing, open each of the 2 Google Sheets nodes and pick the spreadsheet + the matching tab."
},
"typeVersion": 1
},
{
"id": "332fcee6-f998-4941-84f1-1f1a4c092bc0",
"name": "Shape Reddit Log Row",
"type": "n8n-nodes-base.set",
"position": [
512,
816
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={\n \"subreddit\": \"{{ $json.subreddit || '' }}\",\n \"title\": \"{{ ($json.title || '').replace(/\\\"/g, \"'\") }}\",\n \"selftext\": \"{{ ($json.selftext || '').toString().slice(0, 500).replace(/\\\"/g, \"'\") }}\",\n \"permalink\": \"{{ $json.permalink ? 'https://www.reddit.com' + $json.permalink : ($json.url || '') }}\",\n \"ups\": {{ Number($json.ups) || 0 }},\n \"upvote_ratio\": {{ Number($json.upvote_ratio) || 0 }}\n}"
},
"typeVersion": 3.4
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "",
"connections": {
"Score & Compose": {
"main": [
[
{
"node": "Social Posts Generator",
"type": "main",
"index": 0
}
]
]
},
"Trigger - Cron1": {
"main": [
[
{
"node": "Fetch Reddit Posts",
"type": "main",
"index": 0
}
]
]
},
"Post to Telegram": {
"main": [
[
{
"node": "Log Telegram Post",
"type": "main",
"index": 0
}
]
]
},
"Normalized Fields": {
"main": [
[
{
"node": "Deduplicate (url \u2192 title)",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Social Posts Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Fetch Reddit Posts": {
"main": [
[
{
"node": "Normalized Fields",
"type": "main",
"index": 0
}
]
]
},
"Send Approval Email": {
"main": [
[
{
"node": "Is Content Approved?",
"type": "main",
"index": 0
}
]
]
},
"Feedback for decline": {
"main": [
[
{
"node": "Social Posts Generator",
"type": "main",
"index": 0
}
]
]
},
"Is Content Approved?": {
"main": [
[
{
"node": "Post to Telegram",
"type": "main",
"index": 0
}
],
[
{
"node": "Feedback for decline",
"type": "main",
"index": 0
}
]
]
},
"Shape Reddit Log Row": {
"main": [
[
{
"node": "Log Fetched Reddit Posts",
"type": "main",
"index": 0
}
]
]
},
"Social Posts Generator": {
"main": [
[
{
"node": "Send Approval Email",
"type": "main",
"index": 0
}
]
]
},
"Deduplicate (url \u2192 title)": {
"main": [
[
{
"node": "Score & Compose",
"type": "main",
"index": 0
},
{
"node": "Shape Reddit Log Row",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
gmailOAuth2googleSheetsOAuth2ApiopenAiApiredditOAuth2ApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
A weekly cron triggers the flow The Reddit node fetches top posts from a -separated list of subreddits you define A code node normalises each item into while preserving Reddit-specific fields like , , and A deduplication step drops repeats by normalised URL and then by title A…
Source: https://n8n.io/workflows/15187/ — original creator credit. Request a take-down →
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//ASMR AI Workflow
HTTP Request, Tool Think, OpenAI Chat +6
Workflow Created By: Abdullah Dilshad 📧 iamabdullahdishad@gmail.com
HTTP Request, Agent, OpenAI Chat +4
A next-generation AI-powered DeFi health monitor that tracks wallet positions across Aave V3 using GPT-4o and LangChain. It delivers human-readable reports via Telegram and Gmail, triggered on schedul
Telegram, OpenAI Chat, HTTP Request Tool +3
This n8n automation workflow automates the creation, scripting, production, and posting of YouTube videos. It leverages AI (OpenAI), image generation (PIAPI), video rendering (Shotstack), and platform
Agent, OpenAI Chat, Airtable Tool +7