Marco Venturi This workflow corresponds to n8n.io template #16598 — we link there as the canonical source.
This workflow follows the Agent → Form Trigger 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": "OcCtnHxSp53PVvYz",
"name": "Transcript_assistant",
"tags": [],
"nodes": [
{
"id": "7149568c-e6da-45f9-aced-41f6d03b7f4a",
"name": "Setup Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-496,
-192
],
"parameters": {
"width": 448,
"height": 724,
"content": "## \ud83d\udcdd Post-Call Glossary \u2014 Setup\n\n**How it works:**\nAfter a meeting, feed in the full transcript/minutes (manually via the form, or automatically via webhook from your transcription tool). The Agent scans the whole text and extracts ALL technical terms/acronyms it finds, then sends you a single Telegram message with the full glossary \u2014 or a short \"nothing to add\" message if no relevant terms are found.\n\n**Two ways to trigger:**\n1. **Form** \u2014 open the form URL, paste the transcript, submit. Good for manual review.\n2. **Webhook** \u2014 POST `{ \"transcript\": \"...\", \"sessionId\": \"optional\" }` to the webhook URL. Good for connecting Otter/Fireflies/Recall.ai or a Drive-based automation.\n\n**Required setup:**\n1. Anthropic (or any other LLM) credentials on the Chat Model node\n2. Telegram Bot credentials on both Telegram nodes + your chat_id\n\n**Note:** both triggers wire directly into the same Agent \u2014 a single execution only ever comes from one trigger at a time, so no merge step is needed."
},
"typeVersion": 1
},
{
"id": "60480a9e-2663-4ff7-897e-9ce66d3105b7",
"name": "Section: Inputs",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
-192
],
"parameters": {
"width": 412,
"height": 836,
"content": "### 1\ufe0f\u20e3 Inputs\n\nTwo independent entry points, normalized into the same shape (`transcript`, `sessionId`) before reaching the Agent:\n\n- **Form**: for pasting a transcript by hand right after a call.\n- **Webhook**: for wiring up an automated transcription tool.\n\nOnly one trigger fires per execution \u2014 there's no merge step, both \"Normalize\" nodes feed the Agent directly."
},
"typeVersion": 1
},
{
"id": "603bf48e-736f-4131-954f-464506cbe1df",
"name": "Form: Paste Transcript",
"type": "n8n-nodes-base.formTrigger",
"position": [
48,
288
],
"parameters": {
"options": {},
"formTitle": "Post-Call Glossary Extractor",
"formFields": {
"values": [
{
"fieldType": "textarea",
"fieldLabel": "Transcript",
"requiredField": true
},
{
"fieldLabel": "Session ID (optional)"
}
]
},
"formDescription": "Paste the meeting transcript/minutes below to extract a glossary of technical terms."
},
"typeVersion": 2.2
},
{
"id": "898cfe95-da49-42d5-9925-fc30d4eb3c01",
"name": "Webhook: Receive Transcript",
"type": "n8n-nodes-base.webhook",
"position": [
48,
480
],
"parameters": {
"path": "post-call-glossary",
"options": {
"rawBody": true
},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "51b8b51d-02c2-4380-815e-b58bf5bdb0c7",
"name": "Normalize: Form Input",
"type": "n8n-nodes-base.set",
"position": [
272,
288
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "assign-transcript",
"name": "transcript",
"type": "string",
"value": "={{ $json.transcript }}"
},
{
"id": "assign-session",
"name": "sessionId",
"type": "string",
"value": "={{ $json.sessionId || 'form-session' }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f63ac55f-616b-4d2d-a9f2-e757973a2e53",
"name": "Normalize: Webhook Input",
"type": "n8n-nodes-base.set",
"position": [
272,
480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "assign-transcript-wh",
"name": "transcript",
"type": "string",
"value": "={{ $json.body.transcript }}"
},
{
"id": "assign-session-wh",
"name": "sessionId",
"type": "string",
"value": "={{ $json.body.sessionId }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e6d9c7ee-8da3-4ac0-b6d1-8d8afb4b8833",
"name": "Section: AI Extraction",
"type": "n8n-nodes-base.stickyNote",
"position": [
464,
16
],
"parameters": {
"width": 516,
"height": 736,
"content": "### 2\ufe0f\u20e3 AI Extraction\n\nThe Agent reads the full transcript in one pass and returns a strict JSON block listing every distinct technical term/acronym found, each with a short definition. No streaming, no chunking \u2014 full context in, full glossary out.\n\nSwap the Chat Model node for any provider you like; only the Agent's system prompt matters for output format."
},
"typeVersion": 1
},
{
"id": "628e2a8f-6844-4a99-9e19-257219109fb4",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
496,
384
],
"parameters": {
"text": "={{ $json.transcript }}",
"options": {
"systemMessage": "You are an assistant that reviews meeting transcripts/minutes after the call has ended. Read the ENTIRE text provided by the user and identify ALL technical concepts, complex acronyms, or methodologies mentioned (e.g. 'Confusion matrix', 'EBITDA', 'SLA').\n\nRules:\n1. ALWAYS respond ONLY with a valid JSON object wrapped in a markdown code block.\n2. The structure must always be:\n```json\n{\n \"found\": true or false,\n \"terms\": [\n { \"term\": \"Term name\", \"definition\": \"Concise definition (max 25 words)\" }\n ]\n}\n```\n3. If you find one or more relevant terms, set \"found\": true and list every distinct term once in \"terms\" (no duplicates, even if mentioned multiple times in the text).\n4. If you find NO relevant terms, respond with `{ \"found\": false, \"terms\": [] }`.\n5. Do not add any explanation or text outside the json block."
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "0ab46341-eee6-4464-9aff-7b15fc7c96de",
"name": "Section: Output Routing",
"type": "n8n-nodes-base.stickyNote",
"position": [
1056,
-96
],
"parameters": {
"width": 592,
"height": 736,
"content": "### 3\ufe0f\u20e3 Output Routing\n\nThe raw Agent output is parsed into structured JSON, then routed:\n\n- **Terms found** \u2192 formatted into one numbered glossary message and forwarded to Telegram\n- **Nothing relevant** \u2192 a short \"nothing to add\" Telegram message instead\n\nEither way, you get a Telegram notification confirming the review happened."
},
"typeVersion": 1
},
{
"id": "d803108f-b76b-42a3-9dcc-8df8faedf81f",
"name": "Extract JSON",
"type": "n8n-nodes-base.code",
"position": [
848,
384
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const text = $input.item.json.output || '';\nconst match = text.match(/```json\\s*([\\s\\S]*?)\\s*```/);\n\nif (match) {\n try {\n const parsed = JSON.parse(match[1].trim());\n if (!Array.isArray(parsed.terms)) parsed.terms = [];\n return { json: parsed };\n } catch (e) {\n return { json: { found: false, terms: [], error: 'Parsing error: ' + e.message, raw: text } };\n }\n}\n\nreturn { json: { found: false, terms: [], error: 'No JSON block found', raw: text } };"
},
"typeVersion": 2
},
{
"id": "87439025-10a8-455e-9828-3d05793282d2",
"name": "Any Terms Found?",
"type": "n8n-nodes-base.if",
"position": [
1072,
384
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bfa86fa7-c104-44b4-8db6-bdc56dfa2839",
"operator": {
"type": "boolean",
"operation": "equals"
},
"leftValue": "={{ $json.found }}",
"rightValue": true
}
]
}
},
"typeVersion": 2.2
},
{
"id": "93bbfe86-a545-471c-864b-553f2de11b0d",
"name": "Format Glossary Message",
"type": "n8n-nodes-base.code",
"position": [
1296,
288
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const terms = $input.item.json.terms || [];\n\nconst lines = terms.map((t, i) => `${i + 1}. *${t.term}*\\n ${t.definition}`);\n\nconst message = `\ud83d\udcda *Post-Call Glossary*\\n_${terms.length} term${terms.length === 1 ? '' : 's'} found_\\n\\n${lines.join('\\n\\n')}`;\n\nreturn { json: { message } };"
},
"typeVersion": 2
},
{
"id": "ac4798f6-3165-49ad-8eaa-f8de7bb509ac",
"name": "Anthropic Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
576,
608
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-6",
"cachedResultName": "Claude Sonnet 4.6"
},
"options": {}
},
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.5
},
{
"id": "ad1b61fc-b6de-4880-a1a5-369d83b94243",
"name": "OK - Send to Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
1520,
288
],
"parameters": {
"text": "={{ $json.message }}",
"chatId": "<CHAT_ID>",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "cbfd0892-0b3b-4480-a27c-14562271b004",
"name": "KO - Send to Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
1296,
480
],
"parameters": {
"text": "=Nothing to add ",
"chatId": "<CHAT_ID>",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "7a50129a-5727-4143-abc5-7ce88992b6bd",
"nodeGroups": [],
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Extract JSON",
"type": "main",
"index": 0
}
]
]
},
"Extract JSON": {
"main": [
[
{
"node": "Any Terms Found?",
"type": "main",
"index": 0
}
]
]
},
"Any Terms Found?": {
"main": [
[
{
"node": "Format Glossary Message",
"type": "main",
"index": 0
}
],
[
{
"node": "KO - Send to Telegram",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Normalize: Form Input": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Form: Paste Transcript": {
"main": [
[
{
"node": "Normalize: Form Input",
"type": "main",
"index": 0
}
]
]
},
"Format Glossary Message": {
"main": [
[
{
"node": "OK - Send to Telegram",
"type": "main",
"index": 0
}
]
]
},
"Normalize: Webhook Input": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Webhook: Receive Transcript": {
"main": [
[
{
"node": "Normalize: Webhook Input",
"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.
anthropicApitelegramApi
Pro
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About this workflow
This workflow accepts a meeting transcript via an n8n form or webhook, uses Anthropic Claude to extract technical terms and acronyms into a JSON glossary, and then sends either the formatted glossary or a “nothing to add” confirmation to Telegram. Receives a transcript either…
Source: https://n8n.io/workflows/16598/ — original creator credit. Request a take-down →
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