n8n Templates - AI-Powered Workflow Library

Create and publish AI videos from Telegram with VEED and Blotato

Create & Publish AI Videos from Telegram Chat with VEED and Blotato Overview This n8n workflow creates a conversational AI video agent accessible through Telegram. Users chat with a bot to request AI-generated talking-head videos using VEED's MCP tools, then optionally publish to 9 social media platforms via Blotato with a single approval tap. Output: AI-generated talking-head videos delivered in Telegram and published to TikTok, YouTube, Instagram, LinkedIn, Facebook, X, Threads, Bluesky, and Pinterest. What It Does User Message (Telegram) → AI Agent → VEED MCP tools create video → Response sent via Telegram ↕ Memory ↓ (if video URL detected) Approval prompt (Approve/Reject) ↓ Approved Upload to Blotato → Publish to 9 platforms in parallel ↓ Merge results → Summary sent via Telegram Flow Breakdown | Step | Component | What Happens | |------|-----------|--------------| | 1. Message Received | 📩 Telegram Trigger | User sends a text message to the bot | | 2. AI Processing | 🤖 AI Video Agent (gpt-5-nano) | Interprets request, decides which VEED tools to use | | 3. Context Retention | 💾 Conversation Memory | Maintains conversation history per chat (20-message window) | | 4. Video Creation | 🎬 VEED MCP Tools | Lists characters/voices, confirms details, creates video via VEED Fabric | | 5. Response Delivery | 📤 Send Agent Response | Sends agent text back to user in Telegram | | 6. URL Extraction | 📋 Extract Video URL | Detects the VIDEO_READY: marker in agent output | | 7. Approval Prompt | 📩 Publish to Social Media? | Telegram sendAndWait with Approve/Reject buttons (24h timeout) | | 8. Upload | 📤 Upload Video to Blotato | Uploads video file to Blotato CDN, returns hosted URL | | 9. Publish | TikTok, YouTube, Instagram, LinkedIn, Facebook, X, Threads, Bluesky, Pinterest | All 9 platform nodes post in parallel using the Blotato URL | | 10. Summary | 📤 Send Publish Summary | Confirms publication back to user in Telegram | Required Connections n8n Credentials | Node | Credential Type | Where to Get | |------|-----------------|--------------| | 📩 Telegram Trigger | Telegram Bot API | Create bot via @BotFather in Telegram | | 🧠 OpenAI Chat Model | OpenAI API Key | https://platform.openai.com/api-keys | | 🎬 VEED MCP Tools | MCP OAuth2 | Your VEED OAuth2 client credentials | | 📤 Send Agent Response | Telegram Bot API | Same bot token as trigger | | 📩 Publish to Social Media? | Telegram Bot API | Same bot token as trigger | | 📤 Upload Video to Blotato | Blotato API | https://my.blotato.com/settings → API | | TikTok / YouTube / Instagram / ... | Blotato API | Same Blotato credential as upload | Community Node Required Install @blotato/n8n-nodes-blotato via Settings → Community Nodes → Install in n8n. Configuration Options AI Agent System Prompt The AI Agent's behavior is defined by its system prompt. Edit the 🤖 AI Video Agent node to customize: You are a friendly AI video creation assistant powered by VEED. You help users create professional talking-head videos with AI avatars through Telegram. Video Creation Flow: Understand their need - Ask what video they want Choose a character - Show available AI avatars Choose a voice - Ask preferred language/locale Confirm details - Summarize before creating Create the video - Generate with confirmed parameters Track progress - Poll generation status Deliver result - Share the video URL with VIDEO_READY: marker Agent Configuration | Field | Default | Description | |-------|---------|-------------| | Model | gpt-5-nano | OpenAI model used for reasoning | | Max Iterations | 15 | Maximum tool-calling rounds per message | | Memory Window | 20 messages | How many past messages the agent remembers | | Session Key | {{ $json.message.chat.id }} | Isolates memory per Telegram chat | Available VEED MCP Tools | Tool | Required Parameters | Description | |------|---------------------|-------------| | list_workspaces | — | Show available workspaces | | list_characters | — (optional: gender) | Browse AI avatar characters | | list_voices | locale (e.g. "en") | Browse voices (optional: gender filter) | | confirm_fabric_video | script, voiceId, characterId | Preview video details before creating | | create_fabric_video | script, voiceId, characterId | Create a talking-head video (optional: aspectRatio) | | get_generation_status | jobId | Check video generation progress | | get_credit_balance | — | Check remaining VEED credits | Blotato Platform Configuration Each platform node needs its accountId configured (select from dropdown after connecting Blotato credentials): | Platform | Extra Configuration | |----------|-------------------| | TikTok | — | | YouTube | Title, privacy status (private by default), notify subscribers | | Instagram | — | | LinkedIn | — | | Facebook | Page ID (select from dropdown) | | Twitter / X | — | | Threads | — | | Bluesky | — | | Pinterest | Board ID | Disable any platform node you don't use. Caption Configuration Edit the ⚙️ Set Caption node to customize what gets posted: caption: defaults to first 200 characters of the agent's response video_url: automatically extracted from the VIDEO_READY: marker Conversation Examples | User Says | Agent Does | |-----------|-----------| | "Hi, what can you do?" | Introduces itself and explains video creation capabilities | | "Create a video about AI trends" | Asks about character/voice preferences, then guides through creation flow | | "Show me available characters" | Calls list_characters, formats results for easy selection | | "Use a female English voice" | Calls list_voices with locale "en" and gender filter, shows options | | "Yes, create it!" | Calls create_fabric_video, then immediately checks get_generation_status | | "Is my video ready?" | Calls get_generation_status with the last jobId from memory | | Taps "Approve" | Video uploads to Blotato, publishes to all 9 platforms, summary sent | | Taps "Reject" | "No problem! Your video won't be published to social media." | Output Per Video Generated | Asset | Format | Delivered Via | |-------|--------|---------------| | Video URL | VEED hosted MP4 link | Telegram message | | Approval prompt | Approve/Reject buttons | Telegram sendAndWait | | Social media posts | Video + caption | TikTok, YouTube, Instagram, LinkedIn, Facebook, X, Threads, Bluesky, Pinterest | | Publish summary | Text confirmation | Telegram message | Estimated Costs Per Video | Service | Usage | Approximate Cost | |---------|-------|------------------| | OpenAI gpt-5-nano | 1-3K tokens per conversation turn | $0.005-0.02 | | VEED Fabric | 1 video render (8 credits/sec) | $0.10-0.20 | | Blotato | Media upload + 9 platform posts | Included in paid plan | | Telegram Bot API | Messages | Free | | Total | | ~$0.10-0.25 per video | > Costs vary based on conversation length, video duration, and current API pricing. Setup Checklist Step 1: Import Workflow [ ] Import create-and-publish-ai-videos-from-telegram-chat-with-veed-and-blotato.json into n8n Step 2: Install Blotato Community Node [ ] Go to Settings → Community Nodes → Install [ ] Enter @blotato/n8n-nodes-blotato and install Step 3: Create Telegram Bot [ ] Open Telegram and message @BotFather [ ] Send /newbot and follow the prompts to create your bot [ ] Copy the bot token provided by BotFather Step 4: Configure n8n Credentials [ ] Click on 📩 Telegram Trigger node → Add Telegram Bot credential with your token [ ] Click on 🧠 OpenAI Chat Model node → Add OpenAI API Key credential [ ] Click on 🎬 VEED MCP Tools node → Add MCP OAuth2 credential with your VEED OAuth2 client credentials [ ] Click on 📤 Send Agent Response node → Select the same Telegram Bot credential [ ] Click on 📩 Publish to Social Media? node → Select the same Telegram Bot credential [ ] Click on 📤 Upload Video to Blotato node → Add Blotato API credential (from blotato.com settings) Step 5: Configure Blotato Platforms [ ] Open each platform node (TikTok, YouTube, Instagram, etc.) [ ] Select your connected account from the accountId dropdown [ ] For YouTube: set title and privacy preferences [ ] For Facebook: select your Page from the dropdown [ ] For Pinterest: set Board ID [ ] Disable any platform nodes you don't need Step 6: Activate & Test [ ] Activate the workflow by clicking Publish and toggling it active [ ] Send a test message to your bot in Telegram (e.g., "Hi, what can you do?") [ ] Verify the bot responds with its capabilities [ ] Create a video and test the full flow including the approval prompt [ ] Approve publishing and verify posts appear on your social accounts Limitations & Notes Technical Limitations Telegram activation**: The workflow must be published and active — simply executing it is not enough for the Telegram trigger to receive messages. Memory window**: Only the last 20 messages are retained per conversation. Older context is lost. VEED processing**: Video generation takes 1-5 minutes. The agent reports status but the user must wait. Concurrent users**: Multiple users are supported — each Telegram chat gets independent conversation memory keyed by chat.id. Approval timeout**: The publish prompt expires after 24 hours if not answered. VIDEO_READY marker**: The agent must include VIDEO_READY: <url> in its response for the publishing flow to trigger. This is enforced via the system prompt. Blotato paid plan**: API access requires a paid Blotato subscription. Content Considerations The AI agent autonomously decides which VEED tools to use based on the user's request Users can request specific characters, voices, and scripts through natural conversation The agent cannot edit or modify videos after creation Video output depends on available VEED characters and voices Each second of generated video costs approximately 8 VEED credits Published captions default to the first 200 characters of the agent's response — edit the ⚙️ Set Caption node to customize Best Practices Set bot commands: Use @BotFather's /setcommands to add help commands for your users Test with simple requests first: Start with "list available characters" before attempting full video creation Monitor token usage: Longer conversations consume more OpenAI tokens per turn Customize the system prompt: Tailor the agent's persona, default locale, and guidelines to your use case Disable unused platforms: Disable platform nodes you haven't connected to avoid errors YouTube defaults to private: Videos are published as private by default — change in the YouTube node if needed Troubleshooting | Issue | Solution | |-------|----------| | Bot not responding | Ensure workflow is published and active, not just executed manually | | "Unauthorized" from Telegram | Verify bot token is correct in n8n Telegram credential | | VEED MCP connection failed | Re-authorize the VEED OAuth2 credential in n8n | | Agent doesn't use VEED tools | Verify 🎬 VEED MCP Tools node is connected to the AI Agent node | | Memory not working across messages | Confirm session key expression {{ $('📩 Telegram Trigger').item.json.message.chat.id }} is correct | | Video generation timeout | VEED processing can take up to 5 minutes — agent should poll get_generation_status | | "Model not found" error | Verify OpenAI API key has access to gpt-5-nano model | | No approval prompt after video | Check the agent includes VIDEO_READY: marker — verify system prompt is intact | | Blotato upload fails | Verify Blotato API credential is valid and plan is active | | Platform publish fails | Ensure accountId is configured in the failing platform node | | "Can't parse entities" error | The Send Agent Response node should have no parse_mode set (plain text) | | Blotato node not found | Install @blotato/n8n-nodes-blotato via Settings → Community Nodes | Version History | Version | Date | Changes | |---------|------|---------| | 1.0 | Mar 2026 | Initial release with Telegram bot, AI Agent, VEED MCP integration, conversation memory | | 2.0 | Apr 2026 | Added Blotato multiplatform publishing (9 platforms), Telegram approval flow, video URL extraction, caption configuration | Credits Built with: n8n** - Workflow automation OpenAI** - AI agent reasoning (gpt-5-nano) VEED** - AI video generation (via MCP) Blotato** - Multiplatform social media publishing Telegram** - Chat interface & approval flow LangChain** - Agent framework and memory

IntermediateManual Trigger

0

by VEED

Compare product prices from Amazon, Walmart and Google Shopping via Telegram using OpenAI

Send a product name to Telegram, compare offers across Amazon, Walmart, and Google Shopping, and get the best sensible buying recommendation with confidence level, price range, and a direct purchase link. What this template does This template transforms Telegram into a smart product price comparison tool. Once a user sends a product name, the workflow simultaneously searches Amazon, Walmart, and Google Shopping, standardizes all results into a unified format, and delivers the most practical buying recommendation. Rather than blindly picking the lowest price, an AI step filters out poor matches, suspiciously cheap listings, and mismatched product variants to ensure the recommendation is trustworthy. How it works A user sends a product name to the Telegram bot. The workflow queries Walmart, Amazon, and Google Shopping in parallel. Each marketplace response is cleaned and mapped into a consistent offer structure. All offers are merged and consolidated into a single dataset. An AI agent evaluates price, seller, reviews, and match quality to identify the best sensible offer. A Telegram message is sent back with the recommended price, seller, price range, offer count, confidence level, reasoning, and a direct purchase link. Requirements Before using this template, connect the following credentials: Telegram API OpenAI SerpApi You'll also need to add your own SerpApi key, review the marketplace query settings, and adjust or remove any fixed search location values as needed. Example input DJI Osmo Pocket 3 Creator Combo [file:73] Example output 🔎 DJI Osmo Pocket 3 (Creator Combo / Osmo Pocket 3 family) ✅ Best Price: $557.91 🏪 Seller: B&Z Legend 📊 Range: $6.85 - $1349.99 🧩 Comparable Offers: 69 🎯 Confidence: Medium 📝 Why this was chosen: Chosen the lowest sensible price among New/unspecified offers: B&Z Legend at $557.91. Much cheaper listings (< $200) appear anomalous or risky (very low prices, unclear sellers). There are lower open-box offers (e.g., $498.75) but they carry added risk; established retailers (Best Buy, Official DJI store, OE USA) list in the $569–$999 range if you prefer retailer security. 🔗 Link: https://www.walmart.com/ip/DJI-Osmo-Pocket-3-Creator-Combo-4K-120fps-Camera-1-CMOS-3-Axis-Stabilization-Face-Object-Tracking-Mic-Clear-Sound-Vlogging-Photography/10583721243?classType=VARIANT If no strong match is found, the workflow prompts the user to try a more specific product name. Good to know Results may vary depending on marketplace availability, search query quality, and regional settings. Using specific product names typically yields more accurate recommendations than broad or generic searches. More specific product names usually produce better recommendations than broad searches.

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Who’s it for This workflow is ideal for: Content creators producing daily historical or educational videos YouTube automation enthusiasts building AI-driven channels Educators sharing engaging historical facts in short-form video format Anyone creating an automated AI video pipeline with human approval How it works This workflow automates the full pipeline of generating and publishing historical videos: Triggers daily at 1 AM and initializes retry tracking (maximum 3 attempts) Fetches historical events for the current date and selects one randomly Uses Google Gemini to generate a cinematic text-to-video script Sends the prompt to fal.ai (Hunyuan LoRA) to generate a short video Polls the generation status every 30 seconds until the video is ready Downloads the generated video and sends it to Telegram with context Waits for manual approval via Telegram If approved → uploads the video to YouTube and sends a confirmation message If declined → retries with a new event (up to 3 attempts total) How to set up Import the workflow into n8n Configure your Telegram credentials Set your Telegram Chat ID using a variable or Set node (avoid hardcoding) Configure HTTP Header Auth credentials for fal.ai (API key required) Set up Google Gemini API credentials Connect your YouTube account using OAuth2 (Optional) Adjust the schedule time in the trigger node Activate the workflow Requirements n8n (cloud or self-hosted) fal.ai account and API key (for video generation) Google Gemini API access YouTube account with upload permissions Telegram account for approval notifications How to customize the workflow Adjust retry limits in the retry logic node Modify video parameters (resolution, frames, aspect ratio) in the fal.ai request Change the script style by editing the Gemini prompt Replace the historical events API with another content source Customize Telegram messages or approval flow

Intermediate

Generate AI document titles for Paperless-ngx with GPT-4o Mini

What it does This template automatically generates a professional, structured title for newly-ingested Paperless-ngx documents using AI (OpenAI GPT), then removes a processing tag to mark the document as handled. How it works A webhook fires when a document needs titling (e.g., from a Paperless post-consumption script) The document URL is validated, then the OCR text is fetched from the Paperless API All PII is scrubbed from the text using n8n's Guardrails node before sending to AI GPT generates a title using the format: [YYYY-MM-DD] - [Document Type] - [Subject] The specified processing tag is looked up and removed, then the document is updated Requirements An AI provider account, such as OpenAI, Anthropic, Gemini. As configured the template uses OpenAI, but any model should work. A running Paperless-ngx instance that has network accessibility to your n8n server How to use Needs to be set up in conjunction with a running Paperless-ngx instance. See Paperless-ngx instructions here Customization Edit the system message in the AI Agent node (Generate Document Name) to change the document naming convention and other guidelines Change the workflows on your Paperless-ngx instance to suit different needs.

BeginnerManual Trigger

Validate QR tickets in real time with Google Forms and Sheets

Automated QR Ticket Scanner & Validator This workflow is the perfect companion to the "Automated e-Ticket PDF Generator". It acts as a lightweight, automated check-in system for events. By pairing a simple Google Form with a mobile scanning app, it validates QR codes against your master database in real-time and logs the attendance status. How it works Trigger: The workflow triggers instantly when a new response is submitted to a Google Form (which acts as your QR code scanner input). Data Extraction: It isolates the scanned QR code string from the new Google Sheet row. Database Lookup: It cross-references the scanned code with your Master Participant Database in Google Sheets. Validation (Switch): A logic node checks if the scanned ticket exists and matches the database. Log Results: - VALID: If matched, it logs the participant's details into a "Scan Results" sheet with a "VALID" status. INVALID: If not matched, it logs the scanned code with an "INVALID" status, alerting you to an unregistered ticket. Field Setup (Pro-Tip) To make this work seamlessly at an actual event venue: Create a Google Form: Make a simple form with one short-answer text input for the QR code. Use "Scan to Web" App: Install the Scan to Web app (or a similar keyboard scanner app) on an Android smartphone. Scan Away: Open your Google Form link on the phone, tap the text input field, and use the app to scan the attendee's physical or digital QR code. The app will automatically type the code and submit the form, triggering this n8n workflow instantly! Requirements A Google Workspace account (Google Forms & Google Sheets). A basic understanding of mapping Google Sheets columns in n8n. An Android smartphone with the "Scan to Web" app installed for field scanning.

BeginnerManual Trigger

Secure AI agent webhook with HMAC, replay protection, and OpenAI GPT-5

⚠️ Disclaimer: > I am not a cybersecurity expert. This workflow was built through research and with the assistance of an LLM (Claude Opus 4.6). While it implements well-established security patterns (HMAC-SHA256, timing-safe comparison, replay protection, strict payload validation), please review the logic carefully and ensure it meets your own security requirements before deploying it in production. Who is this for? This template is for anyone exposing an n8n workflow via webhook and wanting to ensure that only authenticated, untampered requests are processed. What problem does this solve? Public webhooks are vulnerable by default. Without proper verification, anyone who discovers your URL can send forged requests, replay old ones, or inject unexpected parameters. While n8n's built-in Webhook authentication modes (Basic Auth, Header Auth, JWT) verify who is calling, they don't verify that the payload hasn't been altered, that the request is fresh, or that the data structure matches what you expect. This template adds those missing layers: Authentication** — Verifies the sender's identity through HMAC-SHA256 signature validation Integrity** — Ensures the payload hasn't been modified by signing the raw body byte-for-byte Replay protection** — Rejects requests with expired timestamps (configurable, default: 5 minutes) Payload sanitization** — Strict whitelist filtering blocks unauthorized fields before they reach your logic What this workflow does The workflow chains six security layers before any business logic runs: Webhook receives the request with Header Auth + Raw Body enabled to preserve the original payload Extract rawBody (Code node) decodes the binary into a UTF-8 string and extracts the security headers Crypto computes the HMAC-SHA256 signature of {timestamp}.{rawBody} using your HMAC secret Timing-Safe HMAC Check (Code node) validates the timestamp freshness and compares signatures using crypto.timingSafeEqual() Strict Payload Validation (Code node) parses the JSON, checks required fields, and rejects any unexpected keys AI Agent processes the prompt only after all checks pass Invalid requests are immediately rejected with 403 Forbidden (signature/timestamp failure) or 400 Bad Request (payload validation failure), with no response body to avoid leaking internal logic. Example use case The included example protects an AI Agent endpoint that expects a simple {"prompt": "..."} payload. But this is just a starting point — replace the AI Agent with any node and adapt the payload validation to your own schema. Common adaptations: CRM or SaaS event callbacks CRUD operations on a database Third-party API integrations Setup Prerequisites An n8n instance (Cloud or Self-hosted) A shared HMAC secret between the sender and this workflow — keep it safe and never expose it in workflow logs or execution data Going further This workflow is a solid starting point — it's more secure than a raw exposed webhook. However, it focuses on application-level security (authentication, integrity, replay protection, payload sanitization). For a production-grade setup, consider adding layers at the infrastructure level : Rate limiting** IP whitelisting** Reverse proxy hardening**

Convert LINE handwritten memo images to tagged, searchable notes with Gemini, Google Drive and Google Sheets

LINE AI Handwritten Memo OCR & Tag Search System This workflow converts handwritten memo images sent via LINE into structured, searchable knowledge using AI.Users simply send a handwritten memo photo. The workflow automatically performs OCR, summarizes the content, generates tags, and stores the results in Google Sheets.Images are archived in Google Drive, allowing easy access to the original memo later. Main Features • AI OCR for handwritten memo recognition • Automatic title and summary generation • Tag extraction for knowledge organization • Image archiving in Google Drive • Structured storage in Google Sheets • Tag-based memo search via LINE • Tag list generation for easy navigation User Commands (via LINE) Send an image → The memo is analyzed, summarized, tagged, and saved automatically. #タグ名 → Searches memos that contain the specified tag. #タグリスト → Displays all tags currently stored in the database. Workflow Steps Receive message from LINE via Webhook Validate message type (image or command) Save image to Google Drive Run AI OCR and generate structured JSON Parse and validate AI output safely Store memo data in Google Sheets Send completion message to the user If OCR fails, the user receives guidance to retake the photo. Stored Data Structure Each memo record includes: • Title • Summary • Tags • Timestamp • Link to the original image

IntermediateManual Trigger

Sync HubSpot and Linear customers daily using Snowflake data

HubSpot → Linear Customers Sync Keeps your Linear Customers list automatically in sync with HubSpot CRM data, using Snowflake as the data warehouse source. Runs on a daily schedule and handles both creates and updates — only touching records where ARR or seat count has actually changed. No unnecessary API calls. How it works A Schedule Trigger fires daily at a configurable time Snowflake is queried to retrieve all customer accounts with aggregated ARR and seat count from your CRM (e.g. Hubspot) product table All existing Linear Customers are fetched via cursor-based pagination (250 records/page) A matching step compares records using HubSpot COMPANY_ID as the Linear externalId, with a domain-based fallback for re-keyed accounts Unmatched companies are created as new Linear Customers Changed records (ARR or seats) are updated in Linear A Slack notification is sent for every sync action Setup Add your Snowflake credential and adapt the SQL query to your schema Connect your Linear API credential (requires Customer read + write permissions) Set up a Slack Bot credential and update the target channel in the Slack node Adjust the Schedule Trigger to your preferred sync time Notes The Limit Snowflake (Testing) node is disabled by default — enable it during testing to cap the number of Snowflake rows processed Matching uses externalIds (HubSpot company ID) first, then falls back to domains Only records with changed revenue or size values trigger a Linear update

BeginnerManual Trigger

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Create and publish AI videos from Telegram with VEED and Blotato

Create and publish AI videos from Telegram with VEED and Blotato

Compare product prices from Amazon, Walmart and Google Shopping via Telegram using OpenAI

Compare product prices from Amazon, Walmart and Google Shopping via Telegram using OpenAI

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Generate AI document titles for Paperless-ngx with GPT-4o Mini

Generate AI document titles for Paperless-ngx with GPT-4o Mini

Validate QR tickets in real time with Google Forms and Sheets

Validate QR tickets in real time with Google Forms and Sheets

Secure AI agent webhook with HMAC, replay protection, and OpenAI GPT-5

Secure AI agent webhook with HMAC, replay protection, and OpenAI GPT-5

Convert LINE handwritten memo images to tagged, searchable notes with Gemini, Google Drive and Google Sheets

Convert LINE handwritten memo images to tagged, searchable notes with Gemini, Google Drive and Google Sheets

Sync HubSpot and Linear customers daily using Snowflake data

Sync HubSpot and Linear customers daily using Snowflake data

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Create and publish AI videos from Telegram with VEED and Blotato

Create and publish AI videos from Telegram with VEED and Blotato

Compare product prices from Amazon, Walmart and Google Shopping via Telegram using OpenAI

Compare product prices from Amazon, Walmart and Google Shopping via Telegram using OpenAI

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Generate AI document titles for Paperless-ngx with GPT-4o Mini

Generate AI document titles for Paperless-ngx with GPT-4o Mini

Validate QR tickets in real time with Google Forms and Sheets

Validate QR tickets in real time with Google Forms and Sheets

Secure AI agent webhook with HMAC, replay protection, and OpenAI GPT-5

Secure AI agent webhook with HMAC, replay protection, and OpenAI GPT-5

Convert LINE handwritten memo images to tagged, searchable notes with Gemini, Google Drive and Google Sheets

Convert LINE handwritten memo images to tagged, searchable notes with Gemini, Google Drive and Google Sheets

Sync HubSpot and Linear customers daily using Snowflake data

Sync HubSpot and Linear customers daily using Snowflake data