Agentick AI
At Agentick AI we are passionate about building automation systems that drive efficiency and unlock scale for individuals and businesses. With a deep interest how n8n can power smarter decisions and reduce manual effort. We work solving real-world problems with structured automation, creating scalable solutions, and pushing the boundaries of what’s possible through N8N. Constantly learning, testing, and iterating.
Templates by Agentick AI
LinkedIn job hunting & outreach automation with Apify, Gemini AI, and Gmail
This n8n workflow automates the process of collecting job and decision-maker data, crafting AI-generated referral messages, and drafting them in Gmail—all using a combination of Apify, Google Sheets, LLMs, and email APIs. Use cases Auto-sourcing job postings from LinkedIn via Apify Identifying decision-makers at relevant companies Auto-drafting custom referral request messages using AI Exporting structured data to Google Sheets and drafting Gmail messages for outreach Good to know You can customize the filtering logic to target specific cities or companies. Message creation uses the Gemini 2.0 Flash model and LangChain’s output parser for structured messages. Email data is fetched using Anymailfinder, but can be replaced with other providers like Hunter.io. Gmail API drafts the message, but you need to enable Gmail API access from your Google Cloud console. How it works Trigger A Schedule Trigger runs the automation daily. Job Data Extraction Apify pulls job listings using a predefined actor. The HTTP response is split and structured using the Split Out node. Store Job Data Job listings are saved to a Google Sheet. The node maps key fields like title, company, location, and poster info. Decision-Maker Discovery Another Apify actor pulls decision-maker data from LinkedIn. This is split and filtered (e.g., by city or company name). Store Contacts Contact details (name, title, location, etc.) are appended to another Google Sheet (n8n-sheet). Message Generation A LLM Chain uses Gemini 2.0 Flash to generate short, custom LinkedIn messages. The message respects rules like tone, length (<100 words), and personalization. Parse & Merge AI Output The output is structured using Structured Output Parser and merged with contact data. Save Final Messages The final headline and body are stored back into Google Sheets (n8n-sheet). Email Discovery Get Email IDs node hits Anymailfinder API using the LinkedIn profile link. Draft in Gmail Using Gmail API, the message is drafted in your inbox with subject and body auto-filled. How to use Update Apify actor inputs to specify roles, companies, or locations. Replace the manual Schedule Trigger with a webhook or form input if desired. Update the Google Sheets document and sheet name in the relevant nodes. Add your Gmail and Anymailfinder credentials in n8n settings. Requirements Google Sheets API access Gmail API access Apify account Gemini API key (via Google AI Studio) Anymailfinder (or alternate email discovery API) Customizing this workflow This framework is highly modular. You can: Add more filters for company size, role, or hiring urgency Use alternate LLMs (OpenAI, Claude, etc.) Switch output channels (Slack, WhatsApp, etc.) Plug in different CRM tools for follow-ups
By Agentick AIAutomated invoice data extraction with LlamaParse, Gemini 2.5 & Google Sheets
This n8n template demonstrates how to automate invoice data extraction from PDF attachments received via Gmail. Using LlamaParse and Gemini LLM, this workflow parses structured fields like PO numbers, line items, tax amounts, and totals — and stores them neatly into a Google Sheet. Perfect for use cases such as: 💼 Finance teams managing vendor invoices 📊 Bookkeeping workflows 🔄 Automating monthly reconciliation Good to Know At the time of writing, LlamaParse and Gemini may involve API usage costs depending on your subscription tier. Check LlamaIndex Pricing and Gemini Pricing for updated info. LlamaParse provides Markdown-formatted parsed output which is then passed to an LLM for structured field extraction. Gemini models may be geo-restricted. If you encounter "model not found" errors, your region might not be supported. How it Works Trigger: Watches your Gmail for new emails with PDF attachments. Email Filter: Ensures we only parse fresh emails not already labeled as "invoice synced". LlamaParse Upload: Uploads the PDF to LlamaParse’s parsing endpoint. Status Polling: Periodically checks whether the parsing is complete. Download Markdown: Once ready, it fetches the parsed invoice in Markdown format. AI Parsing with Gemini: Sends the Markdown to Gemini LLM to extract structured JSON (like PO number, line items, taxes, etc.) using a predefined schema. Google Sheets Upload: Stores extracted data into a predefined spreadsheet. Labeling: Marks the email as “invoice synced” to avoid reprocessing. How to Use The trigger is based on Gmail, but you can replace this with a webhook or manual trigger for testing. Setup Instructions Gmail API Enable Gmail API in Google Cloud Console. Connect your Gmail account in n8n credentials. Allow read + modify access. Google Sheets Create a new Google Sheet with the following headers (row 1): Date | Vendor Name | Invoice Number | PO Number | Line Items | Subtotal | Tax | Total Amount Connect Google Sheets in n8n and paste the Sheet ID in the node. You can customise the google sheet basis your requirement. LlamaParse Get a LlamaIndex API Key from LlamaIndex. Use the LlamaParse upload and polling nodes to process your PDFs. Gemini (via Vertex AI) Set up Gemini access in GCP. Use the Gemini 2.5 Model. Construct a structured prompt to extract required fields. Labeling Create a Gmail label named "Invoice Synced" for tracking processed emails. Requirements Gmail account with API access LlamaParse (LlamaIndex) account with API Key Google Sheets API credentials Access to Gemini 2.5 model via Google Vertex AI Customising This Workflow This template is just the beginning. You can expand it to: Auto-generate invoices back to vendors Run duplicate checks before inserting into Sheets Integrate with accounting tools like Zoho, QuickBooks, or Tally Trigger Slack/Email notifications on specific vendors or high invoice amounts
By Agentick AIDaily Reddit posts digest to Gmail
This n8n workflow automatically scrapes the latest posts from a specified Reddit subreddit every day at 9 AM and sends a neatly formatted HTML email summary to your inbox. It highlights new community posts, including post details like title, author, flair, upvotes, comments, and a brief preview — making it ideal for content curators, community managers, or Reddit enthusiasts who want daily updates. How It Works Trigger: The schedule node runs the workflow once every 24 hours at 9:00 AM. Reddit Scrape: A request is made to the desired subreddit (defined in the HTTP Request node) to pull post data. Filter & Format: JavaScript code filters posts created in the last 24 hours and transforms the data into structured summaries. Email Composition: A dynamic HTML email is generated summarizing the post details. If no new posts are found, a fallback message is displayed. Email Delivery: Gmail node sends the email with subject, content, and timestamp. Use Cases ✅ Stay informed about the latest subreddit activity. ✅ Automate daily newsletters for Reddit topics. ✅ Monitor niche communities for engagement trends. Requirements Reddit subreddit link (set in the HTTP Request node). Gmail account with OAuth2 credentials set up in n8n. User-Agent string customized for your Reddit scraping. Adjust schedule as per your preferred timezone. Google Sheet Setup (Not required for this workflow) No sheet integration is involved here. Customizing the Workflow You can personalize this workflow by: Replacing the User-Agent value with a meaningful identifier to avoid Reddit rate-limiting. Updating the subreddit URL in the HTTP Request node. Changing the Gmail recipient address in the Send Gmail node. Tweaking the HTML email styling in the Prepare Email Content node. Adjusting schedule time/frequency in the Trigger node.
By Agentick AI