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İndirebileceğin 3.557 hazır workflow dosyası, artı 10.661 kaynağa bağlı n8n referansı.
WAutomate PDF Image Extraction & Analysis with GPT-4o and Google Drive
Use Case Manually extracting images from PDF files for analysis is often slow and inefficient. Many users resort to taking screenshots of each page, uploading them to an AI tool like OpenAI for image analysis, and then manually copying the insights into a document. This manual process is time-consuming and prone to errors. This workflow streamlines the entire process by automatically extracting images from a PDF, analyzing them using the GPT-4o model, and saving the results in seconds—eliminating the need for manual effort. What This Workflow Does Extracts all images from the uploaded PDF file automatically The workflow scans each page of the PDF and identifies embedded images without manual intervention. Uses the GPT-4o model to analyze each extracted image Each image is processed through GPT-4o to generate descriptive insights, summaries, or context-specific analysis depending on the use case. Saves the analysis results to a .txt file, including image URLs The final output is a plain text file containing both the image URLs (e.g., hosted on cloud storage) and the corresponding GPT-4o analysis, ready for further use or sharing. Setup 1.Set up your credentials when you first open t
WCreate Daily Israeli Economic Newsletter using RSS and GPT-4o
Daily Economic News Brief for Israel (Hebrew, RTL, GPT-4o) Overview Stay ahead of the curve with this AI-powered workflow that delivers a daily economic summary tailored for professionals tracking the Israeli economy. At 8:00 PM Israel Time, this workflow: Retrieves the latest articles from Calcalist and Mako via RSS Filters duplicates and irrelevant stories Uses OpenAI’s GPT-4o to identify the 5 most important stories of the day Summarizes each article in concise, readable Hebrew Generates a fully styled, responsive HTML email (with proper RTL layout) Sends it to your inbox using your preferred SMTP email provider Perfect for economists, analysts, investors, or policymakers who want an actionable and personalized news digest -- no distractions, no fluff. Setup Instructions Estimated setup time: 10 minutes Required credentials: OpenAI API Key SMTP credentials (for email delivery) Steps: Import this template into your n8n instance. Add your OpenAI API Key under credentials. Configure the SMTP Email node with: Host (e.g. smtp.gmail.com) Port (465 or 587) Username (your email) Password (app-specific password or login) Set your target email address in the last node. (Optional) Customiz
WAutomate Hyper-Personalized Outreach at Scale With Bright Data and LLMs
LinkedIn Enrichment & Ice Breaker Generator For SDRs, growth marketers, and founders looking to scale personalized outreach. This workflow enriches LinkedIn profile data using Bright Data and generates AI-powered ice breakers using Claude (Anthropic). It automates research and messaging to help you connect smarter and faster — without manual effort. 🧩 How It Works This workflow combines Google Sheets, Brigt Data, and Claude (Anthropic) to fully automate your outreach research: Trigger Manually trigger the workflow or run it on a schedule (via Manual Trigger or Schedule Trigger). Read Input Sheet Fetches rows from a Google Sheet. Each row must contain at least a Linkedin_URL_Person and row_number. Prepare Input Formats each row for Bright Data’s API using Set and SplitInBatches nodes. Enrich Profile (Bright Data API) Sends LinkedIn URLs to Bright Data’s Dataset API via HTTP Request. Waits for snapshot to be ready using polling logic with Wait, If, and Snapshot Progress nodes. Once ready, retrieves the enriched profile data including: Name City Current company About section Recent posts Update Sheet with Profile Data Writes the retrieved enrichment data into the corresponding row in
W💰 Automate currency rates update in invoices with Google Sheet, ExchangeRate API
Tags: Automation, Finance, Google Sheets, API Note: This workflow uses the Exchange rate API and requires a valid API key. Context I’m Samir Saci, a Supply Chain Data Scientist who builds automations to streamline operations, reduce manual tasks, and boost decision-making through real-time data. In this workflow, I automated the task of fetching live currency exchange rates, updating a Google Sheet with the latest values, and archiving historical records — all without writing any code. > Improve your productivity by automating admin tasks with n8n! 📬 For business inquiries, you can add me on LinkedIn Who is this template for? This template is perfect for: Finance teams** tracking multi-currency cashflows Analysts** building dashboards or models requiring updated FX data Anyone working with spreadsheets** who needs up-to-date exchange rates It updates: A live sheet with the latest USD-based exchange rates An archive tab to track historical changes over time How does it work? This workflow runs in N8N and performs the following steps: 🌐 Calls the ExchangeRate API to get the latest rates based on USD 🧠 Extracts and formats key fields: base currency, timestamp, and conversion val
Audit Google Drive File Permissions for Access Control Management
This n8n template reviews and audits recently active Google Drive files and reports on files with excessively open permissions. This shows how you can automate simple compliance tasks for access control management. File Sharing Permissions are routinely abused when access needs and scopes expand to many colleagues, clients and users. Often, granting excessively open permissions means you can get back to work rather than deal with numerous access request notifications. Whilst sometimes justified, the problem is that the permissions are rarely reverted to a safer setting at a later date when it is no longer needed. This template serves to improve your security posture by giving frequent reminders of these open files so that they can be actioned and not forgotten about. See example Audit Report here: https://docs.google.com/spreadsheets/d/1V2aiLhp3_nH7EBniMn7D0kFHg7-A5NjpDZXMhb4F5UI/edit?gid=503992967 How it works A scheduled trigger runs everyday to generate a new audit report. A new sheet is created in a designated Google Sheets document to store the day's results. The Google Drive node is used with Advanced Search params to fetch recently modified files for the user with each file
Convert Text to Speech with Local KOKORO TTS
Disclaimer The Execute Command node is only supported on self-hosted (local) instances of n8n. Introduction KOKORO TTS - Kokoro TTS is a compact yet powerful text-to-speech model, currently available on Hugging Face and GitHub. Despite its modest size—trained on less than 100 hours of audio—it delivers impressive results, consistently topping the TTS leaderboard on Hugging Face. Unlike larger systems, Kokoro TTS offers the advantage of running locally, even on devices without GPUs, making it accessible for a wide range of users. Who will benefit from this integration? This will be useful for video bloggers, TikTokers, and it will also enable the creation of a free voice chat bot. Currently, TTS models are mostly paid, but this integration will allow for fully free voice generation. The possibilities are limited only by your imagination. Note Unfortunately, we can't interact with the KOKORO API via browser URL (GET/POST), but we can run a Python script through n8n and pass any variables to it. In the tutorial, the D drive is used, but you can rewrite this for any paths, including the C drive. Step 1 You need to have Python installed. link Also, download and extract the portable vers
Screen and Score Resumes from Gmail to Sheets with AI
Description This intelligent n8n automation streamlines the process of collecting, extracting, and scoring resumes sent to a Gmail inbox—making it an ideal solution for recruiters who regularly receive hundreds of applications. The workflow scans incoming emails with attachments, extracts relevant candidate information from resumes using AI, evaluates each candidate based on customizable criteria, and logs their scores alongside contact details in a connected Google Sheet. Who Is This For? Recruiters & Hiring Managers**: Automate the resume screening process and save hours of manual work. HR Teams at Startups & SMBs**: Quickly evaluate talent without needing large HR ops infrastructure. Agencies & Talent Acquisition Firms**: Screen large volumes of resumes efficiently and with consistent criteria. Solo Founders Hiring for Roles**: Use AI to help score and shortlist top candidates from email applications. What Problem Does This Workflow Solve? Manually reviewing resumes is time-consuming, error-prone, and inconsistent. This workflow solves these challenges by: Automatically detecting and extracting resumes from Gmail attachments. Using OpenAI to intelligently extract candidate info
Automate Purchase Order Form Submissions from Outlook Excel Attachments with AI
This n8n template imports purchase order submissions from Outlook and converts attached purchase order forms in XLSX format into structured output. Data entry jobs with user-submitted XLSX forms are time consuming, incredibly mundane but necessary tasks which in likelihood are inherited and critical to business operation. While we could dream of system overhauls and modernisation, the fact is that change is hard. There is another way however - using n8n and AI! N8N offers an end-to-end solution to parse XLSX form attachments using LLM-powered OCR and send the extracted output to your ERP or otherwise. How it works An Outlook trigger is used to watch for incoming purchase order forms submitted via a shared inbox. The email attachment for the submission is a form in xlsx format - like this one Purchase Order Example - which is imported into the workflow. The 'Extract from File' node is used with the 'code' node to convert the xlsx file to markdown. This is so our LLM can understand it. The Information Extractor node is used to read and extract the relevant purchase order details and line items from the form. A simple validation step is used to check for common errors such as missing
Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone
Who this is for? This workflow enables automated, scalable collection of high-quality, AI-ready data from websites using Bright Data’s Web Unlocker, with a focus on preparing that data for LLM training. Leveraging LLM Chains and AI agents, the system formats and extracts key information, then stores the structured embeddings in a Pinecone vector database. This workflow is tailored for: ML Engineers & Researchers building or fine-tuning domain-specific LLMs. AI Startups needing clean, structured content for product training. Data Teams preparing knowledge bases for enterprise-grade AI apps. LLM-as-a-Service Providers sourcing dynamic web content across niches. What problem is this workflow solving? Training a large language model (LLM) requires vast amounts of clean, relevant, and structured data. Manual collection is slow, error-prone, and lacks scalability. This workflow: Automatically extracts web data from specified URLs. Bypasses anti-bot measures using Bright Data’s Web Unlocker. Formats, cleans, and transforms raw content using LLM agents. Stores semantically searchable vectors in Pinecone. Makes datasets AI-ready for fine-tuning, RAG, or domain-specific training. What this
Generate Company Stories from LinkedIn with Bright Data & Google Gemini
Who this is for? The LinkedIn Company Story Generator is an automated workflow that extracts company profile data from LinkedIn using Bright Data's web scraping infrastructure, then transforms that data into a professionally written narrative or story using a language model (e.g., OpenAI, Gemini). The final output is sent via webhook notification, making it easy to publish, review, or further automate. This workflow is tailored for: Marketing Professionals**: Seeking to generate compelling company narratives for campaigns. Sales Teams**: Aiming to understand potential clients through summarized company insights. Content Creators**: Looking to craft stories or articles based on company data. Recruiters**: Interested in obtaining concise overviews of companies for talent acquisition strategies. What problem is this workflow solving? Manually gathering and summarizing company information from LinkedIn can be time-consuming and inconsistent. This workflow automates the process, ensuring: Efficiency**: Quick extraction and summarization of company data. Consistency**: Standardized summaries for uniformity across use cases. Scalability**: Ability to process multiple companies wit
Extract & Summarize Wikipedia Data with Bright Data and Gemini AI
Who this is for? This workflow automates the process of Wikipedia data extraction using the Bright Data Web Unlocker, parsing and cleaning the data, and then sending the results to a specified webhook URL for downstream processing, reporting, or integration. What problem is this workflow solving? Researchers who need structured information from Wikipedia pages regularly. Data Engineers building knowledge bases or enriching datasets with factual data. Digital Marketers or Content Writers automating fact-checking or content sourcing. Automation Enthusiasts who want to trigger external systems with rich context from Wikipedia. What this workflow does This workflow addresses the challenges of manually retrieving, structuring, and using data from Wikipedia at scale. Workflow Breakdown Trigger Type: Scheduled or Manual Purpose: Starts the workflow either on a fixed schedule (e.g., daily) or on-demand via a manual trigger or incoming webhook. Bright Data Wikipedia Scraping Tool Used: Bright Data Web Unlocker Action: Scrape the HTML content of one or multiple Wikipedia article URLs. Parse & Extract Structured Data The Basic LLM Chain node is responsible for producing a human readable conte
Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data
Who is this for? This workflow automates the process of querying Bing's Copilot Search, extracting structured data from the results, summarizing the information, and sending a notification via webhook. It leverages the Microsoft Copilot to retrieve search results and integrates AI-powered tools for data extraction and summarization. What problem is this workflow solving? Data Analysts and Researchers: Who need to gather and summarize information from Bing search results efficiently. Developers and Engineers: Looking to integrate Bing search data into applications or services. Digital Marketers and SEO Specialists: Interested in monitoring search engine results for specific keywords or topics. What this workflow does Manually extracting and summarizing information from search engine results can be time-consuming and error-prone. This workflow automates the process by: Performing Bing searches using Bright Data's Bing Search API. Extracting structured data from the search results. Summarizing the extracted information using AI tools. Sending the summarized data to a specified endpoint via webhook. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web
Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks
Who this is for? This workflow is designed for professionals and teams who need real-time, structured insights from Perplexity Search results without manual effort. What problem is this workflow solving? This n8n workflow solves the problem of automating Perplexity Search result extraction, cleanup, summarization, and AI-enhanced formatting for downstream use like sending the results to a webhook or another system. What this workflow does Automates Perplexity Search via Bright Data Uses Bright Data’s proxy-based SERP API to run a Google Search query programmatically. Makes the process repeatable and scriptable with different search terms and regions/zones. Cleans and Extracts Useful Content The Readable Data Extractor uses LLM-based cleaning to remove HTML/CSS/JS from the response and extract pure text data. Converts messy, unstructured web content into structured, machine-readable format. Summarizes Search Results Through the Gemini Flash + Summarization Chain, it generates a concise summary of the search results. Ideal for users who don’t have time to read full pages of search results. Formats Data Using AI Agent The AI Agent acts like a virtual assistant that: - Understands sear
Google Search Engine Results Page Extraction and Summarization with Bright Data
Who this is for? This workflow is designed for professionals and teams who need real-time, structured insights from Google Search results without manual effort. What problem is this workflow solving? This n8n workflow solves the problem of automating Google Search result extraction, cleanup, summarization, and AI-enhanced formatting for downstream use like sending the results to a webhook or another system. What this workflow does Automates Google Search via Bright Data Uses Bright Data’s proxy-based SERP API to run a Google Search query programmatically. Makes the process repeatable and scriptable with different search terms and regions/zones. Cleans and Extracts Useful Content The Google Search Data Extractor uses LLM based cleaning to remove HTML/CSS/JS from the response and extract pure text data. Converts messy, unstructured web content into structured, machine-readable format. Summarizes Search Results Through the Gemini Flash + Summarization Chain, it generates a concise summary of the search results. Ideal for users who don’t have time to read full pages of search results. Formats Data Using AI Agent The AI Agent acts like a virtual assistant that: Understands search result
Summarize Glassdoor Company Info with Google Gemini and Bright Data Web Scraper
Who is this for? This workflow is designed for HR professionals, employer branding teams, talent acquisition strategists, market researchers, and business intelligence analysts who want to monitor, understand, and act upon employee sentiment and company perception on Glassdoor. It's ideal for organizations that value real-time feedback, are tracking employer brand perception, or need summarized insights for leadership reporting without sifting through thousands of raw reviews. What problem is this workflow solving? Manually reviewing and analyzing Glassdoor reviews is tedious, subjective, and not scalable especially for larger companies or those with many subsidiaries. This workflow: Automates review collection by making a Glassdoor company request via the Bright Data Web Scrapper API. Uses Google Gemini to summarize the content. Sends an actionable summary to HR dashboards, leadership teams, or alert systems via the Webhook notification. What this workflow does Makes an HTTP Request to Glassdoor via the Bright Data Web Scrapper API. Polls the BrightData Glassdoor for the completion of the request. Downloads the Glassdoor response when a new snapshot is ready. Sends the prompt to G
WConvert YouTube Videos into SEO Blog Posts with GPT-4o, Dumpling AI, and Flux
Workflow Description This workflow helps content creators automatically repurpose YouTube videos into SEO-friendly blog posts. It extracts the video transcript, uses AI to generate a full blog post with a relevant image, and sends the complete package via email, ready for publication. Prerequisites/Requirements This workflow relies on external AI services. You will need: OpenAI Account: Used for generating the blog post text (specifically mentioned using GPT-4o in the workflow notes). Credentials: Requires an API key from OpenAI. Cost: OpenAI API usage is typically paid based on the amount of text processed (tokens). Check OpenAI's current pricing. Setup: Sign up at OpenAI and obtain your API key. Dumpling AI Account: Used for retrieving YouTube video transcript and generating the blog post image. Credentials: Requires an API key from Dumpling AI. Cost: Dumpling AI offers 250 free credits to start with and different plans for different levels of usage. Check the pricing page for more details. Setup: Sign up at Dumpling AI and obtain your API key/credentials. Email Account: Credentials for the email service (e.g., Gmail) used to send the final result. How it works Input Video Detail
Compare Sequential, Agent-Based, and Parallel LLM Processing with Claude 3.7
This workflow demonstrates three distinct approaches to chaining LLM operations using Claude 3.7 Sonnet. Connect to any section to experience the differences in implementation, performance, and capabilities. What you'll find: 1️⃣ Naive Sequential Chaining The simplest but least efficient approach - connecting LLM nodes in a direct sequence. Easy to set up for beginners but becomes unwieldy and slow as your chain grows. 2️⃣ Agent-Based Processing with Memory Process a list of instructions through a single AI Agent that maintains conversation history. This structured approach provides better context management while keeping your workflow organized. 3️⃣ Parallel Processing for Maximum Speed Split your prompts and process them simultaneously for much faster results. Ideal when you need to run multiple independent tasks without shared context. Setup Instructions: API Credentials: Configure your Anthropic API key in the credentials manager. This workflow uses Claude 3.7 Sonnet, but you can modify the model in each Anthropic Chat Model node, or pick an entirely different LLM. For Cloud Users: If using the parallel processing method (section 3), replace {{ $env.WEBHOOK_URL }} in the "LLM s
Upload Carousel of Images to Tiktok and Instagram with upload-post.com
Image Carousel Publisher for Instagram and TikTok Description This automation template is designed for content creators, digital marketers, and social media managers looking to streamline their image carousel posting workflow. It automates the process of uploading multiple images as carousels to Instagram and slideshows to TikTok, making your visual content management more efficient across platforms. Who Is This For? Content Creators & Influencers:** Simplify posting image collections and focus more on creating visual content. Digital Marketers:** Ensure consistent carousel posts across multiple platforms with minimal manual effort. Social Media Managers:** Automate repetitive image uploading tasks and maintain visual engagement. What Problem Does This Workflow Solve? Manually uploading image carousels to different platforms can be time-consuming and inconsistent. This workflow addresses these challenges by: Automating Multi-Image Uploads:** Processes multiple images and prepares them for platform-specific formats. Supporting Cross-Platform Publishing:** Simultaneously posts your image carousels to Instagram and TikTok slideshows. Maintaining Visual Consistency:** Ensures your visu
W📌 Turn your LinkedIn insights into content ideas with Airtable and Real-Time Linkedin Scraper
🚀 Transform LinkedIn Post Reactions into Content Ideas with Airtable 📝 Description This workflow helps you to turn your LinkedIn activity into a powerful content ideation engine. It captures your most recent post reactions on LinkedIn automatically, filters them based on recency, and structures the content into Airtable—ready for brainstorming, inspiration, or publication planning. ⚙️ What It Does Fetches* the latest liked posts from LinkedIn via a public API (rapidapi.com/Real-Time Linkedin Scraper*). Filters** posts to include only those marked as your decided reaction and posted in the last 7 days. Extracts** the post text, author, links and more. Formats** the data into a database-friendly structure. Saves** the output in Airtable for easy tracking, tagging, or team collaboration. 💡 Use Cases Build a content idea vault from posts you admire. Capture inspiration from thought leaders. Identify trends based on what you find insightful. Supercharge your personal brand or newsletter by turning likes into learning. 🛠 Prerequisites Before using this template, make sure you have: ✅ A RapidAPI account and access to the linkedin-api8 endpoint. ✅ Your RapidAPI key and the target Linke
Import Google Keep notes to Google Sheets using OpenAI and Google Drive
This n8n workflow automates the import of your Google Keep notes into a structured Google Sheet, using Google Drive, OpenAI for AI-powered processing, and JSON file extraction. It's perfect for users who want to turn exported Keep notes into a searchable, filterable spreadsheet – optionally enhanced by AI summarization or transformation. Who is this for? Researchers, knowledge workers, and digital minimalists who rely on Google Keep and want to better organize or analyze their notes. Anyone who regularly exports Google Keep notes and wants a clean, automated workflow to store them in Google Sheets. Users looking to apply AI to process, summarize, or extract insights from raw notes. What problem is this workflow solving? Exporting Google Keep notes via Google Takeout gives you unstructured .json files that are hard to read and manage. This workflow solves that by: Filtering relevant .json files Extracting note content (Optionally) applying AI to analyze or summarize each note Writing the result into a structured Google Sheet What this workflow does Google Drive Search: Looks for .json files inside a specified "Keep" folder. Loop: Processes files in batches of 10. File Filtering: Fil
Google Drive Duplicate File Manager
Google Drive Duplicate File Manager 🧹📁 Purpose: Automate the process of finding and managing duplicate files in your Google Drive. Who's it for? Individuals and teams aiming to streamline their Google Drive. Anyone tired of manual duplicate file cleanup. What it Solves: Saves storage space 💾. Reduces file confusion 😕➡️🙂. Automates tedious cleanup tasks 🤖. How it works: Trigger: Monitors a Google Drive folder for new files. Configuration: Sets rules for keeping and handling duplicates. Find Duplicates: Identifies duplicate files based on their content (MD5Checksum). Action: Either moves duplicates to trash or renames them. Setup Guide: Google Drive Trigger ⏰: Set up the trigger to watch a specific folder or your entire drive (use caution with the root folder! ⚠️). Configure the polling interval (default: every 15 minutes). Config Node ⚙️: keep: Choose whether to keep the "first" or "last" uploaded file (default: "last"). action: Select "trash" to delete duplicates or "flag" to rename them with "DUPLICATE-" (default: "flag"). owner & folder: Taken from the trigger. Only change if needed. Key Considerations: Google Drive API limits:** Be mindful of API usage. Folder Scope:* The
AI-Driven WooCommerce Product Importer from Google Sheet with Yoast SEO meta
This workflow streamlines your WooCommerce product creation process by integrating directly with Google Sheets. Simply input product details into your spreadsheet, and the workflow takes care of the rest-automatically creating new products on your WooCommerce store with inventory management. But it doesn’t stop there. A dedicated SEO expert chain analyzes each product’s content and generates optimized meta titles and meta descriptions for the plugin Yoast SEO, enhancing visibility and ranking potential on search engines. Key Benefits: 🔄 Automation: No more manual uploads—save time and reduce errors by syncing Google Sheets directly with WooCommerce. ⚡ Speed: Instantly publish multiple products with just one action. 🧠 Built-in SEO Intelligence: Automatically generate SEO-friendly meta titles and descriptions tailored to each product. 📈 Improved Search Visibility: Boost your store's traffic with optimized product listings. 🧩 Customizable: Easily adapt the workflow to your specific needs or integrate with other platforms. How It Works This workflow automates the creation of WooCommerce products and generates optimized SEO meta tags (title and description) using AI. Here’s the step
Transform Gmail Newsletters into Insightful LinkedIn Posts Using OpenAI
Who Is This For? This workflow is perfect for content creators, marketers, and business professionals who receive regular newsletters and want to effortlessly convert them into engaging LinkedIn posts. By automating the extraction and repurposing process, you can save time and consistently share thoughtful updates with your network. What Problem Does This Workflow Solve? Manually reading newsletters, extracting the key points, and then formatting that content into professional, engaging LinkedIn posts can be time-consuming and error-prone. This workflow automates those steps by: Filtering Emails:** Uses the Gmail node to process only those emails from a specific sender (e.g., [email protected]). Extracting Content:** Leverages OpenAI to identify and summarize the top news items in your newsletter. Generating Posts:** Crafts concise, insightful LinkedIn posts in a smart, deadpan style with a touch of subtle humor. Publishing:** Posts the generated content directly to LinkedIn. What This Workflow Does Filter Newsletters:** The Gmail node is set up to only handle emails from your chosen sender, ensuring that only relevant newsletters are processed. Extract Key Content:** An OpenA
Parse Gmail Inbox and Transform into Todoist tasks with Solve Propositions
Who is it for? If you are getting a lot of emails into your Gmail inbox, then probably some of those can be solved easly by replying or by doing specific short tasks. But analyzing whole email thread content just to catch up with multiple threads can be very wasteful. So by using AI you can actually get simple propositions of what should be done before closing this specific email and actual proposed answer to that email. This is especially useful if you need to do some actions before replying to email. In that case you can simply assign task to specific person, await until it's done, copy-paste AI answer when it's done, and close. Another good use would be if on one inbox there are working multiple people. It can make the process much more streamlined. How It Works? Script runs on your selected trigger. If you are using section "Read and Star", then you may use "Email Trigger". Automation is looking for exiting open Todoist tasks, that have the same title as email If task does not exist, then we are asking AI to analyze thread and give output that is Todoist-API-ready: having summary of email content having proposed actions to be taken having proposed answer to this email If email