Pre-built workflows to automate your most common business processes. Click any template to start building.
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This workflow automates sales lead enrichment. It starts with a company name, searches Google to find the company's primary website and LinkedIn profile, and then scrapes the website content. An AI then analyzes this information to extract specific details like pricing plans (e.g., free trial, enterprise plan) and market type (B2B/B2C), ultimately providing enriched data for sales outreach.
This workflow triggers when a client conversation transcript is provided. It uses AI to analyze the transcript, searches HubSpot for the client's record, and uploads a summarized version as meeting notes. Based on the AI analysis, relevant feedback is categorized and routed to the appropriate internal teams via Gmail.
This workflow is triggered when a new email is received in Gmail. It uses AI to parse the email content and extract relevant data. It then checks HubSpot for an existing contact with the sender's email address. If the contact exists, the email is logged as an engagement; otherwise, a new contact is created, and then the email is logged as an engagement, automating CRM updates.
This workflow triggers when a new contact form is submitted. It uses AI to classify the submitted message into predefined categories, such as 'Request Quote' or 'Product Info'. Based on the AI classification, the workflow routes an email to the appropriate internal department. Finally, it logs all submission details and the classification results into a Google Sheet for tracking and analysis.
This workflow starts when a new lead is added to Google Sheets. It performs a Google search to find the lead's LinkedIn profile and company page, then scrapes the relevant data. An AI then generates a personalized sales email based on the gathered information, which is then sent via Gmail.
This workflow automates the screening of job applicants. When a new job application (e.g., via Google Form with an attached CV) is received, the workflow extracts text from the submitted PDF CV. An AI then analyzes the CV to generate a compatibility rating, which is saved as a new row in a Google Sheet. Finally, both the candidate and the HR team receive email notifications regarding the application.
This workflow automatically generates social media post captions. When a new record is added to an Airtable editorial plan, it retrieves briefing information and other details like target group and tonality. An AI then uses this context to create a suitable social media caption, which is subsequently updated back into the original Airtable record.
This workflow is triggered when user feedback is updated in a Notion database. It uses an AI to perform sentiment analysis (Positive, Neutral, Negative) and determine if the feedback matches an existing insight or requires a new one. The workflow then updates the Notion database, linking feedback to insights and marking it as processed.
This workflow allows users to input a landing page URL. It then scrapes the content of the page and sends it to an AI for a comprehensive analysis. The AI provides a Conversion Rate Optimization (CRO) audit and actionable tips to improve the landing page's performance and conversion rates.
This workflow automatically monitors your Gmail inbox for new inquiries. It classifies incoming emails using AI, retrieves relevant context from a Google Sheet acting as an FAQ database, and generates a professional, context-aware reply for valid inquiries. Finally, it sends the AI-generated response via Gmail and logs all interaction details (original email, AI response, timestamp, and sender) to a Google Sheet for tracking.
This workflow streamlines the onboarding process for new customers. Triggered by a new form submission in HubSpot, it uses AI to generate a personalized welcome email. It then schedules a welcome meeting in Google Calendar and sends the personalized email via Gmail. Finally, it updates the customer's owner in HubSpot to ensure a smooth and personalized onboarding experience.
This workflow triggers when a new row is added to a Google Sheet containing a company website URL. It then scrapes the content from that website, uses an AI model to extract key company information such as market, industry, target audience, and value proposition. Finally, the workflow updates the original Google Sheet row with this enriched data.
This workflow monitors a Google Sheet for new customer feedback submissions. It then uses Gemini AI to analyze the feedback, extracting emotionally engaging and impactful testimonial quotes. Finally, the extracted testimonials are automatically added to a "Testimony" column in the Google Sheet, and an email notification is sent to the marketing team.
This workflow collects article details via a form (e.g., Google Forms). It then uses AI to generate an article outline and the full article content based on the inputs. Finally, it saves the generated content to Google Drive and updates a Google Sheet with links for tracking article progress.
This workflow enables users to input a website URL, which is then scraped for its content. The extracted content is sent to an AI model that performs a comprehensive on-page SEO audit. Finally, the AI generates a list of 10 actionable recommendations to improve the page's SEO, which are then delivered via email.
This workflow is triggered when a new form submission provides a person's name and company. It automatically performs a Google Search to find their LinkedIn profile, then uses AI to analyze the search results and extract relevant profile data. Finally, it generates a personalized buyer persona and follow-up email, sending it via Gmail.
Triggered by a new row in Google Sheets, this workflow sends lead data to an AI for qualification based on predefined rules. The AI evaluates the lead, and its response is then processed to extract the qualification status. Finally, the original Google Sheet row is updated with the lead's qualification (qualified or not qualified).
This workflow triggers automatically when a new email is received in Gmail. It uses AI to classify the email's content, determine if a response is required, and generate a context-aware reply. The workflow then creates a draft email in Gmail with the AI-generated response, schedules follow-up events in Google Calendar if needed, and sends real-time notifications via Slack for important emails.
This workflow triggers when a new email is received in Gmail. It uses AI to analyze the email content and identify meeting requests. Based on the request, it queries Google Calendar for available time slots. Finally, it composes and sends a response email suggesting suitable meeting times to the sender.
This workflow automates the handling of job applications by processing CVs. It triggers when a new row is added to a Google Sheet (assumed to contain a link to a PDF CV), extracts text and details from the CV, summarizes the candidate's profile, evaluates their qualifications using AI, and finally updates a Google Sheet with the processed data and evaluation results.
This workflow automates the client onboarding process. It triggers when a new submission is received via Google Forms, extracts client details, and uses AI to generate a personalized welcome email including a tailored onboarding checklist. Finally, it sends this professional welcome email to the new client via Gmail, ensuring immediate and consistent engagement.
This workflow triggers when a new email is received in your Gmail inbox. It then uses an AI to classify the email's content as SPAM, OFFER, or IMPORTANT. If the email is classified as SPAM or OFFER, it is automatically archived, keeping your inbox clean and organized. Important emails remain untouched for your review.
This workflow automates the screening and evaluation of job applications. When a candidate submits their application, their CV is uploaded to Google Drive. The system then uses AI to extract candidate information from the CV, retrieves the relevant job description from Google Sheets and Google Drive, and evaluates the candidate against the job requirements. Finally, it stores the results in Google Sheets and sends conditional notifications via Gmail or Slack.
This workflow automatically triggers when a new product review is added to a specified Google Sheet. It then uses AI to analyze the sentiment of the review (positive, neutral, or negative) and writes the sentiment back into a designated column in the same Google Sheet.
This workflow scrapes the content of a specified website URL. It then uses AI to analyze the raw HTML for key SEO elements like headings, meta descriptions, structured data, and the presence of JavaScript-blocking warnings. Finally, it provides an AI-generated readability score and actionable recommendations to improve the website's AI-friendliness.
This workflow automatically summarizes new comments added to a Notion database page using AI. When a page in a specified Notion database is updated with new comments, the workflow extracts these comments, sends them to an AI model for summarization, and then updates a designated property on that same Notion page with the generated summary.
This workflow automates the recruitment pipeline by analyzing job applicant data. It triggers when a new candidate row (including a CV link) is added to Google Sheets. The workflow then downloads the CV, extracts and parses its content using AI, fetches the job description from Google Sheets, and conducts an AI-powered fit evaluation. Finally, it updates the analysis in Google Sheets and sends personalized shortlisting or rejection emails to candidates.
This workflow is triggered when a new message is received in a chat platform. It uses AI to identify if the message contains a URL and a request to save an article. If a valid article URL is found, the workflow scrapes the website's content, summarizes it with AI, and then creates a new page in a Notion database. The Notion page includes the original URL, the AI-generated summary, and other extracted metadata. Finally, a confirmation message is sent back to the chat.
This workflow automates the candidate screening process. It triggers when a new application is submitted via Google Forms, including a PDF resume upload. The workflow extracts text from the resume, stores it in Google Drive, and uses AI (OpenAI) to evaluate the candidate against job requirements fetched from Airtable. Finally, it creates a new candidate record in Airtable with the evaluation results and sends an email notification to HR if the candidate is deemed suitable.
This workflow transforms a simple user query into comprehensive, well-structured HTML content. It leverages Perplexity AI for in-depth research, then uses an LLM (such as GPT) to organize the findings and generate a professional blog post in HTML format, complete with proper semantic structure and formatting.
This workflow monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
This workflow automatically detects new incoming emails and processes their content using an AI model to generate a context-aware response. The AI-generated reply is then sent back to the original sender, providing instant answers to FAQs, order confirmations, or support queries. Finally, the interaction is logged into a database like Google Sheets or Airtable for record-keeping.
This workflow connects to your Gmail inbox to automatically organize incoming emails. It uses AI to analyze email content, then archives unnecessary emails and assigns priority labels ('MustRead' or 'NotNeed') to relevant ones. This helps users quickly prioritize and manage their inbox effectively.
This workflow automates email management by triggering on new Gmail messages. It uses AI to categorize emails, generate tailored draft replies, and apply relevant Gmail labels. Additionally, it sends Slack notifications for high-priority emails like sales opportunities or internal communications, ensuring timely responses and an organized inbox.
This workflow is manually triggered to take user profile information. It searches LinkedIn for relevant professional profiles, uses AI to analyze the search results, and then generates personalized connection recommendations. Finally, it sends these recommendations via email to the user, with an optional step to log the recommendations in Google Sheets.
This workflow automates invoice processing by monitoring a Google Drive folder for new PDF invoices. Upon detection of a new PDF, it extracts text content using OCR, then uses AI to parse and extract key invoice details like invoice number, date, and total amount. Finally, it stores the extracted, structured data into a Google Sheet for easy access and reporting.
This workflow automatically takes simple user prompts from a Google Sheet and enhances them into detailed, structured AI prompts. It triggers upon a new row in a specified sheet, uses an AI model to add context and structure, and then writes the enhanced prompt with metadata to another Google Sheet.
This workflow enables users to quickly get answers to research questions. It takes a user's prompt, utilizes Perplexity AI for an up-to-date search, and then provides the summarized or extracted answer. The outcome is a direct and concise response to the query.
This workflow is manually triggered to process complex text-based queries. It leverages AI to parse and extract information, ensuring the output is in a structured format. The AI can also identify and correct invalid outputs, making the data consistently usable.
A user submits their medical symptoms through a Google Form. An AI analyzes these symptoms to suggest possible conditions and retrieves doctor contact information from a Google Sheet. The workflow then sends an email to the user with personalized doctor recommendations and logs all interaction details in a separate Google Sheet.
This workflow monitors your Gmail for new Upwork job alerts on a schedule. It extracts job details from incoming emails and uses AI to score them against your specified freelancer profile and criteria. Jobs that meet a set score threshold are then sent as a notification to a designated Slack channel, helping you find relevant opportunities quickly.
This workflow helps marketing teams analyze competitor LinkedIn posts. It scrapes content from a given LinkedIn post URL, uses AI to extract insights like the post's intent, effectiveness, and key marketing takeaways, and then stores this structured competitive intelligence directly into a Google Sheet.
This workflow analyzes a specified LinkedIn profile to extract its unique writing style from public posts. It then uses AI to generate custom prompts that can replicate this style. Finally, the generated AI prompts are automatically saved to an Airtable database for easy access and reuse.
This workflow automatically runs on a schedule to scrape CoinMarketCap for trending cryptocurrencies. It leverages an AI model to analyze the scraped market data and generate concise, actionable insights. The final output, an AI-powered summary of the crypto trends, is then delivered as a message to a designated Slack channel.
This workflow automatically categorizes incoming Gmail emails using AI. When a new email arrives, its content is analyzed by an AI model, which assigns a category (e.g., Junk, Business, Action). Based on the assigned category, the email is then labeled or archived in Gmail, helping to organize the inbox and streamline communication.
This workflow monitors your Gmail inbox for new unread emails. It uses an AI to analyze the email content, categorize it, and determine its priority. Finally, it applies a label in Gmail and sends a summarized alert to the appropriate Slack channel.
This workflow monitors for new incoming Gmail emails. It uses AI to analyze the email content and classify it into predefined categories like 'To respond' or 'Marketing'. Finally, it automatically applies the corresponding Gmail label to help organize the inbox and prioritize responses.
This workflow triggers when a new company name is added to a Google Sheet. It uses an AI to find detailed information about the company (e.g., industry, size, website). It then checks HubSpot for an existing company record. If not found, it creates a new company in HubSpot and updates the original Google Sheet row with the enriched data.
This workflow automatically generates detailed product comparison content. It can be triggered manually or when a new row is added to Google Sheets, taking two product names as input. An AI model then generates a compelling title, a feature-by-feature comparison, use-case recommendations, and an FAQ section. Finally, the generated content is saved into a Google Sheet for review or publishing.
This workflow automatically classifies new incoming Gmail messages. When a new email is received, it uses AI to categorize the email content (e.g., Job Opportunity, Application Status, Enquiries). Finally, it applies the appropriate custom label to the email in Gmail, keeping your inbox organized.
This workflow automatically screens and validates candidate CVs received via email. It triggers on new emails with attached PDFs, extracts text from the CVs, uses AI to parse key candidate information, checks for required fields, and then either saves valid CVs to Google Drive or sends an email notification to HR for invalid submissions.
This workflow automatically processes new job applications received via Gmail. It extracts the job code and applicant's CV from email attachments, uses AI to parse the CV for key information, and retrieves job requirements from Airtable. Finally, it uses AI to score the applicant against the job and logs all details, including a summary, back into Airtable.
This workflow automates the CV screening process for HR professionals. It triggers when a new email with a CV attachment is received in Gmail. It then extracts the resume text using AI, evaluates the candidate's fit for a job using an LLM, and logs the results, including a score, into a Google Sheet. Finally, it sends a confirmation email to the applicant.
This workflow automatically processes new incoming Gmail emails. It uses an AI model to analyze the email content, categorize it, and generate a smart response. Finally, it can apply appropriate labels in Gmail and optionally send the generated response.
This workflow monitors your Gmail inbox for new emails, filtering them based on specific criteria. It then uses AI to generate concise summaries of the email content. Finally, it logs all relevant email data, including the AI-generated summary, to a Google Sheets spreadsheet for easy tracking and analysis.
This workflow automates the employee reimbursement process. When an employee submits a receipt via email, the system uses AI to extract key details and checks for duplicates. It then uploads the receipt to Google Drive, logs all the data in Google Sheets, and finally sends a comprehensive email notification to the finance team for payment processing.
This workflow monitors a designated Google Drive folder for new PDF bank statements and image screenshots. Upon detection, it leverages AI capabilities to extract transaction details, such as dates, payees, and amounts. Finally, the extracted data is formatted and stored as a new file in a separate Google Drive folder, streamlining expense tracking.
This workflow automatically categorizes incoming Gmail emails. It triggers when a new email arrives, uses AI to analyze its content, and then assigns or creates a relevant label in Gmail. It can also archive irrelevant emails, helping maintain an organized inbox.
This workflow monitors incoming emails in Gmail, classifies their content using an AI model, and then performs actions based on the classification. It creates draft replies for support or inquiry emails in Gmail, adds appropriate labels to emails, and sends Slack notifications for action items or newsletter summaries.
This workflow automatically detects new unread emails in Gmail. It extracts key information like the sender's name and then uses AI to classify the email into predefined categories. Based on the classification, the workflow applies the correct Gmail label, and then conditionally sends a personalized auto-reply, creates a draft email, or logs the contact details in Google Sheets.
This workflow automatically processes new PDF invoice uploads to a Google Drive folder. It extracts key details like vendor, amount, and dates using AI after performing OCR on the PDF, then logs this structured data into an Airtable database or Google Sheet. Finally, it moves the processed PDF to a 'Done' folder, streamlining invoice management.
This workflow automates the processing of incoming invoices. It triggers when a new email with an invoice attachment is received, extracts key information using OCR and AI, and then populates a designated Airtable base with the extracted invoice data for tracking and management.
This workflow monitors Gmail for new emails from specified senders containing PDF attachments with invoice-related subjects. It extracts text from the PDF, analyzes it using AI to determine if it's a valid invoice, and then takes action. If valid, the invoice is saved to Google Drive and a confirmation email is sent. If the AI is uncertain, it requests human verification via email, and if deemed invalid, an alert email is sent.
This workflow captures new leads from form submissions. It then uses AI to enrich company data, classify leads into categories, and automatically trigger personalized email follow-up sequences. Qualified leads can also have demo meetings scheduled, with all lead interactions logged in Google Sheets.
This workflow automates patient intake by processing symptom submissions from a Google Sheet. It uses AI to analyze symptoms, suggest potential issues, and assign a relevant department. Subsequently, it books an appointment in the appropriate Google Calendar and updates the patient's details in the Google Sheet, while ensuring no duplicate appointments are created.
This workflow automates weekly restaurant sales and inventory forecasting. It triggers weekly, pulls historical sales data from Google Sheets, uses Gemini AI to predict future needs, and then logs the forecast back to Google Sheets before emailing a summary to stakeholders for efficient planning and waste reduction.
This workflow monitors a Gmail inbox for new emails containing PDF resume attachments. It extracts the job title from the email subject and matches it against open positions stored in Airtable. The resume file is then uploaded to Google Drive, and its content is sent to an AI for analysis, scoring the candidate, extracting key details, and providing feedback. All results, including candidate information, AI score, and a resume download link, are then appended as new rows in Google Sheets.
This workflow enables seamless automation of real-time chat replies in Slack. When a new message is received in a designated Slack channel, the message is sent to Google Gemini for analysis. Gemini then crafts a professional, context-aware response, which is automatically delivered back to the user in the same Slack channel.
This workflow automatically processes incoming Gmail emails. It uses AI to detect if an email is a sponsored deal inquiry, classifies it based on criteria, and then drafts a polite, professional reply if it's a sponsored deal. Non-sponsored emails are simply ignored.
This workflow enables users to submit website URLs via Slack for automated evaluation. It scrapes the target website's content, then uses AI to analyze its potential business impact by incorporating context from a Google Sheet. Finally, it provides a detailed, structured report back in Slack and logs all analysis results into Google Sheets for record-keeping.
This workflow automatically classifies incoming Gmail messages using AI into categories such as 'High Priority' or 'Customer Support'. Based on the classification, it triggers specific actions like drafting replies, sending auto-responses, forwarding emails, or applying labels. For urgent or relevant messages, the workflow also sends immediate alerts to a designated Slack channel, ensuring efficient email management and timely responses.
This workflow monitors for new customer support emails in Gmail. It uses a primary AI model (Gemini) to generate replies. If the primary AI fails or for complex queries, it intelligently falls back to a secondary AI model (GPT). Finally, it sends the AI-generated reply and logs all interaction details into a Google Sheet for tracking.
This workflow automatically extracts invoice data from PDF attachments received via Gmail. It uses AI to parse structured fields like PO numbers, line items, and totals, then stores this information neatly into a Google Sheet and labels the processed email.
This workflow triggers when a new row is added to a Google Sheet containing a LinkedIn profile URL. It then scrapes the detailed profile data using a LinkedIn scraper, sends the extracted information to an AI model for summarization, and finally writes the AI-generated summary back into the original Google Sheet row. This is ideal for recruiters or sales teams needing quick insights into prospects or candidates.
This workflow monitors your Gmail inbox for new emails with a specific label. When a new email arrives, an AI analyzes its content for message assessment and language detection. Based on this, the AI generates a context-aware, multilingual draft reply. Finally, this AI-generated reply is saved as a draft in the original Gmail thread for user review.
This workflow automates the resume screening process. It triggers when a new email with a resume attachment is received in Gmail. The workflow extracts candidate details from the PDF resume, retrieves a relevant job profile from Notion, and uses an AI to score the resume's fit. The results are then updated in a Google Sheet, and the original email is labeled for easy tracking.
This workflow automates the screening and ranking of resumes. It triggers when a new resume is added to Google Drive, extracts data from the resume and a job description, uses AI to analyze suitability and generate a score, then updates a Google Sheet tracker and sends email notifications.
This workflow automatically processes inbound lead form submissions, capturing essential details. It researches the lead's business online using AI to gather relevant context. An LLM then crafts a highly personalized follow-up email, including a compelling subject line and a call-to-action to book a meeting. Finally, the personalized email is sent automatically via Gmail, ensuring lightning-fast responses and boosting conversion rates.
This workflow creates an automated email assistant. When manually triggered with a request to email a supplier, it searches a Google Sheet for the supplier's contact information. It then uses AI to draft a professional email based on the request and sends it automatically via Gmail, streamlining supplier communications.
This workflow monitors your Gmail for new, unread emails from Upwork clients. When a new message arrives, it uses an AI field extractor to intelligently pull out the client's name and the message content. The extracted information is then sent as an instant notification to a designated Slack channel, helping teams respond quickly and centralize important communications.
This workflow runs weekly to automatically research trending keywords and analyze competitors for a given industry. It uses AI to gather search data and analyze trends, then saves the findings directly into a Google Sheet for ongoing tracking and strategy.
This workflow automatically monitors for new incoming Gmail emails. It uses an AI to analyze the email content, determine its category, and then applies the appropriate label in Gmail, helping to organize your inbox without manual effort.
This workflow triggers when a new email is received in Gmail. It uses AI to analyze the email's subject and body, then determines a category and request type. It retrieves existing entries from a Google Sheet. If a matching category and request are found, it increments the count for that specific row; otherwise, it adds a new row to the sheet.
This workflow automatically categorizes newly received Gmail emails. It uses an AI to determine the email's topic or sentiment and then applies a relevant custom label in Gmail for better organization and follow-up.
This workflow automatically monitors your Gmail inbox for new emails. It uses an AI model to classify each incoming email into predefined categories like 'Business', 'Meetings', or 'Cold Emails'. Based on the AI's classification, the workflow then automatically applies the appropriate label to the email in Gmail, keeping your inbox organized.
This workflow automatically categorizes new incoming Gmail messages. It uses AI to analyze the email's content, subject, and sender, then assigns 1-3 relevant labels based on existing Gmail label structures, ensuring an organized inbox and boosting productivity.
This workflow automatically categorizes new incoming Gmail messages. It uses AI to analyze the content of each email and then applies a relevant Gmail label (e.g., 'Quotation', 'Inquiry') to organize the inbox efficiently. This helps streamline email management and prioritize important communications.
This workflow automatically categorizes and labels new incoming Gmail emails. When a new email is received, an AI analyzes its content to determine its category (e.g., 'High Priority', 'Work Related', or 'Promotions'). Based on the AI's classification, the workflow applies the appropriate label to the email in Gmail, helping to keep your inbox organized without manual sorting.
This workflow triggers when new customer feedback is added as a row in Google Sheets. It then uses an AI model to classify the sentiment of the feedback as positive, neutral, or negative. Finally, the classified sentiment is updated back into the same Google Sheet.
This workflow automatically processes newly received emails. It uses AI to classify the email content and any extracted text from attachments into predefined categories. If an email is identified as a job application, AI extracts specific structured data (e.g., name, study, age) from the email and its attachments, which can then be used to update a CRM.
This workflow is manually triggered to extract and compare information from a selected PDF document in Google Drive. It uses GenFuse's OCR capabilities to get text from the PDF, then sends this text to both Claude and Gemini LLMs for specific data extraction based on a custom prompt. The workflow provides the outputs from both LLMs for direct comparison.
This workflow is designed to evaluate and compare the outputs of two different Large Language Models (LLMs). It triggers when a new message is received in Slack, sends the input to two distinct LLMs, logs both responses along with the original input to a Google Sheet for review, and then sends both LLM responses back to the Slack channel for direct comparison.
This workflow automates the process of receiving vendor quotations uploaded to Google Drive. It extracts text from the document, uses AI to extract key fields and then summarize and compare the contents, logs the results into Google Sheets, and sends an email notification to stakeholders.
This workflow is triggered when a new delivery confirmation email is received in Gmail. It utilizes AI to extract critical information such as the delivery date, time, and vendor from the email body. Finally, it automatically creates a new event in Google Calendar, ensuring you never miss a delivery.
This workflow is manually triggered to read a raw meeting transcript from a specified Google Docs file. It then sends the transcript to an AI to generate a structured project summary. Finally, it creates a new Google Docs file in a designated Google Drive folder with the AI-generated summary content.
This workflow automatically runs daily to fetch recent Gmail emails from the past 24 hours. It then uses an AI LLM to analyze the combined email content, identifying key themes, important updates, and summarizing them. Finally, the AI-generated summary is delivered via email.
This workflow triggers when a new email receives a specific label in Gmail. It then leverages an AI model to parse the email content and extract key event details like title, start/end times, and location. Finally, it automatically creates a new event in Google Calendar and sends a confirmation email to the user.
This workflow is triggered when a new email containing health reports is received. It extracts health data from the email or its attachments, analyzes the information using AI to generate a personalized diet plan, and then sends the completed diet plan back to the user via email. Optionally, it logs the process in a Google Sheet.
This workflow automatically retrieves a daily summary of the latest AI news. It uses Perplexity AI to find relevant headlines and an LLM to reformat them into a clean, readable email. The formatted news digest is then sent to your inbox every morning.
Triggered daily, this workflow gathers the latest AI news and trends from various topics using Perplexity AI. It then leverages OpenAI to generate comprehensive content packages, including video scripts, captivating captions, and punchy text overlays, tailored to a founder's persona. Finally, all generated content is saved to a Google Sheet, and a notification email is sent upon completion.
This workflow automatically retrieves top financial headlines from a specified webpage daily. It then uses AI to extract and summarize the key information, generating a concise, investor-friendly report. Finally, the summarized report is sent as an email to a designated recipient.
This workflow runs daily at a scheduled time. It automatically retrieves all of your Google Calendar events for the day, then uses an AI model (like Gemini) to generate a concise summary of these meetings. Finally, it sends the AI-generated summary to a specified Slack channel, keeping you informed without manual effort.
This workflow automatically generates a daily, personalized newsletter by fetching news from Perplexity AI on multiple topics. It formats the aggregated news into a single, beautifully styled HTML email and saves it as a draft in Gmail, with an option to archive the content in Google Sheets.
This workflow provides a daily market intelligence briefing tailored to a user's stock holdings in Google Sheets. It triggers daily, fetches portfolio data, uses AI to research real-time market news, and analyzes its potential impact on holdings. Finally, it delivers personalized insights, risk alerts, and trade suggestions via a messaging app or email.
This workflow takes an AI agent's response and a set of reference documents as input, potentially from a Google Sheet. It then uses a Large Language Model (LLM) to assess if the AI's response is solely based on the information provided in the reference documents, calculating a groundedness score. This helps identify potential AI hallucinations or unreferenced information.
This workflow is designed to run on a schedule, automatically scraping the Amazon Electronics Best Sellers page. It then leverages AI to extract key structured product information like names, prices, and ratings from the scraped content. Finally, this organized data is appended as new rows in a specified Google Sheet, enabling ongoing market analysis.
This workflow automates the process of gathering B2B lead information. It scrapes company data from a given Crunchbase URL, uses AI to extract structured fields and generate an executive summary, then adds the refined data to a Google Sheet. It also saves the raw and processed data to Google Drive for archival and sends a notification to a Slack channel with the new lead insights.
This workflow is triggered when a new row is added to a Google Sheet containing a document link. It processes the document (e.g., a PDF resume) by extracting its text content. Using prompts fetched from another Google Sheet, an AI extracts specific fields of information. Finally, the extracted data is updated back into the original Google Sheet row.
This workflow monitors your Gmail for new emails containing PDF invoice attachments. It uses AI to extract key financial data such as company information, invoice numbers, line items, and taxes from the PDF. Finally, it creates a new Google Sheet, populates it with the extracted data, and organizes the file in Google Drive for accounting purposes.
This workflow automatically triggers when a new PDF invoice is uploaded to a specified Google Drive folder. It extracts key invoice details using AI, logs this data into a Google Sheet, and then generates and sends an email alert to the billing team via Gmail with a summary of the processed invoice.
This workflow starts when a LinkedIn profile URL is provided. It uses GenFuse's LinkedIn Scraper to extract detailed profile information. An AI node then processes this data to structure specific fields like name, company, and education, making it ready for lead enrichment or research. Optionally, the structured data can be sent to a CRM.
This workflow automatically detects new customer feedback submitted via Google Forms (by monitoring a Google Sheet). It then uses AI to analyze the feedback content and extract impactful testimonial quotes. The extracted quotes are saved to a Google Sheet database, and an email notification is sent to the marketing team with the new testimonial.
This workflow is manually triggered by providing a brand URL. It then uses GenFuse's scraping capabilities to extract content from that URL. The extracted content is sent to an AI model (like Google Gemini) for summarization and sentiment analysis, providing insights into brand perception. The final analyzed content can then be displayed or sent to another app.
This workflow starts when new data, such as names or objects for a joke, is added to a Google Sheet. It then uses an AI model to craft a personalized joke based on this input. Finally, the generated joke is automatically sent as an email via Gmail to the specified recipient.
This workflow enables users to generate high-quality Center of Excellence (COE) blog posts. It takes a topic as input, uses AI to create an outline and then the full blog content, saves it as a Google Doc in Google Drive, and then shares the public link via email to stakeholders.
This workflow monitors a specified Google Sheet for new rows. When a new row is added with a topic, it uses AI to generate a detailed description for that topic. Finally, it updates the original row with the generated description and logs the activity in a separate sheet.
This workflow leverages Perplexity AI to generate intelligent responses. Users provide a system-level instruction and a specific user prompt. The workflow processes these inputs and returns an AI-powered answer from Perplexity, making it ideal for research or information retrieval tasks.
This workflow enables users to generate complete stories by providing a story idea and desired format. Utilizing advanced AI (GPT), it intelligently crafts and refines narratives through a series of AI-driven steps, from initial analysis to final polished version. The resulting story is then automatically saved to Google Drive for easy access and management.
This workflow enables users to input a research query and automatically receive a comprehensive, AI-generated report. It utilizes an AI search engine to gather information and an LLM to synthesize and format the data into a well-structured document, ready for review.
This workflow automatically fetches the latest AI trends and updates from the web. It then uses AI to format the retrieved information into a structured newsletter, including sections like headlines, tools, and tips. Finally, it sends the HTML email newsletter via Gmail on a recurring schedule.
This workflow automates the creation of detailed SEO audits for a single target website. It scrapes the website content, uses an AI model (like Claude) to perform technical, content quality, and strategic analyses, and then compiles and delivers professional reports directly to an email recipient.
This workflow generates custom text content using an AI model. It takes a user-defined prompt and other parameters to produce high-quality text. The workflow is triggered manually and outputs the generated text.
This workflow listens for new recipe requests received via Gmail or through a web form. It extracts the user's dietary preferences and cooking requirements, then uses an AI model to generate a personalized food recipe. Finally, it sends the formatted recipe, including ingredients and instructions, back to the user via email.
This workflow automatically drafts email replies. It triggers when a new email arrives in Gmail, extracts its content, and sends it to OpenAI to generate a contextual response. The AI-generated text is then used to create a new draft email in Gmail, ready for review and sending.
This workflow helps marketers and designers quickly draft effective landing page layouts. It triggers manually, scrapes a competitor's website for content and structure, and then uses AI to generate a tailored landing page layout proposal based on the analysis.
This workflow allows you to manually input a phrase for language learning. An AI then generates a detailed description and example sentences for the phrase. Finally, the phrase and its AI-generated content are saved to a Google Sheet, suitable for export to Anki.
This workflow takes a LinkedIn company URL as input. It then scrapes the company's profile data from LinkedIn and uses an AI model (like Google Gemini) to generate a concise, professional company story or narrative based on the extracted information. Finally, the summarized content is delivered via email.
This workflow triggers when new campaign data is added to a Google Sheet. It then uses AI to summarize the marketing campaign's ROI performance and sends a recap email with the summarized report.
This workflow accepts a URL to a research paper, extracts its content using an OCR reader, and then leverages AI to create various summaries. It generates different summary types, such as executive, technical, layperson, and social media posts, to make complex academic content accessible to diverse audiences.
This workflow is triggered manually by user input of a website URL and an email address. It then scrapes the provided website to extract existing SEO schema markup. Utilizing AI, it generates an optimized JSON-LD schema and creates an HTML implementation guide, which is then emailed to the specified recipient.
This workflow enables users to generate personalized cold email openers based on LinkedIn post content. Users manually provide a LinkedIn post and author information, which is then analyzed by AI. The workflow extracts a tailored opener, company name, prospect's name, and suggested next steps, ideal for sales, partnerships, and outreach.
This workflow generates personalized startup ideas by leveraging a multi-stage AI analysis. It starts with user-defined preferences, then analyzes market viability and competition, and finally synthesizes a recommendation. The complete analysis is then sent as an email report via Gmail.
This workflow starts manually by taking a podcast or video transcript as input. It then leverages an AI to generate a concise summary of the content and extract key topics and keywords. Finally, the generated summary and keywords are sent to a specified email address via Gmail, aiding in content repurposing.
This workflow automates the creation of marketing content. When new product details are submitted via a Google Form, it uses an AI to generate compelling ad copy and calls-to-action. The generated content is then automatically posted to a Slack channel for review and logged in Airtable for campaign tracking and reuse.
This workflow takes a list of ingredients as input. It then uses an AI model to suggest creative recipes and recommend up to three missing ingredients to enhance the dish. It also includes a fallback message if the AI service is unavailable.
This workflow allows marketers and content creators to quickly generate targeted SEO keyword lists. Triggered manually, it takes a topic, search intent, and keyword type as input, uses AI to generate relevant keywords, and then emails the formatted list to the user.
This workflow starts manually, allowing users to input their ideal customer profile. It then leverages an AI model to generate a focused list of SEO seed keywords. The outcome is a set of actionable keywords designed to enhance SEO strategy.
This workflow is triggered when a new Google Form is submitted. It takes the details from the form submission and uses an AI to craft a descriptive sprint cycle announcement. Finally, the generated announcement is sent as a message to a specified Slack channel.
This workflow takes a user's request for content, leverages AI to extract platform requirements, audience insights, and brand tone. It then develops a strategic approach and generates a complete, publication-ready social media post or blog article.
This workflow uses an AI Large Language Model (specifically Claude) to generate structured XML system messages. It can be used to create configuration files, detailed instructions, or log entries in a standardized XML format for other AI agents or systems. The workflow is triggered to generate the XML based on provided requirements and outputs the structured message.
This workflow allows users to manually trigger a query to an AI language model with a predefined message. It sends the message, retrieves the AI's response, and then summarizes the content of that response. It's useful for real-time AI prompt testing or educational demonstrations.
This workflow automatically generates draft replies to incoming emails in Gmail. It triggers when a new email is received, uses AI to assess if a response is necessary, and then drafts a suitable reply. The generated draft is then placed in the Gmail thread for review and approval.
This workflow monitors your Gmail inbox for new unread messages. It uses AI to analyze the email content and decide if a response is necessary. If a reply is required, the AI drafts a short, polite response. Finally, the workflow creates a Gmail draft with the AI-generated reply and applies a specific label for easy review, helping users manage their email efficiently.
This workflow enables an AI assistant for Google Calendar. It utilizes OpenAI to interpret natural language requests, allowing users to either create new events or retrieve existing events from their Google Calendar. The workflow is manually triggered, processes user input with AI, and then executes the appropriate calendar action.
This workflow automates the recruitment process by collecting candidate applications from a form. It stores applicant data in Airtable, uploads CVs to Google Drive, and uses AI to evaluate candidates against job descriptions. The workflow then schedules interviews and sends personalized email communications to candidates.
This workflow allows users to interact with their Google Calendar using natural language. It leverages AI to interpret user prompts, determining whether to create new events or retrieve existing ones based on the input, and then performs the corresponding action in Google Calendar.
This workflow is triggered when a new page (row) is added to a Notion database. It automatically scrapes content from a specified URL on that page, uses an AI model to generate a summary and relevant tags, and then updates the original Notion page with the AI-generated summary and tags.
This workflow monitors a Gmail inbox for new emails containing PDF attachments, which are assumed to be candidate CVs. It extracts text from the PDF using OCR and then structures the data using an AI LLM. Finally, the processed candidate information is used to create or update an entry in a specified Notion database.
This workflow analyzes customer feedback using AI to determine sentiment. If the sentiment is negative, it uses AI to decide whether offering a coupon could improve the customer experience. Finally, it creates and sends a personalized email to the customer, streamlining post-purchase engagement and addressing dissatisfaction effectively.
This workflow triggers when a new row is added to a Google Sheet, assessing a lead's commitment score. Based on this score, it uses AI to craft a personalized 'warm' or 'cold' email. The appropriate email is then sent via Gmail, and the interaction details are logged in a separate Google Sheet.
This workflow automatically processes text data from new rows in a Google Sheet using a Large Language Model. It ensures GDPR compliance by routing all AI requests through Requesty.ai's European-based infrastructure, then updates the Google Sheet with the AI's output.
This workflow triggers when a new email containing an inbound order is received in Gmail. It then uses an AI model to extract key order details such as PO number, delivery date, SKU ID, and quantity from the email body. Finally, the extracted information is automatically added as a new row to a specified Google Sheet for logistics tracking.
This workflow automates the qualification of real estate leads. It triggers when a new form submission is received, uses AI to analyze the lead's input (budget, location, etc.) and generate a score. Based on the score, qualified leads trigger an email notification to the agent and are added as a new record in Airtable.
This workflow enables users to perform an AI-powered search using Perplexity AI. Triggered manually, it takes a user's question, sends it to Perplexity AI, and then provides a direct, real-time answer as the workflow's outcome.
This workflow automatically tracks key sales pipeline metrics from HubSpot, feeds the data into OpenAI for anomaly detection, and sends actionable insights as alerts to Slack. Daily snapshots of pipeline data are archived in Google Sheets for trend analysis, eliminating manual CRM exports and improving revenue health monitoring.
This workflow allows users to submit details about an existing AI agent's system prompt, including its purpose, current performance, and areas for improvement. An AI model (LLM) evaluates this input to generate an improved system prompt and provides insightful notes. The refined prompt and notes are then delivered to the user via email for quick iteration.
This workflow automatically receives new emails in Gmail, filters them by sender, and uses an AI assistant (e.g., GPT-4) to generate a professional reply based on predefined instructions and examples. The AI-generated reply is then sent back to the original sender via Gmail, streamlining email communication.
This workflow automates the generation of daily restaurant insights. It fetches sales, food waste, and customer feedback data from Google Sheets. It then uses AI to analyze this data and generate actionable insights, such as top performers, waste reduction recommendations, and feedback summaries. Finally, it compiles these into a comprehensive report and sends this AI-generated report as an email via Gmail, scheduled to run daily.
This workflow runs on a schedule to aggregate news content from multiple specified Forex sources. It then uses AI to perform sentiment analysis and summarize key market insights for a chosen currency pair. Finally, it sends these real-time alerts or detailed reports to a Slack channel.
This workflow is manually triggered by providing a website URL. It scrapes the content of the given URL and then leverages AI to extract key topics and generate a comprehensive list of SEO keywords. Finally, the extracted information, including the URL, topics, and keywords, is stored or updated in an Airtable base.
This workflow streamlines the process of screening job applications. It triggers when a new email with a PDF resume attachment is received in Gmail. The workflow then extracts text and key candidate details from the resume using AI, evaluates and scores the candidate based on predefined criteria, and finally logs all the candidate's information, including their score, into a Google Sheet for easy management.
This workflow automates resume screening. When a new resume (PDF) is submitted via a Google Form, its content is extracted and analyzed by AI. Based on the AI's evaluation and a set score threshold, the candidate is either accepted or rejected. The outcome is logged to the appropriate Google Sheet, and a personalized follow-up email (invite or rejection) is sent via Gmail.
This workflow is designed for busy professionals to manage incoming emails efficiently. It triggers when a new unread email arrives in Gmail, extracts its content, and then uses an AI model to create a concise summary. The workflow concludes by sending this AI-summarized alert, including the sender, to a specified Slack channel, helping users stay informed without reading every email.
This workflow automatically monitors an inbox for new lab report PDFs. It extracts text from the PDF, simplifies medical jargon using AI, formats the report into a patient-friendly email, and then sends it to the recipient. This helps patients understand their results and precautionary advice easily.
This workflow automates the interview preparation process for recruiters. It triggers upon a new candidate application via a form, processing their resume PDF, job role, and interview round. The system extracts relevant data from the resume and retrieves the job description from Google Sheets and Drive. An AI then analyzes this information to generate tailored interview questions and expected answers, delivering a comprehensive report via email to the hiring team.
This workflow manually triggers, allowing you to process a specific Google Drive file. It retrieves the content of the document and then leverages an AI model to generate a concise summary. This is ideal for quickly understanding the core information in long documents stored in Google Drive.
This workflow monitors a designated email inbox for new Microsoft 365 outage alert emails. Upon receiving an alert, it checks if the outage impacts specific user regions based on pre-set conditions. It then uses AI to summarize the incident and sends a formatted message to a specific Slack channel, finally archiving the original email.
This workflow allows users to log expenses by sending a simple chat message. An AI analyzes the message to extract details like description, cost, and date, then records this information as a new row in a specified Google Sheet. It then confirms the entry via a chat message.
This workflow automates the conversion of raw hiring intake meeting transcripts. It triggers when a new Google Doc is created containing the transcript. An AI then processes this raw text, transforming it into a structured hiring brief and a scorecard template, which is subsequently saved into a new Google Doc.
This workflow starts when a user emails a raw voice transcript. It then retrieves style examples from a Google Doc to guide the AI. An AI node processes the transcript, transforming it into a polished, coherent LinkedIn post. Finally, the workflow emails the professional content, along with a suggested image description, back to the user.
This workflow automatically processes incoming emails from various users, utilizing AI to convert their content into actionable tasks. It retrieves user-specific task configurations from an Airtable database, creates new task pages in Notion, and then marks the original email as processed in Gmail. It also handles errors by sending a notification email.
This workflow automatically sends a weekly digest of the latest AI news. Every Monday, it uses Perplexity AI to research current developments, then an AI node summarizes and categorizes the findings. Finally, it formats this information into an HTML email and sends it to a specified recipient.
This workflow automatically compiles a weekly Hollywood film industry briefing. It triggers on a schedule, uses AI-powered search to gather information on movie releases, box office results, and industry news, and then leverages an LLM to summarize the findings into a concise, email-friendly format. Finally, it sends the personalized briefing via Gmail.