Quick Overview This workflow runs daily to find dormant real estate leads in Google Sheets, uses Google Gemini to draft personalized winback emails, sends them via Gmail, updates the lead records, and then posts a run summary digest to Gmail and optionally to Slack. How it works Runs every day at 8am on a schedule. Pulls all lead records from a Google Sheets spreadsheet. Filters to leads that have an email address, are not marked “Do Not Contact,” and have not been contacted in at least 30 days. Processes each dormant lead in turn by prompting Google Gemini to generate a short re-engagement email subject and body based on the lead’s name, property interest, and days since last contact. Sends the generated message to the lead via Gmail and updates the corresponding row in Google Sheets (for example, tracking status and re-engagement attempt count). Aggregates the run results and sends a summary digest to a specified Gmail address and to a Slack channel. Setup Connect credentials for Google Sheets, Gmail, and Google Gemini (PaLM) API.
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Qualify leads and send personalized audio follow-ups with Gemini and Smallest.ai
Quick Overview This workflow receives lead submissions via a webhook, uses Google Gemini to qualify the lead and write a personalized spoken follow-up script, and for qualified leads generates an MP3 with Smallest.ai, shares it from Google Drive, emails it via Gmail, logs outcomes to Google Sheets, and alerts sales in Slack. How it works Receives a POST webhook request containing a lead’s name, email, and message. Sends the lead details to a Google Gemini–powered AI agent to determine whether the lead is qualified and, if so, generate a short personalized audio script. Parses the agent’s JSON response and routes the workflow based on the qualified flag. If the lead is qualified, Smallest.ai synthesizes the script into an MP3 and uploads it to Google Drive. Shares the Google Drive audio file publicly and sends the lead a Gmail message with a link to listen. Appends the qualified lead record (including the audio link and timestamp) to Google Sheets and posts a notification to a Slack channel. If the lead is unqualified, appends the lead details and timestamp to Google Sheets without generating audio or sending email. Setup Enable the webhook and copy the generated /lead-capture URL i
Triage supplier capacity risk with Groq, Gmail, Slack, and Google Sheets
Quick overview This workflow runs daily to pull supplier performance data from an HTTP endpoint, calculate fulfillment and delay risk metrics, use Groq (Llama 3.3) to classify supplier risk and generate mitigation actions, then notify via Gmail and Slack and log outcomes to Google Sheets. How it works Runs every day at the scheduled time. Fetches supplier performance data from an HTTP API and stops if the supplier has no orders. Normalizes the supplier fields and calculates fulfillment rate, delay, rule-based flags, and a risk score. Sends the metrics to Groq (Llama 3.3) to classify risk (Low/Medium/High) with a reason and confidence, then merges the AI result with the computed metrics (falling back to the rule-based classification if parsing fails). If the AI risk is Medium, Groq generates three mitigation actions and the workflow fetches backup supplier options from an HTTP API, then combines both into a single alert payload. Sends the mitigation actions by Gmail email and Slack message, then appends a “high risk” audit row to Google Sheets. If the AI risk is not Medium, appends a “no alert sent” audit row to Google Sheets with the assessed risk details. Setup Add Groq API creden
Analyze YouTube comments with OpenAI, Google Sheets, and Gmail
Quick overview This workflow monitors a Google Sheets list of YouTube video IDs, fetches video details and top comments from the YouTube Data API, analyzes the comments with OpenAI into structured sentiment and themes, emails an HTML report via Gmail, and writes the results back to Google Sheets. How it works Triggers every minute when a row in Google Sheets is added or updated. Reads the video ID and status from the row and continues only if the status is set to “Pending”. Calls the YouTube Data API to fetch the video’s metadata and the top comment threads for that video. Flattens the comment threads, calculates basic stats (comment count and average likes), and compiles a limited comment text block for analysis. If comments exist, sends the compiled comments and video title to OpenAI to generate a structured analysis (sentiment score, sentiment breakdown, themes, questions, feedback, insights, and summary). Builds an HTML email report from the structured results, sends it to the configured recipient with Gmail, and updates the Google Sheet row with the analysis fields; if no comments exist, marks the row as “No comments”. Setup Create or duplicate a Google Sheet with at least “Vi