🚀 Local Multi-LLM Testing & Performance Tracker This workflow is perfect for developers, researchers, and data scientists benchmarking multiple LLMs with LM Studio. It dynamically fetches active models, tests prompts, and tracks metrics like word count, readability, and response time, logging results into Google Sheets. Easily adjust temperature 🔥 and top P 🎯 for flexible model testing. Level of Effort: 🟢 Easy – Minimal setup with customizable options. Setup Steps: Install LM Studio and configure models. Update IP to connect to LM Studio. Create a Google Sheet for result tracking. Key Outcomes: Benchmark LLM performance. Automate results in Google Sheets for easy comparison.
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Google SheetsWHTTP Request
OpenAI Chat ModelRelated workflows
See all AI Automation→Extract Twilio voice donation details with Groq, Gemini, and Google Sheets
Quick overview This workflow receives Twilio call recording callbacks, transcribes the audio with Groq Whisper, uses Google Gemini/Groq LLMs to extract structured donation details, and appends the results (with transcript and review flag) to Google Sheets. How it works Receives a Twilio Recording Status Callback webhook and immediately responds with TwiML (``). Captures call metadata (CallSid, caller number, recording URL/SID, and duration) and continues only if the recording exists and is at least 2 seconds long. Waits briefly for Twilio to finalize the media, then downloads the recording MP3 using Twilio HTTP Basic Auth. Sends the audio file to Groq’s Whisper transcription endpoint to generate a text transcript. Uses a LangChain prompt with Google Gemini and Groq chat models to extract donation amount, fee (if mentioned), beneficiary name, currency, a needs-review flag, and a short summary from the transcript. Parses the model output as JSON and falls back to an error summary with needs_review=yes if parsing fails. Checks Google Sheets for an existing row matching the CallSid/RecordingUrl and, if not found, appends a new row with the extracted fields, transcript, and call details
Schedule weekly focus-time blocks with Google Calendar, OpenAI, and Slack
Quick overview This workflow runs every Sunday at 18:00 to scan your Google Calendar for next week, find free gaps of at least two hours within your working hours, auto-book them as “🧘 Focus Time” events, and then DM you a personalized deep-work plan in Slack using OpenAI. How it works Runs every Sunday at 18:00 on a schedule. Loads your working-hour preferences and fetches all events from your Google Calendar. Calculates weekday-only free gaps within your working hours and keeps only gaps that meet the minimum block length. If no qualifying gap exists, sends you a Slack DM warning that next week is too fragmented for a focus block. If gaps exist, limits the number of blocks for the week and creates “🧘 Focus Time (protected by n8n)” events in Google Calendar for each selected slot. Uses OpenAI to generate a short, personal Slack message that lists the protected blocks and suggests what kind of work fits each. Sends the generated deep-work plan to you as a Slack DM. Setup Add Google Calendar credentials, select the calendar to read from and the calendar to create “🧘 Focus Time” events in. Add Slack credentials and set your target Slack username in both the plan DM and warning mes
Extract and validate invoice data from Google Drive using OCR.Space, Gemini, and Google Sheets
Quick overview This workflow monitors a Google Drive folder for newly uploaded invoice files, extracts text with OCR.Space, uses Google Gemini to convert the OCR text into structured invoice fields, validates required values, then stores results in Google Sheets and sends Gmail notifications for success or manual review. How it works Triggers when a new file is created in a specified Google Drive folder. Downloads the uploaded invoice file from Google Drive and checks that the MIME type is PDF, JPG, JPEG, or PNG. Sends the file to the OCR.Space API to extract the invoice text and stops if OCR reports a processing error. Uses Google Gemini to convert the OCR text into structured JSON containing supplier, invoice metadata, amounts, currency, and line items. Validates and normalizes the extracted fields, flags missing required values, and marks the record for manual review when needed. If manual review is required, sends a Gmail alert listing missing fields; otherwise, appends key invoice fields to Google Sheets and sends a Gmail confirmation email. Setup Connect Google Drive OAuth2 credentials and set the folder ID to watch for invoice uploads. Provide an OCR.Space API key and ensure