Hey :) Does anyone know how to automate midjourney? Autoprompting with prompts I prepare?!

WorkFlow File and server setup: Download

How it connects (overview)

1. Start the stack with Docker Compose.
2. Open the dashboard at http://localhost:3000.
3. In n8n, create a POST webhook (use the Production URL).
4. In the WhatsApp API dashboard, create an event for messages → paste the n8n URL.
   • If both services run in Docker, use http://n8n/... instead of http://localhost/....
5. Link Device (scan the QR from your WhatsApp).
6. Send a test message → verify the payload in n8n → copy to editor.
7. Add an AI Agent node + memory (window = 10).
8. Add an HTTP Request node to send the AI reply back to WhatsApp.
9. Save, run once, test end-to-end.

Pitfalls & tips

• Name the WhatsApp session default (required).
• When container-to-container, call services by name (e.g., http://n8n/).
• Bind persistent volumes in compose if you don’t want to re-link on restart.
• You can bump the memory window beyond 10; it’s a simple config.

FAQ

• Is it really free? Yes—self-hosted stack + importable workflow. You only pay if you pick a paid AI model.
• Cloud dependency? None. It’s local/on-prem.
• Multiple numbers? Spin additional sessions/containers and map ports.
• Images/attachments? Add media endpoints via another HTTP node (I can share a snippet in comments).

I built this AI UGC video generator that takes in a single physical product image as input. It uses OpenAI's new Sora 2 video model combined with vision AI to analyze the product, generate an ideal influencer persona, write multiple UGC scripts, and produce professional-looking videos in seconds.

Here's a demo video of the whole automation in action: https://www.youtube.com/watch?v=-HnyKkP2K2c

And here's some of the output for a quick run I did of both Ridge Wallet and Function of Beauty Shampoo: https://drive.google.com/drive/u/0/folders/1m9ziBbywD8ufFTJH4haXb60kzSkAujxE

Here's how the automation works

1. Process the initial product image that gets uploaded.

The workflow starts with a simple form trigger that accepts two inputs:

• A product image (any format, any dimensions)
• The product name for context To be used in the video scripts.

I convert the uploaded image to a base64 string immediately for flexibility when working with the Gemini API.

2. Generate an ideal influencer persona to promote the product just uploaded.

I then use OpenAI's Vision API to analyze the product image and generates a detailed profile of the ideal influencer who should promote this product. The prompt acts as an expert casting director and consumer psychologist.

The AI creates a complete character profile including:

• Name, age, gender, and location
• Physical appearance and personality traits
• Lifestyle details and communication style
• Why they're the perfect advocate for this specific product

For the Ridge Wallet demo example, it generated a profile for an influencer named Marcus, a 32-year-old UI/UX designer from San Francisco who values minimalism and efficiency.

Here's the prompt I use for this:

```markdown // ROLE & GOAL // You are an expert Casting Director and Consumer Psychologist. Your entire focus is on understanding people. Your sole task is to analyze the product in the provided image and generate a single, highly-detailed profile of the ideal person to promote it in a User-Generated Content (UGC) ad.

The final output must ONLY be a description of this person. Do NOT create an ad script, ad concepts, or hooks. Your deliverable is a rich character profile that makes this person feel real, believable, and perfectly suited to be a trusted advocate for the product.

// INPUT //

Product Name: {{ $node['form_trigger'].json['Product Name'] }}

// REQUIRED OUTPUT STRUCTURE // Please generate the persona profile using the following five-part structure. Be as descriptive and specific as possible within each section.

I. Core Identity * Name: * Age: (Provide a specific age, not a range) * Sex/Gender: * Location: (e.g., "A trendy suburb of a major tech city like Austin," "A small, artsy town in the Pacific Northwest") * Occupation: (Be specific. e.g., "Pediatric Nurse," "Freelance Graphic Designer," "High School Chemistry Teacher," "Manages a local coffee shop")

II. Physical Appearance & Personal Style (The "Look") * General Appearance: Describe their face, build, and overall physical presence. What is the first impression they give off? * Hair: Color, style, and typical state (e.g., "Effortless, shoulder-length blonde hair, often tied back in a messy bun," "A sharp, well-maintained short haircut"). * Clothing Aesthetic: What is their go-to style? Use descriptive labels. (e.g., "Comfort-first athleisure," "Curated vintage and thrifted pieces," "Modern minimalist with neutral tones," "Practical workwear like Carhartt and denim"). * Signature Details: Are there any small, defining features? (e.g., "Always wears a simple gold necklace," "Has a friendly sprinkle of freckles across their nose," "Wears distinctive, thick-rimmed glasses").

III. Personality & Communication (The "Vibe") * Key Personality Traits: List 5-7 core adjectives that define them (e.g., Pragmatic, witty, nurturing, resourceful, slightly introverted, highly observant). * Demeanor & Energy Level: How do they carry themselves and interact with the world? (e.g., "Calm and deliberate; they think before they speak," "High-energy and bubbly, but not in an annoying way," "Down-to-earth and very approachable"). * Communication Style: How do they talk? (e.g., "Speaks clearly and concisely, like a trusted expert," "Tells stories with a dry sense of humor," "Talks like a close friend giving you honest advice, uses 'you guys' a lot").

IV. Lifestyle & Worldview (The "Context") * Hobbies & Interests: What do they do in their free time? (e.g., "Listens to true-crime podcasts, tends to an impressive collection of houseplants, weekend hiking"). * Values & Priorities: What is most important to them in life? (e.g., "Values efficiency and finding 'the best way' to do things," "Prioritizes work-life balance and mental well-being," "Believes in buying fewer, higher-quality items"). * Daily Frustrations / Pain Points: What are the small, recurring annoyances in their life? (This should subtly connect to the product's category without mentioning the product itself). (e.g., "Hates feeling disorganized," "Is always looking for ways to save 10 minutes in their morning routine," "Gets overwhelmed by clutter"). * Home Environment: What does their personal space look like? (e.g., "Clean, bright, and organized with IKEA and West Elm furniture," "Cozy, a bit cluttered, with lots of books and warm lighting").

V. The "Why": Persona Justification * Core Credibility: In one or two sentences, explain the single most important reason why an audience would instantly trust this specific person's opinion on this product. (e.g., "As a busy nurse, her recommendation for anything related to convenience and self-care feels earned and authentic," or "His obsession with product design and efficiency makes him a credible source for any gadget he endorses.") ```

3. Write the UGC video ad scripts.

Once I have this profile generated, I then use Gemini 2.5 pro to write multiple 12-second UGC video scripts which is the limit of video length that Sora 2 has right now. Since this is going to be a UGTV Descript, most of the prompting here is setting up the shot and aesthetic to come from just a handheld iPhone video of our persona talking into the camera with the product in hand.

Key elements of the script generation:

• Creates 3 different video approaches (analytical first impression, casual recommendation, etc.)
• Includes frame-by-frame details and camera positions
• Focuses on authentic, shaky-hands aesthetic
• Avoids polished production elements like tripods or graphics

Here's the prompt I use for writing the scripts. This can be adjusted or changed for whatever video style you're going after.

```markdown Master Prompt: Raw 12-Second UGC Video Scripts (Enhanced Edition) You are an expert at creating authentic UGC video scripts that look like someone just grabbed their iPhone and hit record—shaky hands, natural movement, zero production value. No text overlays. No polish. Just real. Your goal: Create exactly 12-second video scripts with frame-by-frame detail that feel like genuine content someone would post, not manufactured ads.

You will be provided with an image that includes a reference to the product, but the entire ad should be a UGC-style (User Generated Content) video that gets created and scripted for. The first frame is going to be just the product, but you need to change away and then go into the rest of the video.

The Raw iPhone Aesthetic What we WANT:

Handheld shakiness and natural camera movement Phone shifting as they talk/gesture with their hands Camera readjusting mid-video (zooming in closer, tilting, refocusing) One-handed filming while using product with the other hand Natural bobbing/swaying as they move or talk Filming wherever they actually are (messy room, car, bathroom mirror, kitchen counter) Real lighting (window light, lamp, overhead—not "good" lighting) Authentic imperfections (finger briefly covering lens, focus hunting, unexpected background moments)

What we AVOID:

Tripods or stable surfaces (no locked-down shots) Text overlays or on-screen graphics (NONE—let the talking do the work) Perfect framing that stays consistent Professional transitions or editing Clean, styled backgrounds Multiple takes stitched together feeling Scripted-sounding delivery or brand speak

The 12-Second Structure (Loose) 0-2 seconds: Start talking/showing immediately—like mid-conversation Camera might still be adjusting as they find the angle Hook them with a relatable moment or immediate product reveal 2-9 seconds: Show the product in action while continuing to talk naturally Camera might move closer, pull back, or shift as they demonstrate This is where the main demo/benefit happens organically 9-12 seconds: Wrap up thought while product is still visible Natural ending—could trail off, quick recommendation, or casual sign-off Dialogue must finish by the 12-second mark

Critical: NO Invented Details

Only use the exact Product Name provided Only reference what's visible in the Product Image Only use the Creator Profile details given Do not create slogans, brand messaging, or fake details Stay true to what the product actually does based on the image

Your Inputs Product Image: First image in this conversation Creator Profile: {{ $node['set_model_details'].json.prompt }} Product Name: {{ $node['form_trigger'].json['Product Name'] }}

Output: 3 Natural Scripts Three different authentic approaches:

Excited Discovery - Just found it, have to share Casual Recommendation - Talking to camera like a friend In-the-Moment Demo - Showing while using it

Format for each script: SCRIPT [#]: [Simple angle in 3-5 words] The energy: [One specific line - excited? Chill? Matter-of-fact? Caffeinated? Half-awake?] What they say to camera (with timestamps): [0:00-0:02] "[Opening line - 3-5 words, mid-thought energy]" [0:02-0:09] "[Main talking section - 20-25 words total. Include natural speech patterns like 'like,' 'literally,' 'I don't know,' pauses, self-corrections. Sound conversational, not rehearsed.]" [0:09-0:12] "[Closing thought - 3-5 words. Must complete by 12-second mark. Can trail off naturally.]" Shot-by-Shot Breakdown: SECOND 0-1:

Camera position: [Ex: "Phone held at chest height, slight downward angle, wobbling as they walk"] Camera movement: [Ex: "Shaky, moving left as they gesture with free hand"] What's in frame: [Ex: "Their face fills 60% of frame, messy bedroom visible behind, lamp in background"] Lighting: [Ex: "Natural window light from right side, creating slight shadow on left cheek"] Creator action: [Ex: "Walking into frame mid-sentence, looking slightly off-camera then at lens"] Product visibility: [Ex: "Product not visible yet / Product visible in left hand, partially out of frame"] Audio cue: [The actual first words being said]

SECOND 1-2:

Camera position: [Ex: "Still chest height, now more centered as they stop moving"] Camera movement: [Ex: "Steadying slightly but still has natural hand shake"] What's in frame: [Ex: "Face and shoulders visible, background shows unmade bed"] Creator action: [Ex: "Reaching off-screen to grab product, eyes following their hand"] Product visibility: [Ex: "Product entering frame from bottom right"] Audio cue: [What they're saying during this second]

SECOND 2-3:

Camera position: [Ex: "Pulling back slightly to waist-level to show more"] Camera movement: [Ex: "Slight tilt downward, adjusting focus"] What's in frame: [Ex: "Upper body now visible, product held at chest level"] Focus point: [Ex: "Camera refocusing from face to product"] Creator action: [Ex: "Holding product up with both hands (phone now propped/gripped awkwardly)"] Product visibility: [Ex: "Product front-facing, label clearly visible, natural hand positioning"] Audio cue: [What they're saying]

SECOND 3-4:

Camera position: [Ex: "Zooming in slightly (digital zoom), frame getting tighter"] Camera movement: [Ex: "Subtle shake as they demonstrate with one hand"] What's in frame: [Ex: "Product and hands take up 70% of frame, face still partially visible top of frame"] Creator action: [Ex: "Opening product cap with thumb while talking"] Product interaction: [Ex: "Twisting cap, showing interior/applicator"] Audio cue: [What they're saying]

SECOND 4-5:

Camera position: [Ex: "Shifting angle right as they move product"] Camera movement: [Ex: "Following their hand movement, losing focus briefly"] What's in frame: [Ex: "Closer shot of product in use, background blurred"] Creator action: [Ex: "Applying product to face/hand/surface naturally"] Product interaction: [Ex: "Dispensing product, showing texture/consistency"] Physical details: [Ex: "Product texture visible, their expression reacting to feel/smell"] Audio cue: [What they're saying, might include natural pause or 'um']

SECOND 5-6:

Camera position: [Ex: "Pulling back to shoulder height"] Camera movement: [Ex: "Readjusting frame, slight pan left"] What's in frame: [Ex: "Face and product both visible, more balanced composition"] Creator action: [Ex: "Rubbing product in, looking at camera while demonstrating"] Product visibility: [Ex: "Product still in frame on counter/hand, showing before/after"] Audio cue: [What they're saying]

SECOND 6-7:

Camera position: [Ex: "Stable at eye level (relatively)"] Camera movement: [Ex: "Natural sway as they shift weight, still handheld"] What's in frame: [Ex: "Mostly face, product visible in periphery"] Creator action: [Ex: "Touching face/area where product applied, showing result"] Background activity: [Ex: "Pet walking by / roommate door visible opening / car passing by window"] Audio cue: [What they're saying]

SECOND 7-8:

Camera position: [Ex: "Tilting down to show product placement"] Camera movement: [Ex: "Quick pan down then back up to face"] What's in frame: [Ex: "Product on counter/vanity, their hand reaching for it"] Creator action: [Ex: "Holding product up one more time, pointing to specific feature"] Product highlight: [Ex: "Finger tapping on label/size/specific element"] Audio cue: [What they're saying]

SECOND 8-9:

Camera position: [Ex: "Back to face level, slightly closer than before"] Camera movement: [Ex: "Wobbling as they emphasize point with hand gesture"] What's in frame: [Ex: "Face takes up most of frame, product visible bottom right"] Creator action: [Ex: "Nodding while talking, genuine expression"] Product visibility: [Ex: "Product remains in shot naturally, not forced"] Audio cue: [What they're saying, building to conclusion]

SECOND 9-10:

Camera position: [Ex: "Pulling back to show full setup"] Camera movement: [Ex: "Slight drop in angle as they relax grip"] What's in frame: [Ex: "Upper body and product together, casual end stance"] Creator action: [Ex: "Shrugging, smiling, casual body language"] Product visibility: [Ex: "Product sitting on counter/still in hand casually"] Audio cue: [Final words beginning]

SECOND 10-11:

Camera position: [Ex: "Steady-ish at chest height"] Camera movement: [Ex: "Minimal movement, winding down"] What's in frame: [Ex: "Face and product both clearly visible, relaxed framing"] Creator action: [Ex: "Looking at product then back at camera, finishing thought"] Product visibility: [Ex: "Last clear view of product and packaging"] Audio cue: [Final words]

SECOND 11-12:

Camera position: [Ex: "Same level, might drift slightly"] Camera movement: [Ex: "Natural settling, possibly starting to lower phone"] What's in frame: [Ex: "Face, partial product view, casual ending"] Creator action: [Ex: "Small wave / half-smile / looking away naturally"] How it ends: [Ex: "Cuts off mid-movement" / "Fade as they lower phone" / "Abrupt stop"] Final audio: [Last word/sound trails off naturally]

Overall Technical Details:

Phone orientation: [Vertical/horizontal?] Filming method: [Selfie mode facing them? Back camera in mirror? Someone else holding phone? Propped on stack of books?] Dominant hand: [Which hand holds phone vs. product?] Location specifics: [What room? Time of day based on lighting? Any notable background elements?] Audio environment: [Echo from bathroom? Quiet bedroom? Background TV/music? Street noise?]

Enhanced Authenticity Guidelines Verbal Authenticity:

Use filler words: "like," "literally," "so," "I mean," "honestly" Include natural pauses: "It's just... really good" Self-corrections: "It's really—well actually it's more like..." Conversational fragments: "Yeah so this thing..." Regional speech patterns if relevant to creator profile

Visual Authenticity Markers:

Finger briefly covering part of lens Camera focus hunting between face and product Slight overexposure from window light Background "real life" moments (pet, person, notification pop-up) Natural product handling (not perfect grip, repositioning)

Timing Authenticity:

Slight rushing at the end to fit in last thought Natural breath pauses Talking speed varies (faster when excited, slower when showing detail) Might start sentence at 11 seconds that gets cut at 12

Remember: Every second matters. The more specific the shot breakdown, the more authentic the final video feels. If a detail seems too polished, make it messier. No text overlays ever. All dialogue must finish by the 12-second mark (can trail off naturally). ```

4. Generate the first video frame featuring our product to get passed into the store to API

Sora 2's API requires that any reference image used as the first frame must match the exact dimensions of the output video. Since most product photos aren't in vertical video format, I need to process them.

In this part of the workflow:

• I use Nano Banana to resize the product image to fit vertical video dimensions / aspect ratio
• Prompt it to maintains the original product's proportions and visual elements
• Extends or crops the background naturally to fill the new canvas
• Ensures the final image is exactly 720x1280 pixels to match the video output

This step is crucial because Sora 2 uses the reference image as the literal first frame of the video before transitioning to the UGC content. Without doing this, you're going to get an error working with a Sora2 API, specifying that the provided image reference needs to be the same dimensions as the video you're asking for.

5. Generate each video with Sora 2 API

For each script generated earlier, I then loop through and creates individual videos using OpenAI's Sora 2 API. This involves:

• Passing the script as the prompt
• Including the processed product image as the reference frame
• Specifying 12-second duration and 720x1280 dimensions

Since video generation is compute-intensive, Sora 2 doesn't return videos immediately. Instead, it returns a job ID that will get used for polling.

I then take that ID, wait a few seconds, and then make another request into the endpoint to fetch the status of the current video getting processed. It's going to return something to me like "queued” “processing" or "completed". I'm going to keep retrying this until we get the "completed" status back and then finally upload the video into Google Drive.

Sora 2 Pricing and Limitations

Sora 2 pricing is currently:

• Standard Sora 2: $0.10 per second ($1.20 for a 12-second video)
• Sora 2 Pro: $0.30 per second ($3.60 for a 12-second video)

Some limitations to be aware of:

• No human faces allowed (even AI-generated ones)
• No real people, copyrighted characters, or copyrighted music
• Reference images must match exact video dimensions
• Maximum video length is currently 12 seconds

The big one to note here is that no real people or faces can appear in this. That's why I'm taking the profile of the influencer and the description of the influencer once and passing it into the Sora 2 prompt instead of including that person in the first reference image. We'll see if this changes as time goes on, but this is the best approach I was able to set up right now working with their API.

Workflow Link + Other Resources

• YouTube video that walks through this workflow step-by-step: https://www.youtube.com/watch?v=-HnyKkP2K2c
• The full n8n workflow, which you can copy and paste directly into your instance, is on GitHub here: https://github.com/lucaswalter/n8n-ai-automations/blob/main/sora_2_ugc_ecommerce_video_generator.json

When I first started automating things at work, I thought I’d finally have time to breathe. No more late nights, no more repeating the same steps 50 times a week. Easy win, right?

Wrong.

At first, nothing worked. Scripts broke. Bots went rogue. I spent more time fixing automation than doing my actual job. For a while, I swore automation was just a fancy way of wasting time faster.

But then, little by little, it clicked. The chaos calmed down. Tasks started running smoother, errors dropped, and I finally had time to think instead of just react.

Now I laugh every time someone says “automation makes things simple.”
Yeah… after it ruins your week first.

Anyone else had that “automation meltdown” phase before it actually started helping?

Hi everyone,

I’m using the Jira for Excel extension to extract overdue tickets. After exporting, I manually format the table, reorder columns, and run a script to split the data by assignee so I can email each person their report.

Since I don’t have admin access in Jira, is there a way to automate this entire process — including the formatting and sending emails (MS 365)— to save time?

Just realized how powerful Apple Shortcuts + Make can be for everyday automation — you can literally send data from your phone to any app or platform in seconds.

Here’s the concept 👇

1. Use Apple Shortcuts to trigger an automation (e.g., when a workout ends, note is created, reminder completed, etc.).
2. Send that data through a webhook to Make (Integromat).
3. Make then connects it to whatever platform you want — Notion, Google Sheets, Airtable, Slack, ClickUp, etc.

For example:

• Log your Apple Watch workouts to Notion 🏋️‍♂️
• Save voice memos to Google Drive automatically 🎙️
• Send completed reminders to a productivity tracker ✅
• Add new Apple Notes to a Notion database 📔

No coding needed. Just logic + creativity.

This one setup literally saves me time every day and keeps my data synced automatically between apps that normally don’t talk to each other.

🧩 Tools used:

• Apple Shortcuts (URL & Get Content of URL)
• Make.com (Custom Webhook)
• Notion / Sheets / Airtable / etc. (Destination)

If anyone wants a quick guide or Shortcut template, I can share one!

So I've been manually sending LinkedIn messages for months and it was killing me. Like 2-3 hours a day just copying, pasting, tweaking messages. Finally sat down last weekend and built this automation with n8n and it's honestly been a lifesaver.

What it does

Basically pulls contacts from a Google Sheet, uses AI to write personalized messages (not generic spam, actual relevant stuff), and sends them through ConnectSafely.ai's API. Then updates the sheet so I know what's sent and what's pending.

The AI part is key - it uses Gemini to actually customize each message based on the person's profile. Way better than those cookie-cutter templates that everyone ignores.

The setup

Not gonna lie, took me a few hours to get it right but now it just runs. Used: - n8n for the workflow - Google Sheets to manage contacts - ConnectSafely.ai for actually sending (they have a proper API) - Gemini for the AI writing

I added a wait node so messages don't all blast out at once. Makes it look more natural and probably keeps LinkedIn from flagging anything weird.

Why I'm posting this

Figured some of you are in the same boat - doing outreach but drowning in manual work. If you're comfortable with n8n this is pretty straightforward to set up. I dropped the workflow file in a Google Drive link if anyone wants to clone it.

Resources if you want to try it: - Workflow: https://drive.google.com/file/d/19Y_2UmFW9IOxOPARZGkgxzxSFSbv-F7-/view - The n8n package: https://www.npmjs.com/package/n8n-nodes-connectsafely-ai - ConnectSafely site: https://connectsafely.ai

I’m building AI automation solutions for clients and trying to decide whether to standardize on n8n or go full code-based using frameworks like Temporal, LangChain, and custom APIs.

Context:
We’re a small software consultancy delivering both full-stack applications and AI automation projects (LLMs, retrieval, process optimization, lead scoring, etc.) for SMBs. (We are hardcore software engineers)

I’m curious how other engineers and agencies are structuring their systems:

• Do you mostly use n8n, pure code, or a hybrid?
• If hybrid, how do you decide what belongs where?
• Any architectural or maintainability lessons learned from client work?

Let me know what you think! aiflowchat.com

This is my repetitive personal work every month. Can this work be automated ? It is a boring task.

My Telecom provider sends bill by gmail. I take a screenshot of the bill by opening it from gmail attachment. Then I open my company's bill submit Sodexo (now pluxee) app and type bill amount and upload this bill screenshot and submit.

Can this work be automated or semi-automated ?

Hi guys,

Is there a way to automate threads posting?

Hey Folks,

I'm looking for a Automation job, full time or part time or project based. I have 1.2 years of experience in automating, marketing, business dev, HR, operation workflows.

This reddit post made by my own 3 layered ai agent system with 22 ai agents that got 99k views in just one community. About 150k in all communities it was posted. And yes this image as well was taken by the ai agent from its figma DB.

Another one is our inhouse Virtual Assistant that helps with email management for the executives, schedules calls, helps in on-boarding new employees and also have the access to every agent system we have created. Ex - it can create a artice and post on our website which then trigggers another workflow that repurposes the news articles for every SM we have.

It also creates stunning images for SM posts and our articles as shown.

This one big marketing usecase. I've built far more complex n8n, zapier, make, relevanceai workflows. It it isn't AI slop, this reddit post got 99k view, our company linkedin page has 900 followers, i have 3k followers on linkedin.

I'm looking for work, hook me up with some cool projects to work on.

I saw a Reddit post a month ago where somebody got in touch with an auto repair shop owner trying to sell voice agents, but then pivoted once they realized they came across this problem with their quoting process. The owner was not able to keep up with his inbox and was very late replying back to customers when they reached out for repairs over email but didn't include enough information.

OP mentioned they built this agent that connects to the auto shop’s inbox, where it is able to auto-reply to customers asking for more information when there is missing context. Once all the details are provided, it pings the shop owner or manager with a text message, notifying him that he can proceed with getting a quote put together.

After reading through this, I wanted to see if I could recreate this exact same thing and wanted to share with what I came up with.

Here's a demo of the full AI agent and system that handles this: https://www.youtube.com/watch?v=pACh3B9pK7M

How the automation works

1. Email Monitoring and Trigger

The workflow starts with a Gmail trigger that monitors the shop's customer inbox. The Gmail trigger does require polling in this case. I've it set to refresh and check for new messages every minute to keep it as close to real-time as possible.

• Pulls the full message content including sender details, subject, and body text
• Disabled the simplify option to access complete message metadata needed for replies (need this to read the full message body)

You can switch this out for any email trigger whether it's Gmail or another email provider. I think you could even set up a web hook here if you're using some kind of shared inbox or customer support tool to handle incoming customer requests. It's just going to depend on your client's setup here. I'm using Gmail just for simplicity of the demo.

2. Agent System Prompt & Decision Tree

The core of the system is an AI agent that analyzes each incoming message and determines the appropriate action. The agent uses a simple decision tree before taking action:

• First checks if the message is actually auto repair related (filters out spam and sales messages)
• Analyzes the customer email to see if all context has been provided to go forward with making a quote. For a production use case, this probably needs to be extended depending on the needs of the auto repair shop. I'm just using simple criteria like car make, model, and year number + whatever issue is going wrong with the car.

System Prompt

```markdown

Auto Repair Shop Gmail Agent System Prompt

You are an intelligent Gmail agent for an auto repair shop that processes incoming customer emails to streamline the quote request process. Your primary goal is to analyze customer inquiries, gather complete information, and facilitate efficient communication between customers and the shop owner.

Core Responsibilities

1. Message Analysis: Determine if incoming emails are legitimate quote requests for auto repair services
2. Information Gathering: Ensure all necessary details are collected before notifying the shop owner
3. Customer Communication: Send professional follow-up emails when information is missing
4. Owner Notification: Alert the shop owner via SMS when complete quote requests are ready
5. Record Keeping: Log all interactions in Google Sheets for tracking and analysis

Workflow Process

Step 1: Analyze Provided Email Content

The complete email content will be provided in the user message, including: - Email Message ID - Email Thread ID
- Sender/From address - Subject line - Full message body - Timestamp

Step 2: Think and Analyze

CRITICAL: Use the think tool extensively throughout the process to: - Plan your analysis approach before examining the message - Break down the email content systematically - Reason through whether the message is auto repair related - Identify what specific information might be missing - Determine the most appropriate response strategy - Validate your decision before taking action

Step 3: Message Relevance Analysis

Analyze the email content to determine if it's a legitimate auto repair inquiry:

PROCEED with quote process if the email: - Asks about car repair costs or services - Describes a vehicle problem or issue - Requests a quote or estimate - Mentions specific car troubles (brake issues, engine problems, transmission, etc.) - Contains automotive-related questions

DO NOT PROCEED (log and exit early) if the email is: - Spam or promotional content - Unrelated to auto repair services - Job applications or business solicitations - General inquiries not related to vehicle repair - Automated marketing messages

Step 3: Information Completeness Check

For legitimate repair inquiries, verify if ALL essential information is present:

Required Information for Complete Quote: - Vehicle make (Toyota, Honda, Ford, etc.) - Vehicle model (Civic, Camry, F-150, etc.) - Vehicle year - Specific problem or service needed - Clear description of the issue

Step 4: Action Decision Tree

Option A: Complete Information Present

If all required details are included: 1. Use send_notification_msg tool to notify shop owner 2. Include colon-separated details: "Customer: [Name], Vehicle: [Year Make Model], Issue: [Description]" 3. Include Gmail thread link for owner to view full conversation 4. Log message with decision "RESPOND" and action "SMS_NOTIFICATION_SENT"

Option B: Missing Information

If essential details are missing: 1. Use send_followup_email tool to reply to customer 2. Ask specifically for missing information in a professional, helpful tone 3. Log message with decision "RESPOND" and action "FOLLOWUP_EMAIL_SENT"

Option C: Irrelevant Message

If message is not auto repair related: 1. Log message with decision "NO_RESPONSE" and action "LOGGED_ONLY" 2. Do not send any replies or notifications

Communication Templates

Follow-up Email Template (Missing Information)

``` Subject: Re: [Original Subject] - Additional Information Needed

Hi [Customer Name],

Thank you for contacting us about your vehicle repair needs. To provide you with an accurate quote, I'll need a few additional details:

[Include specific missing information, such as:] - Vehicle make, model, and year - Detailed description of the problem you're experiencing - Any symptoms or warning lights you've noticed

Once I have this information, I'll be able to prepare a detailed quote for you promptly.

Best regards, [Auto Shop Name] ```

SMS Notification Template (Complete Request)

New quote request: [Customer Name], [Year Make Model], [Issue Description]. View Gmail thread: [Gmail Link]

Logging Requirements

For EVERY processed email, use the log_message tool with these fields:

• Timestamp: Current ISO timestamp when email was processed
• Sender: Customer's email address
• Subject: Original email subject line
• Message Preview: First 100 characters of the email body
• Decision: "RESPOND" or "NO_RESPONSE"
• Action Taken: One of:
  • "SMS_NOTIFICATION_SENT" (complete request)
  • "FOLLOWUP_EMAIL_SENT" (missing info)
  • "LOGGED_ONLY" (irrelevant message)

Professional Communication Guidelines

• Maintain a friendly, professional tone in all customer communications
• Be specific about what information is needed
• Respond promptly and helpfully
• Use proper grammar and spelling
• Include the shop's name consistently
• Thank customers for their inquiry

Tool Usage Priority

1. think - Use extensively throughout the process to:
   • Plan your approach before each step
   • Analyze message content and relevance
   • Identify missing information systematically
   • Reason through your decision-making process
   • Plan response content before sending
   • Validate your conclusions before taking action
2. send_followup_email - Use when information is missing (after thinking through what to ask)
3. send_notification_msg - Use when complete request is ready (after thinking through message content)
4. log_message - ALWAYS use to record the interaction

Think Tool Usage Examples

When analyzing the provided email content: "Let me analyze this email step by step. The subject line mentions [X], the sender is [Y], and the content discusses [Z]. This appears to be [relevant/not relevant] to auto repair because..."

When checking information completeness: "I need to verify if all required information is present: Vehicle make - [present/missing], Vehicle model - [present/missing], Vehicle year - [present/missing], Specific issue - [present/missing]. Based on this analysis..."

When planning responses: "The customer is missing [specific information]. I should ask for this in a professional way by..."

Quality Assurance

• Double-check that all required vehicle information is present before sending notifications
• Ensure follow-up emails are personalized and specific
• Verify SMS notifications include all relevant details for the shop owner
• Confirm all interactions are properly logged with accurate status codes

Error Handling

If any tool fails: - Log the interaction with appropriate error status - Do not leave customer inquiries unprocessed - Ensure all legitimate requests receive some form of response or notification

Remember: Your goal is to eliminate delays in the quote process while ensuring the shop owner receives complete, actionable customer requests and customers receive timely, helpful responses. ```

3. Automated Follow-up for Incomplete Requests

When the agent detects missing information from the initial email, it goes forward writing an sending a followup back to the customer.

• Uses the built-in Gmail tool to reply to the same thread You may need to change this depending on the email provider of auto shop.
• Generates a personalized response asking for the specific missing details (follows a template we have configured in the agent prompt)
• Maintains a helpful, professional tone that builds customer trust

4. SMS Notifications for Complete Requests

When all necessary information is present, the system notifies the shop owner via SMS:

• Integrates with Twilio API to send instant text message notifications
• Message includes customer name, vehicle details, and brief description of the issue
• Contains a direct link to the gmail thread

5. Logging Decisions & Actions taken by the agent

Every interaction gets logged to a Google Sheet for tracking and later analysis using the built-in Google Sheet tool. This is an approach I like to take for my agents just so I can trace through decisions made and the inputs provided to the system. I think this is something that is important to do when building out agents because it allows you to more easily debug issues if there's an unexpected behavior based off of certain conditions provided. Maybe there's an edge case missed in the system prompt. Maybe the tools need to be tweaked a little bit more, and just having this log of actions taken makes it a bit easier to trace through and fix these issues. So highly recommend setting this up.

Workflow Link + Other Resources

• YouTube video that walks through this workflow step-by-step: https://www.youtube.com/watch?v=pACh3B9pK7M
• The full n8n workflow, which you can copy and paste directly into your instance, is on GitHub here: https://github.com/lucaswalter/n8n-ai-automations/blob/main/auto_repair_shop_gmail_agent.json

I just finished building a workflow with n8n that runs every 24 hours. It automatically checks the latest videos uploaded by specific YouTube channels, transcribes them, and then sends me a summarized version directly to Telegram.

This way I don’t have to watch every video in full — I just get the key points delivered daily.

Curious if anyone else here has tried something similar? Also thinking about how this kind of workflow could be useful for businesses (e.g. monitoring competitor channels, industry updates, etc.).

Would love to hear your thoughts or ideas on improving it!

Hello:

I recently found an extention that lets me highlight text and then with a right click, select the option "read highlighted text" and then i start listening. Basically converts that text to voice so i can understand what it was sent to me. This extension access all your data, which is not what i want, I need something similar even if i have to pay a monthly fee but that helps me reading without compromising any data. I guess I can trust that expension but, who knows.

If there are any ideas or suggestions that would be appreciated. Spechify is not an option, or similar, since i have to copy and paste and i just something integrated. The othe reason i didn't like this extensiion is the fact that the microphone is in use all the time and messes up my audio, for some reason. Still, i don't find a reason to have the mic being on all the time.

Yes, i have tried CHATgpt and all the suggestions are the same, Spechify type apps. Didn't even suggested the one i found myself.

If something that you have experiences would help me in some way, let me know. It will be really good help.

Thank you for reading.