Intermediate, about 4 evenings if you polish it, 1 to get it working. A client fills in a form, and AI expands their answers into a full proposal in a Google Slides deck, then drafts the follow-up email. This is the most theatrical demo on the list: you submit a form on camera and a branded deck appears.
Stack: n8n + Tally (free forms) + Google Slides + Drive + Gmail. Template: Client proposal generator
Make it yours: change the form questions to your industry's real intake questions, and rewrite the deck template with your own sections. The generic version looks like a template; the one built around a real service reads like a product.
Intermediate, about 3 evenings. Runs daily, finds overdue invoices in a sheet or database, and sends escalating AI-written reminders: gentle at day three, firm at day fourteen. Payment confirmations update the status automatically.
Stack: n8n + Google Sheets (or Postgres) + Gmail, optional Slack alert. Template: AI invoice reminder and payment tracker
Why it demos well: put the day-3 and day-14 emails side by side. The tone escalation is what shows judgment, and judgment is what people are hiring for. Anyone can connect two apps.
Beginner friendly, about 3 evenings. Checks a business's Google reviews every morning, classifies the sentiment, drafts a personalised reply to each one, and emails you the drafts for one-click posting. Angry reviews and delighted reviews get genuinely different treatment.
Stack: n8n + Google Places API + Gmail. Template: Monitor Google reviews and draft replies
Cost note: the Places API sits inside Google Maps Platform's monthly free credit at this volume, so a demo build costs nothing.
Beginner friendly, about 3 evenings. Every Monday it pulls last week's traffic numbers, has AI write the "so what" in plain English, and emails a formatted report. It automates the exact Monday-morning task every marketing team quietly hates.
Stack: n8n + Google Analytics (GA4) + Gmail. Template: Weekly analytics report with AI analysis
Make it yours: the AI commentary is what separates this from a dumb data dump. Tell the model what decisions the reader makes each week, and have it answer those, not just describe the numbers.
Beginner friendly, about 2 evenings. Detects missed appointments on a schedule and automatically messages the no-show a rebooking nudge, while alerting whoever owns that client. It recovers revenue that most businesses simply write off, which reads as commercial thinking rather than tutorial-following.
Stack: n8n + Calendly + Telegram or email. Template: Recover no-show appointments
Nice detail: it polls on a schedule instead of using webhooks, so it works on Calendly's free plan. Worth mentioning when you show it: constraints handled well are a signal.