Automation isn't about being fancy — it's about never doing the same 3-minute task twice. Every recipe below follows one pattern: trigger → (optional AI step) → action. Build the first one tonight; each takes 10–20 minutes.
🧩 The mental model (30 seconds)
The 10 recipes
💸 Free-plan math (so you don't hit a wall)
🤖 Zapier vs Make — which one for what
🧪 One habit that saves you
Always run the built-in test with real data before switching it on, then check the run history after the first day. 90% of "automation doesn't work" is a filter that was slightly wrong. Two minutes of checking beats a week of silent failure.
TL;DR — pick one recipe above, build it tonight, test with real data, add one per week. Boring consistency beats a fancy system you never finish. Want the bigger picture on where automation fits? See the 30-day AI automation roadmap and the 22-hrs-to-4 case study for what a finished stack looks like.
Which one are you building first — or got a recipe of your own? Drop it below, best ones get added to the list (credit given). 👇
🧩 The mental model (30 seconds)
- Trigger: the thing that happens — new email, new form response, new row, a schedule
- Filter (optional): only continue IF… (subject contains "invoice", amount > ₹5,000)
- Action(s): what to do about it — add row, send message, create task, post alert
The 10 recipes
- Form → Sheet → instant alert. Website/contact form submits → append to Google Sheet → send yourself a WhatsApp/Telegram message. Never "miss a lead" again.
- Gmail attachments → Drive, sorted. Any email with an attachment → save to Drive folder by sender. Tax season stops being an archaeological dig.
- New lead → CRM + Slack/personal ping. New row or Typeform entry → create contact → notify. Response time is what converts; this buys you minutes.
- Meeting recordings → AI summary → notes app. New recording file → transcribe/summarise with the AI step → save to Notion/Doc. (Prompt quality matters — steal one from our prompt mega-pack vol. 2.)
- New blog/video → auto-share everywhere. RSS/YouTube trigger → post to X, LinkedIn, Facebook page with a caption template.
- Invoice overdue → polite nudge, automatically. Sheet row hits "due + 3 days" with status unpaid → send the reminder email. Cash flow without the awkwardness.
- Keyword monitor → daily digest. Reddit/RSS/news mention of your brand or niche → collect → one summary email at 9am instead of doomscrolling for it.
- Calendar booking → prep pack. New Calendly/Calendar event → create a Doc from template with attendee name → reminder 1 hour before. Walk in prepared every time.
- Receipts photo → expense tracker. Email/photo of a receipt → AI extracts amount + vendor → row in the expense Sheet.
- Weekly scoreboard → yourself. Every Friday 6pm: pull the week's numbers (sales, followers, hours) → format → email/Telegram yourself the digest. What gets measured gets managed.
💸 Free-plan math (so you don't hit a wall)
- Zapier free ≈ 100 tasks/month, 5 single-step Zaps — enough for recipes 1–3 to prove value
- Make free ≈ 1,000 operations/month and multi-step scenarios on the free tier — better for the AI-chained ones
- Rule of thumb: prototype on Make, scale on whichever you like. If a zap saves you 30 min/month it's already worth a paid seat; recipe 6 alone usually pays for it.
🤖 Zapier vs Make — which one for what
- Zapier: simplest UI, biggest app directory, best for straight A→B pipes — start here if you've never automated
- Make: visual builder, branches/loops/routers, cheaper per operation — better once flows get twisty
- Outgrow both → that's when you graduate to agents; our zero-code AI agent guide is the next rung
🧪 One habit that saves you
Always run the built-in test with real data before switching it on, then check the run history after the first day. 90% of "automation doesn't work" is a filter that was slightly wrong. Two minutes of checking beats a week of silent failure.
TL;DR — pick one recipe above, build it tonight, test with real data, add one per week. Boring consistency beats a fancy system you never finish. Want the bigger picture on where automation fits? See the 30-day AI automation roadmap and the 22-hrs-to-4 case study for what a finished stack looks like.
Which one are you building first — or got a recipe of your own? Drop it below, best ones get added to the list (credit given). 👇
