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build · No-Code & Low-Code AI

Build one lead intake on Zapier, Make and n8n, take it live in stages you can stop, and give a model one fenced step inside it.

Cost the work, build it three ways, check the record it wrote, route each lead to one owner, and price and fence the AI step.

By the end, you'll be able to:

  • Cost a manual task from timed runs and pick your first build from a work log
  • Build the same Tally-to-HubSpot automation on Zapier, Make and n8n
  • Map, clean and check every form answer so a minimal submission stores correctly
  • Filter and route each lead to one owner, with a fallback for leads no rule fits
  • Price, prompt, parse and cap one model step without blocking the lead

From $9/month~12 hrs5 chapters22 lessons

“Your Zap turned green. Did you open the HubSpot contact it made? This course starts there.”

About this course

Who it's for

  • You spend hours each week copying details between forms, spreadsheets, email and chat tools
  • You have tried an automation tool like Zapier, Make or n8n and want workflows you can trust to run on their own
  • You want to add an AI step to your work and still check its answer before anything else uses it

What you'll need

  • You have used a web form, a spreadsheet and a chat tool such as Slack at work; no automation experience is needed
  • You do not need to be a programmer, but you will write short formulas and a few small code steps
  • Free plans on Zapier and Make are enough; the last chapter needs an OpenAI API key, which costs a little to use

What you'll be able to do

  • Work out what a repetitive task really costs and pick which jobs to automate first
  • Build the same workflow in Zapier, Make and n8n, and choose the right tool for your team
  • Move form answers into a CRM so every field arrives complete and in the right format
  • Send each new lead to the right person, with a backup route for anything that does not fit
  • Add an AI step that drafts a short brief, check its answer, and cap what it spends each day

Skills you'll practise

  • Workflow automation
  • Zapier
  • Make
  • n8n
  • Moving data between apps
  • Lead routing
  • AI in workflows
  • Testing before launch

How long it takes

About 12 hours in total

  1. Chapter 1 · How Do You Find and Cost the Work Worth Automating?2 hours
  2. Chapter 2 · How Do You Build One Automation Three Ways and Switch It On?1.5 hours
  3. Chapter 3 · How Do You Know a Green Run Wrote the Right Record?2.5 hours
  4. Chapter 4 · How Does Every Lead Reach an Owner Someone Can See?2.5 hours
  5. Chapter 5 · When Does an AI Step Earn Its Place in a Workflow?3.5 hours

What's included

  • 22 lessons
  • 88 readings
  • 22 worked examples
  • 66 exercises
  • 43 quick checks
  • 22 common myths
  • 22 projects
  • 22 quizzes
  • 5 end-of-chapter checks

Curriculum

5 chapters, 22 lessons

The full expedition — every chapter and lesson. Tap a chapter to expand. Lessons unlock when you start.

    • How Do You Build Your First Zap and Check the Contact It Made?
    • How Do You Build the Same Automation in Make and Read What Each Run Did?
    • How Do You Build It in n8n and Receive a Form Through a Webhook?
    • How Do You Switch an Automation on Safely and Undo It if It Goes Wrong?
    • What Does a Form Really Send to Your Workflow?
    • How Do You Map Every Form Answer to the Right HubSpot Field?
    • How Do You Clean and Check Every Answer Before It Reaches HubSpot?
    • When One Answer Holds a List, Do You Split It Up or Keep It Whole?
    • How Do You Build the Whole Intake, Prove It Stored the Right Thing, and Switch It On?
    • How Do You Let Only the Right Leads Through?
    • How Do You Send Each Lead to Exactly One Owner?
    • Where Does a Lead Go When No Rule Fits, and How Do People Change the Rules Without a Rebuild?
    • How Do You Get Every New Lead to Its Owner Within a Minute of the Form?
    • Which Step of Your Workflow Should AI Do, and What Will It Cost?
    • How Do You Connect a Model Safely and Read What It Sends Back?
    • How Do You Write a Prompt a Workflow Can Rely On?
    • How Do You Stop a Bad AI Answer From Reaching Your CRM?
    • How Do You Turn Every Routed Lead into a Draft Brief, Safely and on Budget?

Career

Where this course can take you

The roles this course maps to, and the skills you can list on your resume and LinkedIn once you finish it.

6
roles it maps to
Automation EngineerNo-Code / Low-Code DeveloperAI Workflow SpecialistOperations Automation AnalystRevenue Operations (RevOps) SpecialistBusiness Process Automation Consultant

Skills you will master

Ready to paste into your resume or LinkedIn profile once you have finished the course.

  • Costing and prioritizing automation workidentify automation opportunities
  • Building workflows on Zapier, Make and n8nZapier automation
  • Safe go-live, rollback and error alertingdeploy and monitor automations
  • Data mapping, cleaning and validationdata mapping
  • Reliable CRM writes with quarantine and reconciliationHubSpot integration
  • Lead filtering and routinglead routing
  • Pricing and connecting a language model in a workflowLLM integration
  • Guardrails for AI outputs in production workflowsstructured output validation

Questions

Before you commit

Accounts on Zapier, Make and n8n Cloud, opened under a shared mailbox. Free plans cover the first builds; the Zapier versions of the later builds need Zapier Professional. Chapter 5 needs an OpenAI API key, which costs a little to use. The builds also use Tally, HubSpot, Slack, Google Sheets and Notion.

No prior Zapier, Make or n8n experience is needed. You should have used a web form tool, a spreadsheet and a chat app such as Slack at work, be comfortable copying an API key into a settings screen, and have a repetitive task in mind. Short n8n Code nodes appear in several lessons, with the code given and explained line by line. Expect about 12 hours, including building each workflow yourself.

Free tutorials show one workflow on clean data. This course reads three real test submissions before mapping anything. It puts a cleaning and checking step right before the HubSpot write. It parks refused records in a Sheet with their reasons and tells a person. It sends leads no rule fits to a named owner with the reason. And it spends a lesson on going live safely, with an audit trail note on every record and a rollback note written before go-live.

Three working automations for a fictional agency: a lead intake from a Tally form into HubSpot and Slack that maps, cleans and checks every answer; a lead router that sends each lead to one owner from rules in a Google Sheet; and a brief-drafting workflow that checks a spend cap before any model call and writes one Notion page per lead. The intake is built on Zapier, Make and n8n; the router is rebuilt on all three as well.

A model gets one job rules cannot do, reading free text, and before anyone builds it the step is priced per call and per month. The key lives in one credential per platform. The prompt fixes the answer to one word from allowed values at temperature 0 and is tested against 20 known leads. The reply is parsed and validated, retried once with a note naming the mistake, and a failing or low-confidence answer keeps the form's value. Every call is logged, and a daily cap on runs and dollars is checked before any call.

Mostly cloud. The agency builds on n8n Cloud Starter, and Zapier and Make are cloud platforms. One lesson shows how to run n8n on your own computer with Docker for a first test; running and securing a production n8n server is out of scope, as is building custom API connectors from scratch.

A form-to-CRM intake with a field mapping, a cleaning and checking step, create-or-update writes so a repeat delivery does not duplicate a contact, and a quarantine Sheet with alerts; a lead router driven by a rule list in a Google Sheet with a fallback and an audit log; and a brief-drafting workflow with a daily cap, two model calls, a parser and an audit trail note on each page. Plus the same two-step starter workflow built once on each of the three platforms.

No. Chapter 5 covers a single AI step inside a workflow and how to price, fence, parse, log and cap it. Chatbots or agents that hold a conversation, fine-tuning or training models, and running a production n8n server are outside the scope of these 22 lessons.

Documentation tells you what a feature does. This course tells you which feature to reach for, what it costs in tasks, credits or executions, how it fails at night and what to do about it. Every check is shown on Zapier, Make and n8n, so the habit carries from one platform to the next.

A relay where the baton is checked at every handoff. A form submission passes from Tally to the platform to HubSpot to a Slack channel, and each handoff is a place where it can be dropped, bent or swapped for a believable fake. So each one gets a check: read the payload, map the field, clean the value, choose the owner, write the audit trail note on the record. The AI step joins only inside marked lanes, with a cap on how far it can run and a parser that reads what it hands over.

No. You will read a few lines of structured data and write short expressions. Several lessons add a short n8n Code node, and each one is given and explained step by step.

None by default. Lesson 1.3 has you count your own workflows in tasks, credits and executions and choose for a stated reason about who will build, fix and inherit them.

Not to start. Zapier and Make have free plans and n8n Cloud has a free trial, which carry the first tests; the Zapier versions of the later builds need a paid Professional plan, and lesson 1.3 shows how to price each platform for your own volume. You will also need an OpenAI API key for chapter five, which bills per call; lesson 5.1 shows you how to price it first.

No. It adds one model step to a workflow for reading free text, with an answer from a fixed list of labels, a parser, a confidence threshold and a daily cap.

The course uses one lead intake throughout, and the method it teaches, costing, mapping, checking, routing and fencing, is written so you can reuse it on your own tasks.

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From $9/month