Build AI Workflows
Connect tools like ChatGPT, n8n, and Zapier to automate the boring parts of your day.
At a Glance
Recommended AI Workflow
Identify Bottlenecks
Audit your daily operations to find repetitive tasks.
Expected Result
A prioritized list of tasks to automate.
Pro Tip
Look for things you do daily that require moving data between apps.
Select Integration Platform
Choose the automation platform that fits your technical skill.
Expected Result
Platform account configured and connected to your apps.
Pro Tip
Zapier is easiest, Make is powerful and visual, n8n is best for developers.
Draft the Prompt Logic
Design the exact instructions the AI will execute within the workflow.
Expected Result
System prompts ready for deployment.
Pro Tip
Test prompts manually in ChatGPT before putting them in the automation.
Build the Logic
Connect the apps, add webhooks, and insert the AI nodes.
Expected Result
Draft workflow.
Pro Tip
Start simple. Do a 2-step automation before adding complex routing.
Test and Handle Errors
Ensure the automation doesn't break when unexpected data arrives.
Expected Result
A robust, error-resistant workflow.
Pro Tip
Always add an error path that sends you a Slack/Email notification if it fails.
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Alternative Workflows
The No-Code Route
Easiest to set up, but more expensive at scale.
Tech Stack
The Hacker Route
Self-hosted, complex, but completely free to scale.
Tech Stack
verifiedBest Practices
Document Everything
When you have 20 automations running, you will forget how they work. Document the logic in Notion.
Start Small
Don't try to automate your entire business on day one. Automate one 5-minute task first.
warningCommon Mistakes
Automating Broken Processes
If a manual process is inefficient, automating it just makes bad things happen faster.
Optimize the process manually before introducing AI and automation.
Ignoring API Limits
Running into rate limits or unexpected huge bills because an automation looped.
Set usage caps on OpenAI and use delay nodes in your workflows.
Ready-to-Use Prompts
Brainstorm Automations
I run a [BUSINESS TYPE] business. Here are the 5 tasks that take up most of my time: [TASKS]. Suggest 3 ways I can use AI and automation tools like Make or Zapier to automate these.
Be specific about the software you currently use.
Write Regex / Code Nodes
Write a short JavaScript snippet to use in a Make.com code node. It needs to take this JSON input: [EXAMPLE] and extract only the email addresses into an array.
LLMs are excellent at writing the glue code for automations.
Building AI workflows is the ultimate unlock for productivity. While chatting with AI is useful, integrating AI directly into your business processes is where true leverage lies.
Why Workflows Matter
A chat interface requires a human to copy data, paste it, wait for a response, and copy it back. An AI workflow does this silently in the background. Imagine every time a customer emails a complaint, an AI reads it, categorizes it, drafts a personalized apology, issues a refund in Stripe, and drafts a Slack message for your review—all in 3 seconds.
The Architecture of Automation
Modern AI workflows generally consist of three parts:
1. **The Trigger**: An event that starts the workflow (e.g., a new email, a webhook, a scheduled time).
2. **The Brain**: An LLM (like GPT-4 or Claude 3) that processes the data, makes decisions, or generates text.
3. **The Action**: What happens with the result (e.g., updating a CRM, sending a message, creating a document).
By mastering tools like Make or n8n alongside AI APIs, you transition from being an AI user to an AI architect.
Frequently Asked Questions
No, tools like Zapier and Make are visual drag-and-drop builders. However, understanding basic programming logic (if/then, loops, arrays) is highly recommended.
Zapier is easier and has more integrations, but is much more expensive. Make has a steeper learning curve but is far more powerful and cost-effective for complex workflows.