AI at Work
Build AI Agents Without Code
shashank
Design AI agents and automations with no-code tools like Zapier, Make and n8n. You learn what an LLM-powered agent can and cannot do, how to map a workflow with triggers, actions and data fields, how to add an AI step with a clear prompt and structured output, and how to test messy inputs and failures. You finish by calculating the hours and cost saved. Tim plays your boss, who worries about errors, data privacy and cost, and asks you to explain your choices out loud.
5 sessions · 3h 40m
Free
This Goal only
Recommended
$20/mo
Subscribe, 10 hours a month
Your learning path
Skills you will learn
What an agent can and can't do
You will meet with your coach to define what an intelligent assistant can actually do for your business. Together, you will look at your daily tasks to find one repetitive process that is safe and ready to be automated.
Designing the workflow
You will meet with your coach to map out a task you want to automate. Together, you will break it down into clear steps and decide what information moves through each part.
Connecting your tools
You will meet with your mentor to plan how different software programs talk to each other. You will decide what event starts your automation, how info moves between steps, and how to catch errors.
Testing and failure cases
You will meet with your coach to look at how no-code workflows behave when they receive unexpected or messy information. You will discuss how to spot weak points in your automated setups and plan ways to prevent them from failing.
Explaining the ROI
You will work with a coach to calculate the exact hours and money your new automation will save. You will also learn how to address common worries about data privacy and system mistakes.
How goals work
Four steps, one real shift.





AI at Work
Build AI Agents Without Code
shashank
Design AI agents and automations with no-code tools like Zapier, Make and n8n. You learn what an LLM-powered agent can and cannot do, how to map a workflow with triggers, actions and data fields, how to add an AI step with a clear prompt and structured output, and how to test messy inputs and failures. You finish by calculating the hours and cost saved. Tim plays your boss, who worries about errors, data privacy and cost, and asks you to explain your choices out loud.
5 sessions · 3h 40m
Free
This Goal only
Recommended
$20/mo
Subscribe, 10 hours a month