What you will learn
Designing an agent on paper is one thing. Getting it running is another. This section walks you through the actual build process in Relay, the platform your cohort has access to, so you understand what it looks like to go from a job description to a working, testable agent.Relay fundamentals
Understand how agents, skills, and flowcharts work in Relay
Build from a prompt
Turn a natural language description into a working agent workflow
Test and iterate
Run your agent, review the output, and give feedback that improves it
Human-in-the-loop
Know when and how to inject human review points into an automated workflow
How Relay works
Relay is built around a simple model: you create an agent, give it a job title and description, connect the tools it needs, and then teach it skills. Each skill is a specific responsibility, one task the agent performs on your behalf. What makes Relay different from prompting a chatbot is how those skills are structured. Instead of writing a long prompt and hoping for the best, Relay turns your instructions into a visual flowchart. You can see every step the agent will take before it runs.The core concepts
Agents
Your AI team members. Each agent has a job title, a description, and a set of connected tools (Gmail, Google Drive, LinkedIn, Slack, and others). Think of this as the role definition.
Skills
The responsibilities within that role. A personal assistant agent might have skills for email triage, meeting briefings, and RSVP reminders. Each skill is a separate workflow that the agent performs.
Flowcharts
The visual representation of each skill. They show the trigger, the steps, the decision points, and the output, all laid out so you can verify the logic before the agent runs.
Building an agent step by step
Here is what the build process looks like in practice, based on the competitive researcher example from your live session.Create the agent
Give it a job title (Competitive Researcher) and a one-sentence job description (Create regular competitive analysis reports). Select the tools it needs, in this case LinkedIn for research and Gmail for delivering the report.
Add a skill
Based on the tools you connected and the job description you wrote, Relay suggests skills the agent can perform. Pick one, like a weekly competitor scan, or write your own.
Write the prompt
Describe what you want in natural language. For example: “Every Monday, research top competitors by looking at their company LinkedIn posts and the posts of their CEO. Then email me a competitive analysis report summarising their latest product updates, launches, and customer momentum.”
Answer clarification questions
Relay will ask you follow-up questions to fill in gaps: who are the competitors, what are their LinkedIn URLs, what time should this run? Give it the most specific information you can.
Relay builds the flowchart from your natural language description. You interact with it through chat: describing what you want, answering questions, and giving feedback. The flowchart is there for you to verify, not to manually construct.
The 10/90 rule
Getting the initial flowchart built is roughly 10 percent of the work. The remaining 90 percent is testing, reviewing, and refining. This is the same dynamic you would have with a new team member. Their first week on the job, you would not expect perfect output. You would review their work, give feedback, adjust your brief, and let them improve over time.How to test and give feedback
Once your flowchart is built, hit Test Workflow. The agent runs through every step and produces its first output. Review the output the way you would review work from a direct report. Is the structure right? Is it too detailed or not detailed enough? Did it miss something? Then give feedback in plain language. You do not need to edit the flowchart manually. Just tell the agent what to change:Test your understanding
Test your understanding
Human-in-the-loop review
Not every action should be fully automated from day one. Relay lets you inject human review points into a workflow, places where the agent pauses and waits for your approval before continuing. This is particularly valuable for actions that have external consequences: sending emails on your behalf, publishing content, filing documents, or updating records.In the personal assistant example from the live session, the agent drafts RSVP reminder emails for meeting guests who have not responded, but it does not send them automatically. It pauses and shows you the draft. You approve or edit, and then it sends.
Test your understanding
Test your understanding
Beyond the first skill
Once your first skill is running, you can add more to the same agent. A competitive researcher might start with a weekly LinkedIn scan and later add a monthly pricing page comparison, a quarterly messaging analysis, or a trigger that fires whenever a competitor’s website changes. You can also create entirely new agents for different areas of your work. The Relay team shared that their own staff manage personal assistants, LinkedIn marketers, business analysts, recruiters, sales assistants, and more. Each team member manages between 4 and 20 agents depending on their role.Quick checkpoint
You are done with this section when you can:Navigate Relay
Create an agent, connect tools, and add a skill using the chat interface
Read a flowchart
Look at a Relay workflow and understand the trigger, steps, and output
Test and iterate
Run a test, review the output, and give feedback that produces a measurably better result
Set guardrails
Know where to place human-in-the-loop review points and when to remove them
Next: This Week's Challenge
Put it all together and build your first working agent