May 9, 2025 | 4 minutes
Inside our hackathon: 10 creative AI Agent examples you can build with Make
The days of relying solely on predefined rules for automation are officially over. Teams of Makers and some special guests got hands-on, building AI agent examples to solve some of our most pressing day-to-day problems.

With the beta launch of Make AI Agents, it’s now possible to build intelligent, adaptive workflows powered by autonomous entities that operate right within the Make platform.
These agents can interpret natural language, make decisions in real time, and use the right tools and apps to get the job done. No code or rigid scripting required.
It’s a breakthrough that’s exciting not just for the Make Community, but for our internal Makers, too. More than 50 teammates, including our CEO Fabian Veit, recently came together for a one-day Make Agents hackathon held where else but our very own office.
Our goal was to explore, experiment, and prove what’s possible with Make Agents – and the results blew us all away.
Inside our Make Agents hackathon
Held in our Prague office and online, the event brought together teams from across the company. The format was simple:
Ten use cases were suggested ahead of time.
We split into 10 teams of around five Makers.
Each team spent the day building and refining their idea – fueled (like all the best creative sessions should be!) by treats and snacks.
In the afternoon, teams presented their work and voted for the agent with the biggest potential impact.
From an HR assistant to a social media ghostwriter, here’s what they came up with.
1. HR hiring agent – Winner!🥇
This agent was designed to handle multiple parts of the time-consuming hiring process. It reads CVs, summarizes candidate profiles, assesses job fit, and provides a ranking for each candidate. It pulls everything into Airtable and can recommend alternative positions when a candidate isn’t the right match. And if the HR department decides to go ahead with an interview? This agent can even suggest tailored interview questions.
It’s like having an always-on hiring assistant – with opinions.
2. Competition monitoring agent – Runner-up🥈
Whatever your industry, staying on top of your competition is crucial. This agent scans the internet for competitor updates and trends.
It’s designed to keep product and strategy teams informed with deep analysis without the need for constant manual research.
3. CXP knowledge agent – Third place🥉
When answering user queries or creating user-facing technical content, sifting through Make’s wealth of internal and external knowledge sources can be difficult.
This Slack-based agent answers questions using data from our Help Center, API docs, Make Community posts, and internal Slack threads.
It bridges the gap between siloed sources, giving teams fast, accurate answers with a simple chat interface.
During the hackathon, the team noted that future versions could analyze support tickets and recommend updates to external support docs.
4. LinkedIn ghostwriter agent
The LinkedIn algorithm is always thirsty for updates – but having the time and inspiration to create posts is easier said than done.
This Make AI Agent researches trends, suggests post ideas, drafts content in the writing style of the LinkedIn user, and posts content directly to the platform. No more scratching your head for something to say!
5. Presentation creator agent
Slide decks are a powerful communication tool, but creating them can be a major effort.
One team at our hackathon created an agent that has the potential to build full slide decks. These can include title, content, and even notes for the slides – all based on the audience, topic, and internal documentation provided via a dedicated Slack bot.
The biggest challenge on the day was automatically generating suitable visuals and charts – but with a bit more time, it’s well within reach.
6. UI platform secretary agent
Built specifically for our UI team, this agent reviews every new ticket in Jira, flags duplicates, and links tickets together. It can see who solved similar issues in the past then auto-assign new queries to the same person.
It’s a smart assistant that can truly help the team stay organized and provide the speedy support Make prides itself on.
7. API documentation tracker agent
With over 2,000 apps already available and more added every week at Make, keeping API coverage up to date is essential.
This agent monitors documentation to catch changes that haven’t been reported. It filters out false positives, flags real issues, and can even create Jira tickets when updates are needed.
The team behind this idea noted that it will significantly cut manual review time and keep maintenance manageable as we grow.
8. Migration agent
Scenario lifecycle management is a long-standing challenge – and one that grows with scale.
This agent uses the Make MCP Server to interact with scenarios and their dependencies across Make teams. By expanding the set of MCP tools available, the team enabled the agent to extract a scenario from one team and move it to another.
To push boundaries further, they used Terraform HCL as a transport format. That made it possible to serialize entire scenarios into a portable, machine-readable form – opening up future possibilities for backup, restoration, or even multi-stage deployment.
It's still experimental, but it hints at how Agents and MCP could be combined to help tackle scenario management at scale.
9. Jira due date tracking agent
Many of our teams use Jira, but sometimes missions become out-of-date.
Based in Slack, this agent checks Jira missions for overdue tasks or missing dates. It proactively updates the team about potential issues and helps keep timelines on track.
10. Event organizer agent
Whether it’s a small office get-together or a large customer meetup, organizing events means juggling lots of moving parts.
This AI agent example works out which supplier is best for any given event and provides pricing, reviews, and even suggested activities.
Examples of AI agents: What we learned
These ten ideas are only the start. From streamlining internal ops to organizing events, the hackathon showed just how game-changing Make AI Agents can be.
Now it’s your turn to experiment…
Start building with Make Agents today
Make AI Agents are changing the way we build, communicate, and solve problems. Explore Make Agents now to see what you can do.