There’s something about autumn that makes European cities even more magical. The sunny days with crisp air, the colorful streets, and this November, the buzz of creative energy from AI engineers, business analysts, QAs and data scientists gathered for a two days Agentic AI Hackathon.
What I experienced there wasn’t just a coding competition, but a masterclass in AI literacy. Understanding how artificial intelligence really works was the first step in identifying where AI Agents can make the highest impact and how it can transform our daily work.
I had the chance to participate in this event, where the challenge was both ambitious and inspiring: Build AI agents that optimize how we work today.
During two days the room pulsed with ideas, workflows, coding, errors and awe. But what stood out most wasn’t just the technology, but rather the realization of how close we are to reshaping what “office work” means.
What Is AI Literacy?
Before diving into the projects, let’s clarify what AI literacy means.
AI literacy is the ability to understand, use, and evaluate artificial intelligence systems not just as a user, but as an informed participant. It’s about knowing how AI tools make decisions, what data they rely on, and where their limitations lie.
In an age where AI tools are everywhere, in search engines, job posting, email assistants or meeting summarizers, developing AI literacy is becoming just as essential as digital literacy once was.
What Are AI Agents?
During the hackathon, the challenge was to design AI agents. These are autonomous digital assistants that can understand goals, reason about context, and act.
Unlike traditional automation scripts, AI agents can:
Interpret natural language (so you can talk to them like a colleague)
Integrate with your tools and workflows
- Learn from feedback and improve over time
In simple terms, an AI agent is a digital co-worker, capable of taking care of repetitive cognitive tasks so you can focus on creativity, strategy, and decision-making.
Developing AI literacy helps professionals understand how these agents work and how to use them responsibly and effectively.
What The Teams Built
The teams built prototypes that showcased what AI agents could do. Here are a few standouts and how they connect to AI literacy and the future of work.
1. AI Agent That Generates Documentation from Code
This agent reads a codebase, interprets functions and classes, and automatically generates clean, human-readable documentation.
2. AI Agent That Assigns Jira Tickets (my team’s agent)
This AI analyzes availability, skills, and experience levels to intelligently assign tickets to the right team member, reducing bottlenecks and improving sprint balance. We used MCP serves to read from Jira, sharepoint and the local file system.
3. AI Agent That Sends Automated Invoicing Emails
Connected to your time-tracking system, this agent counts billable days and automatically emails end-of-month invoice summaries.
4. AI Agent That Generates a Sprint Plan from a Requirements Document
This one was a crowd favorite. The agent reads a requirements document, identifies user stories, breaks them into actionable tasks, adds descriptions, and creates a complete sprint in Jira, ready for review.
Why AI Literacy Matters Even More
All these examples share a theme: AI is moving from concept to coworker.
But without AI literacy on the user end, even the best tools can be misunderstood or misused.
Professionals with AI literacy can:
Collaborate confidently with AI systems
Identify ethical and data-related risks
Drive innovation responsibly
The future of work won’t be defined by who has the most AI but by who understands it best.
Why You Should Choose AI Literacy for Professionals by Giraffa Analytics
Our training stands out because it is created and taught by an AI builder, a true data professional with over 10 years of experience in building AI solutions, not an AI influencer who tries to ride the AI wave. Check out her Linkedin HERE.
The clarity with which complex concepts are explain, will help and non-technical professional grasp AI and truly develop an intuition around how these systems work, beyond tools.
Check Out the AI Literacy for Professionals HERE.