Key Facts
- Student: Elena Giannetti, Learning and Development Manager.
- Course: AI for Business.
- WBS CODING SCHOOL project: Employee training management template.
- Tools: Airtable, Slack, Make, HeyGen.
- Goal: Create a common platform for stakeholders and reduce manual checking.
Elena Giannetti realized early on that her field was shifting. As a Learning and Development Manager who started her career as a trainer, she saw a landscape full of options, particularly those related to artificial intelligence.
For many in the training sector, the daily reality involves spreadsheets, manual tracking, and endless email reminders. Elena wanted to change that dynamic.
‘I knew that AI was going to be an important support for my job and so I decided to learn as much as possible,’ she explains.
She joined WBS CODING SCHOOL with a clear objective: she wanted to learn more about how AI could support the project management field. Her journey from manual management to automated efficiency serves as a blueprint for professionals looking to upgrade their workflows.
Watch Elena present her full WBS CODING SCHOOL project on YouTube:
Table of Contents
The challenge of manual tracking
In her role, Elena faced a universal problem for L&D departments: the administrative burden. She needed to track trainings, attendance, scoring, and schedules for numerous employees.
Traditionally, this requires a manager to constantly monitor the status of every single individual.
‘The goal was not to have to check, each single individual, their status,’ Elena says.
She envisioned a system where every stakeholder involved had their own overview with the information they needed regarding their team. This would free up time for more strategic tasks, but it required a robust technical solution.
WBS CODING SCHOOL project: Building an automated ecosystem
For her final project, an explanation of how Airtable could help the training department, Elena built a centralized platform. She used Airtable to collect all training data, making it easy to access for the learning and development team.
But a database alone does not solve the communication gap. To address this, Elena integrated automation tools.
‘I also was able to create a connection Airtable and Slack,’ she notes.
By using Make to connect these platforms, the system could send a message to each individual with reminders and results of the training. This automation was designed explicitly to reduce the work of the managers.
The system also incorporated AI-generated content. Elena created three AI basic trainings with HeyGen. This demonstrated that AI can handle not just the management of training, but the creation of the material itself.
The power of a structured prompt
While the tools were impressive, Elena’s biggest takeaway was the fundamental skill of communicating with Large Language Models (LLMs). She discovered that the difference between a mediocre result and a great one lies in the prompt.
‘Learning about prompting and AI tools available really opened a new world to me,’ she shares.
She argues that prompting is the basic knowledge required to use LLMs in the best way. During her presentation, she shared a specific formula she uses to ensure consistency:
‘Role plus task plus context plus constraints plus output format plus eval,’ she recites.
By applying this structure, she ensures the AI understands exactly what is required.
‘A good prompt needs to be created in order to be effective,’ Elena advises. ‘And this makes a big difference if you know how to write one, you get the result that you need a lot faster’.
Summary
Elena Giannetti leveraged her time at WBS CODING SCHOOL to transform a manual administrative process into an automated workflow. By combining Airtable, Slack, and AI tools, she created a system that automatically updates stakeholders and learners. Her experience highlights that learning the logic of prompting is just as critical as learning the tools themselves.
Ready to build your own AI tools?
Elena didn’t need a computer science degree to automate her department, she just needed the right guidance. In our AI for Business Course, you will learn to master the same tools she used: prompting with structure, automating with Make, and building systems that save you hours every week.
Stop managing repetitive tasks manually. Start building the solution.
