
The word "agents" is everywhere right now. It shows up in product updates, LinkedIn posts, and conversations at work, and yet for a lot of people, it still doesn't quite click. What actually is an agent? Is it the same as agentic AI? And does any of this actually matter for the way you work?
If you've been nodding along while quietly unsure, you're in good company. The AI industry has done a genuinely poor job of naming things, and it's created a lot of unnecessary confusion.
What you’ll learn:
Why the terminology around AI tools is so confusing, and the key distinction between "agents" and "agentic AI" that actually matters in practice.
What an agent is versus what agentic AI is
How individuals can use agents for tasks they repeat regularly
How teams can use agents to standardise outputs like reports, reduce the burden of repetitive questions, and let people self-service answers using a knowledge agent
What the best starting question is to know if a problem can be solved by an agent
Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai, where he leads Inventium's AI training and upskilling work with organisations and teams.
How I AI with Dr Amantha Imber and Neo Aplin explores how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm.
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