Learnings from “All About AI Agents” conference


You know those events where you join thinking you’ll get a few buzzwords and maybe a certificate to post on LinkedIn? This wasn’t that. This was more like a crash course in the future of work, plus a reality check that your CV alone won’t save you.

And if you were one of the 50 fastest students to submit your assignments—you didn’t just attend, you got personalized feedback from the guest speakers. Basically the AIatWork equivalent of backstage passes.



Ivica Pesovski – LLM Gladiator Referee


Ivica opened with what can only be described as the LLM Arena. Picture him in the Colosseum, introducing Meta AI, Grok, DeepSeek, Mistral, and Claude like fighters entering the ring

LLM Arena:

  • Meta AI: Free, friendly, but kind of like the friend who insists on helping with your homework yet gets half the answers wrong.
  • Grok: Elon’s rebellious teenager—edgy, sarcastic, and very online. Perfect if you live on X (Twitter).
  • DeepSeek: The underdog with shockingly low training costs. Think scrappy garage band that somehow outsells the big labels.
  • Mistral: Europe’s entry—privacy-first, fast at images, not a coding prodigy.
  • Claude: The straight-A student with impeccable reasoning and coding skills, but maybe a little too cautious.

He also broke down how LLMs work with a Shakespeare example: the complete works of Shakespeare can be compressed into 64 characters, and from there you can train prediction.

Takeaway: No single model rules them all. Match the tool to the job, or risk looking like someone using a butter knife to chop wood.


Josip – The Agent Whisperer

Josip reframed agents as over-eager interns: amazing when guided, disastrous if left unsupervised with finger paints.

He also broke down the types of agents you can start building today:

  • Clipping agents – tiny helpers that grab and organize information.
  • Customer-facing agents – support reps who never sleep.
  • Content agents – creative sidekicks who brainstorm, test, and publish.

Takeaway: treat agents as collaborators, not toys. With structure, they can multiply your capacity; without it, they’ll multiply your headaches.


Alex Lopez – The Philosopher Coder

Alex brought the most reflective and forward-looking perspective.

He even joked: “For all you know, I could be an AI avatar… yes, we are at that stage of AI.”

But he wasn’t just there to philosophize. He grounded his talk in real-world examples of how AI agents are already changing industries:

  • Meta will use AI agents to run ads across Facebook and Instagram by next year (Guardian report).
  • AI Sales agents are already live and closing deals (11x.ai).
  • AI Influencers like Aitana on Instagram are building huge followings without a single human photo shoot.

He also shared his perspective on neuroscience research around AI use—how our brains adapt when we collaborate with machines, and why the relationship isn’t just technical but cognitive and cultural.

Takeaway: Don’t just build agents. Reflect on how they reshape trust, creativity, and the way we think itself.


 Bonus Round – Feedback Frenzy

The real surprise? The fastest 50 students got personalized notes from the mentors. Imagine submitting your first agent and having people who’ve worked with NASA, Adidas, or global startups give you direct feedback. That’s not just learning—that’s a shortcut to mastery.


What We Really Learned

  • LLMs are gladiators in an arena, not gods on a pedestal.
  • AI agents are interns—train them or regret it.
  • Don’t just code—reflect on what you’re creating.
  • Agents are already shaping ads, sales, and even influencer culture.
  • Feedback from experts = the ultimate cheat code.

The fear isn’t AI itself. The fear is being the only one in the room who didn’t try.



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