𝐇𝐨𝐬𝐭𝐬/𝐄𝐱𝐩𝐞𝐫𝐭𝐬:

Mateusz Kaczorek, Senior Data Scientist

Karol Kawalerczyk, Senior Data Scientist

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐞𝐩𝐢𝐬𝐨𝐝𝐞:

This episode continues the discussion from the Project: AI 2.0 workshops about AI Agents, featuring SoftServe Senior Data Scientists Mateusz Kaczorek and Karol Kawalerczyk. Together, they examine the AI market, clarify what makes an agentic framework, debate multi-agent system design, and compare fine-tuning vs. prompt engineering.

A forward-looking conversation for experts, leaders, and practitioners who want to understand how AI agents can move from hype to measurable impact.

𝐓𝐢𝐦𝐞𝐬𝐭𝐚𝐦𝐩𝐬:

00:00 Intro – AI agents & Project AI workshop

00:35 Guest intro – Karol joins the discussion

01:10 State of AI market – predictions & failures

06:16 Tools & best practices – missing standards

08:00 AI surprises – coffee grinder & Japanese house

11:43 What makes a framework “agentic”?

21:14 Multi-agent systems – when & why to use them

27:07 Framework evolution – agents creating agents

29:19 Rigid vs flexible workflows – design tradeoffs

37:16 Fine-tuning vs prompt engineering

45:42 Evaluating multi-agent systems – path vs regression

53:52 Metrics & business alignment – accuracy first

59:14 Selling AI agents – avoiding “Skynet” promises

1:04:11 Pilot strategy – flashy demos vs back-office wins

1:08:12 Quick-fire game – fine-tune, memory, buzzwords

1:12:46 Risks & guardrails – database & cloud safety

1:14:16 Final remarks – resources & recommendations