BUILD WITH AI — Season 1
Episode 01 — The Agentic Trail
Session summary
We walked the Agentic Trail — how AI systems evolve from chatbots into assistants, workflows, tool-using agents, and more autonomous systems. The session covered the agentic loop (reason, act, observe, repeat), where human oversight still matters, and when an agent is actually the right solution.
What we covered
- Chatbots vs assistants vs workflows vs agents
- The agentic loop: reason, act, observe, repeat
- Tools, memory, context, and state
- Human-in-the-loop vs autonomous execution
- Common agentic AI use cases
- Where teams often over-engineer
- When not to build an agent
- How today's popular AI tools fit on the Agentic Trail
Takeaway
Leave with a clear mental model for understanding agentic AI and evaluating where different tools and architectures fit.
Thanks to everyone who joined, asked questions, shared feedback, and helped make the first session a strong start.
If you’d like to join the upcoming sessions, please register here.
Keep learning. Keep building. Think Agentic.
#AgenticAI#AIAgents#GenerativeAI#BuildWithAI#ArtificialIntelligence
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Builder Series is where you explore. The cohort is where you build, get feedback, and ship something real.
This free series is a practical introduction. Join the cohort when you want to build with more depth, feedback, and a real ship.
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