Day 10: AI Agent Lessons and What’s Ahead

Welcome to the last day of Building Agentic AI Applications!

Missed previous days’ posts? Find them here

We’ve spent 9 days getting under the hood of agentic AI. Today’s the last day, and we’re bringing it all together.

A Quick Recap

Here’s what we covered:

• What agents are (Day 1): not just chatbots that generate text, but systems that can decide and act.

• Types of agents (Day 2): from tightly controlled workflow agents to fully autonomous ones, all depending on how much decision-making you hand over.

• Tools and RAG (Days 3–4): the bread and butter of agent action and knowledge grounding.

• MCP (Day 5): a clean way to structure everything an agent needs, tools, memory, prior messages, in one payload.

• Planning and reasoning models (Day 6): why plain LLMs aren’t enough for complex decisions, and how newer models are built for multi-step tasks.

• Memory (Day 7): short-term vs. long-term memory, what to store, how to retrieve, and why it matters for continuity.

• Multi-agent systems (Day 8): orchestration, peer-to-peer collaboration, and the messiness of coordinatio…