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+# Proposal: Assessing a potential Lesson 09 (AI agents)
+
+## 1) Gap analysis
+The current 8-lesson arc is coherent and progressive for beginners: Lesson 01 establishes GenAI/LLM fundamentals, 02 gets learners shipping a first app, 03 improves prompt quality, 04 introduces structured outputs, 05 adds grounded responses with RAG, 06 adds capability extension through tool calling, and 07-08 teach MCP basics and advanced MCP client patterns. Together, this already covers the core path from "hello world" prompting to practical interoperability patterns in JavaScript.
+
+The single most valuable missing topic is **AI agents/orchestration**, because it is the natural next conceptual step after tool-calling (06) and MCP integration (07-08): learners can combine model reasoning, tool selection, and iterative execution into a controlled loop. Compared with evaluations/testing, safety/guardrails, multimodal apps, deployment, or observability/cost, agents are the strongest fit *for this specific course narrative and sequence* since they directly compose concepts already taught here (prompts + tools + MCP) into end-to-end behavior learners can immediately recognize and build on.
+
+## 2) Go / No-go recommendation
+> ## **NO-GO (for now)**
+
+Although AI agents are the most logical next topic, I recommend **not** adding Lesson 09 in this PR. For this beginner track, the current 8-lesson scope is already complete and appropriately bounded, and introducing agents now risks increasing conceptual load right after MCP. The repository already points learners to a dedicated **AI Agents for Beginners** course, which is a better venue for deeper agent orchestration patterns without overextending this course’s beginner promise. Revisit a Lesson 09 proposal later only if maintainers explicitly want this course to expand beyond its current foundational scope.