Module 16 Wrap-up: The Experience Engineer
Hands-on: Design a dashboard concept for a multi-agent research crew that shows planning and status.
Module 16 Wrap-up: Designing for the Future
You have learned that the "Brain" is nothing without the "Body." A great agentic system requires an interface that communicates Intent, Progress, and Source.
Hands-on Exercise: The Global Research Dashboard
The Task: Draw (or describe in code) a dashboard for an agent that is rewriting a user's resume.
- It must have a Progress Tracker (Showing nodes like 'Archive History', 'Find Keyword Match', 'Draft Version 1').
- It must have a Canvas Area where the new resume text appears in real-time.
- It must have a Source Inspector where the user can see which job description keywords the agent chose to emphasize.
Scenario: The User sees the following:
- Stage: "Keyword Optimization" (75% Complete).
- Thought: "I am emphasizing your experience with 'Python' because the job description lists it as a mandatory skill."
- Action: Clicking the word 'Python' highlights the specific sentence in the draft.
Module 16 Summary
- Beyond Chat: Specialized agents need specialized UIs (Generative UI).
- Real-time Streaming: Showing intermediate steps is the only way to build trust with slow models.
- Async Workflows: Designing for minutes of latency requires notifications and persistent status pages.
- Multi-Modal: Vision and Audio transform the agent from a "Bot" into a "Senses-aware Assistant."
Coming Up Next...
This is our final module! In the Capstone Project, you will combine everything you have learned—LangGraph, CrewAI, ADK, Security, and UX—to build your own Sovereign Multi-Agent System.
Module 16 Checklist
- I have used the
Vercel AI SDKor explored its documentation. - I can describe the benefit of "Progressive Disclosure."
- I understand the difference between a "Thread" and a "Canvas."
- I have designed a notification strategy for my Capstone Project.
- I am ready to build my final autonomous agent.