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Future of Agentic AI

Capstone: Build Your Agent

Build your own sophisticated AI agent from scratch as a capstone project

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Welcome to Your Capstone Project

You've completed 99 modules covering foundations, tools, planning, memory, frameworks, multi-agent systems, orchestration, safety, evaluation, and advanced topics. Now it's time to put everything together.

🎯Your Mission

Build a production-ready AI agent that demonstrates your understanding of agentic systems. Your agent should have:

  • •Clear Purpose: Solves a specific, real-world problem
  • •Tool Integration: Uses 3-5 tools effectively
  • •Planning Logic: ReAct or Plan-Execute pattern
  • •Memory System: Short-term context + optional long-term
  • •Error Handling: Graceful failures, retries, fallbacks

Interactive: Project Development Timeline

Building a production agent takes 15-23 hours split across 4 phases. Click each phase to see tasks:

📋
Planning & Design
Estimated: 2-3 hours
Key Tasks
  • →Define your agent's purpose and scope
  • →Choose tools and capabilities needed
  • →Design the workflow and decision logic
  • →Plan error handling and edge cases
Deliverable
Clear specification document

Recommended Project Ideas

Choose a project that interests you and matches your skill level:

📧
Email Assistant
Agent that reads emails, categorizes them, drafts responses, and schedules follow-ups
Tools: Gmail API, Calendar, Search, Draft Generator
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Research Agent
Agent that researches topics, synthesizes information, and generates comprehensive reports
Tools: Web Search, PDF Reader, Summarizer, Citation Manager
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Finance Analyzer
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Tools: CSV Parser, Calculator, Chart Generator, Database
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Learning Tutor
Agent that creates personalized lessons, quizzes students, and adapts to learning pace
Tools: Content Generator, Quiz Builder, Progress Tracker, Feedback System
💡
Pro Tip: Start Simple

Your first version doesn't need to be perfect. Build a minimal viable agent with 2-3 tools and basic ReAct logic. Test it on real scenarios. Then iterate—add memory, improve error handling, expand capabilities. Most production agents started as simple prototypes that evolved over months.

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