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The AI Agent Starter Kit

5 ready-to-use templates, a framework comparison chart, security checklist, and step-by-step deployment guide. Everything you need to build your first AI agent.

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What's Inside

1

5 Agent Templates

Copy-paste Python templates for the most common agent patterns:

  • ReAct agent (reasoning + acting)
  • Tool-calling agent with fallback
  • Multi-agent orchestrator
  • RAG agent with vector search
  • Autonomous task planner
2

Framework Comparison

Side-by-side comparison of every major AI agent framework:

  • LangGraph vs CrewAI vs AutoGen
  • Claude Agent SDK vs OpenAI Agents
  • Pricing, performance, and lock-in risk
  • When to use each (decision tree)
3

Security Checklist

27-point checklist to secure your AI agent before deployment:

  • Prompt injection prevention
  • Tool permission boundaries
  • Output validation patterns
  • Rate limiting and cost caps
4

Deployment Guide

Step-by-step instructions to go from local prototype to production:

  • Docker containerization
  • Cloud deployment (AWS/GCP/Azure)
  • Monitoring and observability
  • Scaling and cost optimization

Framework Comparison Preview

Full detailed comparison included in the Starter Kit

Framework Best For Learning Curve Production Ready
LangGraph Complex multi-step workflows Moderate Yes
CrewAI Multi-agent collaboration Low Growing
Claude Agent SDK Tool-use agents, code agents Low Yes
AutoGen Research, conversational agents Moderate Growing
OpenAI Agents SDK GPT-based tool agents Low Yes
Custom (no framework) Full control, simple agents High Depends

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