Migración del tutorial online — 2 de octubre de 2026: OpenAI Swarm es experimental y OpenAI lo reemplazó por OpenAI Agents SDK para producción. Esta página mantiene la guía original de noviembre 2025, pero el tutorial inicial ahora usa Agents SDK y suma notas de migración desde Swarm. Si ya tenés un piloto con Swarm, no lo lleves a producción sin migrar.
Online tutorial migration — October 2, 2026: OpenAI Swarm is experimental and superseded by the OpenAI Agents SDK for production. The original November 2025 playbook is preserved, with the starter tutorial updated to Agents SDK plus migration notes.
El repositorio de Swarm explica su reemplazo. Seguí el quickstart oficial de Agents SDK y validá permisos, costos y resultados antes de producción.
AI Agents for BusinessThe 2025 Implementation Playbook
Written in English for CTOs, developers, and technical founders who need to ship production-grade AI agents. Covers OpenAI Agents SDK, Anthropic Claude, LangGraph, cost optimization, and illustrative scenarios from the November 2025 edition.
El PDF conserva la edición de noviembre de 2025. El tutorial online incorpora la migración a Agents SDK; no son archivos idénticos.
Inside the playbook
- 40 tactical pages: Zero fluff. Every page includes code samples, architecture diagrams, or cost breakdowns.
- Framework-agnostic with production warning: Compare OpenAI Agents SDK (current for production), Anthropic MCP, LangGraph, CrewAI, AutoGen with implementation tradeoffs. Swarm covered only as migration reference — not for new production builds.
- Production-ready patterns: Security, monitoring, error handling, rate limiting, and cost optimization strategies.
- Illustrative business scenarios: Customer support automation, data analysis agents, sales SDR bots, and code generation systems.
What you'll master
Framework Comparison
Deep dive into OpenAI Agents SDK, Anthropic MCP, LangGraph, CrewAI, and AutoGen with illustrative comparisons. Includes Swarm → Agents SDK migration map: what logic to reuse, what to rewrite, and what to test again.
Architecture Patterns
7 proven patterns: ReAct, Chain-of-Thought, Tree of Thoughts, Multi-Agent Orchestration, and more.
Cost Optimization
Caching, shorter prompts and model routing: measure quality and costs against your own baseline.
Production Deployment
Security, monitoring, error handling, rate limiting, and scaling from MVP to enterprise.
Content breakdown
Foundations (P01-P10)
- AI Agents 101: Definitions, capabilities, limitations (Nov 2025 state-of-the-art)
- Framework landscape: OpenAI, Anthropic, LangChain, AutoGen, CrewAI comparison matrix
- When to use agents vs. fine-tuning vs. RAG: Decision tree with illustrative scenarios
Implementation (P11-P25)
- Building your first agent: quickstart with OpenAI Agents SDK (code included) + Swarm migration appendix
- 7 architecture patterns with pros/cons and cost implications
- Tool calling mastery: API integration, error handling, retry logic, circuit breakers
- Memory systems: Short-term, long-term, vector DBs (Pinecone, Weaviate, Qdrant)
- Multi-agent orchestration: Supervisor, democratic, hierarchical patterns
Production & Scale (P26-P40)
- Cost optimization: Caching, prompt compression, model routing, batch processing
- Security: Prompt injection defense, data sanitization, PII handling
- Monitoring & observability: LangSmith, Helicone, custom telemetry
- Case studies: Customer support, data analysis, sales automation, code generation
- From predictions to production checks: how to re-validate models, pricing, and limits before quoting — version pinning, eval set, fallback model, and cost guardrails. The November 2025 model predictions were removed to avoid stale build-vs-buy decisions
Who this is for
Senior Developers
Building AI features into existing products or creating new AI-native applications.
CTOs & Tech Leads
Evaluating frameworks, estimating costs, and making build-vs-buy decisions for AI agents.
Founders & Product Managers
Understanding what's possible with AI agents and scoping MVPs with realistic timelines.
Ready to implement AI agents?
Download the full 40-page playbook or start reading online now.
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