Presentación del libro en españolinteligencia artificial

Claude Fable 5.1 & Mythos 5.1

Name: Claude Fable 5.1 & Mythos 5.1
Author: Faramarz Kowsari

The Frontier Agent Playbook: A Practical Operating Manual for Long-Horizon AI Agents, Coding, Research, Knowledge Work, Tools, Verification, Safety, and Production Systems

“Claude Fable 5.1 & Mythos 5.1” es un libro de Faramarz Kowsari dentro del área de inteligencia artificial. Esta página de descubrimiento en español organiza la información pública del libro para que sus temas, público, idioma real de publicación y vías oficiales de lectura o compra sean más fáciles de encontrar.

Los metadatos públicos sitúan este título en temas de inteligencia artificial, herramientas modernas de IA o flujos de trabajo basados en prompts.

Idioma de publicación: inglés. Esta es una página de orientación en español. El libro se publica en inglés; el título, la vista previa y las opciones de compra de Google Books corresponden a esa edición.

Ver en Google Books Abrir vista previa gratuita Página original del libro

¿De qué trata este libro?

Los metadatos públicos sitúan este título en temas de inteligencia artificial, herramientas modernas de IA o flujos de trabajo basados en prompts.

Temas destacados

Claude Fable 5.1Claude Mythos 5.1Long-horizon AI agentsDelegation and executable specificationsModel and effort routingContext engineering and compactionExplicit state and checkpointsTool design and least privilegeVerification and definitions of doneRetry, replan and stop conditionsParallel and multi-agent executionRepository-level coding and debuggingDeep research and evidence pipelinesPDF, spreadsheet and slide intelligence

Descripción pública original del libro

inglés

Claude Fable 5.1 & Mythos 5.1: The Frontier Agent Playbook treats frontier models as components inside an engineered operating system rather than as magical chatbots. The book begins with the shift from short conversations to long-horizon delegated work and explains when Fable 5.1 is justified, how Mythos 5.1 changes the access and safeguard boundary, and why routing should follow task shape, evidence, cost, latency, permissions, and failure risk rather than model prestige. It develops executable specifications, definitions of done, authority matrices, effort calibration, model routing, context hierarchies, compaction, explicit state, bounded tools, least privilege, read-back verification, parallel work, long-running state machines, retries, replanning, stop conditions, multi-agent handoffs, and coordination budgets. Applied chapters cover repository-level coding, debugging, PRD-to-product execution, deep research, PDFs and charts, spreadsheets, slides, computer use, and scientific workflows. Production chapters address caching, batching, cost per completed task, observability, evaluation, safeguards, approvals, and an independent verifier. The closing reference architecture separates intake, task specification, routing, context, tools, runtime, state, artifact storage, permissions, verification, observability, safeguards, evaluation, and delivery, followed by a thirty-day production roadmap and operational scorecards.

¿A quién va dirigido?

El público objetivo se basa en la descripción pública del libro. Para lectores hispanohablantes, conviene tener presente que la edición disponible está publicada en inglés.

For AI engineers, software developers, agent builders, technical product leaders, researchers, automation architects, and advanced Claude users who need to design long-running, tool-using systems that are observable, verifiable, permission-aware, cost-conscious, and safe enough for production work.

Objetivos de aprendizaje publicados