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AgenteAbierto · YouTube Analyzer

DocType: YouTube Video

Reproductor de Video

Campo embed (DocField):
embed · Text/HTML

Build Hour: Valuemaxxing with GPT-5.6

Todos los campos y metadatos del DocType YouTube Video · agenteabierto_web
Documento activo
nameData · PK
Identificador único del documento. Clave primaria autogenerada por Frappe Framework.
jyuyY86GJnA
titleData · Req
Título descriptivo del video de YouTube. Campo de texto principal visible en listas y vistas.

None

embedText · HTML
Código embed de YouTube (iframe). Este campo alimenta directamente el reproductor. Contiene la URL con video ID y parámetros.
None
youtube_urlData · URL
URL completa del video en YouTube. Usada para extraer el video_id y construir el embed dinámicamente.

None

descriptionText · Long
Descripción detallada del contenido del video. Puede incluir resumen, puntos clave, transcripción parcial o notas del editor.
None
categoryLink · Select
Categoría temática del video. Permite clasificar y filtrar el contenido por área de conocimiento o temática.
None

Campos del Sistema Frappe

ownerData · System

Administrator

creationDatetime · Auto
2026-07-24 15:41:18.017592
modifiedDatetime · Auto
2026-10-11 18:01:42.879617
modified_byData · System
Administrator
docstatusInt · 0=Draft 1=Sub 2=Can

0

Mapa de DataKeys y Fieldnames

fieldnamefieldtypedata_key
nameDatajyuyY86GJnA
title

Data

Build Hour: Valuemaxxing with GPT-5.6
embedTexthttps://www.youtube.com/embed/jyuyY86GJnA
youtube_urlDatahttps://www.youtube.com/watch?v=jyuyY86GJnA
descriptionLong TextGet more useful work from every token with GPT‑5.6. In this Build Hour, you’ll learn how to choose the right model for your workload—and migrate production agents while improving speed, cost, and performance. Charlie Guo (DevEx), Bryant Chou (Founder, Ploy) and Lorenzo Gentile (AI Engineer, Ploy) will cover how to: • Choose between GPT‑5.6 Sol, Terra, and Luna based on intelligence, latency, and cost • Measure and optimize cost-performance across real workloads • Adapt evals, agent harnesses, tool schemas, and prompt caching when migrating models • Move production agents to GPT‑5.6, featuring a customer spotlight on how Ploy achieved 2.2× faster builds at 27% lower cost • Apply these lessons through live demos and Q&A 👉 GPT-5.6 blog: https://openai.com/index//gpt-5-6 👉 Programmatic tool-calling: https://developers.openai.com/api/docs/guides/tools-programmatic-tool-calling 👉 Compare models: https://developers.openai.com/api/docs/models/compare 👉 Migrating a production AI agent: https://ploy.ai/blog/migrating-a-production-ai-agent-to-gpt-5-6 👉 Build Hour repo: https://github.com/openai/build-hours 00:00 Introduction 02:50 Tokenmaxxing vs. valuemaxxing 07:11 Valuemaxxing Codex 15:16 Valuemaxxing your harness 23:48 Customer spotlight: Ploy’s migration to GPT-5.6 39:57 Q&A 53:13 Resources and closing

category

Link

doc.category
published_dateDate2026-07-24 19:47:16
is_publishedCheck0