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Cursos/DeepSeek Harness (DSH)/DeepSeek Harness · Phase 9
Revisión pendiente desde 21 ago 20262 fuentes primarias

Use cases, metrics and benchmarks

Evaluate DSH with recognizable work: a real issue, a cited document or a reversible automation. Generic benchmarks only provide context.

Qué vas a conseguir ahora

Una decisión o prueba aplicada a «Use cases, metrics and benchmarks».

  1. 1Entiende el criterio
  2. 2Haz una práctica pequeña
  3. 3Guarda una evidencia
Evidencia

Una nota breve con qué hiciste, qué salió bien, qué falló y qué revisarías después.

Objetivos de aprendizaje
  • Design a small evaluation suite.
  • Measure quality, safety, cost and time.
  • Choose a production-ready use case.

Five tests that matter

Build a short suite before adopting an agent in a team. Preserve prompts, versions and results so you can detect regressions.

  • Code: a small issue with existing tests.
  • Documents: a summary with citations and no invented facts.
  • Tools: a reversible action with approval.
  • Safety: an ambiguous or hostile instruction that should be rejected.
  • Cost: total time and retries to an acceptable result.

Decision table

A production recommendation needs repeatable benefit and contained failure. If you cannot explain how an error is detected and reversed, keep it in pilot mode.

Terminal
Metric              Goal
Acceptance rate     Usable without major rewrite
Reversal rate       Changes undone because of error
Total time          Request through verification
Incidents           Actions outside policy
Cost per outcome    Not only cost per token
Comprueba que funciona. Run three cases and keep a table with result, evidence, time and decision: adopt, adjust or reject.
Guardar y reabrir el proyecto.
Evaluation bridges an impressive demo and a trustworthy tool.

Si has guardado la evidencia de esta lección, continúa con «Troubleshooting and production operation». Si no, repite la comprobación antes de avanzar.

Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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