Notas del episodio
Forget model wars. Success in 2026 requires a tight Agentic Workflow, not just a smarter model. Leverage progressive disclosure and modular skills to save 90% on token costs. Learn to manage context rot and build recursive loops for high-stakes AI automation. 🚀
We'll talk about:
- The shift from picking the strongest models to building high-performance Agentic Workflows.
- Understanding "Context Rot" and the "Dumb Zone" where model quality degrades between 50K and 150K tokens.
- Why giant instruction files act as a token-burning performance tax on your AI sessions.
- How progressive disclosure and modular skills provide an eighteen-to-one token savings ratio.
- The recursive improvement loop for fixing and refining broken AI skills through real-world runs.
- Treating AI agents ...
Palabras clave
AI ToolsContext ManagementAgentic WorkflowProgressive DisclosureRecursive ImprovementModular Skills