Episode Details

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 as new employees rather than magic boxes to ensure precise execution.

Keywords: Agentic Workflow, Context Management, Progressive Disclosure, Modular Skills, Recursive Improvement, AI Tools.

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