1. How the Models Behave (Probability, Entropy, and the Effort Dial)
Master Claude Chat, Cowork, Code11 Syys

1. How the Models Behave (Probability, Entropy, and the Effort Dial)

In Episode 1 of Beyond Prompting, we go under the hood of modern AI models to understand how they actually generate text and why they behave the way they do. We break down the fundamental mechanics of token probability distributions, explaining why language models have no separate database of facts and why fluency doesn't guarantee correctness. We cover four core operational concepts:

    • What the Model Is Actually Doing: How the token sampling loop operates and why everything you write shapes the mathematical distribution of what comes next.
    • Entropy & Hallucination: Why AI "hallucinates" in high-entropy regions where possibilities branch widely, and how giving models access to real files and commands grounds their output.
    • The Shift to Effort: Why traditional sampling parameters like temperature and top-p return errors on newer models (Opus 4.7+), and how the Effort dial (from low to max) allows you to explicitly control thinking time based on task complexity.
    • Five Tiers & 1M-Token Context: Navigating the model lineup—Mythos, Fable, Opus, Sonnet, and Haiku—and why a 1-million-token context window is a resource to manage deliberately rather than dilute with noise.

(Note for listeners: This episode covers Chapter 1 of Sho Shimoda's book RUNNING CLAUDE: The Operator’s Guide to Chat, Cowork and Claude Code, available on Amazon as the successor to Master Claude).

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19. Preventing Context Pollution with Subagents (Delegating Heavy Lifting)

19. Preventing Context Pollution with Subagents (Delegating Heavy Lifting)

In Episode 19 of Beyond Prompting, author Sho Shimoda explores how to manage complex, search-heavy engineering tasks without cluttering your main conversation window using Subagents. When an agent rea...

14 Loka 52min

18. Packaging and Distributing Workflows (Plugins and Marketplaces)

18. Packaging and Distributing Workflows (Plugins and Marketplaces)

In Episode 18 of Beyond Prompting, author Sho Shimoda explores how to bundle your team's custom skills, commands, subagents, hooks, and MCP server configurations into a single, installable unit using ...

12 Loka 29min

17. Connecting Systems with MCP (The Stateless Wire Protocol)

17. Connecting Systems with MCP (The Stateless Wire Protocol)

In Episode 17 of Beyond Prompting, author Sho Shimoda breaks down the Model Context Protocol (MCP)—the open standard that connects Claude Code to external systems like ticket trackers, wikis, and data...

11 Loka 47min

16. Packaging Standard Operating Procedures (Agent Skills)

16. Packaging Standard Operating Procedures (Agent Skills)

In Episode 16 of Beyond Prompting, author Sho Shimoda breaks down how to turn your team's recurring instructions and workflows into executable Agent Skills. Rather than re-explaining multi-step proced...

9 Loka 50min

15. Prompt Caching and Durable State (The Economics of Context and Memory)

15. Prompt Caching and Durable State (The Economics of Context and Memory)

In Episode 15 of Beyond Prompting, author Sho Shimoda breaks down prompt caching—the single largest cost lever in the Claude Code ecosystem—and demonstrates how to manage long-term project memory. We ...

5 Loka 48min

14. Memory, Compaction and Checkpoints (Managing Context in Long Sessions)

14. Memory, Compaction and Checkpoints (Managing Context in Long Sessions)

In Episode 14 of Beyond Prompting, author Sho Shimoda breaks down how to manage context budgets and session state when conversations run long. We examine the three core mechanisms that control what Cl...

4 Loka 45min

13. Curing AI Amnesia (CLAUDE.md and Rules)

13. Curing AI Amnesia (CLAUDE.md and Rules)

In Episode 13 of Beyond Prompting, author Sho Shimoda breaks down how to configure persistent repository instructions using CLAUDE.md and rule files. Rather than treating CLAUDE.md as a generic style ...

30 Syys 46min

12. Safe Refactoring of Legacy Code (Characterize, Change, Verify)

12. Safe Refactoring of Legacy Code (Characterize, Change, Verify)

In Episode 12 of Beyond Prompting, we tackle one of the most high-stakes tasks in software engineering: letting an AI agent refactor an existing codebase. Author Sho Shimoda breaks down why asking Cla...

29 Syys 44min