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Ebook
248 Pages • 42 Diagrams

The AI Prompt Playbook

Systematic frameworks for generating production-ready code, copy, and analysis.

FORMAT:PDF (Print-Ready & Screen) +3
$49USD
VOLUME & LENGTH248 Pages • 42 Diagrams
RELEASE VERSIONv3.2 • Updated this month
INCLUDED DIGITAL FORMATS:
PDF (Print-Ready & Screen)ePub ReaderNotion Workspace TemplateQuick Reference Cheat Sheet
EbookBestseller
4.96(1420 reviews)

The AI Prompt Playbook

A comprehensive 240-page technical guide to advanced prompting architectures. Master chain-of-thought, recursive decomposition, persona steering, and few-shot calibration for GPT-4o, Claude 3.7 Sonnet, and Gemini 2.5.

Key Takeaways & Core Modules:
12 repeatable prompting meta-frameworks for technical work
Context window optimization & token budgeting guides
System prompt hardening and safety jailbreak guards
Complete Notion playbook database with 1-click duplicate
Coming SoonLaunching this month
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Syllabus & Blueprint

What's Included in The AI Prompt Playbook

MODULE 01

Part 1: Cognitive Foundations & Token Dynamics

  • Chapter 1: The Modern Attention Mechanism for Prompt Engineers
  • Chapter 2: Context Window Architecture & KV-Cache Economics
  • Chapter 3: Avoiding Hallucinations Through Negative Constraint Enforcing
MODULE 02

Part 2: The 12 Production Prompt Frameworks

  • Chapter 4: Schema-First Constraint Decomposition (SFCD)
  • Chapter 5: Recursive Self-Evaluation & Verification Loops
  • Chapter 6: Few-Shot Calibration with Latent Space Anchors
  • Chapter 7: Multi-Persona Committee Synthesis
MODULE 03

Part 3: Model-Specific Optimizations (Claude 3.7, GPT-4o, o3)

  • Chapter 8: Tuning Extended Thinking Budgets in Claude 3.7
  • Chapter 9: OpenAI o-Series Logic Prompts for Deep Math & Code
  • Chapter 10: Production Evaluation Harnesses with Python
Sample Excerpt: Framework #04: Constraint-First Structured Decomposition

Traditional prompting prompts the model before outlining hard architectural boundaries. By inverting the priority sequence and strictly typing output schemas, you eliminate hallucinations and reduce token overhead by up to 60%...

// SCHEMA-FIRST SYSTEM PROTOCOL
<system_directive>
  Role: Senior Systems Architect
  Format: Strict JSON Schema with RFC 8259 compliance
  Constraints: No preamble, zero fluff, deterministic typing
  Schema_Spec: {
    "architecture_verdict": "monolith" | "microservices" | "modular_monolith",
    "risk_analysis": Array<{ "failure_mode": string, "mitigation": string }>,
    "token_budget_est": number
  }
</system_directive>
Questions & Answers

Frequently Asked Questions

It covers Claude 3.7 Sonnet, OpenAI GPT-4o, o3-mini, and Gemini 2.5 Flash, with dedicated chapters for model-specific behavior and reasoning tokens.