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Prompt Engineering Deep Dive

Advanced Architecture

Beyond the Four Components

Beyond the Four Components — Quick Check

Prompt Chaining Strategies

Prompt Chaining Strategies — Quick Check

Managing Long Context Effectively

Managing Long Context Effectively — Quick Check

Building a Reusable Prompt Library

Building a Reusable Prompt Library — Quick Check

Reasoning & Control

Chain-of-Thought Deep Dive

Chain-of-Thought Deep Dive — Quick Check

Self-Critique & Refinement Loops

Self-Critique & Refinement Loops — Quick Check

Structured Output with Schemas

Structured Output with Schemas — Quick Check

Constrained Generation Techniques

Constrained Generation Techniques — Quick Check

Applied Patterns & Evaluation

Prompting for Analysis & Research

Prompting for Analysis & Research — Quick Check

Prompting for Brand Voice & Creative Work

Prompting for Brand Voice & Creative Work — Quick Check

Testing & A/B Comparing Prompts

Testing & A/B Comparing Prompts — Quick Check

Capstone — Rebuild Your Top 5 Prompts

Capstone — Rebuild Your Top 5 Prompts — Quick Check

Constrained Generation Techniques — Quick Check

Prompt Engineering Deep Dive
Reasoning & Control
Constrained Generation Techniques
Constrained Generation Techniques — Quick Check

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Question 1 of 3

1. Question

You set a 100-word limit at the top of a long, complex prompt, and the output regularly comes in at 180-200 words. What’s the most effective single fix?

Lower the stated limit to 50 words to compensate
Correct Incorrect Correct answer

Restate the limit immediately before the generation point, framed as a strict limit rather than a target
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Give up on word limits for complex tasks
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Switch the limit to a character count instead
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Question 2 of 3

2. Question

A prompt asks for ‘five distinct, well-explained points in exactly 40 words’ and consistently fails. What’s the most likely underlying problem?

The model is incapable of following any constraints
Correct Incorrect Correct answer

The two constraints are likely in genuine conflict — five substantive points can't fit in 40 words — so no amount of reinforcement will fix it
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The prompt needs to be repeated three times
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Word limits never work with numbered lists
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Question 3 of 3

3. Question

What’s an effective way to catch constraint violations on high-stakes output (e.g., a legal disclaimer that must appear) before it goes out?

Trust the model completely after the first successful run
Correct Incorrect Correct answer

Run a dedicated check pass that lists each constraint and asks Claude to verify pass/fail against the actual draft
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Constraints on legal content can't be verified
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Only check manually, never use Claude for verification
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