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Blog — AI Prompts & Prompt Engineering — Page 48 | PromptABCD

AI Prompts & Prompt Engineering

Practical guides, templates, and tips for Claude, ChatGPT, Gemini, and beyond.

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Prompt Engineering

How to Get AI to Stay Consistent Across Sessions

Losing context every time you start a new AI session is one of the most frustrating daily friction points for AI power users. Getting ai consistency across sessions comes down to one structural habit most people skip.

August 1, 2026·10 min read

Prompt Engineering

Prompts to Avoid: AI Prompt Patterns That Fail

The worst AI prompt patterns aren't obvious mistakes -- they're vague, well-intentioned requests that produce consistently mediocre output. A marketing team identified these five patterns that were quietly tanking their results.

August 1, 2026·10 min read

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Prompt Engineering

Timeless Prompt Patterns That Always Work

Researchers found just 8 prompt patterns account for 73% of high-quality AI outputs. These are the prompt patterns that always work -- structural templates that produce reliable results regardless of model or task.

August 1, 2026·10 min read

Prompt Engineering

Prompt Debugging: How to Fix Bad AI Outputs Systematically

Getting a bad AI output is easy to spot but hard to fix without a system. Prompt debugging is the skill that separates people who fight with AI tools from those who actually rely on them.

July 31, 2026·8 min read

Prompt Engineering

How to Prompt AI for Long-Form Content That Doesn't Fall Apart

Most AI guides focus on getting length from long-form content prompts -- the real problem is keeping quality consistent from paragraph one to paragraph 3,000. Here's the prompt structure that actually solves it.

July 31, 2026·8 min read

Prompt Engineering

Function Calling in AI: Prompt Strategies That Actually Work

AI function calling lets models trigger real actions -- not just generate text -- and the difference between a function call that works reliably and one that fails randomly usually comes down to how you prompt it.

July 31, 2026·8 min read

Prompt Engineering

Multimodal Prompting: Combining Text and Images

Multimodal prompting -- combining text and images in a single AI request -- unlocks capabilities that text-only prompts simply can't touch. Here's how to do it effectively across real-world use cases.

July 31, 2026·8 min read

Prompt Engineering

How to Choose the Right AI Model for Your Task

Choosing the right AI model for your task can cut your costs by 60% and double your output quality -- yet most people just default to the biggest model they can access. This guide gives you a decision framework that actually works.

July 31, 2026·8 min read

Prompt Engineering

Tokenization Explained for Prompt Engineers

A developer lost an afternoon debugging a truncated prompt that wasn't actually broken -- he was counting words, not tokens. Tokenization explained the way prompt engineers actually need to understand it.

July 31, 2026·8 min read

Prompt Engineering

How AI Models Read and Process Your Prompts

A critical rule kept vanishing from a 40-rule chatbot prompt, and adding emphasis didn't fix it. This case study on how AI reads prompts explains the positional effect that was actually causing the failure.

July 31, 2026·8 min read

Prompt Engineering

In-Context Learning: What It Is and How to Use It

How does AI learn a brand-new pattern from just three examples, with no retraining at all? This guide breaks down in-context learning, the ability behind few-shot prompting, and how to get more consistent results from it.

July 31, 2026·8 min read

Prompt Engineering

Prompt Engineering vs RAG: Key Differences

A support bot kept confidently answering with outdated feature info -- no amount of better prompting fixed it. This guide to prompt engineering vs RAG shows how to diagnose a knowledge gap versus an instruction gap.

July 31, 2026·8 min read