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A prompt paints a thousand words

Prompt Evaluation: Versioning, Scoring and Drift

Prompt changes regress silently. How to version prompts, build a baseline set, score a change before shipping, and catch prompt drift after release.

LLM Prompt Monitoring: Track Prompt Versions in Production

LLM prompt monitoring links every production trace to the prompt version behind it. Learn the trace fields, signals, alert rules and triage for a regression.

Claude Opus 5.5 Prompting: Give the Task a Boundary

— “Help me with this” leaves a lot for a model to decide. “Follow these forty rules” can create a different problem: several rules may disagree, and the actual job gets buried unde...

The Promptly Written Monthly Theme for October

Let’s get writing!Continue reading on Promptly Written »

Sometimes the Best Prompt Is /new

Originally appeared on All about coding.Once a chat takes a wrong turn, the model gets lost and does not recover. Multi-turn performance drops 39% on average across 200,000+ simula...

What are AI agent prompts and how to write them

AI agent prompts are instructions that tell an AI agent what to achieve, what information and tools to use, what [...] Read More... The post What are AI agent prompts and how to wr...

Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting

I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation. The post Changing One Prompt Can Aff...

System Prompt Design for Voice Agents [Testμ 2026]

Amanda Martin of Vapi on three restaurant booking agents built from the same script, why only one caught an ambiguous date, and how to test with simulations.

Context Engineering vs Prompt Engineering: Key Differences | Simplilearn

TL;DR: Prompt engineering enhances the instructions given for using an AI model, while context engineering involves building the surrounding context within which such instructions...

Prompt as self-portrait, De-slopifying your designs, The strategic designer

Weekly curated resources for designers — thinkers and makers.“Every prompt is a confession. Before the model returns a word, the box has read me back: the clarity of my thinking, t...

Prompt Engineering For Instructional Designers: A Practical Playbook

Most Instructional Designers use AI, few get course-ready output, and the gap is the prompt. This playbook gives a reusable five-part scaffold plus four copy-paste patterns for sto...

What We Can Learn From Google Engineers’ Indispensible Prompts

Hey, Google Engineers: What prompt do you personally refuse to work without, and why?

How to Build a Simple Evaluation Harness for Your LLM Prompts

You changed a prompt and the outputs look different. Better or worse? Without a way to check, that question gets answered by whoever argues hardest, and this builds the thing that...

Prompt engineering fundamentals for Amazon Quick

Prompt engineering in Amazon Quick shapes how accurately its AI-powered features respond to your requests. Part 1 of a two-part series covers the foundational principles and reusab...

Golden Prompts: Turning AI Prompting into an Engineering Practice

AI-assisted software engineering is becoming part of software development on a daily basis. AI tools are used now for code creation, writing tests, reviewing changes, troubleshooti...

Prompting Anthropic v5 for Cloud Engineers: Practical Rules for Sonnet 5, Open 5, and Fable 5.1

With each new model generation, Anthropic updates its prompting best practices, and the 5th generation is no exception. This post distils the practical guidance from Anthropic’s d...

Claude Opus 5.5 Prompting Guide: Dropping “Think Carefully” from Prompts Sharpens Responses

Anthropic’s Opus 5.5 is designed to handle complex tasks with precision, but effective use requires more than just basic interactions. As Better Stack explains, the structure of yo...

Prompt Injection Attacks Explained | Simplilearn

TL;DR: Prompt injection is a practical security risk where hidden instructions manipulate how AI systems behave. It can cause data leaks, unsafe actions, and loss of control, espec...

Prompt engineering by Quick component: Patterns and pitfalls

Part 2 of our Amazon Quick prompt engineering series goes component by component. Learn the prompt patterns that get the best results from Amazon Quick Research, Quick Flows, Quick...

MCP Server Instructions: How to Test for Prompt Injection

MCP prompt injection can start at connection time: 66% of live registry servers in an August 2026 audit return instructions. Learn how to test your MCP client.

5 Claude Prompting Habits You Should Update in 2026

For a long time, I used one prompt structure for almost every task I gave Claude. The format felt reliable. I had used it for writing, research, planning, and technical work. Becau...

I Stopped Asking One Prompt to Build the Whole AI Video

TL;DR For two-person AI video scenes, I now split the work into two passes: approve a still image first, then animate only that composition. It makes failures easier to diagnose...

I rerolled one AI video prompt 10 times. The prompt was the problem, not the dice.

When an AI video clip comes out wrong, the reflex is to hit generate again. Sometimes that's right: video models are probabilistic, and some takes are just weaker than others. But...