Prompt Engineering Blog
Tips, tutorials, and insights on prompt engineering for ChatGPT, Claude, Gemini, and more.
-0160.png&w=3840&q=75)
Prompt Patterns for AI Agents That Don't Break in Production
A pragmatic set of prompt patterns for building reliable, testable, and secure AI agents-grounded in real production lessons and current research.
Mar 06, 2026
-0157.png&w=3840&q=75)
System Prompts Decoded: What Claude 4.6, GPT‑5.3, and Gemini 3.1 Are Actually Told Behind the Scenes
A practical, evidence-based look at what "system prompts" really contain, why you can't reliably see them, and how to prompt around them.
Mar 05, 2026
-0156.png&w=3840&q=75)
How to Write Prompts for Cursor, Windsurf, and AI Code Editors in 2026
A practical way to prompt AI code editors: treat prompts like specs, control context, request diffs, and iterate using error taxonomies.
Mar 05, 2026
-0155.png&w=3840&q=75)
Context Engineering in Practice: A Step-by-Step Migration From Prompt Engineering
Move from brittle, giant prompts to an engineered context pipeline with retrieval, memory, structure, and evaluation loops.
Mar 05, 2026
-0154.png&w=3840&q=75)
How to Write Prompts for GPT-5.3 (March 2026): The Practical Playbook
A prompt-writing approach for GPT-5.3 in March 2026-built around structure, testability, and output control, with real prompt templates.
Mar 05, 2026
-0153.png&w=3840&q=75)
How to Write Prompts for DeepSeek R1: A Practical Playbook for 2026
A field-tested prompt structure for DeepSeek R1-built around planning, constraints, and failure-proof iteration for dev and product teams.
Mar 05, 2026
-0152.png&w=3840&q=75)
How to Test and Evaluate Your Prompts Systematically (Without Chasing Vibes)
A practical workflow for prompt QA: define success, build a golden set, run regressions, and use judges carefully-plus stress testing for reliability.
Mar 05, 2026
-0151.png&w=3840&q=75)
Prompt Engineering Certification: Is It Worth It in 2026?
Certifications can help, but only if they prove you can ship reliable LLM systems-not just write clever prompts.
Mar 05, 2026
-0150.png&w=3840&q=75)
Multimodal Prompting in Practice: Combining Text, Images, and Audio Without Chaos
A hands-on mental model for multimodal prompts-how to anchor intent in text, ground it in images, and verify it with audio.
Mar 04, 2026
-0149.png&w=3840&q=75)
What Are Tokens in AI (Really) - and Why They Matter for Prompts
Tokens are the units LLMs actually process. If you ignore them, you'll pay more, lose context, and get worse outputs.
Mar 04, 2026
-0148.png&w=3840&q=75)
Temperature vs Top‑P: The Two Knobs That Quietly Rewrite Your Model's Personality
Temperature and top‑p both change how tokens are sampled-but in different ways. Here's how they reshape reliability, diversity, and failure modes.
Mar 04, 2026
-0147.png&w=3840&q=75)
How to Reduce AI Hallucinations with Better Prompts (Without Pretending Prompts Are Magic)
A practical prompting playbook to cut hallucinations: clarify, constrain, demand evidence, and force uncertainty-plus when to stop prompting and add retrieval.
Mar 03, 2026