The Learning Prompt Engineering Blog
Practical articles on how AI models process prompts, methods that often improve your results, and how those techniques hold up in real tasks. Organized into three areas — getting started, techniques, and real-world use — so you can start wherever’s useful to you.
What's New
Fresh content across all three topic areas — published on a rolling schedule.
Testing Your Conversational AI Flow: A Practical Checklist
Use this 7-point checklist to test your conversational AI flow for persona consistency, scope handling, and user goal completion before deploying.
Base AI Models vs. Tool-Connected AI: What Your Chatbot Can’t Do
Learn why base AI models have no memory between sessions and when a tool-connected AI system is required for your conversational design.
How to Build a Reusable Conversation Template
Build a reusable conversation template with five fields: persona, opening sequence, edge cases, reset triggers, and success criteria.
Grounding Prompts vs. Conversation Resets: When to Use Each
Compare grounding prompts and conversation resets — two tools for managing context drift. Learn when each strategy fits your conversational flow.
3 Common Chatbot Design Mistakes (and How to Fix Them)
Avoid the 3 most common chatbot design mistakes: assuming AI memory, bloated system messages, and missing edge-case handling. Includes fixes for each.
Context Windows in Chatbots: What Fills Up and What Gets Lost
Understand how context fills up in a chatbot conversation and why ignoring it leads to drift, inconsistency, and off-scope responses.
Getting Started
New to prompt engineering? This is where you begin. You'll learn what prompts actually are, how AI models process them, and the foundational concepts that make everything else click.
Testing Your Conversational AI Flow: A Practical Checklist
Use this 7-point checklist to test your conversational AI flow for persona consistency, scope handling, and user goal completion before deploying.
Base AI Models vs. Tool-Connected AI: What Your Chatbot Can’t Do
Learn why base AI models have no memory between sessions and when a tool-connected AI system is required for your conversational design.
How to Build a Reusable Conversation Template
Build a reusable conversation template with five fields: persona, opening sequence, edge cases, reset triggers, and success criteria.
Grounding Prompts vs. Conversation Resets: When to Use Each
Compare grounding prompts and conversation resets — two tools for managing context drift. Learn when each strategy fits your conversational flow.
3 Common Chatbot Design Mistakes (and How to Fix Them)
Avoid the 3 most common chatbot design mistakes: assuming AI memory, bloated system messages, and missing edge-case handling. Includes fixes for each.
Context Windows in Chatbots: What Fills Up and What Gets Lost
Understand how context fills up in a chatbot conversation and why ignoring it leads to drift, inconsistency, and off-scope responses.
Prompt Techniques
Practical methods for writing better prompts. Zero-shot, few-shot, the seven-element framework, iterative refinement, A/B testing — each one explained clearly with examples you can apply right away.
Testing Your Conversational AI Flow: A Practical Checklist
Use this 7-point checklist to test your conversational AI flow for persona consistency, scope handling, and user goal completion before deploying.
Base AI Models vs. Tool-Connected AI: What Your Chatbot Can’t Do
Learn why base AI models have no memory between sessions and when a tool-connected AI system is required for your conversational design.
How to Build a Reusable Conversation Template
Build a reusable conversation template with five fields: persona, opening sequence, edge cases, reset triggers, and success criteria.
Grounding Prompts vs. Conversation Resets: When to Use Each
Compare grounding prompts and conversation resets — two tools for managing context drift. Learn when each strategy fits your conversational flow.
3 Common Chatbot Design Mistakes (and How to Fix Them)
Avoid the 3 most common chatbot design mistakes: assuming AI memory, bloated system messages, and missing edge-case handling. Includes fixes for each.
Context Windows in Chatbots: What Fills Up and What Gets Lost
Understand how context fills up in a chatbot conversation and why ignoring it leads to drift, inconsistency, and off-scope responses.
Real World Use
Prompt engineering applied to real work — content creation, business automation, professional workflows, and visual tools. The focus here is practical: what to prompt, how to structure it, and what to do when the output needs work.
Testing Your Conversational AI Flow: A Practical Checklist
Use this 7-point checklist to test your conversational AI flow for persona consistency, scope handling, and user goal completion before deploying.
Base AI Models vs. Tool-Connected AI: What Your Chatbot Can’t Do
Learn why base AI models have no memory between sessions and when a tool-connected AI system is required for your conversational design.
How to Build a Reusable Conversation Template
Build a reusable conversation template with five fields: persona, opening sequence, edge cases, reset triggers, and success criteria.
Grounding Prompts vs. Conversation Resets: When to Use Each
Compare grounding prompts and conversation resets — two tools for managing context drift. Learn when each strategy fits your conversational flow.
3 Common Chatbot Design Mistakes (and How to Fix Them)
Avoid the 3 most common chatbot design mistakes: assuming AI memory, bloated system messages, and missing edge-case handling. Includes fixes for each.
Context Windows in Chatbots: What Fills Up and What Gets Lost
Understand how context fills up in a chatbot conversation and why ignoring it leads to drift, inconsistency, and off-scope responses.