0Pricing
AI Prompt Engineering · Lesson

Missing Context Errors

Prompts that assume knowledge the model doesn't have.

The Context Gap

AI models know a great deal from their training data — but they know nothing about your specific situation unless you tell them. Prompts that assume knowledge the model does not have produce responses that are generically correct but situationally useless.

"Fix the bug." — What bug? In what code? What does it currently do? What should it do instead?

The model will invent an answer rather than tell you it has insufficient information. That invented answer is almost never what you need.

What Context the Model Does Not Have

Unless you provide it, the model does not know:

  • Your specific code, project, or document
  • Your company, product, brand, or customers
  • The conversation you had in a previous session (each conversation starts fresh)
  • What you tried before and why it failed
  • Your personal preferences, style, or standards
  • The background of your audience
  • The constraints of your environment (tech stack, budget, deadline)

Everything the model knows about your task must come from the current conversation.

All lessons in this course

  1. Overly Vague Instructions
  2. Contradictory Requirements
  3. Missing Context Errors
  4. Diagnosing and Fixing Bad Prompts
← Back to AI Prompt Engineering