AI Compass
Compass

Why a prompt fails

The seven causes prompts actually fail on, how to tell them apart, and what to change for each.

·2 min read·By Redaktion KI-Kompass
DETAIL
4 sections

The seven causes

CauseHow you recognise it
The task is unclearThe result is generic and arbitrary
The context is missingThe result does not fit the situation
The format was not statedContent is right, form is unusable
Instructions contradict each otherPart is followed, part is not
The information is not in the materialIt gets invented instead of refused
The task is too largeThe start is right, the end falls apart
It is the wrong kind of taskArithmetic, counting, current facts

What to change per cause

CauseThe change
Task unclearDescribe the result, not the activity: "a table with four columns" rather than "summarise"
Context missingWho reads it, what for, what happened before
Format not statedGive the format, and an example of the wanted output if needed
ContradictionCut the prompt until only one instruction per aspect remains
Information missingAdd the rule: "If it is not in the text, write: not present"
Task too largeBreak it into steps, one call per step
Wrong kind of taskChange tools: let something that computes do the computing

Diagnosis in three steps

  1. 01

    Same instruction, different material

    If it succeeds there, it is the material and not the prompt.

  2. 02

    Shorter prompt, same material

    If it improves, the prompt was overloaded or contradictory.

  3. 03

    One example of the wanted output

    If that fixes it, it was a format problem and not a comprehension problem.

Why the middle gets lost

Models attend to the beginning and the end of a long input more reliably than to the middle. In long prompts with many instructions, the criterion sitting in the middle is precisely the one that drops out.

  • What matters most at the start, the format requirement at the end.
  • Instructions as a short list rather than as prose.
  • Separate material and instruction visibly, with a marker that does not occur in the text.
  • Beyond five instructions, check whether two calls beat one.

See Context windows in depth.

The contradiction you cannot see yourself

"Summarise briefly" and "name every point" are incompatible. So are "factual" and "promotional". The model then follows one of the two, and which one changes between calls.

  • Exactly one instruction per aspect: one for length, one for tone, one for format.
  • Where there is a genuine conflict, resolve it explicitly: "If length and completeness collide, completeness wins."
  • Examples beat adjectives. One example of the wanted tone works better than three descriptive words.

When it is the model

Only once task, context, format and material have been checked is the model the suspect. Then what helps is:

CaseMeasure
Multi-step reasoning failsA model with reasoning steps, see Reasoning models
Numbers and units wrongHand the arithmetic to a tool
Domain terms missedA glossary in the prompt, or retrieval over your own sources
Output varies widelyLower the temperature, see Sampling and temperature
Format not respectedEnforce a schema rather than asking for one

The diagnosis sheet

FREE ACCOUNT

Diagnosis sheet for a failed prompt

A sheet that narrows the cause down in four steps before you change the wrong end.

Worksheet2 items

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Why a prompt fails