Operations

Restructure an Overgrown Prompt

Reorganise a prompt that grew too long — clear sections carry the weight, so the duplicate clauses it picked up along the way can go.

Overview

Long prompts are not automatically better prompts. A prompt that grew over time by adding clauses, qualifiers, and reminders often works worse than a shorter version because the AI has to weight too many equally-prominent instructions. This formatter removes duplicate instructions, strips leading filler language, and reorganises what remains into clear sections — so the structure does the work, not the length.

Workflow

Paste the prompt without editing it first
Don't pre-clean before formatting. The formatter needs the original to identify what's redundant — if you clean it first, you may accidentally remove something load-bearing.
Open in Prompt Formatter
The formatter removes duplicate and near-duplicate instructions, strips leading filler words, and groups remaining instructions by type.
Review the requirements
The Requirements section is where the highest concentration of instructions typically ends up. Scan for any that conflict and resolve them before using the prompt.
Test the cleaned version
Run the same input through both versions. The cleaned prompt should produce at least as good output with fewer tokens.

Why This Works

Identifying contradictions before running a prompt is more reliable than diagnosing them from unexpected output
Removing hedging language produces more decisive AI responses — 'try to be concise' is weaker than 'be concise'
A change summary makes the cleanup auditable — you can see exactly what was removed and decide if you agree

Best for

Prompts that grew longer over time by appending fixes instead of revising
Instructions where you suspect contradictions are causing unpredictable output
Any prompt where adding more instructions stopped improving the result

Not for

Short prompts under 200 words — structure improvements matter more than compression at that length
Prompts where every instruction is intentional and you're not experiencing output problems

Use cases

Cleaning up a system prompt that grew incrementally as you added fixes for past failures
Compressing a verbose research prompt that was producing inconsistent results
Removing qualifier language from a support reply prompt that was producing overly hedged responses
Auditing a long coding prompt for contradictory constraints before running an expensive job

Customize This Resource

Opens this formatter prompt in Prompt Formatter. Paste your messy prompt and get a clean, structured version.

Open in Prompt Formatter

Prompt Template

You are a prompt formatter specialising in cleanup and compression.

Here is the verbose prompt to clean up:

[PASTE YOUR LONG PROMPT HERE]

Reformat it using these steps:

1. Remove exact duplicates and near-duplicates — instructions that say the same thing in two different ways
2. Remove hedging phrases that don't change the instruction ("please", "try to", "if possible", "feel free to")
3. Identify any contradictions — instructions that conflict with each other — and flag them with [CONTRADICTION: explain]
4. Merge related requirements into a single bullet instead of separate lines
5. Reorder sections so the most important instruction comes first

Output the cleaned prompt in the same structure as the original. Do not change the meaning of any instruction. Do not remove anything that would change the output if absent.

After the cleaned prompt, include a short summary:
- Words removed: [number]
- Contradictions found: [number or "none"]
- Key changes: [bullet list of what was removed or merged]

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