Prompt Sharpener — OutClaw AI

Your prompt 0 chars

Target model: Goal:

✏️

Your sharpened prompt will appear here

Claude is sharpening your prompt…

Sharpened prompt

Why prompts fail

The most common prompt mistakes

🌫️

Too vague on output

Not specifying format, length, or tone means the AI guesses — and usually wrong. Always define what you want back.

🎭

Missing role context

"Write a blog post" is weaker than "You are a B2B SaaS content writer writing for CTOs." Context controls voice.

🔚

No instruction for edge cases

The AI doesn't know what to do with unclear inputs unless you tell it. "If unsure, ask" or "default to X" prevents drift.

📚

Context dumping

Pasting 3 paragraphs of background before the actual ask buries the instruction. Lead with the request, follow with context.

🎯

No examples given

One-shot examples dramatically improve output quality. Even "write something like this:" with a short example helps enormously.

🔄

Vague audience

"For my customers" vs "For growth-stage SaaS founders who already know what an API is" — specificity changes everything.

Real examples

Before & after sharpening

Example 1 — Blog post prompt

❌ Before

Write a blog post about AI tools for small businesses.

✓ After sharpening

You are an experienced B2B content writer. Write a 700-word blog post for small business owners (5–20 employees, non-technical) exploring 3 AI tools that save time on admin work. Use a practical, friendly tone — no jargon. Structure: intro hook, 3 tool sections with name/use case/time saved estimate, and a CTA to try one this week. Avoid using the word "leverage."

Example 2 — Email prompt

❌ Before

Write a cold email to get a meeting.

✓ After sharpening

You are a B2B sales expert. Write a cold email (max 100 words) to a VP of Marketing at a mid-size e-commerce company. Offer: a 20-min audit of their email automation. Goal: book a Calendly call. Tone: direct, confident, no fluff. Do NOT use: "hope this finds you well," "reaching out," or "synergy." Include one specific, relevant pain point in the opening line.

Example 3 — Data analysis prompt

❌ Before

Analyze this data and tell me what's interesting.

✓ After sharpening

Analyze the following CSV data as a business analyst. Identify the top 3 trends, any anomalies or outliers worth flagging, and 2 actionable recommendations. Format your response as: Trend summary (2–3 sentences), Anomalies (bullet list), Recommendations (numbered). Assume the audience is a non-technical CEO who will use this in a board meeting.

Paste a prompt. Get a sharper one back.