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PromptSharp

Issue #003 · Fri, Jun 26, 2026
Sharpen how you instruct AI — from your first prompt to full agents.
Output format control: stop parsing prose, demand structure
If you ever copy-paste an AI answer into a spreadsheet or your code, you're doing it wrong — make it emit structure.
An AI that returns a friendly paragraph is unusable by software. The fix is to specify the exact output shape: a JSON object with named fields, or a markdown table with fixed columns. Two rules make this reliable: (1) show the literal schema, and (2) add 'Return ONLY the JSON, no markdown fences, no commentary.' Models love to wrap JSON in chatter — explicitly forbid it. For data tasks this turns the model into an API you can pipe into anything.
▸ Copy-paste prompt
Extract structured data from the text below.

Return ONLY a JSON object matching this schema exactly — no markdown fences, no explanation:
{
  "company": string,
  "funding_round": string | null,
  "amount_usd": number | null,
  "investors": string[],
  "date": "YYYY-MM-DD" | null
}

If a field is unknown, use null. Do not invent values.

Text:
"""
[paste article or paragraph]
"""
▸ Level it up
New to this: Tell the AI 'give me a table with these columns: X, Y, Z' or 'reply as JSON'. Structured output is copy-paste ready into Sheets or code.
Vibe coder: Paste the literal schema and add 'Return ONLY the JSON, no fences, no commentary.' Use null for unknowns so you never get a hallucinated value.
Advanced: Use native structured-output / JSON-mode / tool-schema features when the model offers them (constrained decoding) instead of trusting the prompt alone. Validate against your schema on receipt and auto-retry with the validation error appended.
Today's takeaway: If software will read it, demand JSON — and forbid the friendly wrapper.
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