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PromptSharp

Issue #009 · Sat, Jul 4, 2026
Sharpen how you instruct AI — from your first prompt to full agents.
⚡ What's new this week
Today's technique still applies — here's the latest to apply it to.
Decomposition: break the big ask into a pipeline
What you'll learn
Decompose big asks into a staged pipeline — quality compounds when you can fix each handoff.
A giant one-shot prompt is where quality goes to die. Split the task, chain the steps.
▸ See it in action — copy-paste this
We're going to write this in stages. Do ONLY stage 1 now and stop.

GOAL: A 700-word explainer on 'what is an API' for non-technical founders.

STAGE 1 — OUTLINE ONLY:
Produce a 5-section outline. For each section: a heading + one sentence on what it covers + the single analogy you'll use.
Do not write the article yet. Wait for me to approve the outline.

(After I approve, I'll say 'Stage 2: draft section 1' and so on.)
📋 Copy this prompt →
Opens a 1-click copy page
▸ Why it works
When you ask for everything at once — research, outline, draft, edit, format — the model does all of it mediocrely, because attention is spread thin. Better: decompose into stages and run them in sequence, feeding each stage's output into the next. This mirrors how a person works (outline → draft → edit) and lets you inspect and fix quality at each handoff instead of re-rolling a 2,000-word blob.
▸ Level it up
New to this: Don't ask for the whole thing at once. Ask for the outline first, approve it, then ask for each part. Smaller asks = better answers.
Vibe coder: Make the model stop after each stage so you can steer. Fixing the outline costs one line; fixing a finished 2,000-word draft costs a re-roll.
Advanced: Turn the stages into an actual pipeline: separate prompts (or agent steps) where stage N's output is stage N+1's input. Add a validation/critique step between stages so errors don't compound downstream.
▶️ Pro audio
Narrated audio is rolling out
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PromptSharp · works with any AI model (ChatGPT, Claude, Gemini).
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