What This Is

Step 2 is where AI becomes genuinely useful in your daily work. Instead of occasional experiments, you start using it for real tasks: rewriting emails, cleaning up bullet points, summarizing documents, and drafting messages. This is the "quick wins" stage—tasks that took 15-30 minutes now take 2-3 minutes. You're not doing anything fancy, but you're consistently getting value. Most people who reach this stage never leave it, which is fine—but there's much more available.

Why It Matters

The value of Step 2 isn't just time saved—it's friction removed. That email you've been avoiding? Done in 90 seconds. Those messy meeting notes? Cleaned up before you forget them. The real shift is psychological: you stop dreading small writing tasks because they're no longer effortful. This frees mental energy for higher-value work. Step 2 also builds the habit of reaching for AI, which is the foundation for everything that comes next.

Tools

ChatGPT general rewriting and drafting | Claude longer documents and nuanced tone | Grammarly inline editing within documents | Microsoft Copilot integrated in Outlook/Word

The Prompt

Rewrite this [EMAIL/MESSAGE/TEXT] to be [TONE—e.g., more professional, friendlier, more concise]. Original: [Paste your text here] Context: [Who is the recipient? What's the relationship? e.g., "This is going to my manager" or "This is for a client I haven't met"] Goal: [What do you want the recipient to do or feel? e.g., "Approve my request" or "Feel reassured that the project is on track"] Constraints: [Optional—e.g., "Keep it under 100 words" or "Don't change the main point, just the tone"]
Quick Start → "Make this email more professional: [paste your draft]"
Why This Prompt Works
Specific Tone Request "More professional" or "friendlier" gives AI a clear target. Without this, you get generic rewrites that may not fit.
Recipient Context Knowing who will read it changes everything. An email to your CEO reads differently than one to a peer.
Defined Goal What you want to happen shapes word choice. Asking for approval needs different language than giving an update.

How To Do It

1.

Start with Your Draft

Write a rough version first—even just bullet points. AI improves existing content better than creating from nothing.

2.

Specify the Transformation

Be explicit: "Make this shorter," "Sound more confident," "Remove jargon." Vague requests get vague results.

3.

Review and Adjust

Read the output. If it's close but not right, say what to change: "Good, but make the opening less formal."

4.

Make It Yours

Edit the final version in your voice. AI gives you a strong starting point—you add the finishing touches.

Real-World Examples

Rewriting a Difficult Email

Had to decline a meeting request without damaging the relationship. Pasted my blunt draft and asked for a "polite but firm" version. Got a response that said no clearly while expressing appreciation. Sent it unchanged.

Cleaning Up Meeting Notes

Took rough bullet points from a 45-minute meeting and asked AI to "organize these into clear action items with owners." Received a formatted list I could paste directly into our project tracker.

Summarizing a Long Document

Received a 12-page report before a meeting. Asked for "a 5-bullet summary of the key findings and recommendations." Read it in 2 minutes, walked into the meeting prepared.

Pro Tips

Always provide your rough draft first. "Write an email about X" is harder for AI than "Improve this email about X."
Use tone words: professional, casual, friendly, direct, diplomatic, confident, apologetic, enthusiastic.
Ask for multiple versions: "Give me three options—one formal, one casual, one very brief."
For sensitive messages, have AI explain its choices: "Why did you phrase it that way?" This helps you learn.
Keep a "swipe file" of good outputs. When AI nails a tone, save it as a reference for future prompts.
Don't over-polish. Sometimes a slightly rough email feels more authentic than a perfectly crafted one.
Key Insight

"Step 2 is where most people stop—and that's okay, because you're already saving hours every week. But the real leverage comes when you move from using AI for tasks to using it for thinking. That's where things get interesting."

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