📚Long-form ProjectsLesson 5 of 5

Publishing Preparation

8 min

expert

Getting your manuscript ready for publishing—whether traditional or self-publishing—involves tasks where AI can help. But publishing preparation also has tasks where AI should stay away. Here's the distinction.

Key Concepts

1
AI-appropriate: formatting, metadata, query letter drafts, blurbs
2
AI-cautious: final proofreading, synopsis
3
AI-avoid: critical cover copy, personal author statements
4
Know publishing format requirements
5
AI can help with marketing material but shouldn't write it entirely

Examples

Prompt / Technique

Query letter help: 'Here's my story premise. Help me draft a query letter hook—the first paragraph that makes agents want to read more.'

Result / Insight

AI can help with marketing language iteration

Prompt / Technique

Blurb iteration: 'Generate 5 different back-cover blurb approaches for my novel. I'll pick elements to combine.'

Result / Insight

AI provides variation; you craft final version

Try It Yourself

Write the marketing copy for your project—query hook, back cover blurb, comp titles. Use AI to generate alternatives, then craft your final versions.

Pro Tips

Publishing professionals can detect AI-written queries

Your voice should come through in marketing materials

Use AI for brainstorming, not final copy

Know the difference between formatting for agents vs. publishers vs. self-pub

Summary

AI can assist with publishing preparation, but your voice and judgment should drive marketing materials and final decisions.

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