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I created this spec editing and proofreading project to demonstrate how I approach improving clarity, grammar, structure, tone, and readability while preserving the original voice. The project shows the progression from an unedited draft to a polished final version, along with the reasoning behind key editorial changes.
This project showcases my skills in proofreading, copy editing, line editing, and content refinement.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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Confession: I asked ChatGPT to write my LinkedIn post.
As a copywriter with an eight years of experience, that sentence feels mildly illegal.
(Please don't revoke my copywriter license just yet.)
So I recorded the entire process to see if a real conversation could get me to a better idea faster.
Spoiler: It took under 10 minutes to prep one post. And the first draft wasn't the winner. The back-and-forth was.
I used GPTVoice to brainstorm ideas, challenge the direction, decided how to make a post that's ToF , and kept pushing until it actually felt like something I'd publish.
Recorded the whole messy behind the scenes if you're curious how it went:)
Is there a copyrighter license?
No judgment by the way :)
Another successful knowledge management migration completed.
This project involved migrating approximately 200 pages across 48 Quip files into Notion before Quip's sunset. Since there isn't a reliable way to automate the migration, I manually exported and rebuilt the content while preserving structure, formatting, and hierarchy.
To make the workspace more valuable than the original, I used Notion AI to organize information, extract action items, clean up documentation, and transform scattered notes into a searchable, future-ready knowledge base.
A smooth migration with zero compromise on content quality and a much better workspace for the team going forward.
Impressive migration; preserving 200 pages while improving structure and searchability is a huge win for the team.
Prerender Buddy has been completely overhauled
The whole project has changed significantly since I first shared it here.
What started as a prerendering service for JavaScript websites has grown into a complete crawler visibility toolkit. The platform now includes managed prerendering, crawler diagnostics, raw vs rendered HTML comparisons, bulk website checking, a Chrome extension, macOS app, developer API, CLI and MCP tools.
I have also rebuilt large parts of the dashboard, rendering infrastructure and website setup process. The next step is releasing the self-hosted rendering engine and integrations for developer tools.
The goal remains simple: help website owners see what search engines and AI crawlers actually receive, and fix it when they receive almost nothing.
Curious what crawlers actually see on your website? You can check it for free at https://prerenderbuddy.com
Impressive evolution! How are users finding the new bulk website checking feature?