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Better content faster from @TheWriteCure

USA
Joined June 2016
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AI Content QA retweeted
Identification turns writing into a mirror. The more reflective, the better. When did you last read something that felt like it was written for you?
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AI Content QA retweeted
AI drafts read well. That’s the trap. Four mistakes hide behind smooth sentences: 1. Confident facts that are wrong 2. Stats and quotes that were never real 3. Copy any competitor could say 4. Instructions that fail when followed (Examples are illustrative.)
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AI Content QA retweeted
For startup content stuck between the promise of AI-assisted development and its outcomes—that’s almost there but not quite yet ready to publish, and accumulating fast—ask a human editor take a look: writecure.com/connect
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AI Content QA retweeted
If your plan to not “sound like AI” is banning em dashes, you have bigger problems. What actually matters when reviewing AI content 👇
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AI Content QA retweeted
I've spent years describing other people's writing. Never had mine described back. So I gave Claude five of my B2B tech articles anonymously and asked it to profile the author. Its verdict: "precise and practical." linkedin.com/pulse/hey-claud…
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Reviewing an AI draft? Facts first. Claims second. Voice last. Polish makes errors harder to see, so don't start there.
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Words that should make you ask "what's the proof?" best, only, always, never, guaranteed, 100% Keep one only if you can back it up.
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A line worth adding to every content prompt: "Use only the facts below. If something is missing, write [NEEDS SOURCE] instead of guessing." Then paste your real facts. 30 free prompts built this way: writecure.com/business-writi…
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Don't ask the AI to verify its own draft. Check numbers, names, and quotes against a real source: your product docs, your pricing page, your release notes.
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Five places AI mistakes hide: Numbers Names Absolutes (always, only, guaranteed) Instructions (button names, step order) Openings and closings Check those first. Free 10-minute checklist: writecure.com/ai-content-rev…
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AI draft: "Start free with unlimited users, and get 24/7 support." Fact sheet: free plan = 3 users. Support = email, weekdays. Reads smoothly. Wrong twice. (Made-up example.) Smooth isn't true. Check the facts before the style.
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Learn how to use PostgreSQL EXPLAIN ANALYZE to distinguish planning time from execution time and fix partition, memory, statistics, and caching bottlenecks. #postgresqlplancaching #postgresqlwork_mem...Show more
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Data integrity is essential, but it can come with unexpected performance costs. Learn with @TimescaleDB how PostgreSQL constraints affect application speed and what engineering teams should consider when optimizing for both reliability and scale: hackernoon.com/the-hidden-co…
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Slow Postgres dashboards may not be caused by your fact table. Learn how stale metadata statistics break joins and fix it in minutes. #postgresstalestatistics #postgresjoinperformance...Show more
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