How AI Can Improve Content Quality And Consistency

Stanley Made My LinkedIn Posts Take 3X Longer (And That's Actually Good!) A week ago, I became the first customer of Stanley, the new AI creative companion for LinkedIn by Vitalii Dodonov and John Hu (thanks guys!!) I thought AI might save me time on LinkedIn posts. But now I spend MORE time on them than ever Here's why that's the best thing that happened to my content... Before AI: 20 minutes to write a mediocre post After AI: 60 minutes crafting something I'm actually proud of (And performs much better! My first post with Stanley got 15,000 views) The difference? AI didn't replace my thinking - it amplified it. Here's what nobody tells you about AI for content: ✅ You'll generate 10X more ideas (and spend time choosing the best) ✅ You'll explore angles you never considered (and rabbit hole on research)   ✅ You'll polish every sentence (because now you have no excuse not to) I used to write one draft and hit publish. Now? I'm iterating like a software developer: Version 1: AI helps brainstorm Version 2: We refine the hook together Version 3: I add my personal stories Version 4: AI suggests structural improvements Version 5: I polish until it sings The paradox: AI gives you superpowers, but with great power comes... way more time perfecting your craft. Overall, my engagement is up 3X and I’ve really enjoyed having more, better conversations in the comments. Turns out, when you use AI as a creative partner instead of a shortcut, you don't save time. You invest it. You stop settling for "good enough" and start chasing "what's the best I can really do here?" So Stanley taught me this: the future isn't about AI making content creation faster. It's about AI making creators better. And that takes time. Beautiful, productive, game-changing time. Who else is spending MORE time on content since AI came along? 👇 - Rob (w/ Stanley) P.S. ♻️ Sharing is caring :)

Stop asking AI tools like ChatGPT, Gemini, or Claude to edit and rewrite your marketing copy, emails, or other assets. Instead, use them as collaborative partners to help you improve the quality of your work. Here's how 👇 Ask your AI tool to review your work as the editor you want it to be. Are you looking for copy edits for grammar? Changes to stay on brand? Adaptation for a specific vertical? The perspective of your target persona? Give it specific guidance and the skills to be that exact editor. Then provide all of the appropriate context needed to do a great job. Share your goals, audience, brand guidelines, purpose, and/or whatever else a human would need to know to do a good job on the edits. Now comes the magic - request the AI review your copy for suggested changes. Ask it to give you three things for every edit it suggests:   - The original copy you wrote.   - Its suggested revisions. - The reasoning behind each change it suggested. This method works so much better than just asking the AI to re-write your copy and make it better because when you edit using my before/after/why framework you'll get... 1️⃣. Higher-quality edits When the AI is required to explain its suggestions, it avoids making changes just for the sake of making changes. This leads to more thoughtful, meaningful, high-quality improvements. 2️⃣. YOU stay connected Applying the AI’s suggestions yourself keeps you actively involved. You won’t accidentally become complacent (it's so easy with AI!) and blindly accept poor edits that degrade rather than enhance the quality of work. 3️⃣. Critical thinking helps a lot Understanding the reasoning behind a suggestion helps you decide if you agree with the logic. Even if you don’t love the execution, you can adopt the thinking behind the suggestion and adjust the execution to fit your voice and goals. 4️⃣ . The AI may catch edits you might overlook AI can flag things you didn’t notice, giving you the chance to refine them in your own way. This approach works especially well with tools like Gemini in Google Docs, Copilot in Word, or ChatGPT and Claude in a chatbot environment. While it might take a little longer to apply the suggestions, the payoff in quality is well worth it. You'll get higher-quality results and a deeper understanding of your own work. We talk a lot about AI efficiency gains, but AI isn’t just about saving time. One of the biggest reasons to build AI skills is because it improves the quality - not just the speed - of work. In fact, CMOs whose marketing teams I've trained with AI skills over the last 2 years frequently tell me post-training that they can really see who is actively using AI because of the dramatic increase in the quality of their work (and how much better it is than other people's now)! So if you've been asking ChatGPT to re-write your copy for you, try this method with your next project instead, and see how much better it is!

We’re looking to scale out our webinar program this year. It’s been a really good source of high-quality leads for us. The problem is I used to spend way too many hours building out webinar registration pages, promo emails, and social posts. We’re a lean team and I only have so much bandwidth—so I built an AI workflow that cuts production time by about 90%. IMPORTANT NOTE: The key to this whole thing is the quality of your human-written content brief—it determines everything downstream. Most people try to shortcut the brief and end up with generic, junky AI content. Here's what actually works: 1. Start with a killer content brief that includes: - Core webinar value props and specific audience pain points - Speaker credentials that actually matter - Key learning outcomes with concrete examples - Technical depth and complexity level - Brand voice requirements and list of AI “no-no” words 2. Feed that quality brief into strategic prompts for: - High-converting registration page - 4-email promo sequence (2 weeks, 1 week, 3 days, 24hrs) - Post-event follow up emails for attendees, registrants, and non-registrants - LinkedIn posts engineered for engagement - Asset consistency guidelines AI handles content scaling and variations, but only after you've built the strategic foundation. Been testing this for months—the correlation between brief quality and output is nearly 1:1. Rushed brief = generic AI content. Detailed brief = compelling assets that drive registrations. The workflow includes specific prompts for maintaining voice consistency, building credibility through concrete benefits, and avoiding the typical AI content red flags that kill engagement. 🔗 Want the exact process? Grab the complete workflow with brief templates, prompts, and implementation steps in the comments below. [No need to comment “workflow” for the asset. That’s lame.) Running webinar campaigns with AI right now? Drop your questions below. Always testing new approaches to refine this process. P.S: Track your brief quality scores against registration rates. The data will show you exactly where your brief needs more detail. #AI #Marketing