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AI Marketing Insiders

230 members • Free

109 contributions to AI Marketing Insiders
Thanks for letting me join!
Hey, I'm Antonio, based in Helsinki. I run Google Ads campaigns and do SEO work, plus trying to get two businesses off the ground (agency + travel company). The travel one is basically me being stubborn about a market I know well. AI tools have become my unfair advantage for research, ad testing, content workflows, basically anything repetitive. Though half the time I'm still figuring out if I'm using them right. Excited to learn from what everyone's actually doing here, not just what sounds good on paper. I'll try to join Ryan's meetups when the timezone works out... Thanks for having me. Antonio
1 like • 5h
@Antonio Ruiz Welcome, I love how we have people from all over the world here! I travel via Google Earth, Google/Apple Maps šŸ™ƒ I am off to visit Helsinki..... You know the ā€œfiguring it outā€ bit? I think that’s exactly where we all are, and where we’ll be for a while, maybe forever. It’s just too dynamic and constantly changing. But honestly, the figuring it out part is the most fun. It feels like one big playground. I’m not using loads of tools either, just the ones that matter and actually get me where I want to be, which feels good. It feels like I’m back at the start again. 1989, typesetting, wrestling with giant machines, then Aldus PageMaker arrived and rewrote the rules.
Gemini and NotebookLM Integration
After the last online meetup, I was trying to track down where I’d read about Gemini integrating with NotebookLM. This looks to be the piece I had in mind:https://www.androidcentral.com/apps-software/googles-gemini-now-integrates-seamlessly-with-notebooklm-for-improved-project-management I’ve not tried it myself yet, so I can’t speak to real-world use cases or where it saves time. If you test it, let us know what you used it for and what worked (or didn’t).
Gemini and NotebookLM Integration
We Lost a Good One Last Night šŸ’” 🐶
Hey guys - First of all I apologize for anyone who was planning on attending the New Member Onboarding Call today. I had to cancel due to a chaotic week of a family death on Friday and unexpectedly putting our dog down last night šŸ’” I appreciate all of you for understanding and 2026 will be a great year for this community! I have a lot of good things planned. I hope you all have a great Christmas/Holiday Season with your families ā¤ļø
We Lost a Good One Last Night šŸ’” 🐶
1 like • 9h
Ryan, I’m sorry for your losses. Please don’t worry about the onboarding call, people will understand. I’m attaching a photo of my budgie, Bruce, for a bit of gentle moral support. Take the time you need.
GPT-5.2 Prompting Guide - dug out of my bookmarks
I was just sorting out some of my bookmarks/favourites and came across this link I had saved a while ago. It's obviously been updated for 5.2, and if you've not already seen it, it's worth a read. https://cookbook.openai.com/examples/gpt-5/gpt-5-2_prompting_guide. I've yet to look up guides for others like Gemini, Claude etc. What AI had to say about this guide 'This guide introduces GPT-5.2, OpenAI’s advanced model for enterprise and agent workflows. It improves accuracy, instruction-following, concise formatting, and structured reasoning over previous versions, making it ideal for complex tasks like coding, document analysis, finance, and multi-tool operations. The guide offers best practices for writing effective prompts: set clear output length and content limits, prevent scope drift, handle long documents by summarizing, address ambiguity by clarifying or listing interpretations, and always ground answers in provided or cited sources. It also covers techniques for context compaction, agent updates, tool usage, structured data extraction, prompt migration, and in-depth web research—optimizing GPT-5.2 for reliability, consistency, and high-quality results in production settings.' There is also the link to the Prompt Optimiser that's been around for a while too. AI summarised this about it 'The Prompt Optimizer referenced in the GPT-5.2 Prompting Guide is a tool built into the OpenAI Playground. It’s specifically designed to help users improve existing prompts and facilitate migration across OpenAI models, including from GPT-5 and earlier versions to GPT-5.2.' Hope it's helpful for those who have not yet come across it.
Using multiple prompts/GPT's to refine a final video script
Whats up everyone, quick question. I am getting so much better with script writing using AI. One of the things that I have done is create multiple GPT's that focus on different things. For example, the first one makes the entire script - its purely creative and broad. I copy all the chapters onto a google doc once I have an entire script. Then re paste that script into another GPT that focuses on adding curiosity loops, etc.. all the things we would do to make it engaging content. It rewrites it with those things in mind. Then, finally.. I put the entire script through one last GPT that makes it sound more human. So it again, updates the script a little bit to add a human touch and remove parts that sound robotic. I am wondering if I am over engineering this. The workflow is being done by a staff member so it also is a great way to outsource the work and know that even a non english person V.A can create an amazing output since the GPT's are doing all the heavy lifting. Has anyone done this before? AS in, use multiple prompts or GPT"S for the same long form content to refine it and make it better? Just curious... I kinda just discovered this workflow as I was interacting with a GPT asking it questions about improving output.
2 likes • 3d
@Mukul Singh I don’t think you’re wrong, but I do think you might be making it harder than it needs to be. What you’re describing feels like a fairly normal draft → edit → polish process, just formalised across different GPTs. That makes sense if you’re outsourcing or trying to remove judgement from the workflow. For me, I tend to get to a similar place with fewer steps by iterating in one space. I’ll let the first draft be rough, then react to it and tighten specific bits rather than running full rewrites. It’s cognitively lighter and keeps the voice from getting overly smoothed. So I wouldn’t say it’s over-engineering in general, but it does feel optimised for control and repeatability rather than iteration. Depends what you’re trying to optimise for. This is where I always come back to what works for us and our context/situation and that's where this is really interesting. It's also why our own experimentation matters, because we will come across methods that suit us better. A while ago I tried some ideas posted online, but they just weren't right for me. I don't regret trying them though, because it led me to understand where I needed to go for the work I do.
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Catherine Eadie
5
256points to level up
@catherine-eadie-9569
Passionate about human-first marketing, ethical AI, and making a real difference. Always learning, always sharing.

Active 4h ago
Joined Jul 27, 2025
Edinburgh
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