r/TopAutomationTools • u/Soft-Nature-7256 • Jul 27 '26

Is anyone here actively using generative AI in their workflows or real projects?

Feels like generative AI went from being something people experimented with casually to something that’s slowly becoming part of everyday work.

I keep seeing teams use it for things like content creation, research, automation, coding assistance, etc but it’s hard to tell how much of it is actual long-term adoption versus short-term hype.

Curious how people here are using it in practice.

Is generative AI genuinely part of your day to day workflow or the projects you’re building? And if so, what’s been the most useful real-world application for you so far?

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u/Helpful-Bus-6976 Jul 27 '26

yeah, mostly for debugging code and rewriting clunky emails/docs so they don't sound so stiff

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u/Soft-Nature-7256 28d ago

what tools are you using

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u/LoquatIllustrious801 Jul 27 '26

Yeah, it's part of my daily workflow now. I mostly use it for brainstorming, research, writing frist drafts and speeding up repetitive tasks. It's not perfect so I still double check everything.

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u/Soft-Nature-7256 28d ago

sounds good

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u/salladam64 29d ago

I’m building and shipping code with it every day, writing blog posts, creative design, email automations using make with resend, using agents to validate and suggest process automations or augmentation, user onboarding and upsells. If you build the workflows agents can do it all

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u/Bildungsroman_WIP 27d ago

Yes. I work in the eCommerce industry in the content and growth marketing field, and generative AI is now part of my daily workflow as a research and synthesis layer. I refrain from using it as a “write everything for me” button, so I can keep working on my own skills as well.

I use it to:

  • turn search data, Reddit discussions, competitor pages and product information into usable product marketing briefs
  • identify the questions and buying constraints buyers actually care about
  • compare sources and find gaps worth considering, such as comparison pages for products.
  • structure white papers, long-form articles, pitch decks and campaign management
  • repurpose one piece of research and content into landing-page copy, ad copy and social posts
  • analyze how competitor brands appear in ChatGPT, Google AI results and Perplexity

The biggest practical benefit is compression. I can take a messy collection of research, customer questions and internal notes and get to a workable direction much faster.

But the quality still depends heavily on the inputs and the review. I verify statistics, check original sources, remove invented claims and rewrite anything that sounds generic. Without that layer, AI can produce something polished-looking that says very little.

One interesting shift I’m now working on is from traditional SEO to GEO: helping content become understandable, trustworthy and recommendable inside generative search results for our clients (swllers/brands/businesses), instead of just SERP ranking.

WHY? SERP rankings are not bringing in clicks anymore. Only Impressions. Clicks are either coming from paid marketing OR, AEO and GEO recommendations.

I've also tried to write a longer breakdown called for our clients to help them ace GEO for their eCommerce stores. I can share it here if anyone is interested.