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What used to include just your laptop screen and its keypad with an MS Word draft open has now transformed into multiple screens, .md files, and workflow triggers. However, some key decisions are still for the human brain to make:
1. Comparison between the effort required to do something manually and fixing an output generated by AI. If an agent you have designed to capture screenshots takes one in the time you would take 10 manually, why use the agent?
2. Is building something from scratch better-suited with prompting or writing it yourself and then feed it to an .md context file? The latter does not only train better, but also acts as a quality assurance check on your own work.
3. Minor scope changes are flagged by AI agents on JIRA and new stories are created. The same cannot be replicated while writing release notes. Sometimes, 3 changes impacting the same workflow are presented as 3 separate stories. You do that in release notes, and it loses meaning while deteriorating readability.
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Is AI finally good enough to shoot a product demo on its own, or human touch is still needed?
I generated a 20s product demo with Seedance 2.5 in a single take providing it with one product image reference and an example video transcript (posted in the comments). Do you disclose to a client how much AI is involved, or just let the result speak for itself?
Is AI finally good enough to shoot a product demo on its own, or human touch is still needed?
I generated a 20s product demo with Seedance 2.5 in a single take providing it with one product image reference and an example video transcript (posted in the comments).
Do you disclose...
UGC ads usually mean finding a creator, sending a brief, waiting a week, then paying per video. I wanted to see how much of that an n8n workflow could handle.
The video in this post was not filmed. It was generated end to end by a workflow I built.
How it works:
I drop in a product, a short brief and a target audience
An LLM writes the UGC-style script with a hook, the body and a call to action
Veo generates the video in a natural, creator-style look
The workflow publishes it to TikTok, Reels and Shorts [and schedules it for the best time]
So the whole path from brief to published video runs without me touching an editor.
What I learned:
The prompt matters more than the model. Specific lighting, camera and tone details made the difference between “obvious AI” and “believable creator”.
Hooks decide everything. I generate several hooks per product and test them.
Always label AI-generated content where the platform requires it. It’s the right thing to do and it avoids trouble later.
If you run a brand, an e-commerce store or an agency and want a steady stream of short-form content without the cost of manual production, I build these workflows. Message me and I’ll show you how it would work for your product.
Would you trust an AI-generated UGC ad for your brand? Curious where people stand on this.
#n8n #Veo #AIVideo #UGC #AIAutomation #ContentCreation #ShortFormVideo #Ecommerce #MarketingAutomation #GenerativeAI #NoCode #SocialMediaMarketing
Elegant
Designed a modern AI Research Agent SaaS Web App.
A clean white workspace with soft gray panels, simple icons, and calm blue accents for a focused and professional first impression.
A chat thread where the agent shows its plan step by step, live progress for parallel tasks, and a smart sheet that fills itself row by row with cited sources make complex research feel clear and trustworthy. A simple sidebar, credits tracker, and familiar table tools keep the whole app easy to use.
Great work!