u/No-Regret2146

I’m building AI automation systems and I’m looking to work with a few real small or medium businesses so I can build better case studies and a stronger portfolio. I’m not trying to sell a course or make this sound like magic. Most useful automations are honestly boring: manual follow-ups, copying data between tools, report generation, lead sorting, invoice reminders, customer support replies, spreadsheet cleanup, CRM updates, etc.

Here’s what I’m offering:I’ll look at what you’re currently doing manually and point out where automation or AI could actually help.

If it’s a simple workflow, I can build it for free in exchange for an honest review or short review video.

If it needs paid APIs, software accounts, or external tools, you would cover those costs. I’m not charging for the audit or simple build itself.

If the workflow is more complex, I can still give you a free consultation and explain what could be automated, what should not be automated, and what the first version should look like.

This is mainly for small businesses that want to use AI but don’t know where to start.

If you’re comfortable sharing, comment with one repetitive task your business does every week. I’ll reply with what I’d automate first and what I’d leave manual.

I’m building AI automation systems and I’m looking to work with a few real small or medium businesses so I can build better case studies and a stronger portfolio. I’m not trying to sell a course or make this sound like magic. Most useful automations are honestly boring: manual follow-ups, copying data between tools, report generation, lead sorting, invoice reminders, customer support replies, spreadsheet cleanup, CRM updates, etc.

Here’s what I’m offering:I’ll look at what you’re currently doing manually and point out where automation or AI could actually help.

If it’s a simple workflow, I can build it for free in exchange for an honest review or short review video.

If it needs paid APIs, software accounts, or external tools, you would cover those costs. I’m not charging for the audit or simple build itself.

If the workflow is more complex, I can still give you a free consultation and explain what could be automated, what should not be automated, and what the first version should look like.

This is mainly for small businesses that want to use AI but don’t know where to start.

If you’re comfortable sharing, comment with one repetitive task your business does every week. I’ll reply with what I’d automate first and what I’d leave manual.

https://preview.redd.it/f55kb722l42h1.png?width=864&format=png&auto=webp&s=71f8aa2007c9d72d620ea2ac07584b131fd4855f

Drop a dm for the highres image....

check out the GitHub link to profile -- AxZyzz

https://preview.redd.it/guc7r9xn822h1.png?width=1024&format=png&auto=webp&s=39b48841bc5dc6396ebac94f3b05d3fd8c29877a

Do let me know if you guys need any specific niche focused ones

https://preview.redd.it/0k06v64i822h1.png?width=1024&format=png&auto=webp&s=297f7546911fafccb6facb9918665e92b709a64e

Do let me know if you guys need any niche specific ones>>

https://preview.redd.it/ymq0u89k722h1.png?width=1024&format=png&auto=webp&s=e44ef0a4b818ffba9df2f09cc40d9a67d32d0bee

Would love to help with any new updates or changes, do let me know..

Github link to profile--- AxZyzz

A client came to us with a pretty common problem:
They were an agency, but they could not afford to keep producing brand-consistent images manually for every campaign. Normal AI image generation was not enough. It could create nice images, but the style kept drifting.

One image looked premium. The next looked like a random stock photo. The next had a totally different lighting style. So we built them an n8n workflow.

At first, it was simple:

https://preview.redd.it/0k142slyxx1h1.png?width=1487&format=png&auto=webp&s=62b66d5964ec9e58fdccdd4ddb16b470ace7cffd

User gives a prompt → AI generates an image.

But that was not good enough. So we added more layers:

- brand style extraction

- reference image matching

- cinematic prompt generation

- image generation with multiple providers

- segmentation using Qwen/SAM-style masking

- foreground isolation

- Supabase storage

- quality checking against brand rules

- workflow logging

https://preview.redd.it/49w84qj7yx1h1.png?width=1080&format=png&auto=webp&s=2513a8ec5ecdf7b1f813ff971a2c9aa03add9369

Basically, it became a small AI creative production pipeline. The most useful part was segmentation. Instead of only generating a flat image, the workflow could separate foreground objects, subjects, and masks. That made it possible to reuse assets, replace backgrounds, and create more modular campaign images.

The funny part is that the client paused the project after phase 3. So instead of letting it sit unused, we’re cleaning it up and open-sourcing it. IT IS NOT PERFECT. Some prompts are too long. Some parts should probably become proper backend services instead of staying inside n8n. The workflow is powerful, but also a bit heavy. Still, I think it may be useful for people building AI image systems, especially if they care about brand consistency and not just “make me a cool picture.”

If people are interested, I can share the workflow structure and explain the segmentation part, because that was the hardest piece to get right.

https://preview.redd.it/ewvx79o8yx1h1.png?width=1080&format=png&auto=webp&s=b020af8af3761d7395d7423f83575aa70ae166d5

Here's the github link for the demo version: Github by AxZyzzz

A client came to us with a pretty common problem:
They were an agency, but they could not afford to keep producing brand-consistent images manually for every campaign. Normal AI image generation was not enough. It could create nice images, but the style kept drifting.

Processing img 76m0grxfxx1h1...

One image looked premium. The next looked like a random stock photo. The next had a totally different lighting style. So we built them an n8n workflow.

At first, it was simple:

User gives a prompt → AI generates an image.

But that was not good enough. So we added more layers:

- brand style extraction

- reference image matching

- cinematic prompt generation

- image generation with multiple providers

- segmentation using Qwen/SAM-style masking

- foreground isolation

- Supabase storage

- quality checking against brand rules

- workflow logging

Processing img erpre4xgxx1h1...

Basically, it became a small AI creative production pipeline. The most useful part was segmentation. Instead of only generating a flat image, the workflow could separate foreground objects, subjects, and masks. That made it possible to reuse assets, replace backgrounds, and create more modular campaign images.

The funny part is that the client paused the project after phase 3. So instead of letting it sit unused, we’re cleaning it up and open-sourcing it. IT IS NOT PERFECT. Some prompts are too long. Some parts should probably become proper backend services instead of staying inside n8n. The workflow is powerful, but also a bit heavy. Still, I think it may be useful for people building AI image systems, especially if they care about brand consistency and not just “make me a cool picture.”

If people are interested, I can share the workflow structure and explain the segmentation part, because that was the hardest piece to get right.

Processing img 8e9smhfhxx1h1...

Here's the github link for the demo version: Github by AxZyzzz

https://preview.redd.it/8vgy5qrzvx1h1.png?width=1487&format=png&auto=webp&s=a090ead77e4f963a97a843ff73c7a73bda8b59e8

A client came to us with a pretty common problem:
They were an agency, but they could not afford to keep producing brand-consistent images manually for every campaign. Normal AI image generation was not enough. It could create nice images, but the style kept drifting.

One image looked premium. The next looked like a random stock photo. The next had a totally different lighting style. So we built them an n8n workflow.

At first, it was simple:

https://preview.redd.it/njmb2qntwx1h1.png?width=1435&format=png&auto=webp&s=b3c2d0f03afb6a29f8d93a628c3f3e92929c6080

User gives a prompt → AI generates an image.

But that was not good enough. So we added more layers:

- brand style extraction

- reference image matching

- cinematic prompt generation

- image generation with multiple providers

- segmentation using Qwen/SAM-style masking

- foreground isolation

- Supabase storage

- quality checking against brand rules

- workflow logging

Basically, it became a small AI creative production pipeline. The most useful part was segmentation. Instead of only generating a flat image, the workflow could separate foreground objects, subjects, and masks. That made it possible to reuse assets, replace backgrounds, and create more modular campaign images.

The funny part is that the client paused the project after phase 3. So instead of letting it sit unused, we’re cleaning it up and open-sourcing it. IT IS NOT PERFECT. Some prompts are too long. Some parts should probably become proper backend services instead of staying inside n8n. The workflow is powerful, but also a bit heavy. Still, I think it may be useful for people building AI image systems, especially if they care about brand consistency and not just “make me a cool picture.”

If people are interested, I can share the workflow structure and explain the segmentation part, because that was the hardest piece to get right.

https://preview.redd.it/vdphbfv8wx1h1.png?width=1232&format=png&auto=webp&s=6d272d3f54ae7ce7eca8e5381f5a744bcc43ecc6

Here's the github link for the demo version: Github by AxZyzzz

https://reddit.com/link/1tezsw3/video/2f2j7vxv8j1h1/player

Hey everyone,

I was just crawling through my phone gallery and found this random video of a side project I made back in December. I felt kinda funny watching myself make this demo, but I decided to drop it here in case the workflow is helpful to anyone building something similar. (I might delete this soon, but wanted to share the knowledge first!)

What it is: It’s basically a Brand Style Image Generator (like a virtual photo studio). The concept is simple: if you have 15+ images of a specific aesthetic (in this demo, I used an "old money" vibe), you can use it to generate infinite images with the exact same lighting, camera angles, and brand aesthetics.

Why we built this (The Real-World Problem): I originally designed this specifically for brands that have strict brand identities and guidelines--especially for CAAS Agencies(Creative as a Service) and Brands that need to constantly pump out social media content. Maintaining visual consistency with standard AI image generators is a huge pain because it requires incredibly long, detailed prompting every single time. With this system, we solved that. Because the brand's guidelines and visual aesthetics are already baked into the workflow, you can ditch the complex prompting and generate perfectly consistent, on-brand images with just a simple one-word or one-sentence prompt.

How this V1 worked:

• Storage: Images pull from Google Drive.
• Extraction: It runs a workflow to extract the style (lighting, aesthetic motif) and objects (what’s in the frame, how many people), separating the two.
• Database: All this metadata is stored in Supabase.
• Generation: When a user enters a prompt (e.g., "a young dad smiling"), it fetches the closest base image via object recognition, applies the extracted style parameters, and uses an Alpha Prompt Generator to spit out the final image. Honestly, the heavy lifting here was mostly just prompt engineering.

The Reality: This video shows the very first architecture we built. It was a simple, small setup. Since this December video, we have completely scrapped and changed the entire architecture. We tried a lot, failed a lot, and eventually built a much more robust system.

If anyone is interested in how I built this initial setup, let me know and I can share the initial architecture/workflow in the comments below.

Drop your insights, ask questions, or feel free to completely criticize and roast my V1 architecture! Would love to hear your thoughts.

The Git Contains all the workflow you need:-Workflows

The Workflow shown in the video is easy to make. If you guys need that link also, I will drop it in the comments. Do let me know