Hi guys, inside Higgsfield is there any tool and prompt you guys utulize to create realistic images based on previous images? For example, we have some UGC Image Ads, which are real people that perform insanely good. However, we would like to test multiple people (AI creators) without paying $300 per badge per person, and with my lack of knowledge of AI and prompting I feel like mine are visible AI, not to a boomer, but to the younger generation. And same scenario like backgrounds. Does anybody have any good tips, best tools for this and things that needs to be inside the prompt?

Hi guys, I'll keep this ultra short. We are looking for someone who can come in and build with us long-term. We have 5 projects ready to go right now and more coming after that. This is not a one-time gig. I have solely run out of time and cannot do this on my own anymore. If you're interested, send me a DM and explain in 3 sentences your most comphrensive build. This project is more advanced, FYI.

Hello everyone, have a good and productive day! 👍👍😎💪💪💻🗒️😎😎💪💪

Hey guys! I'm trying to benchmark my pricing for AI consulting and it feels like everyone does it differently - fixed project fees, hourly rates, value-based pricing... Specifically for mid-size companies (200-500 employees) where the projects get pretty complex 🔵 What pricing model is working best for you? 🔵 🔵 What ranges are you seeing for these kinds of engagements? 🔵 I don't want to underprice myself but I also don't want to scare clients away Would love to hear what's actually working!! 😁😁 Thank you!!!

Most people build automations like a straight line. Beginner logic: Trigger → Action → Done. ​ It works perfectly on a whiteboard. But in reality? It breaks the moment a real human interacts with it. Real data is messy. ​ Expert architecture looks like this: Trigger → Check → Decide → Act → Verify → Log. ​ Let’s look at a standard Lead Capture workflow: ❌ Beginner: Lead comes in → Send SMS. (Result: Returning leads get spammed with generic welcome messages). ✅ Expert: Lead comes in → Check CRM (Do they exist?) → Decide (New or Returning?) → Act (Send contextual message) → Verify (Did they reply?) → Log (Update pipeline stage). ​ The difference? Beginners automate tasks. Experts automate decisions and safety. ​ When you are orchestrating complex flows, that verification layer is what prevents operational disasters. ​ Let’s talk shop in the comments: 1️⃣ What specific automation or AI agent are you building right now? 2️⃣ What is the hardest edge-case or logic bottleneck you are trying to handle? 3️⃣ How are you structuring your agent's architecture? 4️⃣ Which part of the "Expert Flow" above do you find most critical? ​ Let’s discuss and help each other out!