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AI Automation Workflow & Orchestration
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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How are you actually using AI in your design workflow?
For me, AI sharpens the thinking before it speeds up the making. I use ChatGPT to turn my ultra detailed briefs into compelling brnd stories and identity descriptions. Great storytelling sells and not everyone is a natural copywriter. It replaces hours of copy refinement and elevates the narrative.
For visuals, I use Google Nano Banana Pro for most concepts, Seedream 4.5 for ultra-realistic 4K mockups, and Mystic 2.5 for surreal, illustrative explorations. They don’t replace creativity, they expand it.
Big insight: AI is only as good as your input. The better the prompt, the better the outcome.
How much time do you invest in crafting the perfect prompt?
Using AI to sharpen briefs before touching Figma is such a smart workflow. Probably 20-30 mins on prompts saves hours of revision later.
I just finished creating a voice AI call assistant for one of my real estate clients in India, and the results are already impressive.
Check out this video of him testing the system in real-time:
1. Answers calls automatically
2. Books appointments without human intervention
3. Sends confirmations & reminders instantly
For real estate brokers, every missed call is lost revenue. With this AI assistant, you never miss a lead, save hours every week, and can focus on closing deals instead of answering calls.
💡 Imagine having this system for your business. DM me if you want to see a live demo and how it can transform your client acquisition.
AI Voice DevelopmentAutomation EngineeringGo High LevelN8NElevenLabsAI Automationvoiceaiaivoiceagentaivoiceassistant
Strong positioning. The real value of voice AI isn’t just automation — it’s response-time compression. Missed-call recovery alone can materially shift conversion economics.
This n8n automation triggers manually to run two parallel AI agents. Agent A searches for internships, while Agent B searches for current AI trends, both using SerpAPI. Their structured findings are merged and sent to an orchestrator agent, which generates insights connecting the jobs to trends and updates a Google Doc with the analysis.
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