Prompt share: Liquid plumes
Prompt:
Prompt:
The [subject] is formed from liquid plumes swirling in milky water. Soft diffusion, abstract forms, rich ink blacks, and cloudy whites blend naturally, giving a dreamy, poetic impression.
β€7π3
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β€3
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β€2
How People Use ChatGPT:
OpenAI says ChatGPT now has over 800 million weekly users. Thatβs around 10 percent of the worldβs adult population, just three years after launch.
New research shows how people actually use it. More than 70% of conversations are now non-work related, up from 53% early on. When it is used for work, writing dominates, far ahead of search, coding, or analysis.
OpenAI says ChatGPT now has over 800 million weekly users. Thatβs around 10 percent of the worldβs adult population, just three years after launch.
New research shows how people actually use it. More than 70% of conversations are now non-work related, up from 53% early on. When it is used for work, writing dominates, far ahead of search, coding, or analysis.
β€9π₯6π3
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β€1
Ex_Files_NotebookLM_for_Research.zip
28.4 MB
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Chat GPT can help you with a lot of ideas and you can implement it any way you like, there are endless possibilities.
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β€5π1
7 out of 10 businesses are missing the AI automation opportunity.
So many are stuck in manual processes.
Wondering why competitors are suddenly 10x faster.
But this 5-step AI automation process will help you out.
Hereβs what business leaders should be implementing:
STEP 1: IDENTIFY AI USE CASES
β³ Content Creation with Jasper, Copy(.)ai
β³ Data Analysis with Julius AI, Code Interpreter
β³ Customer Support with Retell AI, Vectorshift AI
STEP 2: SELECT AI MODEL/TOOL
β³ ChatGPT for conversations & images
β³ Claude for analysis & coding
β³ n8n for workflow automation
STEP 3: DESIGN AGENT WORKFLOW
β³ Map the process with clear inputs/outputs
β³ Define decision logic
β³ Set up error handling
STEP 4: CONNECT APIs & DATA
β³ Zapier for app connections
β³ Make for workflow automation
β³ Langchain for AI frameworks
STEP 5: DEPLOY & MONITOR
β³ Track performance metrics
β³ Optimize based on results
β³ Scale what works
KEY TECH SKILLS YOU NEED:
- API Integration & Webhooks
- Prompt Engineering (ChatGPT, Claude)
- No-Code Platforms (Lovable, n8n)
- Vector Databases
- AI Agent Architecture
Most companies dabble with ChatGPT while missing
the opportunity to automate entire workflows.
This 5-step process cuts through the hype.
It gives you a clear path to 10x productivity.
And the competitive edge to dominate your niche.
So many are stuck in manual processes.
Wondering why competitors are suddenly 10x faster.
But this 5-step AI automation process will help you out.
Hereβs what business leaders should be implementing:
STEP 1: IDENTIFY AI USE CASES
β³ Content Creation with Jasper, Copy(.)ai
β³ Data Analysis with Julius AI, Code Interpreter
β³ Customer Support with Retell AI, Vectorshift AI
STEP 2: SELECT AI MODEL/TOOL
β³ ChatGPT for conversations & images
β³ Claude for analysis & coding
β³ n8n for workflow automation
STEP 3: DESIGN AGENT WORKFLOW
β³ Map the process with clear inputs/outputs
β³ Define decision logic
β³ Set up error handling
STEP 4: CONNECT APIs & DATA
β³ Zapier for app connections
β³ Make for workflow automation
β³ Langchain for AI frameworks
STEP 5: DEPLOY & MONITOR
β³ Track performance metrics
β³ Optimize based on results
β³ Scale what works
KEY TECH SKILLS YOU NEED:
- API Integration & Webhooks
- Prompt Engineering (ChatGPT, Claude)
- No-Code Platforms (Lovable, n8n)
- Vector Databases
- AI Agent Architecture
Most companies dabble with ChatGPT while missing
the opportunity to automate entire workflows.
This 5-step process cuts through the hype.
It gives you a clear path to 10x productivity.
And the competitive edge to dominate your niche.
β€1