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24 contributions to AI Automation Society
I built a voice agent that can abuse on phone calls!
Companies need to introduce restrictions on AI agents . Otherwise it will be very harmful for humanity
The Next Skill Gap in AI Automation Isn’t Technical
As AI automation becomes easier to build, a new gap is opening up. It’s not about prpmpts. It’s not about tools. It’s about responsibility. More businesses are letting AI answer customers, qualify leads, send follow-ups, and make operational decisions.But very few people can clearly answer one question: Who is accountable when the AI gets it wrong? In the future, the most valuable AI builders won’t just automate tasks.They’ll design responsibility into systems. That means:Clear boundaries on what AI can and cannot decideDefined escalation paths to humansExplicit ownership when failures happenTransparent reasoning for important actions Companies won’t adopt AI based on how smart it is.They’ll adopt it based on how safe it feels to trust. The people who understand this early won’t just build automations.They’ll become long-term partners to the businesses they serve. That’s where the real leverage will be.
Looking to Connect with some E-com Coaches
Hey everyone, I am currently looking forward to connect with some E-com coaches. If you know any E-com coach with whom you can connect me with. Then you can DM me on Skool or email me at - munawar.017m@gmail.com
1 like • Dec '25
Great move seeking connections in the e-comm coaching space. The best coaches will help you refine product market fit and supply chain strategy. Focus on coaches who've built and scaled 7-figure stores themselves - they'll have the battle scars and data that matter.
OpenAI engineers use a prompt technique internally that most people have never heard of
OpenAI engineers use a prompt technique internally that most people have never heard of. It's called reverse prompting. Most people write prompts like this: "Write me a strong intro about AI." The result feels generic. This is why 90% of AI content sounds the same. You're asking the AI to read your mind. The Reverse Prompting Method: Instead of telling the AI what to write, you show it a finished example and ask: "What prompt would generate content exactly like this?" The AI reverse-engineers the hidden structure. AI models are pattern recognition machines. When you show them a finished piece, they can identify: Tone, Pacing, Structure, Depth, Formatting, Emotional intention Then they hand you the perfect prompt. https://www.agenticworkers.com/reverse-prompt-engineer Here's a tool that lets you pass in any text and it'll automatically reverse it into a prompt that can craft that piece of text content.
2 likes • Dec '25
Reverse prompting is underrated. This pattern matching approach surfaces the actual structure that makes content work. For anyone building AI content workflows, this is gold - feed good examples to Claude/GPT and let it extract the implicit rules. Beats guessing the perfect prompt every time.
Need reliable engineers without the hiring headache?
We provide staff augmentation with senior, full-time developers who plug directly into your team. No freelancers. No bench risk. We are also open for white label partnerships if you want to deliver tech talent under your own brand while we handle delivery. If you are scaling, hiring, or want a backend team powering your offers, let’s connect.
1 like • Dec '25
This is smart for scaling backends efficiently. The white-label model removes hiring friction. The bench risk removal is huge - teams get tested talent without the overhead. Key for agencies looking to deliver reliable tech under their own brand.
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Abhinav Jaiswal
4
17points to level up
@abhinav-jaiswal-5369
AI Consultant | AI Automation System for Coaches & marketing agencies

Active 5d ago
Joined Aug 19, 2025
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