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ChatGPT

ChatGPT is helping hackers write malware codes

ChatGPT, the new AI sensation, is assisting even less skilled cyber threat actors in writing code and launching cyberattacks with ease, according to researchers at security firm Check Point Research in a blog post published on Friday.

Since OpenAI released ChatGPT in November of last year, there has been a surge of interest in AI and its potential applications. While it is too early to predict whether ChatGPT will become the new favourite tool for Dark Web participants, the cybercriminal community has already shown significant interest and is capitalising on this latest trend to generate malicious code, according to researchers. According to the firm’s analysis of several major underground hacking communities, cyber attackers with little or no coding experience were using ChatGPT to write code for spying, ransomware, and other malicious tasks.

by Team SNFYI

Artificial intelligence is quietly rewriting the rules of digital productivity — and nowhere is that more obvious than in the way ChatGPT has evolved from a reactive chatbot to a true prompt generator and system builder. Today, building the right instruction is the new coding, and AI tools like Gemini, Claude, and ChatGPT are the most valuable collaborators in my workflow. “Prompt engineering” isn’t just for developers anymore; it’s the bridge between ideas and outcomes, and the prompt generator is now the backbone of every project that actually ships. ChatGPT and Gemini now design every prompt in my stack – not just the answers ChatGPT and Gemini, two of the most powerful large language models, have quietly become my default co-workers for building instructions — not just for writing code, but for drafting product specs, conducting market analysis, rewriting sales copy, and brainstorming creative campaigns. Every day starts with a single ChatGPT prompt: “Build a reusable prompt that lets any LLM analyze 100 user reviews, cluster the pain points, and suggest three product improvements. Include instructions for a beginner and make it work for both ChatGPT and Gemini.” ChatGPT instantly delivers a multi-step, self-contained prompt with clear instructions, input examples, and role setup — usually better structured than I’d manage manually. Gemini then reviews the logic, adds edge cases, and tailors it to my target audience or industry. No more guessing, no more filler. Every new project, client, or experiment starts with a prompt that’s already two steps ahead of generic templates. ChatGPT, Gemini, and Claude build custom workflows for any use case – from research to content to ops ChatGPT, Gemini, and Claude don’t just make one-off prompts. They help me chain together project-specific workflows: For every project — from launching a SaaS tool to running a marketing campaign — the new meta-skill is building the prompt system, not just the prompt. Real example: Last month, I used this stack to generate an entire product launch brief, client onboarding flow, and three ad campaigns, all by remixing and tweaking my core prompt library. Claude rewrites every prompt for clarity, empathy, and user understanding Claude, known for its emotional intelligence, is my last-mile prompt editor. After ChatGPT and Gemini generate the logic, Claude reframes the language for humans: With Claude in the loop, my prompt generators produce not just better answers but better adoption. More people on my team — from interns to execs — now use AI because the instructions actually make sense. The real secret: All my prompts live, grow, and get tested in Chatronix Once my prompts are built, Chatronix becomes the brain of the system. I save, tag, test, and remix every prompt — across ChatGPT, Gemini, and Claude — with real-world feedback: Want to build your own prompt generator stack without code or plugin mess?Try the unified AI workspace at Chatronix.ai — prompt, compare, and deploy smarter. Table: My Universal AI Prompt Generator Workflow Use Case Prompt (English) Who Uses It Customer Review “Analyze 100 …

by Team SNFYI

Chatbot ChatGPT ran my negotiation – and my client had no idea I’ve closed dozens of deals before, but never like this. No Zoom calls. No follow-ups. No second guessing. Just one well-engineered conversation – entirely written and structured by Chatbot ChatGPT. The result? A $20K B2B contract signed in under five days. And I didn’t say a word. This isn’t a story about pretending to be someone else. It’s about letting AI do what it does best: stay cool under pressure, write with precision, and handle complex decision-making without emotional bias. ChatGPT crafted the proposal, replies, and follow-up – in my voice When the lead came in, I already knew what they needed: clarity, confidence, and a feeling that I was on it. Instead of replying directly, I gave ChatGPT this prompt: “Write a professional but friendly response to a client asking for scope and pricing. Use my voice – conversational but clear. Build trust.” ChatGPT returned: “Hey there – thanks for reaching out! Based on your goals, I’d recommend a phased approach. Here’s what that might look like…” It outlined a pricing structure, timeline, and value framing better than I ever could. It felt like me – on my best day. Claude optimized the structure to trigger faster decisions Once ChatGPT drafted the copy, I sent it to Claude for refinement. Prompt: “Restructure this to create urgency and reduce friction. Make it easy to say yes – without sounding pushy.” Claude did three things: It was persuasive without pressure – and the client responded within hours. Gemini researched competitor pricing so I could stay confident Gemini came into play when I doubted myself. Prompt: “What’s the average rate for [service] among US-based consultants in 2025?” Gemini pulled up market rates, gave breakdowns by experience level, and even offered a confidence range. I wasn’t just guessing – I was quoting with context. When you know you’re not overpricing, it shows. I used Chatronix to test every version – and tracked client behavior Instead of jumping between AI tabs, I used Chatronix to manage the entire deal. Here’s what it handled: It felt like having an entire negotiation team in my browser. Exact prompt stack I used to close the deal Step Tool Prompt Used First outreach draft ChatGPT “Write a friendly, clear message introducing myself and the service offer.” Proposal copy ChatGPT “Format proposal: scope, pricing, timeline. Use a conversational tone.” Urgency + CTA framing Claude “Make this easier to accept: reduce choice fatigue, create subtle urgency.” Market validation Gemini “Compare average rates for this service in the US. Include 2025 data.” Follow-up message ChatGPT “Polite follow-up if no response after 3 days. Keep tone warm and light.” ChatGPT turned business negotiation into a creative flow – not a chore Before using ChatGPT, negotiation stressed me out. I second-guessed everything – tone, wording, timing. But with this system, every step was smoother: I had time to focus on other clients, content creation, even a weekend off – while the …

by Team SNFYI

ChatGPT Chatbot helped me sound like a pro – without sounding like a bot I used to dread client negotiations. Too stiff? Too casual? Too many “Let me know your thoughts”? Then I discovered how to write natural-sounding, trust-building negotiation messages with Chatbot ChatGPT – and closed a $4,000 deal in under 10 minutes. No cringe intros. No robotic copy-paste tone.Just one script, one reply, and one instant “Let’s go.” This wasn’t some miracle. It was a structured, tested, and humanized prompting flow – the kind I now use in every high-stakes convo. ChatGPT gave me a negotiation voice I didn’t even know I had Most AI-generated proposals? Robotic, templated, forgettable. But when I asked ChatGPT: “Write a short, friendly message confirming my rate and deliverables. Keep it 100% human, no buzzwords, no cringe. Just like I’m texting a smart friend.” It replied with: “Sounds good! For the full project, I can offer a flat $4K. That includes all revisions, weekly check-ins, and fast turnaround. If that feels right to you, I can get started right away.” It was honest. Clear. Confident. No fluff.The client replied: “Perfect. Let’s do it.” Claude helped soften tone and add emotional intelligence Claude works wonders when I need to sound tactful – especially around price. Prompt: “Rewrite this to feel warm but assertive. The tone should say: I value your business, but this rate reflects the quality.” Claude returned: “I’d love to collaborate on this – and to give it my full attention, $4,000 is the rate that ensures I can do my best work. If that works for you, I’d be thrilled to move forward.” It reads like someone who knows their value – without ego. Gemini added context and objections – so I could preempt them Gemini helped me predict how the client might respond. Prompt: “What objections might a client have to this pricing? How should I pre-answer them in a single sentence?” Gemini returned: I added these in my message – and the client didn’t ask a single question. I tested this exact flow inside Chatronix – and now I reuse it weekly Now I run every negotiation prompt through Chatronix – where I can: It’s my negotiation autopilot – humanized, optimized, and zero guesswork. Want to close deals without sounding like ChatGPT wrote it?Build your script stack inside Chatronix.ai The 5-line script that actually landed the deal This was the exact copy I sent (rewritten by GPT + Claude): Hey [Client Name] – super excited to collaborate! To deliver everything you need with full focus, I suggest a flat $4,000 for the full scope (includes revisions + check-ins). Timeline would be 5–7 days, with a mid-project review to stay aligned. Let me know if that sounds good – I can send the invoice and kick off today. Really looking forward to it. The client responded in under 4 minutes: “Sounds great. Please send invoice.” 🔍 How could AI detect AI-generated text? Multi-Agent Detection Approach Inspired by how human experts …