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🚨BREAKING: THIS AI AGENT OUTPERFORMS HUMAN RESEARCHERS it gathers data, creates tables, generates graphs, incorporates images.. and occasionally even creates images — fully automated 8 insane examples you won't believe: 1. one-shots a research paper with illustrations and diagrams

Nelly;

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52,395 次观看 • 1 年前 •via X (Twitter)

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Google Nano Banana 🍌 is crazy good at static ads... But it only generates one image at a time. This n8n AI Agent helps you generate 1000s of winning ad variations in minutes, fully automated. → Built with the latest Nano Banana image model → Creates static ad images in bulk → Upload product reference image via n8n form → OpenAI Vision analyzes your product automatically → AI Agent generates custom image prompts (you choose how many) → Nano Banana creates static ad images on demand → Images auto-stored in Box. com for instant access You can request 50, 100, or even 1000 ad variations with one upload. Just specify the number in the form → AI does everything else. Built 100% in n8n. Zero manual work after setup. Want access to the template? → Like this post → Comment "ADS" And I'll send it right over.

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Forget about any other AI, the signs are clear: Grok 4.3 Beta is already #1 - Creates clean slides, graphs, images & dashboards - Pulls real-time web data + images - Runs smooth multi-step workflows - Analyzes videos like a beast From idea → full presentation or dashboard in one chat. Grok is finally becoming that everyday superpower. And the Grok Computer drops soon This is the one. Source: Grok, Elon Musk

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AI agent is taking over advertising.. NEX's new AI model, Marko, can now train your product and generate unlimited commercial quality images and videos for you and.. edit by chatting with it. this bring AI product ads to a new level. 10 examples:

AI agent is taking over advertising.. NEX's new AI model, Marko, can now train your product and generate unlimited commercial quality images and videos for you and.. edit by chatting with it. this bring AI product ads to a new level. 10 examples:

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This AI Agent generates 1000s of winning static ads automatically. → Auto-generates 100+ unique image variations → AI writes custom prompts for each ad angle → OpenAI Image creates on-brand visuals in seconds → Links each image to specific ad copy automatically → Bulk generation with one checkbox → Editable prompts before image creation → Hosted images ready for immediate upload → Built in n8n + Airtable (zero coding) Perfect for ecomm operators, creative strategists, and Meta ad agencies. The workflow: 1. Drop in product URL 2. AI researches brand & audience 3. Generates 100+ ad copy variations 4. Creates 100+ custom image prompts 5. Produces 100+ static ad images All in under 5 minutes. >> No more creative bottlenecks. >> No more waiting on designers. Just static ads, at scale, on demand. Want access to the n8n template + Airtable database? Like + Comment "ADS" and I'll send it over.

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🚨Prompt Share in attached post!🚨 Got ask a few times for Prompt for Vid 1. It is nearly Xmas and ChatGPT helped so just this once... Here's 3 more examples with MJ images fed into Kling AI 2.6 May take a few gens to get right. Try it , improve it & make it your own!

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181,303 次观看 • 5 个月前

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

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Hasan Toor

40,424 次观看 • 5 个月前

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

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ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

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50,097 次观看 • 4 个月前

Agentic traces contain perfect information about an agent’s behavior with every plan, action, and retry. But that information gets lost in a sea of JSON. So we built AgentPrism: open source React components that turn traces into visual diagrams for debugging AI agents. You can plug in your OpenTelemetry data and see your agent’s process unfold: messages, tool calls, retries. Quotient AI automatically monitors, analyzes, and improves AI agents. Being able to review traces quickly is paramount for their research, and for their customers. “Dealing with agent traces was one of the biggest frustrations for our researchers and a huge time sink. All of that has gone away since adding AgentPrism, and we’re excited to bring that functionality to our users.” — Julia Neagu

Agentic traces contain perfect information about an agent’s behavior with every plan, action, and retry. But that information gets lost in a sea of JSON. So we built AgentPrism: open source React components that turn traces into visual diagrams for debugging AI agents. You can plug in your OpenTelemetry data and see your agent’s process unfold: messages, tool calls, retries. Quotient AI automatically monitors, analyzes, and improves AI agents. Being able to review traces quickly is paramount for their research, and for their customers. “Dealing with agent traces was one of the biggest frustrations for our researchers and a huge time sink. All of that has gone away since adding AgentPrism, and we’re excited to bring that functionality to our users.” — Julia Neagu

Evil Martians

101,372 次观看 • 9 个月前

SOMEONE BUILT AN OPEN-SOURCE JARVIS WITH 9 AGENTS AND 5 MEMORY BACKENDS AND YOUR DATA NEVER LEAVES YOUR DEVICE Every time you message ChatGPT or Claude your data hits a server you don't control, gets processed by infrastructure you're paying for and comes back with zero guarantee of what happened in between. OpenJarvis runs the entire stack locally - 9 agent types, 5 memory backends, a learning loop that gets smarter every day and a morning digest that connects to Google Drive and surfaces what matters before you open a single app. Most AI tools are exactly as dumb on day 100 as they were on day 1 because they forget everything when the window closes - this one indexes your documents once and automatically injects relevant context into every prompt forever. Custom agent setup for a client is $500-2,000 one time and AI infrastructure retainer is $300-800 a month - and your cost is one afternoon and an open source repo. The repo is free. The advantage it creates is not.

SOMEONE BUILT AN OPEN-SOURCE JARVIS WITH 9 AGENTS AND 5 MEMORY BACKENDS AND YOUR DATA NEVER LEAVES YOUR DEVICE Every time you message ChatGPT or Claude your data hits a server you don't control, gets processed by infrastructure you're paying for and comes back with zero guarantee of what happened in between. OpenJarvis runs the entire stack locally - 9 agent types, 5 memory backends, a learning loop that gets smarter every day and a morning digest that connects to Google Drive and surfaces what matters before you open a single app. Most AI tools are exactly as dumb on day 100 as they were on day 1 because they forget everything when the window closes - this one indexes your documents once and automatically injects relevant context into every prompt forever. Custom agent setup for a client is $500-2,000 one time and AI infrastructure retainer is $300-800 a month - and your cost is one afternoon and an open source repo. The repo is free. The advantage it creates is not.

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