Leadeo AI

No algorithm can fully grasp the subtle shifts in a client's voice, the needs behind a question, or the bond that is created between two individuals through understanding. The greatest deals are not just won by data, they're secured by genuine human connection. This is why business growth, at its core, will always be about people. #Sales #HumanConnection #Relationships #BusinessGrowth

A lot of people have no Idea how AI agents work, so I want to share an insightful research paper done in June 2024 by Zehang Deng, Yongjian Gou, and other researchers (Full research can be found on ResearchGate) 🤖 AI agents work in a loop-like workflow which follows the following logic. 1-Perception: How the AI see. This is where the AI agent receives information from its "Environment" (e.g. your CRM, website forms, emails, data feeds). It takes this raw input and understands it, like a human taking in information through their senses. 2- Brain: How the AI think. first it reasons, processes the perceived information and making sense of what's happening. Then the LLM acts like its knowledge base and language interpreter, helping it understand complex requests and generate responses or plans. Finally planning, based on its reasoning and knowledge, the AI agent decides what steps it needs to take to achieve its goal. 3- Action: How the AI takes Action. Once a plan is formed, the AI agent performs actions back in its environment. This could be sending an email, updating a database, creating a task, or engaging with a customer. 🤖 Supporting actions throughout the process. 1- Memory: The AI agent stores past interactions and data, allowing it to learn and improve its actions over time. Which is one of the reasons why AI takes processing power continuously. 2- Interaction: This is how the agent communicates with users or other systems, both receiving input and sending outputs. Such as API's or integrations This continuous workflow is what makes AI agents so powerful for automating complex, dynamic tasks in business. Understanding how AI agents work is essential. New methods come every now and then and you need to keep up with the new updates in order to take your business to the next level. #AIAgents #AIWorkflow #Automation #BusinessIntelligence #HowAIWorks #DigitalTransformation

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Soon, AI will deeply connect with how we find customers. Here's how it's happening: 1- 𝗔𝗱𝘀 𝗶𝗻 𝗔𝗜 𝗦𝗲𝗮𝗿𝗰𝗵: Ads won't just be separate links. When someone asks an AI search engine a question, the AI's answer might include a relevant product or service directly. The AI understands what people really mean, not just keywords, to show the right ads. 2- 𝗠𝗮𝗸𝗶𝗻𝗴 𝗔𝗱𝘀 𝘄𝗶𝘁𝗵 𝗦𝗶𝗺𝗽𝗹𝗲 𝗣𝗿𝗼𝗺𝗽𝘁𝘀: Companies like Meta are working on letting you create full ad campaigns by just telling the AI what you want in simple words. For example, you could say: "Run an ad for our new product, target people who like fitness, spend $500, run for a week." The AI will set up the ads, targeting, and spending. 3- 𝗔𝗜 𝗖𝗿𝗲𝗮𝘁𝗲𝘀 𝗔𝗱 𝗗𝗲𝘀𝗶𝗴𝗻𝘀: AI will also make the actual ad pictures, videos, and text. You give it ideas, and the AI creates different versions that fit different platforms like Instagram or TikTok. It helps make many personalized ads quickly. This means marketers will use AI more for strategy and guiding the AI, rather than doing every small task. #AIMarketing #DigitalAds #AI #MarketingAutomation #FutureOfMarketing

As AI models become more common, knowing how to ask good questions helps you get better results. This skill also helps keep up with new job opportunities appearing in the market, like prompt engineers and "vibe coders" Major AI companies are sharing free resources to help people learn this skill. Here are some official guides and tutorials for learning prompt engineering: 🤖 DeepLearning.AI offers practical courses on prompt engineering: "ChatGPT Prompt Engineering for Developers" (with OpenAI): https://lnkd.in/dwjtjiwc "Prompt Engineering for Developers" (with Google Cloud): https://lnkd.in/dayuTiXU 🤖 OpenAI's Official Prompt Engineering Guide: Direct information from the creators of ChatGPT: https://lnkd.in/dnJs6Gra 🤖 Google AI for Developers: Provides guidelines and examples for using Google's AI models effectively: https://lnkd.in/d92idiSn 🤖 Microsoft's Prompt Engineering Documentation: Guidance from Microsoft on creating effective prompts for their AI services: https://lnkd.in/dPpcgJMD 🤖 Hugging Face's Learn Section: A resource for learning about open-source AI, including prompt concepts: https://lnkd.in/dDGaDzp8 (Search for "prompt engineering" within their materials.) Learning from these sources can improve how you interact with AI. Which of these resources looks most useful to you? #AI #PromptEngineering #ArtificialIntelligence #Learning #Resources #JobMarket #FutureSkills #ChatGPT #Gemini #Google

Most firms don't struggle with deal sourcing. They struggle with deal filtering. More databases. More brokers. More SDRs. More "relationship building." More LinkedIn messages collecting dust in prospect inboxes. It feels productive. It looks good in the pipeline report. But inside the firm? It's a maze of dead-end conversations. At the end of the day, proprietary deal flow doesn't come from more outreach. It comes from intelligent outreach - with extreme precision. Deal sourcing isn't a numbers game. It's an intelligence operation, executed systematically. And the firms that win are the ones that automate the filtering fastest. So, how do you know if you're sourcing inefficiently? - More leads but fewer qualified opportunities - Growing SDR team but flat meeting volumes - Database costs rising without ROI improvement - "Relationship building" that never converts - Brokers pitching deals outside your thesis You're not lacking effort. You're lacking infrastructure. Here's how to build an AI-powered deal engine that actually works: 1. Use intelligence before outreach. Before sending messages, ask: - Who's actually ready to sell? - Which signals indicate timing? - Where are we wasting attention? You can't have quality conversations without quality targeting. 2. Treat attention like capital. Every outreach costs focus. And focus is your scarcest resource. Let AI handle the filtering so your team focuses only on qualified conversations. Force efficiency through automation. 3. Build a Self-Operating System Every deal engine should include: - Multi-channel outreach sequences - Behavioral follow-up logic - Conversational AI qualification - Automated meeting scheduling If you're not systematizing the process, don't be surprised when deals slip through. The greatest threat to sourcing isn't competition. It's inefficiency. At $100M AUM, manual works. At $1B AUM, it kills deal flow. Because scale isn't just about more activity. It's about more intelligent activity. Your job isn't to review every opportunity. It's to build infrastructure that surfaces the opportunities that actually matter. Small firms die from deal scarcity. Large firms die from deal noise.