• Kortix AI Corp is developing an autonomous Software Humanoid designed to interact with any computer interface. This agent aims to operate computers, potentially automating various tasks. It differs from AI assistants like Suna, which focus on conversational task completion. Kortix's approach centers on direct system interaction. The development of a Software Humanoid signifies an advanced step towards broader computer automation. The open-source nature of some AI assistants like Suna promotes community involvement and customization, which may not be a priority for Kortix's closed-source development.

    https://www.kortix.ai/
    https://www.suna.so/ (AI Employee)

    #AIRevolution #TechInnovation #KortixAI #AutomationFuture #SoftwareHumanoid #NextGenTech #AIForEveryone #TechAutomation #FutureOfWork #DigitalTransformation #SmartTechnology #AIInAction #TechForGood #InnovationUnleashed #FutureIsNow
    Kortix AI Corp is developing an autonomous Software Humanoid designed to interact with any computer interface. This agent aims to operate computers, potentially automating various tasks. It differs from AI assistants like Suna, which focus on conversational task completion. Kortix's approach centers on direct system interaction. The development of a Software Humanoid signifies an advanced step towards broader computer automation. The open-source nature of some AI assistants like Suna promotes community involvement and customization, which may not be a priority for Kortix's closed-source development. https://www.kortix.ai/ https://www.suna.so/ (AI Employee) #AIRevolution #TechInnovation #KortixAI #AutomationFuture #SoftwareHumanoid #NextGenTech #AIForEveryone #TechAutomation #FutureOfWork #DigitalTransformation #SmartTechnology #AIInAction #TechForGood #InnovationUnleashed #FutureIsNow
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  • OpenAI Academy Overview OpenAI Academy is a new initiative aimed at promoting AI literacy through workshops and digital content, catering to individuals from diverse backgrounds. source
    Free Courses Available The Academy offers a wide range of free courses designed to teach AI fundamentals and practical applications. source
    🛠 Hands-on Learning It features tutorials, real-life case studies, and hands-on exercises for self-paced professional development. source

    https://academy.openai.com/
    🎓 OpenAI Academy Overview OpenAI Academy is a new initiative aimed at promoting AI literacy through workshops and digital content, catering to individuals from diverse backgrounds. source 📚 Free Courses Available The Academy offers a wide range of free courses designed to teach AI fundamentals and practical applications. source 🛠 Hands-on Learning It features tutorials, real-life case studies, and hands-on exercises for self-paced professional development. source https://academy.openai.com/
    OpenAI Academy
    academy.openai.com
    Unlock the new opportunities of the AI era by equipping yourself with the knowledge and skills to harness artificial intelligence effectively.
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  • AI Overview
    LLM (Large Language Model) engine optimization, often referred to as LLMO, LLM SEO, or GEO (Generative Engine Optimization), is the process of enhancing content so that it is easily found and effectively utilized by AI language models like ChatGPT, Gemini, and others. Essentially, it's about making your content "AI-friendly" to increase its visibility in the responses generated by these AI tools.

    https://morningscore.io/llm-optimization/#:~:text=FAQ%20on%20LLMO-,What%20is%20LLMO?,well%2C%20more%20pleasant%20to%20say.

    https://writesonic.com/blog/llm-optimization#:~:text=LLM%20Optimization%20(LLMO)%20is%20the,visibility%20increase%20in%20LLM%20responses.
    AI Overview LLM (Large Language Model) engine optimization, often referred to as LLMO, LLM SEO, or GEO (Generative Engine Optimization), is the process of enhancing content so that it is easily found and effectively utilized by AI language models like ChatGPT, Gemini, and others. Essentially, it's about making your content "AI-friendly" to increase its visibility in the responses generated by these AI tools. https://morningscore.io/llm-optimization/#:~:text=FAQ%20on%20LLMO-,What%20is%20LLMO?,well%2C%20more%20pleasant%20to%20say. https://writesonic.com/blog/llm-optimization#:~:text=LLM%20Optimization%20(LLMO)%20is%20the,visibility%20increase%20in%20LLM%20responses.
    LLM Optimization explained | How to optimize for AI search
    morningscore.io
    LLMO is the new SEO! Optimizing for Google is NOT dead but getting started optimizing for LLMs will prepare you to the future of AI search.
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  • This repository contains a comprehensive collection of over 2,000 n8n workflows, along with an automated documentation system that provides detailed analysis and interactive browsing capabilities. The documentation system extracts valuable information from each workflow, including trigger types, complexity levels, integrations, and AI-generated descriptions.

    https://github.com/Zie619/n8n-workflows
    https://github.com/n8n-io

    #AutomationMadeEasy #n8nWorkflows #ProductivityBoost #WorkflowAutomation #SimplifyYourLife #TechForEveryone #AIIntegration #SmartAutomation #TimeSaverTools #TechTips #InnovationSimplified #DigitalSolutions #TaskAutomation #EfficiencyHacks #FutureOfWork
    This repository contains a comprehensive collection of over 2,000 n8n workflows, along with an automated documentation system that provides detailed analysis and interactive browsing capabilities. The documentation system extracts valuable information from each workflow, including trigger types, complexity levels, integrations, and AI-generated descriptions. https://github.com/Zie619/n8n-workflows https://github.com/n8n-io #AutomationMadeEasy #n8nWorkflows #ProductivityBoost #WorkflowAutomation #SimplifyYourLife #TechForEveryone #AIIntegration #SmartAutomation #TimeSaverTools #TechTips #InnovationSimplified #DigitalSolutions #TaskAutomation #EfficiencyHacks #FutureOfWork
    GitHub - Zie619/n8n-workflows: all of the workflows of n8n i could find (also from the site itself)
    github.com
    all of the workflows of n8n i could find (also from the site itself) - Zie619/n8n-workflows
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  • Full Stack PRD Guide for Vibe Coders

    https://github.com/cpjet64/vibecoding/blob/main/prd-guide.md

    Hey Vibe Coders! To help with product definition and avoid scope creep, here’s a guide for creating effective Product Requirements Documents (PRDs).

    Step 1: Create a "prd.md" Document
    Make a markdown file named "prd.md" as your product roadmap. A template is available at the end.

    Step 2: Document Each Product Component
    For each component (user flows, features, interfaces):
    - Key functionality (e.g., authentication)
    - User stories/acceptance criteria
    - Technical constraints
    - Priority level (must-have, should-have, nice-to-have)

    Step 3: Add Overall Product Metrics
    Key success metrics to document:
    - Key Performance Indicators (KPIs)
    - User acquisition and retention rates
    - Conversion goals
    - Engagement benchmarks

    Step 4: Consult Advanced AI
    Engage in detailed discussions with AI like ChatGPT 4.5 or Claude 3.7. Discuss various aspects of your PRD, challenge assumptions, and gather insights.

    PRD Principles to Remember
    - Focus on the WHAT, not the HOW
    - Requirements should be measurable
    - Link each feature to a user need
    - Prioritize to prevent scope creep

    Recommended PRD Components
    Include sections such as:
    - Product vision/goals
    - User personas/maps
    - Feature breakdowns
    - Non-functional requirements
    - Metrics/analytics plans
    - User research insights

    User Research Integration
    Incorporate user research by documenting:
    - User pain points/needs
    - User quotes/inspiration
    - User segments and distinct requirements
    - Edge cases and accessibility requirements
    - Testing plans for validation

    Feature Prioritization
    Use frameworks like MoSCoW, RICE scoring, and ROI analysis to prioritize features.

    Stakeholder Management
    Document approval processes, feedback loops, and change management procedures. Establish communication plans.

    Product Analytics & Measurement
    Define success metrics, instrument tracking, and set up reporting for user behavior.

    User Experience Design
    Link your PRD to user experience through flow diagrams, UI requirements, accessibility, and performance expectations.

    Technical Considerations
    Align product requirements with technical planning, covering API needs, security, and third-party dependencies.

    Release Planning & Timeline
    Plan your release strategy, milestones, timelines, testing phases, and post-launch monitoring.

    Keep your products well-defined and focused!
    Document Versions
    Latest versions of this guide are available on GitHub and X.com.
    Full Stack PRD Guide for Vibe Coders 📝 https://github.com/cpjet64/vibecoding/blob/main/prd-guide.md Hey Vibe Coders! To help with product definition and avoid scope creep, here’s a guide for creating effective Product Requirements Documents (PRDs). Step 1: Create a "prd.md" Document 📋 Make a markdown file named "prd.md" as your product roadmap. A template is available at the end. Step 2: Document Each Product Component ⚙️ For each component (user flows, features, interfaces): - Key functionality (e.g., authentication) - User stories/acceptance criteria - Technical constraints - Priority level (must-have, should-have, nice-to-have) Step 3: Add Overall Product Metrics 📊 Key success metrics to document: - Key Performance Indicators (KPIs) - User acquisition and retention rates - Conversion goals - Engagement benchmarks Step 4: Consult Advanced AI 🤖 Engage in detailed discussions with AI like ChatGPT 4.5 or Claude 3.7. Discuss various aspects of your PRD, challenge assumptions, and gather insights. PRD Principles to Remember 🔑 - Focus on the WHAT, not the HOW - Requirements should be measurable - Link each feature to a user need - Prioritize to prevent scope creep Recommended PRD Components 🛠️ Include sections such as: - Product vision/goals - User personas/maps - Feature breakdowns - Non-functional requirements - Metrics/analytics plans - User research insights User Research Integration 💻👥 Incorporate user research by documenting: - User pain points/needs - User quotes/inspiration - User segments and distinct requirements - Edge cases and accessibility requirements - Testing plans for validation Feature Prioritization 🎯 Use frameworks like MoSCoW, RICE scoring, and ROI analysis to prioritize features. Stakeholder Management 👥 Document approval processes, feedback loops, and change management procedures. Establish communication plans. Product Analytics & Measurement 📊 Define success metrics, instrument tracking, and set up reporting for user behavior. User Experience Design 🎨 Link your PRD to user experience through flow diagrams, UI requirements, accessibility, and performance expectations. Technical Considerations 🔧 Align product requirements with technical planning, covering API needs, security, and third-party dependencies. Release Planning & Timeline 📅 Plan your release strategy, milestones, timelines, testing phases, and post-launch monitoring. Keep your products well-defined and focused! ✌️ Document Versions Latest versions of this guide are available on GitHub and X.com.
    vibecoding/prd-guide.md at main · cpjet64/vibecoding
    github.com
    A living repository for vibe coders. Contribute to cpjet64/vibecoding development by creating an account on GitHub.
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  • The concept of the Prompt Requirements Document (PRD) is emerging as a crucial tool in the era of AI-assisted development, known as the "Vibe Coding" era. Unlike traditional PRDs, which focused on aligning human teams, the new PRD is about creating structured prompts that both humans and AI can understand and use effectively. This shift is necessary as AI tools like Cursor, Cline, and Claude are increasingly being used for coding, testing, and documentation.

    A well-crafted PRD can improve collaboration between humans and AI, ensuring better results and reducing inefficiencies caused by vague instructions. It’s particularly helpful for teams experimenting with AI-driven workflows, enabling even non-technical contributors to participate in complex projects.

    This approach is still evolving, but it’s already proving to be a game-changer in managing AI interactions and maintaining productivity in fast-paced development cycles. For more details, check out tools like Cursor (https://www.cursor.so/) and Claude (https://www.anthropic.com/index/claude).
    The concept of the Prompt Requirements Document (PRD) is emerging as a crucial tool in the era of AI-assisted development, known as the "Vibe Coding" era. Unlike traditional PRDs, which focused on aligning human teams, the new PRD is about creating structured prompts that both humans and AI can understand and use effectively. This shift is necessary as AI tools like Cursor, Cline, and Claude are increasingly being used for coding, testing, and documentation. A well-crafted PRD can improve collaboration between humans and AI, ensuring better results and reducing inefficiencies caused by vague instructions. It’s particularly helpful for teams experimenting with AI-driven workflows, enabling even non-technical contributors to participate in complex projects. This approach is still evolving, but it’s already proving to be a game-changer in managing AI interactions and maintaining productivity in fast-paced development cycles. For more details, check out tools like Cursor (https://www.cursor.so/) and Claude (https://www.anthropic.com/index/claude).
    Cursor - The AI Code Editor
    www.cursor.so
    Built to make you extraordinarily productive, Cursor is the best way to code with AI.
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  • https://www.hcompany.ai/runner-h#features
    https://www.hcompany.ai/runner-h#features
    Runner H
    www.hcompany.ai
    Runner H redefines how you interact with AI, blending memory, orchestration, execution, and deep application integration into one intuitive and powerful interface.
    0 Comments ·0 Shares ·206 Views
  • DeepCoder: Revolutionizing AI-Powered Code Generation

    Our 14B-Preview model is a powerful open-source solution fine-tuned for coding tasks, achieving 60.6% Pass@1 accuracy on LiveCodeBench. Built through collaboration between Together AI and Agentica.
    https://deepcoder.org/
    DeepCoder: Revolutionizing AI-Powered Code Generation Our 14B-Preview model is a powerful open-source solution fine-tuned for coding tasks, achieving 60.6% Pass@1 accuracy on LiveCodeBench. Built through collaboration between Together AI and Agentica. https://deepcoder.org/
    deepcoder.org
    Our 14B-Preview model is a powerful open-source solution fine-tuned for coding tasks, achieving 60.6% Pass@1 accuracy on LiveCodeBench. Built through collaboration between Together AI and Agentica.
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  • Build full stack apps in seconds using AI.

    https://von.dev/chats/new
    Build full stack apps in seconds using AI. https://von.dev/chats/new
    von.dev
    Build full stack apps in seconds using AI.
    0 Comments ·0 Shares ·209 Views
  • AI course from Harvard university select free and get started !

    https://pll.harvard.edu/subject/artificial-intelligence
    AI course from Harvard university select free and get started ! https://pll.harvard.edu/subject/artificial-intelligence
    Artificial Intelligence | Harvard University
    pll.harvard.edu
    Browse the latest Artificial Intelligence courses from Harvard University.
    0 Comments ·0 Shares ·211 Views
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