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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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.

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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.

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).

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