MarkItDown - Make any document AI friendly (by microsoft) MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies. https://github.com/microsoft/markitdown Someone created a pallatform for this here: https://markitdown.pro/ #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows

Vidnoz AI offers a powerful platform for creating videos quickly and cost-effectively, enhancing engagement and increasing return on investment (ROI). With features like realistic AI avatars, voice cloning, and a wide selection of templates, users can generate high-quality videos for various purposes such as education, marketing, and customer service. The platform's user-friendly interface and robust support system also help non-specialists, making it accessible for diverse applications across organizations. Now lets compare this platform with th eother powerful competitive options ... Heygen, veed.io and Invideo 🔍 Features: Vidnoz AI: Over 1500 AI avatars, 1830 voice options, and multi-language support (140+ languages) make voices come alive! Perfect for engaging educational content. Veed.io: Excellent for real-time collaboration and intuitive edits, but lacks the variety of AI avatars found in Vidnoz. Heygen: Focused on avatar realism, but with fewer customization options compared to Vidnoz’s extensive library. InVideo: Great for customizable templates and stock media, but can be overwhelming for beginners lacking guidance. 💰 Pricing: Vidnoz AI: Offers a free tier with essential features and a competitive pro subscription that unlocks advanced tools. Veed.io: Higher pricing tiers but very effective for teams in need of collaborative features. Heygen: Similar pricing to Vidnoz but with limited features at entry-level plans. InVideo: Affordable options available, but extra fees for premium assets may add up. 💡 Conclusion: Vidnoz AI stands out with its diverse options and affordable pricing, catering to both casual creators and professionals. https://vidnoz.com/ #VidnozAI #AIavatars #voicecloning #videoediting #videomarketing #AIvideo #Heygen #Veedio #Invideo #educationalcontent #marketingvideos #customerservice #AItools #videoengagement #ROI #AIVideoGeneration #texttospeech #avatarmarketing

Relevance AI is a leading platform designed to facilitate the creation of AI agents and multi-agent teams, enabling users to automate processes without the need for coding skills (https://relevanceai.com/ ) (https://www.youtube.com/@relevanceai ). This innovative solution allows businesses to build autonomous AI teams that can perform tasks on autopilot, streamlining operations and enhancing productivity (https://www.linkedin.com/company/relevanceai ) (https://www.reddit.com/r/AI_Agents/comments/1khlfzc/is_relevance_ai_really_as_effective_at_building/ ). While it serves as an excellent starting point for beginners interested in AI task automation, its effectiveness can vary based on the complexity of the tasks being automated (https://www.reddit.com/r/AI_Agents/comments/1khlfzc/is_relevance_ai_really_as_effective_at_building/ ). Overall, Relevance AI positions itself as a valuable resource for organizations looking to leverage AI technology in their workflows. https://relevanceai.com/ https://relevanceai.com/templates #RelevanceAI #AIAgents #NoCodeAI #Automation #AITeams #WorkflowAutomation #LowCodeAI #AutopilotAI #AITaskAutomation #AIWorkflow #BeginnerFriendlyAI #Bubble #Zapier #Make

N8N Beginner Course from N8N official Youtube https://www.youtube.com/watch?v=4BVTkqbn_tY&ab_channel=n8n An introduction to automation highlights its importance for data-driven decisions, reducing human error, and improving efficiency. Key concepts include triggers, filtering, actions, and workflows. Mapping processes before automation is essential for feasibility and understanding. The course aims to equip beginners with foundational knowledge for building effective automation workflows. N8N Advanced Course from N8N official Youtube https://www.youtube.com/watch?v=TFTLMQLozCI&ab_channel=n8n This video introduces n8n's advanced course, focusing on complex data flows. It explains node execution order, how to split and merge branches using if and switch nodes, and the merge node's functionalities. Additionally, it covers the loop over items node for handling large data sets and API rate limits, enhancing workflow efficiency. Resources: ❔ Need help or want to discuss the course? Join the conversation on our forum: https://community.n8n.io/t/beginner-course-1-9-introduction-to-automation/48589 🛠 Workflow templates: https://n8n.io/workflows/ 📚 Documentation: https://docs.n8n.io/ #n8n #automation #workflowautomation #lowcode #nocode #integration #dataflows #ifnodes #switchnodes #mergenodes #loopoveritems #apilimits #zapier #make #automatetheworld

The all-in-one AI application Everything great about AI in one desktop application. Chat with docs, use AI Agents, and more - full locally and offline. Leverage powerful AI tooling with no set up - Supports custom models Stay local fully with our built-in LLM provider running any model you want. Or leverage enterprise models from OpenAI, Azure, AWS, and more. - Use every type of document. PDFs, word documents, CSV, codebases, and so much more make up your business - now you can use them all. Even import docs from online locations - Full privacy AnythingLLM comes with sensible and locally running defaults for your LLM, embedder, vector database, and storage and agents. Nothing is shared unless you allow it. https://anythingllm.com/

The Learn Prompting course is well-regarded, with a 4.8-star rating and over 82,000 enrolled learners. Reviews highlight its clear explanations, making it suitable for beginners. It provides a strong foundation in prompt engineering, while advanced skills are developed through practical application and experimentation. The course is also free and open-source, which makes it accessible. https://learnprompting.org/

How to get N8N workflow templates (Free and Paid) n8n offers a vast library of automation workflow templates, exceeding 3000, created by a global community. These templates are designed to simplify automation tasks. Creators, like David Ashby, contribute to the available templates. These templates can be readily used to automate a range of tasks, making it easier to integrate and automate various processes and workflows. There are free and paid. And now remember when they popped up a couple of sites sellign Prompts ??? Well now we selling N8N workflow templates. Checkout n8nmarket - n8nMarket.com is a marketplace specializing in n8n workflow templates. It connects automation experts with businesses seeking to automate their processes by providing a platform where template creators can offer their solutions to potential buyers. The platform focuses on facilitating the connection between creators and buyers without handling sales transactions or reviewing templates. https://n8n.io/workflows/ https://n8nmarket.com/ #n8n #n8nworkflows #n8nmarket #automation #workflowtemplates #nocode #lowcode #ipaas #zapier #make #integromat #davidashby #businessautomation #processautomation #templatesmarketplace

What is Claudia UI and what can it do for your Vibe Coding ? Claudia is a powerful desktop application that transforms how you interact with Claude Code. It provides a beautiful GUI for managing your Claude Code sessions, creating custom agents, tracking usage, and much more. Claudia serves as a command center for Claude Code, bridging the gap between the command-line tool and a visual experience that makes AI-assisted development more intuitive and productive. Main Function Points - Visual Project Browser: Navigate through all your Claude Code projects - Session History: View and resume past coding sessions with full context - Custom AI Agents: Create specialized agents with custom system prompts and behaviors - Usage Analytics Dashboard: Monitor your Claude API usage and costs in real-time - MCP Server Management: Manage Model Context Protocol servers from a central UI - Timeline & Checkpoints: Create checkpoints at any point in your coding session and navigate through your session history - CLAUDE.md Management: Edit CLAUDE.md files directly within the app with live preview and syntax highlighting https://github.com/getAsterisk/claudia #ClaudiaUI #ClaudeCode #GUI #DesktopApp #AIAssistant #AICoding #VisualIDE #SessionManagement #UsageAnalytics #CustomAIagents #MCPserver #TimelineCheckpoints #CLAUDEmdfiles #OpenAI #CursorAI #GitHubCopilot #AIdevelopment #ProductivityTools

How l switched back to Augment Code from Claude Code ! Tried new Claude Code ... verdict: Worth every penny love the little to-do lists but hell lot expensive ! So what do l do l head back home to the loving arms of Augment Code ... still the best and always will be ! (For now 🤫 ... you know relationships nowadays) So this article exaplins why they are nota big fan of Model Pickers ... makes sense though would be great to have the ooption still !). Here is a low done on Augment code and its recent updates: Augment Code is considered a top AI coding agent due to its advanced context engine, which enables personalized and efficient code generation, and its seamless integration with popular IDEs. It also boasts features like memory persistence, which allows it to adapt to individual coding styles, and Multi-Context Programming (MCP) for connecting to various tools and systems, enhancing its utility in the development workflow. Here's a more detailed breakdown of why Augment Code stands out: 1. Contextual Awareness and Memory: Context Engine: Augment's Context Engine is a key differentiator. It analyzes the entire codebase in real-time, providing context-aware suggestions and code completions, leading to more accurate and relevant AI-driven code generation. Memory Persistence: The platform remembers your coding style and project patterns, ensuring that its suggestions are tailored to your preferences and codebase over time, improving efficiency and reducing errors. MCP (Multi-Context Programming): Augment Code goes beyond just the code by integrating with various tools and systems, such as Vercel, Cloudflare, and more, allowing it to gather more information, automate tasks, and even fix issues in live systems. 2. IDE Integration and Workflow: Seamless Integration: Unlike some AI coding tools that require a separate editor, Augment Code integrates directly with popular IDEs like VS Code, JetBrains, Vim, and GitHub, allowing developers to leverage its AI capabilities within their familiar environment. Code Checkpoints: Augment Code automatically tracks changes and creates checkpoints, enabling easy rollback and providing peace of mind when the agent tackles complex tasks. Remote Agent Functionality: Augment Code can operate in a separate container, allowing developers to work on code even when their main machine is off or unavailable, and even run multiple agents in parallel. 3. Advanced Features and Capabilities: Multi-Modal Support: Augment Code can handle various inputs, including screenshots and Figma files, making it helpful for implementing UI elements and debugging visual issues. Terminal Interaction: Beyond code editing, Augment Code can run terminal commands, streamlining tasks like installing dependencies or running dev servers. Auto Mode: For a more streamlined experience, Augment Code offers an Auto Mode, where it automatically applies suggested changes without requiring explicit confirmation for each action. 4. Focus on Collaboration and Productivity: Developer-Centric: Augment Code is designed to work alongside developers, enhancing their existing workflow rather than replacing it, making it a collaborative rather than a replacement tool. Time Savings: By automating tasks, providing accurate suggestions, and handling repetitive coding tasks, Augment Code frees up developers' time to focus on more complex and creative aspects of their work. Continuous Improvement: Through feedback loops and learning from user interactions, Augment Code continuously improves its performance and adapts to the evolving needs of developers. https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature #augmentcode #claude #aicodingagent #aicode #vscode #jetbrains #vim #github #ideintegration #codingtools #productivitytools #memorypersistence #contextengine #multicontextprogramming #vercel #cloudflare #codecheckpoints #remotework #multimodal #figma #terminalinteraction #automode #developercentric #aitools #aidesign #coding #softwaredevelopment #aitool

Autonomous Design Agent: Lovart Loveart is a revolutionary AI design agent that acts as a fully autonomous design team, capable of handling everything from brand strategy to 3D models and animations, all from a single text prompt. It essentially transforms the creative process, offering agencies and individuals a powerful tool that can analyze briefs, research references, make design decisions, and produce production-ready assets in a fraction of the time and cost of traditional methods. Lovart is described as the world's first fully autonomous design agent, an AI that functions as a 24/7 design team. It transforms prompts into visual content, from storyboards to brand visuals, using auto-design technology. An AI design agent generally assists in creating, editing, and managing visual projects leveraging artificial intelligence. LoveArt appears to offer a comprehensive design solution https://www.lovart.ai/

Tool: So agentic AI is officially in and here we have Assista AI, an AI-powered platform designed to boost productivity by automating tasks and streamlining workflows across various apps. It acts as a digital sidekick, connecting tools like Gmail, Slack, and Notion into a single dashboard and handling tasks such as email management, meeting note-taking, and file retrieval. Essentially, it aims to simplify your workday by automating repetitive tasks and integrating your frequently used apps. Took a while to locate with that .us domian but go ahead try it out ! https://www.assista.us/ https://www.producthunt.com/products/assista-ai #AssistaAI #ProductivityTools #AIAutomation #WorkflowAutomation #DigitalSidekick #Gmail #Slack #Notion #TaskAutomation #WebAppIntegration #AIAssistant #Zapier #IFTTT #Make

So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling