Perpetual’s Post

Micro Agent: An AI Agent that Writes and Fixes Code for You https://lnkd.in/dD7qwt2R Practical AI Solution: Micro Agent Developers often struggle with AI-generated code not working properly, leading to time-consuming debugging and refinement. Traditional tools provide some help but still require a lot of manual effort to perfect the code. Introducing Micro Agent Micro Agent is a new tool that automates code generation and refinement, removing the need for manual intervention in each iteration. It runs test scripts after each code generation attempt and modifies the code until it passes all tests or matches the design screenshot. Micro Agent supports different AI models like GPT-4 and GPT-3.5-turbo and integrates with Figma for visual matching, enhancing accuracy and efficiency. By automating the debugging and refinement process, Micro Agent helps developers achieve functional code more quickly and with less manual effort, making it a valuable asset for streamlining coding and testing workflows. Evolve Your Company with AI Use Micro Agent to stay competitive and redefine your work processes. Identify automation opportunities, define KPIs, select an AI solution, and implement gradually to leverage AI for business impact. AI Sales Bot Explore the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Connect with us at hello@itinai.com for AI KPI management advice and stay tuned on our Telegram t.me/itinainews or Twitter @itinaicom for continuous insights into leveraging AI. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom #MicroAgent #AIAutomation #AIcoding #AIdevelopment #DeveloperTools #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation

OpenDevin: An Artificial Intelligence Platform for the Development of Powerful AI Agents that Interact in Similar Ways to Those of a Human Developer https://lnkd.in/dXXf6XYe Practical Solutions and Value of OpenDevin: An AI Platform for Powerful AI Agents Overview Developing AI agents to perform tasks like writing code, interacting with command lines, and browsing the web is tough. OpenDevin provides practical solutions to overcome these challenges. Existing Methods and Limitations Current AI agent frameworks have limitations in tasks like safe code execution and web interactions, restricting their performance in complex operations. Introduction to OpenDevin OpenDevin is a comprehensive platform supporting the development of generalist and specialist AI agents, addressing the limitations of existing methods. It offers a powerful interaction mechanism, a sandboxed environment for safe code execution, and a built-in web browser for web-based tasks. Technical Implementation OpenDevin features a sandboxed operating system and web browser, enabling agents to perform tasks safely and efficiently. It includes an AgentSkills library for performing complex tasks and supports multi-agent collaboration. Evaluation and Performance OpenDevin’s agents demonstrated competitive performance across 15 benchmarks, including software engineering and web browsing tasks. Results highlight its effectiveness in handling diverse tasks and its potential as a generalist AI platform. Conclusion and Impact OpenDevin presents a significant advancement in the development and deployment of AI agents, providing a robust platform for future AI research and applications. AI Solutions for Business OpenDevin allows businesses to evolve and stay competitive by leveraging powerful AI agents. It offers practical advice for implementing AI solutions, defining KPIs, and managing AI for business outcomes. Connect with Us For AI KPI management advice and insights into leveraging AI, connect with us at hello@itinai.com or stay tuned on our Telegram @itinai or Twitter @itinaicom. Discover AI Sales Solutions Discover how AI can redefine sales processes and customer engagement. Explore solutions at itinai.com. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom #OpenDevin #AIAgents #AIPlatform #AIResearch #BusinessSolutions #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation

An AI themed extension to the discussion triggered from the post by Melissa Perri on design systems, yet LLMs and GenAI allow product elements to be defined, designed and delivered as reusable patterns, yet the experience within these to be for an 'audience of one". 9 great examples here from Connor Joyce which can help product managers/leaders with a starting point answer to that question from the c-suite/board; "how are we thinking of using AI in our customer and product experience?". Yet also good to think beyond this and how the jobs to be done can be disrupted in a way that reduces friction to a level where automation is the primary state for customers and business, as the great at NOAN are doing with their amazing product suite for brand marketing and all the associated assets/campaigns ... changing the landscape for SMEs and brand marketers alike, not just augmenting it. Everything is a pattern at the end of the day, and building a growth mindset within your teams to innovate in a way that defines these new patterns will allow you to become a frugal product manager/owner. #AI #productmanagement #designpatterns #customercentricity #jtbd

Ten Wild Examples of Llama 3.1 Use Cases https://lnkd.in/dt6Uv5XQ Practical Solutions and Value of Llama 3.1 AI Model 1. Efficient Task Automation: Llama 3.1 405B can train smaller models to perform tasks perfectly, reducing costs and latency. 2. Personal Phone Assistant: Turn Llama 3.1 into a phone assistant for quick and accurate responses to queries, making daily tasks more manageable. 3. Local Deployment of Chatbots: Build and deploy chatbots that learn from user interactions in under ten minutes, creating personalized conversational agents. 4. Distributed AI Clusters: Distribute Llama 3.1 405B across multiple devices for efficient home AI clusters, showcasing scalability and flexibility. 5. Streamlit App Integration: Create a Streamlit app to chat with Llama 3.1 8B locally with minimal code, making advanced AI accessible to non-experts. 6. Private AI Assistant: Run Llama 3.1 405B on multiple devices to access top-tier AI capabilities without relying on external cloud services. 7. Groq API for Fast Responses: Utilize Groq’s API for rapid image and response generation, suitable for customer service and creative design applications. 8. Educational Tools: Utilize Llama 3.1 for personalized tutoring and student assistance, making education more engaging and effective. 9. AI-Powered Creativity: Leverage Llama 3.1’s ability to dynamically generate images and creative content for digital art and multimedia production. 10. Open-Source Innovation: Llama 3.1 405B encourages open accessibility, leading to breakthroughs in AI applications previously constrained by closed models. These examples illustrate the diverse and transformative potential of Llama 3.1, a model that competes with and surpasses many of its closed-source counterparts. Llama 3.1’s adaptability and power make it a remarkable tool for many applications, from personal assistants to distributed AI clusters. AI Solutions for Your Company Discover how AI can redefine your way of work and sales processes. Identify automation opportunities, define KPIs, select an AI solution, and implement gradually. For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram or Twitter. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom #AI #Llama3.1 #Automation #Chatbots #AIinBusiness #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation

Building a chatbot? Don’t start coding yet! Too often, teams rush into development, only to realise their chatbot misses user expectations. Here’s the truth: Requirement gathering and workflow charts are non-negotiable. Imagine you're developing a customer support chatbot for an e-commerce platform. Without understanding user needs, you might prioritise product inquiries. Later, you find that users actually want order tracking, refunds, and delivery updates. Requirement gathering highlights these needs upfront giving your bot a solid foundation. Next the workflow chart—your chatbot’s roadmap. Let’s take order tracking as an example: -> User enters an order ID. -> Bot verifies details. -> Bot displays the status. -> Bot offers further assistance. It’s like a GPS for chatbot interactions—eliminating guesswork and avoiding detours. Remember, plan first, code later—it’s the smarter way to build. What challenges have you faced while building chatbots? Let’s discuss! #chatbotdevelopment #AI #requirementgathering #workflowdesign #promptengineering #voiceflow #openai

Llama-Agents: A New Open-Source AI Framework that Simplifies the Creation, Iteration, and Deployment of Multi-Agent AI Systems https://lnkd.in/d-84BJAy Introducing Llama-Agents Llama-Agents offers a practical and effective solution for managing multi-agent AI systems. Its distributed architecture, standardized communication, and flexible orchestration make it a valuable tool for developers looking to deploy robust and scalable AI systems. By simplifying the creation, iteration, and deployment of agents, Llama-Agents helps overcome the challenges of multi-agent system management, enabling more efficient and reliable AI solutions. Key Features - Distributed Architecture: Each agent functions independently as a microservice, enhancing modularity and scalability. - Standardized Communication: The central control plane facilitates seamless interaction between agents, ensuring efficient task assignment and management. - Flexible Orchestration: Users can define explicit task flows or leverage a smart orchestrator to manage tasks dynamically. - Easy Deployment: The framework allows for effortless launching, scaling, and monitoring of agents, suitable for both small-scale and large-scale applications. - Scalable Performance: Built-in observability tools enable users to monitor system and agent performance for optimal operation. Value Proposition If you want to evolve your company with AI, stay competitive, and use Llama-Agents to simplify the creation, iteration, and deployment of multi-agent AI systems. Discover how AI can redefine your way of work, redefine your sales processes, and customer engagement. Explore solutions at itinai.com. List of Useful Links: - AI Lab in Telegram @itinai – free consultation - Twitter – @itinaicom #LlamaAgents #AI #MultiAgent #Deployment #Itinai #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation

Product development has finally been upgraded by AI. Miro just released Intelligent Canvas, a new AI-powered way for teams to ideate, iterate, and deliver faster. It combines advanced AI capabilities, powerful custom workflow, and live data integrations. Here are some of the new features: ▸ Intelligent Widgets: Automates voting, polling, and task estimation; speeds up decision-making processes. ▸ Timeline Widget: Streamlines task scheduling and tracking; enhances project management efficiency. ▸ Layers: Simplifies content management; allows quick adjustments and better organization. ▸ Create with AI: Generates visual content and textual material automatically; reduces manual creation time. ▸ Docs: Converts visual board elements into formatted documents; aids in faster documentation. Learn more here: https://lnkd.in/dE2WY8rJ

Recently, Itamar Gilad wrote an interesting article about the intersection of #AI and #product development, particularly focusing on the emergence of #GenAI and its implications. Obviously, it is revolutionizing the way products are built, offering the promise of increased efficiency and productivity (code generation or UI design, among others) and reduced costs. However, the article also raises important concerns about the potential drawbacks of relying too heavily on GenAI for product development. This approach may lead to a decline in critical thinking, contextual understanding, and creativity within product teams. By automating some tasks that traditionally require human input and judgment, there is a risk of undermining the collaborative and iterative nature of product development, potentially resulting in lower quality products. In conclusion, a balanced approach is needed to deploy GenAI in product development: increasing productivity is a good output, but also preserving human creativity, problem solving, and critical thinking alongside technological advancements as well as taking the long-term implications for organizational culture into account.

🚀AI in Digital Product Development: Shaping the Future In the dynamic world of digital product development, staying ahead of the curve is essential. Artificial Intelligence (AI) is revolutionizing the way we create, innovate, and deliver digital products. Here's how AI is making a transformative impact: 1. Rapid Prototyping: AI accelerates the prototyping process, allowing for quick iterations and faster feedback loops. For example, using AI-driven design tools like Figma and Sketch, companies like Airbnb have dramatically reduced the time it takes to create and test new interface designs.💡 2. User Experience Enhancement: AI analyzes user behavior and preferences to create personalized and intuitive user experiences. Netflix uses AI-powered recommendation systems to suggest shows and movies tailored to individual viewing habits, enhancing overall satisfaction and engagement.📺 3. Predictive Analytics: By leveraging historical data, AI can predict market trends and consumer needs. Amazon utilizes AI through tools like AWS Machine Learning to forecast demand for products, enabling effective inventory management and reducing stockouts.📊 4. Automation of Tasks: AI automates repetitive and time-consuming tasks, freeing up developers to focus on creative and strategic aspects of product development. Chatbots like Dialogflow used by Sephora automate customer support, allowing human agents to tackle more complex inquiries.🤖 5. Quality Assurance: AI-driven testing tools ensure high-quality product releases by identifying bugs and issues early in the development process. Google employs AI tools like TensorFlow to continuously test their software, catching errors before they impact users.🛠️ Integrating AI into digital product development is not just an option—it's a necessity for driving innovation and staying competitive. Let's harness the power of AI to create the next generation of digital products! 🌟 #AI #DigitalProductDevelopment #Innovation #TechRevolution #cloudartsolutions

How to Set Up a Business Chatbot Using Free AI Tools (5-Minute Chatbot Setup) 1. Define Your Chatbot's Purpose →Define your chatbot's goals before starting — Answer FAQs? — Capture leads and schedule appointments? — Provide basic customer support? — Entertain and engage users? == 2. Choose Your Platform — Chatfuel — ManyChat — Dialog Flow — Microsoft Bot Framework — Rasa == 3. Set Up Your Development  — Let's use Dialogflow as it is beginner-friendly — Create a Google Account and log in — Create a New Agent, set language and time zone, and design Intents and Responses == 4. Design Intents and Responses — Introduce your chatbot and its purpose — Set keywords that activate specific responses — Create pre-written responses for the chatbot to deliver — Design decision points based on user input == 5. Test Your Chatbot — Enter messages in the simulator to see how your chatbot responds — Adjust intents and responses based on the feedback and accuracy == 6. Integrate Your Chatbot — Visit "Integrations" — Enable "Web Demo" integration — Copy embed code — Add to website HTML — Follow Dialogflow instructions for platforms == 7. Enhance Your Chatbot — Define data extraction entities — Use webhooks for dynamic responses — Add rich media for engaging interactions Need help setting up your first chatbot? Ask me anything!! #ai #customerservice #digitalmarketing #startups #customerrelations