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The Innovator

Ready Tensor, Inc. is a trailblazer in the AI and machine learning space, providing an essential platform for showcasing cutting-edge AI projects and fostering a vibrant community of creators and experts. With their proactive promotion of certifications, competitions, and educational content, they position themselves as catalysts for growth in the AI ecosystem. They thrive on empowering users to build, share, and elevate their AI innovations.

Impressions
96.1k-5.7k
$18.02
Likes
47-10
35%
Retweets
8-2
6%
Replies
1
1%
Bookmarks
80-2
59%

Ready Tensor’s profile is like that one friend who throws epic AI parties but never invites enough people — you’ve got the tech genius, the killer content, and all the right moves, but you forgot to send the invites far and wide. Time to stop lurking in the shadows and start broadcasting that AI brilliance louder!

Successfully running the Agentic AI Developer Certification Program and organizing the global CV Expo 2024, which provides developers worldwide a platform to showcase innovations and win cash prizes, highlights Ready Tensor’s commitment to community-building and industry leadership.

To accelerate the development and adoption of advanced AI technologies by creating accessible pathways for learning, collaboration, and recognition within the AI community. Ready Tensor aims to be the launchpad where both novices and veterans can transform ideas into impactful, real-world AI applications.

They believe in the power of open collaboration and continuous learning, advocating that building and sharing projects openly drives innovation. They hold that accessible education and community support are key to advancing AI technology and empowering the next generation of AI developers. Transparency, knowledge-sharing, and practical application are core to their philosophy.

Ready Tensor’s strengths lie in their deep expertise in AI technologies, especially agentic AI systems, and their ability to break down complex concepts into actionable learning modules. Their multi-faceted approach, combining education, competitions, and community engagement, makes them a hub for serious AI talent development.

At times, their content complexity and technical depth might intimidate newcomers or casual followers, possibly limiting viral reach or mass appeal. Their follower base seems under-leveraged relative to their prolific content output and niche authority.

To grow their audience on X, Ready Tensor should leverage bite-sized, engaging content formats like short explainer videos, infographics, and quick AI tips that appeal to both beginners and experts. Engaging more directly with followers via replies and threads, and collaborating with influential AI educators and thought leaders, can significantly boost visibility and community loyalty.

Fun fact: Despite tweeting over 700 times, Ready Tensor keeps its follower count mysterious — but their dedication to building an engaged AI community shines through in their consistent, high-value content and interactive programs.

Top tweets of Ready Tensor, Inc.

We just wrapped up Module 2 of the 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺! This module focused on agent architectures, multi-agent collaboration, tool use, the Model Context Protocol, and how to evaluate agentic systems in real-world settings. Here are the lessons we covered - all freely available. 𝗠𝗼𝗱𝘂𝗹𝗲 𝟮 - 𝗪𝗲𝗲𝗸 𝟭: 𝗙𝗿𝗼𝗺 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝘁𝗼 𝗮𝗴𝗲𝗻𝘁𝘀 - From Workflows to Agents: When Predictable Paths Aren't Enough - app.readytensor.ai/publications/N… - Building Agentic Systems at Scale: An Introduction to LangGraph - app.readytensor.ai/publications/J… - Your First LangGraph Project: Building a Joke Bot - app.readytensor.ai/publications/T… - Agentic AI With LangGraph: Building a Writer–Critic Loop - app.readytensor.ai/publications/z… - Inside the Mind of an Agent: Observability with LangSmith - app.readytensor.ai/publications/X… - Beyond Conversation: Giving Your AI Agent the Power of Tools - app.readytensor.ai/publications/h… - Custom Tools, Custom Powers: Extending Your Agent’s Capabilities - app.readytensor.ai/publications/p… 𝗠𝗼𝗱𝘂𝗹𝗲 𝟮 - 𝗪𝗲𝗲𝗸 𝟮: 𝗠𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗱𝗲𝘀𝗶𝗴𝗻 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗮𝗻𝗱 𝗠𝗖𝗣 - Architecting Intelligence: Design Patterns for Multi-Agent AI Systems - app.readytensor.ai/publications/S… - From Idea to Architecture: Defining Our Agentic Authoring Assistant - app.readytensor.ai/publications/G… - From Architecture to Implementation: Building the Tag Extraction - app.readytensor.ai/publications/D… - Building the Dream Team: Designing the Right Agents for the Job - app.readytensor.ai/publications/q… - Orchestrating Intelligence: Designing Agentic Systems That Actually Work - app.readytensor.ai/publications/r… - MCP: A Standard Way for AI to Use External Tools - app.readytensor.ai/publications/L… - MCP in Action: Connecting and Creating Real AI Integrations - app.readytensor.ai/publications/3… 𝗠𝗼𝗱𝘂𝗹𝗲 𝟮 - 𝗪𝗲𝗲𝗸 𝟯: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 - Evaluating Agentic AI: Beyond Traditional Testing - app.readytensor.ai/publications/F… - The Evaluation Toolkit: Methods for Testing Agentic AI - app.readytensor.ai/publications/l… - Your System, Your Metrics: A Practical Guide to Agentic Evaluation - app.readytensor.ai/publications/6… - How to Evaluate LLM Applications: A Complete RAGAS Tutorial - app.readytensor.ai/publications/F… - How to Evaluate LLM Applications: A Complete DeepEval Tutorial - app.readytensor.ai/publications/6… - Evaluating Multi-Agent AI Systems: A Comprehensive Case Study - app.readytensor.ai/publications/t… Enjoy! #buildinginpublic #AI

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Properly Orchestrating Your Agentic AI Systems Building capable agents is only half the battle. The real challenge  and often the source of silent failure lies in getting those agents to work together consistently, coherently, and reliably. One of the most common issues in Agentic AI systems is when everything runs successfully, yet the final output feels fragmented. That’s because there’s no coordination layer. Each agent optimizes for its own goal, working independently, with no shared context or awareness of the bigger picture. We explored this challenge through our Agentic Authoring Assistant (A3) , a system that generates titles, tags, TL;DRs, and references. Each component performs well individually. But when combined, something feels off. The title might focus on one theme, the tags highlight another, and the summary blends them both ,leaving the output feeling disjointed. To solve this, we compared three system design approaches: Simple Chaining – Easy to prototype but leads to disconnected outputs. Chaining with a Reviewer – Helps spot issues but often reprocesses the whole pipeline unnecessarily. Coordinated Multi-Agent System – Our chosen approach. Agents receive shared context up front, run in parallel, and receive targeted feedback when needed. This results in better alignment, modular repairs, and scalable quality. Ultimately, designing agentic systems isn’t just about building smart components, it’s about architecting collaboration. Every part of the system must contribute to a unified, high-quality result. 🔍 See the full lesson to explore how we made the A3 system more consistent and resilient in practice. 👉 app.readytensor.ai/publications/o… #buildinginpublic

108

🎉 Congratulations to all learners in ReadyTensor's Agentic AI program — You’ve Completed Module 2! 🚀 You’ve spent the past few weeks diving deep into Multi-Agent Systems, learning how to design them, evaluate them, and get them talking to each other. From orchestration frameworks like LangChain,  LangGraph, CrewAI, and AutoGen, you’ve covered a lot. That’s a wrap for Module 2 of the AAIDC program! It’s time to take everything you’ve learned and put it into action. Now it’s your turn to design and implement a Multi-Agent System that solves a real-world problem, something functional, modular, and collaborative. 📋 What Your Project Should Include: ✅ At least 3 agents working collaboratively ✅ Use of a recognized orchestration framework ✅ Integration of 3+ tools that extend agent capability (API calls, file tools, math modules, etc.) ✅ Clear documentation, clean code, and secure handling of .env files ✅ A Ready Tensor publication with your GitHub repo  and an optional video demo if you’d like to show off your system in action There are multiple submission windows , your project will be reviewed in the cohort that matches your submission date. ✅ Submission Checklist: -Publish on Ready Tensor via the team lead’s profile -Add the tag: AAIDC-M2 -Include all teammates as co-authors - Link your GitHub repo with clean, runnable, well-documented code - (Optional, but highly recommended) Add a short video walkthrough to make your project even more engaging. 📚 For full details, examples, and rubrics, check out the official submission guide here: 👉 app.readytensor.ai/publications/p… Need help? The Ready Tensor team is always around on Discord to support you. 👨🏽‍💻👩🏽‍💻 discord.gg/YhdE2dZP We can’t wait to see what you build💡 #buildinpublic

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🎉  New Year, New Chapter! Welcome to 2025, a year of innovation and growth! At readytensor.ai we’re geared up  to continue empowering AI professionals to share their knowledge, collaborate, and push the boundaries of what’s possible in AI. This year, we’re diving into all things AI, and we want to hear from YOU! What AI trends are YOU most excited about in 2025? About ReadyTensor: ReadyTensor is a trusted platform that enables AI professionals worldwide to showcase their projects, innovations, and insights. Our publication hub is where AI developers, researchers, and teams collaborate, share their knowledge, and contribute to advancing AI in a responsible and accessible way. Through collective growth, we’re working to create a positive impact on the AI community and the world at large. Together, we’re accelerating the future of AI! #AI  #AITrends #Innovation #NewYear  #AICommunity

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Most engaged tweets of Ready Tensor, Inc.

🎉  New Year, New Chapter! Welcome to 2025, a year of innovation and growth! At readytensor.ai we’re geared up  to continue empowering AI professionals to share their knowledge, collaborate, and push the boundaries of what’s possible in AI. This year, we’re diving into all things AI, and we want to hear from YOU! What AI trends are YOU most excited about in 2025? About ReadyTensor: ReadyTensor is a trusted platform that enables AI professionals worldwide to showcase their projects, innovations, and insights. Our publication hub is where AI developers, researchers, and teams collaborate, share their knowledge, and contribute to advancing AI in a responsible and accessible way. Through collective growth, we’re working to create a positive impact on the AI community and the world at large. Together, we’re accelerating the future of AI! #AI  #AITrends #Innovation #NewYear  #AICommunity

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Reposted @AndrewYNg

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Alibaba just dropped R1-Omni Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning t.co/vO6UArJP

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AI performance relies on a lot of factors, and hardware choices are key. In collaboration with @ready_tensor, we explored…

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