Krane’s Post

Earlier this year, I did a post on the technology for IPD and PDB projects. And most people rolled their eyes because 99.9% of people will never work on a IPD or PDB project. Very few people will ever work on projects that range from 100M to 50B and that is okay. I think that the construction technology adoption will be driven by the middle market general contractors and specialty trades. Here is a rough definition of a middle market company. There are more than 10,000 middle market companies in the US that have between 50 and 500 employees. These companies sit below the ENR400 list. These GCs have less than 500M in revenue they typically do projects in the 50k to 30M range. These are regional companies that value their close nit culture and retain employees for years or decades. Projects at this range are simpler in nature. Most projects will be DBB or a negotiated GMP. 2D drawing still dominate this space and there are few 3D BIM models used. Some notable examples are O'Shea Builders, ANDRES Construction Services, and Shelco, LLC. These companies will be the main adopters of contech because they are at a scale where they need efficient software, want simplicity, and want a standard across all their projects. Some of the notable software categories that will be up for grabs are. 1. Estimating - Ediphi ZEBEL - Napkins To Numbers 2. Planning - Planera, Inc Outbuild Nialli Inc. Hoylu Touchplan inTakt lcmd Bosch RefinemySite Smartapp.com VisiLean Ltd Teamoty Touchplan 3. Supply chain - Krane 4. Work force management - Genda 5. Low code SOP - Quickbase 6. Reality Capture - Cupix FARO Technologies OpenSpace StructionSite (acquired by DroneDeploy) 7. White Boarding - Miro Mural 8. Project Management - Procore Technologies Fieldwire by Hilti Trello 9. AI meeting minutes - Cogram Otter.ai 10. Co-pilot AI - ChatGPT Perplexity Grok 11. 2D Coordination - Current Sets A company in the mid-market is seeking consistency, simplicity, and reliability. They do not have time to waste on fancy tech with an unclear ROI. They do not necessarily have a team technologically advanced enough for 3D or 4D modeling. The reason why this market will drive adoption and start-up growth is the sheer number of companies in this segment, over 10,000 scattered all across the US. I am very bullish on the "planning" market because I believe that there is enough meat for all of the companies listed above to do well. MS projects and P6 need to be replaced in this market and at this scale it is typically the superintendents that are ones doing the planning and running the project. Supply chain is especially critical in this market because the slim margins means that every delivery matters. Software tools for project management, estimating, workforce management, whiteboarding, reality capture, and AI all add a lot of value to this customer. #contech #innovation #leanconstruction

▶️ Discover Coredoc.ai: Your Intelligent Knowledge Base Solution Welcome to Coredoc.ai, where advanced artificial intelligence transforms document management to enhance your workflow. Our platform features an intuitive knowledge base management system that streamlines information retrieval and organization. With Coredoc.ai, you can leverage an AI-powered search function to quickly and accurately find documents, even within large repositories. This not only saves time but also reduces the frustration of manual searches for outdated information. Additionally, our system offers detailed analytics on document relationships within knowledge base graphs, helping organizations better understand their information flow, analyze anomalies, and improve decision-making with data-driven insights. ▶️ Features and Benefits - AI-Powered Search: Quickly find documents with precision, cutting down on time spent searching and increasing productivity. - Document Relation Analytics: Gain insights into your information flow, allowing for improved data-driven decision-making. - Tailored AI Assistance: A crew of AI agents that assist in tasks specific to your organization's knowledge base and needs, ensuring a personalized experience. ▶️ Use Cases Across Industries Imagine the possibilities with Coredoc.ai in an IT software company. Our platform can significantly cut down the time spent searching for code documentation and technical specifications. In project management, quickly retrieving relevant resources can streamline development processes and enhance team collaboration. IT teams can easily manage technical reports and user documentation, ensuring seamless access to crucial information when it's needed most. ▶️ Get Started Today Curious to learn more? Sign up for the Coredoc.ai waitlist or book a demo to see how our platform can revolutionize your document management processes. Experience the effortless integration of AI into your workflow and discover the benefits it can bring. ▶️ In Conclusion Coredoc.ai is not just a document management tool; it's a gateway to smarter, faster, and more accurate work processes. By bridging information silos and fostering seamless knowledge transfer, we help organizations save time, cut costs, and accelerate innovation. Secure your spot today and be part of the future of product development.

Introducing a production-grade Automated Prompt Engineering (APE) architecture that streamlines prompt engineering workflows and enhances the efficiency of agent-based systems by 3-6x. At the heart of the architecture is a Master Agent, designed to automatically generate system prompts for task-specific agents. Traditionally, creating effective prompts required manual input, which was not only time-consuming but prone to errors, particularly when handling complex, high-stakes tasks. This manual approach often led to inefficiencies, with teams needing to iterate over small adjustments to achieve the desired results. Our APE architecture addresses these issues by allowing the Master Agent to generate detailed and precise prompts autonomously. Here’s how it works: ⎆ User Request: The workflow starts with a user asking for a specific task (e.g., financial analysis or market research). ⎆ Master Agent: The agent receives the request and automatically breaks it down into actionable steps. These include providing context, defining the task, specifying output formats, setting constraints, and handling exceptions. ⎆ Task-Specific Agents: Once the system prompt is generated, it is passed to a specialized agent tailored to perform the requested task with high accuracy and efficiency. ⎆ Feedback Loop: If adjustments are needed based on the task results, the Master Agent can refine the prompt, ensuring continuous improvement. This architecture delivers several key benefits: ⎆ Efficiency: By automating prompt creation, it eliminates the need for manual iteration, saving valuable time and resources. ⎆ Scalability: It enables the deployment of thousands of agents, each with tailored system prompts, without human intervention. ⎆ Consistency: The automated process ensures that prompts are precise and consistent, leading to more reliable outputs across different tasks. The result is a highly scalable, production-grade AI agentic workflow that allows businesses to automate complex operations at scale while maintaining precision and consistency. Sign up now here to get the full code: https://swarms.xyz/ Like, repost, and follow for more tips and tricks on prompts, agents, and more!

A few months ago, I found myself frustrated with the recurring issues in product documentation: outdated information, inconsistencies, and missing requirements. The manual fixes were becoming a tedious routine. Around the same time, I stumbled upon an eye-opening Atlassian research report that revealed a staggering statistic: Fortune 500 companies alone waste 25 billion working hours due to collaboration, documentation, and knowledge sharing issues. https://lnkd.in/dxb9T-sy This revelation sparked an idea: Could these mundane yet critical tasks be automated? Perhaps with AI? Driven by curiosity, I began manually testing my hypothesis and building small workflows. To my excitement, the results were promising! Fast forward through months of hard work, interviews, pivots, and iterations, and here I am today. Our MVP platform is nearly complete and entering closed beta testing. While there's still much work ahead, the initial results are impressive, and I'm thrilled about the potential future of product development. Are you excited about improving product development and documentation? I'd love to have you on board! If you want to be a part of it, - Join to the waitlist on the https://coredoc.ai platform - Reach me here to schedule a demo Be Part of the Future 😉

Seamless Alignment: Bridging Projects & Production In industries like manufacturing and engineering, disconnects between project planning and production can derail timelines and inflate costs. Allex.ai tackles this challenge head-on, providing real-time insights, automation, and collaboration tools to align every phase—from strategy to execution. Streamline your workflow, avoid bottlenecks, and ensure efficiency with a unified approach. #Manufacturing #Engineering #ProjectManagement #AI #AllexAI #Innovation #ProductionEfficiency 🔗 Explore how Allex.ai bridges the project-production gap: https://lnkd.in/dQDXJ63b

“I’m a highly paid scribe, an information gatherer and compiler” - Project Engineer Two weeks ago, I interviewed a project engineer who’s working at a mid-sized construction company. They do about $50M - $100M per year in construction project value, based in San Diego. The project engineer’s responsibilities? Shadow their project manager with an iPad, take notes, and log everything in Procore. That’s it. Some of her daily workflows included moving around data into specific folders based on the conversation. And the project manager loves her for it. Oftentimes, the project manager would send her voice notes. Either stating what happened on-site or tasks that she needed her project engineer to follow up on. And it’s not an uncommon occurrence. The leadership team on site is used to recording voice notes, and having someone in the back office interpret it. If they don’t have someone to do that for them, then they’ll use those voice notes to do the work themselves. But isn’t that crazy? Having a $60,000 or $90,000 job for someone to walk around and take notes? Isn’t there another way for a project manager to take notes and delegate tasks? That’s what I’m building with Torque AI. A conversational AI that understands the nuance of construction, gives actionable insights, and streamlines workflows for field teams. That way people can get back to what people can do - build. If that sounds interesting to you, I’d love to chat with you. You can book some time with me below. Chat soon - https://lnkd.in/eWpZinR8

I want to introduce five useful AI tools for project management and planning TODAY  No.1 planner.ai Planner.ai is an intelligent virtual planning tool designed to help businesses streamline their project management and planning processes. It integrates AI to analyze data, automate scheduling tasks, and generate insights for better decision-making. The tool typically offers features such as real-time collaboration, resource allocation, task tracking, and reporting, making it easier for teams to stay organized and efficient.

Introducing a production-grade Automated Prompt Engineering (APE) architecture that streamlines prompt engineering workflows and enhances the efficiency of agent-based systems by 3-6x. At the heart of the architecture is a Master Agent, designed to automatically generate system prompts for task-specific agents. Traditionally, creating effective prompts required manual input, which was not only time-consuming but prone to errors, particularly when handling complex, high-stakes tasks. This manual approach often led to inefficiencies, with teams needing to iterate over small adjustments to achieve the desired results. Our APE architecture addresses these issues by allowing the Master Agent to generate detailed and precise prompts autonomously. Here’s how it works: ⎆ User Request: The workflow starts with a user asking for a specific task (e.g., financial analysis or market research). ⎆ Master Agent: The agent receives the request and automatically breaks it down into actionable steps. These include providing context, defining the task, specifying output formats, setting constraints, and handling exceptions. ⎆ Task-Specific Agents: Once the system prompt is generated, it is passed to a specialized agent tailored to perform the requested task with high accuracy and efficiency. ⎆ Feedback Loop: If adjustments are needed based on the task results, the Master Agent can refine the prompt, ensuring continuous improvement. This architecture delivers several key benefits: ⎆ Efficiency: By automating prompt creation, it eliminates the need for manual iteration, saving valuable time and resources. ⎆ Scalability: It enables the deployment of thousands of agents, each with tailored system prompts, without human intervention. ⎆ Consistency: The automated process ensures that prompts are precise and consistent, leading to more reliable outputs across different tasks. The result is a highly scalable, production-grade AI agentic workflow that allows businesses to automate complex operations at scale while maintaining precision and consistency. Sign up now here to get the full code: https://swarms.xyz/ Like, repost, and follow for more tips and tricks on prompts, agents, and more!

Learn about our Insightful Chat with Saber Belghith, CEO of Konnect 3D! Discover how Saber is transforming capital project execution with 4D virtual environments and AI. From overcoming industry challenges to shaping the future of project management, his vision is paving the way for innovation. #Leadership #Innovation #SaaS #ProjectManagement #AI #Konnect3D #BusinessInsights https://lnkd.in/gCyFGC3z

🚀 Exciting Announcement: Introducing "AgnaAegis" - Real-time Construction Dashboard 🚀 I'm thrilled to unveil my latest project, "AgnaAegis" - a Real-time Construction Dashboard designed to revolutionize project monitoring and management in the construction industry! 💼👷♂️ 🔍 Project Overview: "AgnaAegis" is the culmination of my exploration into the dynamic field of Data Science. It's a comprehensive platform aimed at providing intuitive insights and protection through analytics, inspired by the Hindu philosophy of 'Agna' and the Greek mythology of 'Aegis.' 🎯 Purpose: With "AgnaAegis," I set out to redefine how construction projects are monitored and managed, leveraging the power of data analytics and real-time insights. From project progress tracking to resource management, it's designed to empower contractors with actionable intelligence. 🌟 Key Features: Real-time Monitoring: Keep track of project progress, resource allocation, and performance metrics in real-time. Customizable Interface: Tailored to suit the specific needs of contractors, ensuring a user-friendly experience. Predictive Analytics: Unlock insights into future project outcomes with AI-powered predictive modeling. Brand Identity: Infused with elements symbolizing intuition, protection, and authority, reflecting the essence of "AgnaAegis." 🚧 Data Source: The platform utilizes mock data generated with ChatGPT, ensuring a tailored and realistic approach to construction project monitoring. 📊 Results and Future Prospects: The initial phase has yielded promising results, laying the foundation for future enhancements such as AI integration and market-driven customization options. 🔗 Demo Video: https://lnkd.in/ghxEKzsA I'm incredibly proud of the journey "AgnaAegis" has taken, and I'm eager to share more insights and developments with you all. Stay tuned for in-depth discussions on data flow diagrams, branding strategies, marketing initiatives, and more! Let's redefine the future of construction project management together. 💡