automation
automation on Beyond Market Intelligence: a running collection of 163 stories we have gathered and hand-picked because they are worth your time. Every post here touches on automation in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around automation, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Excel + Power Query and Power Automate
Automating data refresh between Salesforce, Power Query, and Excel unlocks significant productivity gains. You've correctly identified that `workbook.refreshAllDataConnections()` within an Office Script can trigger Power Query refreshes, as demonstrated by your pivot table update. To reliably refresh data imported via Power Query using Power Automate, ensure your Excel table’s properties are configured to “Refresh data when opening the file,” disabling background refresh. This forces a refresh upon script execution.
Creating groups based on priorities
Here's a concise introduction, adhering to the brand voice guidelines and incorporating the requested elements: "Organizing students into activity groups based on their priorities presents a common challenge—and a prime opportunity for automation. As one educator discovered while planning their annual theme-week, manual team creation can be time-consuming and potentially less optimal. Leveraging AI-native spreadsheet technology allows for a more efficient and equitable distribution, particularly when activities have varying group size constraints.
Cognition CEO denies report that SpaceX tried to acquire the startup
Reports of SpaceX’s acquisition attempt of AI coding startup Cognition have been categorically denied by Cognition CEO, Navneet Alang. While SpaceX has demonstrably accelerated its presence in the AI space with the acquisition of Cursor, this purported deal appears unfounded. The move highlights the intensifying competition among tech giants—including OpenAI and Anthropic—to secure leadership in enterprise AI. For further context on the evolving AI landscape and privacy considerations, explore our recent article, "OpenAI seeks to one-up Anthropic with new customer privacy protections."
We got tired of trying 10 ML models every time we had a new dataset [P]
Tired of the iterative grind of testing multiple machine learning models for each new dataset? We were too. That’s why we built Arcliq (https://arcliq.app), a platform designed to streamline your ML workflow. Simply upload your tabular data, and Arcliq automatically handles preprocessing, trains and compares various models, and delivers the best-performing solution. Our goal is to empower users – regardless of expertise – to rapidly move from data to working model.
Nobody Laid Out The Five Kinds Of Software You Can Make. So I Did.
The landscape of software creation is surprisingly diverse. While many assume limited options, we’ve identified five distinct categories of software you can build, ranging from utility tools to complex AI applications. Understanding these classifications is crucial for strategic development and resource allocation. This guide clarifies those categories, demystifying the possibilities and empowering you to choose the right path. For a deeper dive into the infrastructure supporting these advancements, explore our article on Relativity Networks and their innovative fiber technology.
5 Tools for Building and Deploying AI Agents in Production
Navigating the complexities of AI agent deployment can be streamlined with the right tools. This article provides a concise overview of five essential tools, each addressing a critical layer in the agent development stack—from core logic construction to scalable runtime environments. We’ll explore options designed to empower your data journey, ensuring a smooth transition from concept to production. For a deeper look at the foundational importance of data in AI success, see our related piece, "AI isn’t close to curing cancer.
Building Enterprise Agent Systems that People can Trust, Verify and Improve
Successfully deploying AI agents within enterprises demands a focus beyond initial promise. Our latest article, "Building Enterprise Agent Systems that People can Trust, Verify and Improve," outlines five critical principles distilled from experience building a system for a $100M+ company. These principles ensure agent reliability and usability in production environments. We rank these principles by impact, offering practical guidance for avoiding common pitfalls.
Codewindow | Picture in Picture for Terminal Agents
Codewindow | Picture in Picture empowers terminal agents with a streamlined visual interface. This innovative feature allows agents to display content—from data visualizations to web previews—directly within the terminal, enhancing workflow efficiency and situational awareness. Forget cumbersome window switching; Codewindow brings critical information to your fingertips. Explore how this capability transforms agent interactions and unlocks new possibilities for automation. For a broader perspective on autonomous AI agents, see our article "SpaceXAI Launches Grok Bot for Autonomous AI Agents."
Warp’s new system is an out-of-the-box software factory for AI development
Warp today introduced Warp Factories, a new infrastructure system simplifying the creation of AI software factories. This out-of-the-box solution empowers developers to rapidly build and deploy AI applications, addressing the growing complexity of modern AI development. Warp Factories represent a future-focused approach to data management, streamlining workflows and accelerating innovation. For those interested in the evolving landscape of AI coding, consider our recent analysis of "5 Things Vibe Coding Gets Right and 5 Things It Gets Wrong" for deeper insights.
SpaceXAI Launches Grok Bot for Autonomous AI Agents
SpaceXAI is pioneering a new era of AI autonomy with the launch of Grok Bot. This system comprises persistent AI agents operating on dedicated cloud infrastructure, granting them the ability to interact seamlessly with websites, applications, and inboxes. Grok Bot represents a significant step toward truly autonomous workflows, moving beyond traditional limitations. For deeper insights into the challenges and solutions surrounding agentic traffic, explore our article, "Three Generations of Autoscaling." SpaceXAI continues to redefine the future of AI-driven productivity.
Webwright: Why AI Web Agents Should Write Code, Not Click
For years, web agents have struggled with complex, long-horizon tasks, relying on a sequential click-by-click approach. Microsoft Research’s Webwright offers a transformative alternative: empowering AI models to write code directly. This shift, granting the model a terminal, yields impressive results, boosting success rates from 33.5% to 60.1% on challenging tasks. Unlike traditional agents that leave behind only a click trace, Webwright produces reusable command-line tools.
Cloudflare Turns CI Pipelines into TypeScript Workflows
Cloudflare introduces cloudflare/ci, a novel CI SDK enabling developers to define pipelines directly in TypeScript using Cloudflare Workflows. This innovative approach delivers durable retries and replay capabilities, alongside concurrent steps and snapshot caching within the Workers runtime. While dependent on Artifacts (currently in private beta), the core takeaway is the durable-step model—a significant advancement in workflow reliability.
How to Perform Effective Project Management with AI
Software engineers, reclaim your time and elevate your project management. This post explores how Large Language Models (LLMs) can transform your workflow, moving beyond traditional spreadsheet limitations. Discover actionable strategies to leverage AI for task prioritization, progress tracking, and risk mitigation—ultimately boosting productivity and reducing burnout. We'll examine practical applications and demonstrate how to integrate AI tools seamlessly into your existing processes. For a deeper dive into the complexities of autonomous agents and capacity planning, see our related article, "Three Generations of Autoscaling."
Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents
Grab has demonstrably transformed its analytics workflows with AI agents, achieving a significant 30% reduction in mechanical analyst work since February – a 44% decrease. This progress stems from a powerful combination of agent autonomy, certified data, contextual awareness, and crucial human oversight. Self-service analytics are increasingly handling routine metric, data, and SQL requests, freeing analysts for higher-value tasks. Interested in the underlying architectural principles? Explore "Agentic Fitness Functions" for a deeper dive into extending evolutionary architecture.
5 Python Libraries That Make Data Cleaning More Enjoyable
Data cleaning doesn’t have to be a chore. This article introduces five Python libraries designed to transform tedious data preparation into an expressive and genuinely enjoyable process. We've compiled a list of tools that empower you to streamline workflows and unlock deeper insights from your data. Discover how these libraries can simplify complex tasks and accelerate your analysis. For those working with image classification, you might find our accompanying dataset, "Starfield Fauna," a valuable resource for practical application.
Stop overthinking which AI to use. Do this.
Stop second-guessing which AI tool to leverage. The landscape is vast, and choosing can feel overwhelming. Our solution streamlines this process, empowering you to focus on results, not experimentation. We offer a curated, integrated environment designed to optimize your workflows and unlock data insights efficiently. Explore a future where AI selection is seamless—discover how to transform your productivity today. For deeper context on navigating the evolving AI landscape, see our recent article, "Why people aren’t buying Mark Zuckerberg’s AI future."
Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming
The landscape of mathematical experimentation is rapidly evolving, driven by the power of human-machine collaboration. Recent breakthroughs demonstrate this potential: two significant open problems—exact-arithmetic checking and the development of a proof assistant—were tackled and advanced over a single weekend through this synergistic approach. This signals a future where AI tools significantly accelerate research. For those seeking to leverage AI assistance directly, explore "How to Install Codex CLI: A Step-by-Step Guide" to begin your journey.
How to Install Codex CLI: A Step-by-Step Guide
Unlock the power of Codex AI directly within your development environment. If you’re already familiar with Codex in ChatGPT, the CLI will feel intuitive, allowing seamless integration with your repository, shell, and testing tools. Installation is remarkably simple – a single command gets you started. However, carefully reviewing the subsequent setup choices is crucial for optimal performance. Explore the full installation process in our step-by-step guide, and consider “I'm looking to pull text from schematics…” for related insights.
Looking to see if it is possible to create a formula to show my account number
Navigating complex data extraction in Excel can be challenging. This user is seeking a formula to automatically populate account numbers from intermittently listed cells, specifically targeting the middle six digits. While a simple drag-down formula works for consistent data, recognizing account number changes across rows presents a hurdle. Explore innovative solutions to streamline your spreadsheet workflows; similar challenges in data visualization are addressed in our article, "Struggling with creating a stack? bar? chart." Discover how to empower your data journey and eliminate manual work.
I'm looking to pull text from schematics and put the into an excel spreadsheet to create a wiring checklist.
Extracting cable IDs from wiring schematics—a common challenge—can be streamlined for creating efficient wiring checklists. You’re already utilizing Kofax Power PDF, a solid starting point. However, refining your extraction process beyond the "Looks Like" feature is key. Focus on leveraging pattern recognition to isolate those specific 5-digit or "5-digit-C" identifiers. For further exploration of data visualization related to your extracted data, consider our article "Struggling with creating a stack? bar? chart," which addresses similar data arrangement challenges.
Creating an “app” for my work
You're envisioning a powerful solution: transforming your Excel inspection reports into a mobile-accessible tool for field employees. Consolidating those seven reports into a single, interconnected workbook is a smart first step toward creating a custom reporting system—effectively, your own "app." This approach empowers your team while avoiding costly subscription fees. To achieve this, focus on structuring your workbook for seamless data flow and accessibility.
Link QR code to a specific cell?
Linking a QR code directly to a specific cell in a spreadsheet—a surprisingly practical need for taxonomists and others—is indeed possible, though often perceived as requiring expensive software. Fortunately, accessible solutions exist. You can leverage scripting or add-ons within spreadsheet platforms to create this functionality. Essentially, the QR code would trigger a URL that, when scanned, automatically opens your spreadsheet and highlights the designated cell, ready for data entry.
Is it possible to automate data input from multiple workbooks
Absolutely! Automating data input across multiple workbooks is a common challenge, and thankfully, a solvable one. You're right to question the manual process – reclaiming those hours is a worthwhile investment. Our platform empowers you to streamline this workflow, extracting the specific data points (min/max from Column A, max from Column B, filtered Column C) directly from incoming files. Discover how to build a future-focused solution that automatically populates your review workbook, saving time and ensuring data consistency.
How to append sheet titles to table names automatically, and fill them into formulas
Streamline your spreadsheet workflows with an innovative approach to dynamic table and formula referencing. This technique automatically appends sheet titles (like "Jan" or "Mar") to table names, ensuring consistent and adaptable formulas across multiple sheets—ideal for tracking monthly and annual data. Discover how this method simplifies referencing in summary sheets, allowing a single formula to update across entire tables. As explored in "Creating an ‘app’ for my work," automating these connections minimizes manual adjustments and maximizes efficiency.