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Artificial intelligence is no longer experimental. It is infrastructural. The January 2025 McKinsey report, “Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential,” makes something unmistakably clear: AI’s greatest impact will not come from automation alone — it will come from amplifying human capability. That is precisely the foundation of autonomyx’s core philosophy:…

Executive Summary Artificial intelligence (AI) has entered a decisive phase in enterprise adoption. While nearly all organizations are increasing investment in generative AI, only a small fraction consider themselves mature in deployment. The challenge is no longer technological feasibility. The central barrier is leadership readiness. The January 2025 McKinsey report Superagency in the Workplace introduces…

1. Introduction: Escaping Pilot Purgatory The honeymoon phase of generative AI is over. For most enterprises, the struggle has shifted from marveling at “cool” prototypes to the grueling work of turning AI into a bottom-line reality. Moving a model from a sandbox to a spreadsheet requires more than just technical talent; it demands a structured…

Agent-First is a way of designing software and digital experiences where AI agents are the primary interface and decision-makers, rather than traditional apps, menus, or manual workflows. Think of it as moving from: 🧭 Simple Definition Agent-First = systems designed so intelligent agents perform tasks, coordinate tools, and make decisions on behalf of users. 🧠 What is…

Sim is an open-source platform designed to simplify the creation and deployment of AI agent workflows through an intuitive, visual interface. The software features a drag-and-drop canvas—often compared to design tools like Figma—which allows both developers and non-technical users to build complex logic using modular blocks and API integrations. It supports a vast ecosystem of over 100 applications, including popular services like GitHub, Slack, and various…

The current generation of agents often acts as jacks-of-all-trades that lack the specific procedural rigors required to perform “real work” with the precision of a human expert. “Agent Skills” is the industry’s answer to this maturity gap.

Agent-first means designing systems where AI agents are the default executors of work, capable of carrying tasks from intent to completion across tools and systems, under defined governance.