Building the Brains of the Future

Developers Reimagining AI Agents

Across industries, AI agents are quickly shifting from research experiments to operational tools, and a handful of developers are propelling this evolution. Microsoft highlights four innovators driving AI agent deployment into real-world applications—from automating tasks at work to streamlining medical decision-making. Jason Liu, founder of Cognosys, is creating AI tools that can act like software engineers by browsing documentation and generating code autonomously. Suhail Doshi’s Vibe.ai lets agents control browsers and perform tasks across the internet, driven by natural language. Meanwhile, Cory Zue’s SaaS AI template helps non-technical users spin up dedicated agents with no-code workflows, and Harish Narayanan at Hippocratic AI is using large language models to deliver safe, efficient healthcare support. These developers aren’t just coding tools—they’re redefining what it means to work with AI.

The Rise of Specialized AI Architectures

What sets these developers apart is their technical vision and willingness to push AI infrastructure toward greater autonomy. Liu’s Cognosys uses a “team of agents” approach, mimicking agile development teams to solve engineering tasks. Doshi’s agents mimic human web interactions, requiring a robust, browser-level understanding of both user intent and dynamic content. Zue focuses on modular, repeatable patterns that democratize access to AI—from solopreneurs to mid-size businesses. Narayanan, a former Meta and Google AI engineer, tailors LLMs specifically for healthcare, pushing for a future where digital clinicians can assist overburdened systems. Each initiative reveals a broader trend: AI agents are no longer passive tools—they’re becoming collaborative, context-aware