Why I’m (hopefully) never building another agent
Practical lessons from building AI agents at scale, from tool design and evals to UX, rollout strategy, and what’s next.
Real-world LLMOps: Two case studies in healthcare AI deployment
Two real-world healthcare LLMOps case studies: what worked, what broke, and the practical lessons for deploying LLMs safely in production.
Beyond chatbots: How to build agentic AI systems
AI is moving from chatbots to agents: systems that plan, use tools, and act autonomously. Why 2025 marks the real inflection point.
Building your agentic stack: A roadmap to real integration
Building an agentic AI stack is chaotic, but strong architecture and data foundations stay constant. Here’s what truly matters for long-term success.
6-figure secure AI solutions that deliver 7-figure ROI
95% of generative AI pilots are failing. Not because the technology is bad. But because leaders are starting in the wrong place.
The universal tool calling protocol for agentic AI
Discover UTCP: the open, flexible alternative to MCP. Build agentic AI that scales natively, securely, and without middleware overhead.
The implications of AGI: What comes after the era of LLMs
Explore how Google DeepMind’s breakthroughs in LLMs and AI safety are shaping the path toward true AGI.
How AI is revolutionizing healthcare: Personalized, predictive, and proactive medicine
Explore how AI is revolutionizing healthcare, from personalized treatments to smarter hearing aids, shaping the future of medicine.
Grammarly’s vision: Redefining the future of AI-powered communication
Discover how Grammarly’s AI-powered communication, personalization, and AI agents are reshaping the future of writing and collaboration.
Building state-of-the-art AI & delivering true value at the U.S. State Department
When you think of the most advanced, cutting-edge AI organizations in the world, does the U.S. State Department come to mind?