The "Self-Improving" AI Myth (And What 60 Production Deployments Actually Do)
Sixty production deployments converged on a three-layer architecture where the eval surface, not the base model, is the moat.
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Ananya ShahAI Strategist & Consultant · CartesianBeyond the Private Chatbot: Bringing AI to Collaborative Work
AI has reshaped individual productivity. We write, research, code, and ramp up faster than ever. But collaborative workflows haven't kept pace. Teams still run on pre-AI processes…
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Nirmal JingarAI Engineering Executive · WayfairAI as a Teammate: Driving Double-Digit Engineering Productivity Gains
AI is no longer just a tool for automation. It is becoming an active teammate in the software development lifecycle. By embedding AI into daily workflows, teams can reduce time…
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Michael R. SchulteAI Builder · Harvard Business SchoolThe Greenfield Delusion: Shipping AI Inside Real Organizations
Everyone can now build impressive AI demos in a weekend. Almost none of that work ever makes it into production at a real organization. This session walks through the three…
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Ray LiaoCofounder · InkboxTradeoffs and Learnings with AI Agent Self-Signups
As AI agents increasingly become first-class actors on the internet, every existing auth model breaks down, they all assume a logged-in human at the start of the flow, but agents…
Recap coming soon
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The AI Runtime Field Guide
A guided reading path through The AI Runtime for AI practitioners. The essential reads on AI engineering, Model Reliability Engineering, and vertical agents, in the order that builds real production intuition. Free download, no email required.
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The Agentic Architectures Checklist
A practitioner-grade checklist for agentic system design, identity, trust, tool access, eval coverage, observability, and the failure modes that take down production agents. Free PDF for subscribers.