Applied AI
The MVP Approach to AI: Launching Your First Internal Agent for Enterprise Automation
The MVP approach to internal AI agents is a disciplined pattern for delivering a secure, measurable automation layer quickly.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Technical Advisory
The New Curriculum for Production-Grade Prompt Engineering and System Design
The New Curriculum for production-grade AI design delivers a practitioner-first program that blends prompt engineering discipline with distributed systems engineering.
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Applied AI
The New Factory Workforce: Training Technicians to Manage Agentic Systems
Factories are migrating from experimental GenAI pilots to production-grade agentic workflows. This article provides a practical, architecture-first blueprint.
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Applied AI
The North Star Metric for AI systems: Agentic Efficiency vs User Engagement
In production AI, choosing a North Star metric is a governance decision that aligns incentives across data teams, ML engineers, product managers, and operators.
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Applied AI
The PM's Guide to Agentic Design: Designing for Non-Human Users
In production AI, designing for non-human users means building interfaces and governance that enable agents to operate reliably, transparently, and within business boundaries.
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Applied AI
The Post-SaaS World: Building Headless Agentic Software for Enterprise Automation
In the Post-SaaS world, the real value lies in decoupling user-facing interfaces from the automation engines that plan, reason, and act across ecosystems.
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Applied AI
The PRD Auditor Agent in 2026: Enforcing governance across AI product lifecycles
In 2026, AI product programs must operate at production scale with rigorous governance, real-time visibility, and auditable decision traces.
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Applied AI
The Resilient Enterprise: Practical Agentic Workflows for Rapid Disruption Recovery
Agentic workflows are not a theoretical concept; they are a concrete framework that lets production systems observe, reason, and act during disruption.
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Technical Advisory
The Rise of General-Purpose Agents: Building an Enterprise Autonomy Layer
General-purpose agents are not a passing trend; they represent a production-ready architectural approach that merges perception, reasoning, planning, and action into durable workflows across data, models, and services.
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