H
Jun 10, 20263 min read
Human-Machine Interaction Needs a Movement Vocabulary
Embodied AI and robotics need more than trajectories and coordinates; they need movement design that humans can understand and trust.
AIProduct StrategyUX
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Insights, tutorials, and news from the world of software development.
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H
Jun 10, 20262 min read
Hybrid AI Architecture: Moving Beyond the LLM Wrapper
High-value AI needs language fluency plus structured knowledge, reasoning, confidence communication and governance.
AISoftware ArchitectureProduct Strategy
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Jun 10, 20263 min read
Interpretive Design Research for AI Products
AI products are meaning-heavy systems. Interpretive design research helps teams understand trust, agency and responsibility before they become adoption risks.
AIProduct StrategyUX Research
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Jun 10, 20263 min read
Just Sustainability Design for AI Product Teams
Responsible AI is not a compliance add-on; sustainability, justice, and long-term externalities belong in discovery, architecture, and delivery.
AIGovernanceSustainability
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Jun 10, 20263 min read
Knowledge Auditing as the Missing Layer in AI Implementation
Many AI projects fail between the model and the organization. Knowledge auditing checks data, processes and ownership before scaling.
AIKnowledge ManagementProduct Strategy
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Jun 10, 20263 min read
Live Coding, Software Studies, and the Future of Transparent AI Prototyping
Live coding reframes software as a visible process, offering AI teams ideas for transparent prototypes, shared debugging and stakeholder communication.
AIProduct StrategySoftware Architecture
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Jun 10, 20263 min read
Machine Learning Systems: The Architecture Layer Behind AI Value
AI value depends on system architecture across data, deployment, hardware, software frameworks, benchmarking, optimization and operations.
AISoftware ArchitectureMLOps
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Jun 10, 20262 min read
The Microeconomics of AI: A Consulting Framework for Use-Case Prioritization
AI creates value when cheaper prediction improves repeated business decisions under uncertainty. Use cases should be prioritized around decision loops, not model demos.
AIProduct StrategySoftware Architecture
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Jun 10, 20262 min read
Moral Code as a Product Principle: Building AI Tools That Do Not Diminish Users
AI tools should make people more capable, not more dependent. Agency, understanding and maintainability are product requirements.
AIProduct StrategyGovernance
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Jun 10, 20263 min read
Multi-Agent Reinforcement Learning and the Architecture of Coordinated AI
Multi-agent AI requires architecture for interaction, rewards, evaluation and deployment because agents learn in environments shaped by other agents.
AIReinforcement LearningSoftware Architecture
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Jun 10, 20262 min read
Network Culture as Infrastructure Strategy: What Tech Consultants Should Learn from History
Connectivity is not capability. AI platforms need topology, protocols, semantics, maintenance and failure design.
AISoftware ArchitectureProduct Strategy
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Jun 10, 20263 min read
Online Convex Optimization as a Blueprint for Adaptive AI Products
Adaptive AI products need more than static models. Online convex optimization offers a blueprint for learning from continuous feedback.
AIProduct StrategyOptimization
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