Qualitative & Quantitative Research, In-depth Interview, Focus Groups, User Survey, Ethnographic Studies, Co-design Workshop, Statistical Analysis, Thematic Analysis.
Contextual Inquiry, Competitive Analysis, Opportunity Recognition, Requirement Elicitation, Journey Mapping, Personas, User Stories, Rapid Prototyping, Usability Evaluation, Stakeholder Management.
Prompt Engineering, Harness Engineering, RAG Pipelines, Agentic Workflows, MCP Integration, Agent Skills, Multimedia Generative AI, Data Synthesis, Predictive Modeling, Automated Insights.
The AI engineering pipelines you're racing to build are being absorbed by the models themselves. Sometimes moving slow costs you nothing.
Argument →When I started consulting, my agent argued me out of every flagship-sized idea I had. It was right. That changed how I work.
Opinion →DeepSeek V4 Flash and Kimi K3 nearly match the closed frontier, and small open models run on a laptop. It's time to stop renting your AI by default.
Opinion →Most 'we need AI' requests dissolve the moment you ask why. Start small, buy before you build.
Practice →Three routes for agents in design, one toolkit — and a ceiling worth knowing about.
Practice →A dual-phase Wizard-of-Oz study triangulated with semi-structured interviews and surveys to map user behavior in multimodal LLM interactions. Findings directly informed the design space for rapid feature iteration and shaped the future product roadmap.
Read full story →Identifing emerging patterns and friction points for VR streaming, translating qualitative insights into actionable design considerations and feature requirements to drive future development.
Read →Exploring the potential of enabling non-technical users to create AI-assisted VR presentations, validating adoption requirements across finance, education, and design domains.
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