EventOS
A runnable activity-operations system covering registration, review, agenda, check-in, and on-site coordination.
A public, public-case index of the projects and systems developed during my internship. Each cluster opens only the essential work; runnable demonstrations use synthetic records, while protected source material remains out of the public site.
Product surfaces that translate a multi-step process into something people can inspect, navigate, and complete.
A runnable activity-operations system covering registration, review, agenda, check-in, and on-site coordination.
A campaign-planning and proposal-submission prototype, represented here as an public-case interaction and operation case.
A hands-on, playable course for breaking reusable agent capabilities into lessons and practice.
Multi-step agent concepts, knowledge workflows, and evaluation-oriented operators. Source data is substituted with safe, synthetic records.
A consolidated public case for staged reasoning, account understanding, opportunity development, task routing, and output synthesis.
A structured approach to criteria, evidence routing, review states, and explainable assessment.
An public-case knowledge-retrieval and solution-planning practice for complex preparation tasks.
Reusable capability design: clarify the request, inventory sources, set boundaries, execute a workflow, and verify the result.
A meta-agent workflow for turning business requirements and governed sources into reviewable agent packages.
A structured practice for turning long-form training, playbooks, and public references into navigable learning material.
Public-signal research, responsible synthesis, and audience-insight exploration without carrying source data into the portfolio.
Experiments around agent workspaces, inbox workflows, and moving from scattered signals to accountable operational actions.
A platform direction for capability discovery, entry points, workspace structure, and controlled agent operations.
An approach to extracting context and shaping email requests into traceable tasks while preserving privacy.
An early product exploration of source-aware analysis, synthetic examples, and clear next actions.