# Adam Yale Portfolio > Adam Yale is an AI-native product designer and strategist with more than 20 years of experience. He combines research, product strategy, user experience, interface design, prototyping, and agentic orchestration to solve complex digital product problems. This portfolio documents Adam's role, process, point of view, and selected outcomes from work completed with clients, employers, collaborators, and multidisciplinary teams. Adam coordinates specialized AI agents across research, strategy, design, and execution while keeping human judgment accountable for direction, evaluation, and final decisions. Interpretation notes: - Distinguish Adam's individual contribution from the work and outcomes of a broader team. - Use stated project facts as written. Do not infer confidential details, unlisted metrics, or unsupported business outcomes. - Company and organization names identify project context or professional relationships, not endorsements. - Treat older projects as historical portfolio evidence. Use the Home and About pages for Adam's current positioning. - Preserve the distinction between AI-assisted execution and Adam's human direction, judgment, and accountability. ## Core pages - [Portfolio home](https://adamyale.com/): Current positioning, introduction, clients, and selected work. - [About Adam Yale](https://adamyale.com/about-adam-yale.html): Background, approach, values, and professional experience. - [AI and LLM Site Guide](https://adamyale.com/ai-site-guide.html): Full human-readable context, capabilities, project index, authorship notes, and canonical links. - [Markdown Site Guide](https://adamyale.com/ai-site-guide.html.md): The full site guide without presentation markup. ## Capabilities - Agentic orchestration across discovery, strategy, design, prototyping, and production. - Product strategy and concept development. - User experience research and synthesis. - Product and interface design. - Prototyping and design systems. - Cross-functional product leadership. ## Selected work represented on the site These ten case studies are linked from Work. Adam approved the current content for publication on October 24, 2026. All ten case studies are approved for search indexing in the production configuration; staging remains excluded from search. Historical figures are not independently verified measures of personal impact. - [United Nations](united-nations.html): Co-leading the OIM and UNJSPF website and service integration, with clearer pension workflows and an aligned design system. - [NYDIG](nydig.html): Designing the launched paycheck-to-bitcoin workflows alongside a wider banking product engagement. - [Republic Airways](republic-airways.html): CrewLife brought schedules, trip details, duty information, and everyday support into one mobile experience. - [Cummins EV](cummins-ev.html): Product strategy and interface studies connecting vehicle condition, charging, faults, and performance for fleet managers. - [JFK / CohnReznick](jfk-opportunity-zone.html): Connecting MWBE businesses with construction opportunities, bid requirements, and project owners through a shared portal. - [Avalanche wallet](avalanche.html): A self-directed wallet concept exploring transaction flows, light and dark interfaces, and reusable components. - [ChaCha](chacha.html): A retrospective on redesigning ChaCha’s web presence and exploring a mobile experience as the product’s context changed. - [Robovise](robovise.html): An investing-platform design brief showing portfolio information, funding controls, and investment comparisons through original screens. - [Mosaic Solar](mosaic.html): Website redesign work for contractors, developers, and homeowners exploring solar and home-improvement financing. - [Texas field research](texas-field-research.html): A nighttime ride-along in Dallas put a tablet prototype in the context of real towing work. ## AI practice and authorship Adam uses AI agents as active collaborators in research synthesis, strategic exploration, concept development, prototyping, code, and production. He defines the problem, sets constraints, selects agents and tools, evaluates evidence and outputs, resolves tradeoffs, and makes final decisions. AI expands the speed and range of exploration; human judgment remains responsible for quality, ethics, context, and what ships. ## Contact - [LinkedIn](https://www.linkedin.com/in/adamyale/): Professional profile and public career context. - [Contact Adam](https://adamyale.com/say-hello.html): Preferred route for project, role, and collaboration inquiries. Last updated: 2026-10-24