Potomac Haven Inc.

• Provide platform, prompt skills, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities. • Design, develop and deploy AI solutions with a focus on: clarify the problem, design the approach, write the prompts and prototype quickly. • Curate, process and augment high-quality multimodal data while integrating Retrieval-Augmented Generation (RAG) for robust model grounding and improved accuracy. • Implement retrieval-augmented workflows: grounding, chunking, indexing strategies, response synthesis, and guardrails for factuality and tone. • Orchestrate multi-step agents: task decomposition, tool-use design, memory and context strategies, and failure/retry logic for reliability. • Operationalize prompt systems: reusable prompt patterns, role/task separation, evaluation harnesses, and continuous refinement. • Leverage core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and Natural Language Processing (NLP)/Chatbot interface construction. • Deploy solutions to a shareable environment for stakeholders. • Document decisions: assumptions, risks, test plans, and clear instructions so others can run, test, and extend your prototypes. • Communication and influence: Translate complex AI behavior into simple narratives and demos. Gather feedback from non-technical stakeholders and close the loop with measurable improvements.

• Design and implement a modern, user-friendly website on a contemporary CMS (e.g. WordPress or Drupal). • Create a responsive UI aligned with campaign branding and build all required features – from content pages and navigation to interactive elements. • Define the site’s technical architecture and set up robust hosting in a scalable AWS cloud environment. • Ensure full ADA/WCAG 2.1 AA compliance across the website’s design and code • Set up comprehensive analytics from day one to measure campaign effectiveness. • Develop a custom performance dashboard (e.g., using Google Looker Studio/Data Studio) to visualize key metrics.

• Provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities. • Design, develop and deploy AI solutions with a focus on: clarify the problem, design the approach, write the prompts and prototype quickly. • Curate, process and augment high-quality multimodal data while integrating Retrieval-Augmented Generation (RAG) for robust model grounding and improved accuracy. • Implement retrieval-augmented workflows: grounding, chunking, indexing strategies, response synthesis, and guardrails for factuality and tone. • Orchestrate multi-step agents: task decomposition, tool-use design, memory and context strategies, and failure/retry logic for reliability. • Operationalize prompt systems: reusable prompt patterns, role/task separation, evaluation harnesses, and continuous refinement. • Leverage core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and Natural Language Processing (NLP)/Chatbot interface construction. • Deploy solutions to a shareable environment for stakeholders. • Document decisions: assumptions, risks, test plans, and clear instructions so others can run, test, and extend prototypes. • Translate complex AI behavior into simple narratives and demos. Gather feedback from non-technical stakeholders and close the loop with measurable improvements.