List of AI / ML tools, projects, and processes I use to improve business outcomes, enhance productivity, and/or that I find interesting.
- Elantris – A One-Day AI-Powered App for Human Connection
- Purpose:
- Built in a single focused day while the family was out, Elantris is an MVP that reignites meaningful connections using daily outreach prompts, event reminders, and SMS-based messaging- without the noise of social networks.
- Tools & Workflow:
- Product scoping: Started with a lightweight Product Requirement Document to define vision, features, users, and MVP goals.
- Web prototype: Quickly developed using Lovable.dev, wrapped with Capacitor for initial iOS/Android shells.
- Native Android iteration: Leveraged Kiro, Amazon’s AI-powered IDE, to build a smoother, more fully featured native app.
- Landing page: Designed with Lovable.dev to capture interest and showcase vision – https://elantris.me/
- Outcome:
- A functional MVP across web and Android platforms, plus a sleek landing page ready to gather interest and feedback. By combining structured vision with AI-enabled tools, Elantris shows how quickly purposeful digital experiences can come to life today- especially when creativity, ambition, and new tools align.
- Article:
- Purpose:
- Optimizing for Cash vs Clicks: A Revenue-Driven Approach to Digital Product Optimization and Experimentation
- Project Goal: Develop and implement a framework for shifting digital product and marketing strategy from traditional engagement metrics to revenue-focused KPIs to improve ROI and business alignment.
- Key Concepts: Created a systematic approach for aligning marketing spend and product testing with revenue generation, calculating true customer value, and optimizing campaigns based on post-click conversion performance rather than click volume.
- Articles:
- Jira / Chat GPT Integration – Product Manager Story Creation Tool
- Project Goal: Develop a tool that generates general descriptions, detailed requirements, and use cases for ticket creation based on detailed project descriptions.
- Key Concepts: Automated the initial stages of ticket creation by leveraging AI to transform project requirements into structured Jira-ready content.
- Article:
- AI-Powered Product Management Workshop
- I was invited to lead a two-hour workshop on AI-driven product management techniques for Zonda’s product team (Homes.com, Apartments.com, NewHomeSource.com).
- Project Goal: Design and deliver a comprehensive workshop on AI-driven product management techniques for enterprise product teams.
- Key Concepts: Created practical frameworks for implementing AI tools to improve efficiency and decision-making in product management workflows.
- Presentation & Workshop Materials:
- View the full presentation (with sensitive information removed)
- Download the hands-on workshop materials (ZIP)
- AI-Assisted Dad Humour Book
- Project Goal: Create, organize and publish a collection of dad jokes leveraging AI for content generation and publishing processes.
- Key Concepts: Utilized AI as a collaborative tool for idea generation, copywriting, content organization, and Amazon KDP publication workflow.
- Book Link:
- GEMBA translation measurement
- Project Goal: Evaluate machine translation quality using Microsoft Translator and large language model assessment methodologies.
- Key Concepts: Developed metrics for measuring translation accuracy and fluency using LLM-based evaluation frameworks.
- Note summarization custom GTP
- Project Goal: Transform raw meeting transcripts into structured, actionable summaries for improved team communication.
- Key Concepts: Automated extraction of attendee lists, action items, key outcomes, and strategic decisions from meeting transcripts.
- Quick Video Script and Image Creator – Creates the inputs for a short 60-second video on any topic
- Project Goal: Streamline creation of 60-second video content by automating research, script generation, and visual asset creation.
- Key Concepts: Developed a workflow for researching topics, generating facts, creating scripts with engaging headlines, and producing complementary images.
- Social Media Accounts Used to Test:
- ML Project to predict lead quality in lead generation products
- Project Goal: Build predictive models for lead quality and conversion probability using limited self-reported user data. Key Concepts: Applied machine learning techniques to identify high-value leads based on form submission data alone.
- Article (By data science team member at Core):