PMForge.ai is a curated showcase of AI product experiments, working prototypes, case studies, and applied systems built to solve real operational problems.
Track delivery changes, daily summaries, and multi-account shipment visibility.
Use RAG, vector search, and citations to answer questions from community documents.
Monitor API usage, forecast spend, and alert when thresholds are crossed.
Tracks local fuel prices, surfaces the best fill-up options, and sends alerts when costs shift.
Generates sharp, funny sports commentary and personalized roasts from live scores and headlines.
Each project is presented through the lens of user problem, system design, workflow, tools, constraints, and lessons learned.
An AI-assisted shipment tracker for e-commerce orders. Monitors status changes, separates multiple user accounts, and sends daily delivery summaries.
A retrieval-based assistant that answers homeowner association questions from rules, policies, documents, and meeting materials with source citations.
A dashboard and alerting system that tracks API usage, estimates monthly costs, and sends warnings when daily usage exceeds thresholds.
An AI-supported workout generator that balances muscle groups, avoids repeated exercises, respects equipment constraints, and stores accepted classes.
An AI agent that monitors local fuel prices, compares stations, and sends alerts when prices drop or spike — helping drivers time fill-ups and save money.
A playful AI experience that turns game results, player stats, and headlines into witty sports roasts and shareable commentary for fans who want humor with their scores.
PMForge.ai focuses on systems that combine useful automation, clear product thinking, and credible implementation.
Workflow monitoring, scheduled execution, task orchestration, alerts, and multi-step reasoning.
Private knowledge assistants, document intelligence, vector search, citations, and retrieval quality.
Usage monitoring, dashboards, cost visibility, operational insights, and decision support.
Turning repetitive workflows into scalable systems with guardrails, summaries, and human review.
The goal is not to add a chatbot. The goal is to solve a real user problem better, faster, and with less friction.
Identify repetitive, ambiguous, or high-friction work before choosing a model, database, or interface.
Use citations, summaries, confidence signals, alerts, and human review where the decision matters.
Every build has a user, use case, architecture, constraints, tradeoffs, and measurable next step.
The systems are informed by experience building customer experiences, marketplaces, digital products, and operational platforms.
Digital commerce, customer experience, operational scale, and product execution in high-volume systems.
Platform thinking, enterprise systems, cross-functional execution, and durable product foundations.
Customer engagement, travel experiences, account systems, retention, experimentation, and loyalty-oriented product work.
Send a message through the form or email directly. Typical topics include AI systems, product strategy, workflow automation, and practical build feedback.
