fourth post in the training tracker series: turning the AI coach spec into a running endpoint, the bugs that only showed up once something real was talking to it, a security gap closed before a second user existed, and a chat UI to finally use the thing.
third post in the training tracker series: migrating the data model from single-user to multi-tenant before the second user exists, and writing the specs for an AI coach before writing a line of its code.
first post in the training tracker series: provisioning the AWS infrastructure, designing the data model, and seeding 105 days of plan data into DynamoDB.
sixth post in the series: adding threshold detection and SNS email alerts so meaningful indicator crossings surface without having to check the dashboard.
fifth post in the series: adding a DynamoDB snapshot store so the dashboard can display 3-month and 6-month sparklines alongside the existing 30-day view.
fourth post in the series: replacing ETF proxies with direct data sources, investigating free alternatives, and fixing a BoC query bug hiding three months of bond yield data.
third post in the series: moving all data fetching out of the browser and into AWS Lambda.
A Canadian mortgage rate decision aid — eight economic indicators translated into plain-English signals.