Case studies / jSwarm · By Mike Idengren
Engineering decisions from real AI product work: a 12-week series examining the trade-offs between cost, speed, and quality, with evidence and limitations made explicit.
For AI Solution Product Managers · CIOs and CTOs · AI Developers
Where is model judgment worth the cost, and where can precise tools do the work?
What shortens the path from a request to a completed, checked change?
Did the system deliver the intended result, preserve what matters, and repeat it?
A 12-week series, beginning with intent to outcome.
Article 01 · Quality · Development case study
A JarviSIM development example follows a recommendation through user choice and model change, separating structural results from recommendation quality.
Owner-reported structural results. Semantic quality not assessed. No measured cost or speed gains.
Read the case studyDiscuss the outcome you need, the constraints you face, and how to check whether your AI product delivers.
Explore the framework behind the series at jswarm.io.
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