Enterprise AI Is Failing in Production — Empromptu AI Is Fixing the Foundation | TFiR
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Vibe Coding Is Dead: How to Actually Make AI Tools That Scale and Don't Break
Every enterprise leader has watched this film: a proof-of-concept that dazzles in the demo, then haemorrhages accuracy and chokes on edge cases three months in. Empromptu CEO Shanea Leven explains why it keeps happening — prompts tuned until a demo passes aren’t a system, and nothing in that process produces the evaluation, context management or governance a production workload needs. The alternative isn’t more prompting. It is building for reliability from day one: an accuracy bar set per use case, edge-case detection running continuously, and a model that learns from corrections instead of drifting away from them. That layer is what Empromptu builds.
Read articleEnterprises can now train custom AI models from production workflows, no ML team required
VentureBeat covers Empromptu's Alchemy launch. The piece names the structural reframe: enterprises stop renting intelligence from foundation models and start owning custom models trained by their own AI applications in production.
Read articleShanea Leven Named to Inc. Female Founder 100
Empromptu CEO Shanea Leven has been named to the 2026 Inc. Female Founders 500 for her leadership in redefining how enterprises move from AI prototypes to production systems.
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