ShiftSignals

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ShiftSignals is an agentic diagnostic engine for Learning & Development teams. Rather than tracking course completion or sentiment scores, ShiftSignals determines whether training has actually changed how a person thinks and whether that shift holds under pressure. It addresses a critical and growing problem the OECD calls the "mirage of false mastery": as employees use AI to produce impressive outputs, their underlying reasoning, judgement, and cognitive skills quietly atrophy through cognitive offloading. Traditional L&D metrics can't see this happening. ShiftSignals can. The agent deploys transfer constraint prompts that require learners to demonstrate reasoning, navigate trade-offs, and shift perspective. Embedded confidence checks let ShiftSignals distinguish AI-polished outputs from genuinely shifted human judgement. The result is a live "transfer signal," a real-time diagnostic of whether a person's schema has actually moved. Why it's cool / jaw-dropping: It solves a problem that's invisible with any other tool: the divergence between apparent performance and true capability in an AI-augmented workforce It routes learners dynamically, offering scaffolded support for those still developing and stretch tasks or peer coaching for those ready to advance, driven by live response patterns rather than static course maps It gives L&D leaders the gold-standard evidence they've never had: proof that learning changed thinking, not just behaviour It reframes AI not as a threat to skill development, but as a detection surface. The very thing enabling false mastery also makes it detectable

Stack Used

GPT-5.2