Jev Can SERIOUSLY Supercharge Your AI Second Brain (Here's How)

YouTube · Watch/Read · (gathered 2026-10-14)

• Cole Medin demonstrates how Jev, a decision model, can “supercharge” an AI second brain by replacing Large Language Models (LLMs) for specific decision-making tasks, leading to significantly faster and cheaper automations.
• He outlines four core use cases for Jev in his second brain: filtering emails (including robust prompt injection attack detection), managing news sources, and identifying duplicate information for his permanent knowledge base.
• Jev processes decisions 20-200 times faster and 40-1000 times cheaper than LLMs, with Cole reporting 38,000 calls for $21 in a week via Open Router’s decisions endpoint, answering multiple questions in parallel with confidence scores.
• While powerful for initial filtering and clear-cut decisions, Jev is not a complete LLM replacement for tasks requiring extensive context (e.g., nuanced content relevance for a specific audience), where smaller LLMs like Haiku or GLM 5.3 Flash are still preferred for final filtering.