Cole Medin walks through four decision-model uses in his AI second brain, on his channel (13 minutes). The video is sponsored by OpenRouter; his cost and speed figures are his own reported experience, not independent benchmarks.

Why a decision model?

  • Jev takes a state and multiple-choice questions, answering them in parallel instead of generating prose. An LLM still drafts the actual email or performs nuanced editorial review.
  • Cole says it is faster and cheaper than using an LLM for every small decision. His transcript says 38,000 calls and 55.3 million input tokens in a week cost about $21; the video description instead says $2, so treat the price claim as inconsistent.

Four jobs in the second brain

  • Email triage: decide whether a message merits a drafted reply; skip low-priority mail. Cole reviews and sends replies himself rather than letting the system send automatically.
  • Prompt-injection screening: classify incoming email for requests to forward data, change memory or settings, escape instruction boundaries, or impersonate the owner. His demo labels mail as draft, skip, or attack; a separate LLM used to do the screening.
  • News filtering: first pass over RSS, YouTube, and Reddit items; categorize and score relevance. Send borderline audience-fit questions to a smaller LLM with broader context. Cole found Jev alone insufficient for that final judgment.
  • Deduplication: compare incoming facts with existing entity notes before paying an LLM to update the knowledge base. He favors false negatives over silently discarding useful new information.

Where not to overclaim

  • He shows probabilities and thresholding, but supplies no independently validated attack-detection or deduplication benchmark in this talk. A classifier is not a complete security boundary for untrusted email.
  • The useful pattern is cheap, narrow decisions first; richer contextual reasoning only where needed. For content filtering, he explicitly keeps the LLM in the loop.

“Jev is great at making those initial calls, what is just noise that we can easily skip.” — ~8:53