6 Comments
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Mohammad Javeed Sanganakal's avatar

the generations-vs-decisions split is the cleanest mental model in the piece. curious how many agent stacks are already doing this without naming it.

JP's avatar

The generations-vs-decisions split is the cleanest line in the piece, and the nine slots (routing, guardrails, tool gating, triage, rerank, evals, bulk label, real-time loop, confidence gate) map to how I actually place Jev around an LLM.

One caution on the headline: "100x faster and cheaper" is a blunt average. TypeSafe's own numbers swing a lot by task, and item 8 (trading / real-time loops) needs a hard confidence gate plus an audit trail before it is "use Jev instead of an LLM." Which of the nine have you timed on your own traffic rather than the vendor chart?

I run JevMade, a hub of Jev guides and experiments at https://jevmade.com, if useful.

Immanuel Santosh's avatar

The generation/decision split maps neatly onto financial planning: SIP step-ups, rebalancing triggers, insurance renewal checks are all cheap rules-based decisions.

Risk profiling and goal prioritisation are not — and the asymmetry matters. A misclassified urgent email is trivial; a misclassified risk profile is not.

Curious whether anyone has run confidence gates on regulated decisioning where every call needs an audit trail.

Sam Ahmad's avatar

Number 3 is the one that got me. Gating agent tool calls by permission category with a model that's 100x cheaper feels like the first guardrail I could actually afford to run on every single call.

Cloud AI's avatar

The future of AI isn't bigger models everywhere, it's knowing when a small, fast model can do 95% of the job.

The AI Standard's avatar

This is the part teams underestimate:

More context is not the same as better context.

Dumping 200 files into an agent can actually make the task harder.

A better pattern is to create a task-specific context packet:

goal

constraints

relevant past decisions

coding conventions

examples of “good”

known edge cases

definition of done

only the files actually needed

Useful AI lesson:

The next leap in agent quality may come less from bigger context windows…

and more from better context selection.

The best agent doesn’t know everything.

It knows exactly what matters for the task in front of it.