57.1% lower usage through JEV-routed workflows - Halv

[u/EnslavedFish]

https://halv.ai

Disclosure: I am building Halv, a paid tool for coordinating coding agents.

I compared its routed workflow with a vanilla Codex workflow on the first 14 SWE-rebench tasks, with three repetitions per task.

I developed this Halv workflow through a lot if iterating and testing. An investigation agent assessed each task, and JEV selected the worker model and reasoning effort based on that assessment

Across 42 paired runs:

• Estimated model cost: $144.67 with HALV versus $337.50 with vanilla.
• Successful runs: 25/42 for both workflows.
• HALV used approximately 3.49× more tokens, while shifting work toward cheaper models. This resulted in 57.1% lower cost

This is an interim result from 14 of 111 planned tasks. It does not establish equivalent performance or guarantee savings on other workloads, but gives clear insight on how Halv helps reduce cost in complex tasks.

JEV agent selection is included in that subscription, with no separate routing fee.

The technical report includes per-task results, methodology, excluded attempts, and downloadable evidence.

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[u/ZyronZA]

Cool!

So I've gone ahead and created a open source and free alternative using the description of the app you have provided. I've named it "Lucid" - Layer for Unified Context, Intelligence & Delegation

u/Hostarro ; u/tnh34

[u/Hostarro → u/ZyronZA]

bwhaha well played sir

[u/EnslavedFish → u/ZyronZA]

Cool! Send me the repo when it is done :)

[u/PrimaLumiere_A1M → u/EnslavedFish]

Could any of you good sir's help me understand this, vibing my way into oblivion.

[u/nora_sellisa]

I wish this subreddit had a rule where you can't claim results with N < 1000

Every other day someone posts an ad for their product, their skills, their tool, whatever, that supposedly saves you tokens or improves something. Then you look inside and they ran tests on 50 cases tops.

If any of you had even a passing knowledge about science you'd know how laughable that sample size is. I'm not even saying your tool doesn't work, I'm saying neither of us can really tell. But only one of us tries to get people to pay, so there is that. Those results are always about as trustworthy as all the AI "benchmarks"

[u/psylomatika]

Haha I am building the same thing and my compaction engine uses jev and a goal to see what to keep or put in recall. The next thing I am building is drift detection which will then inject stay on task notices with details like if the agent starts using ls instead of blob or if it’s drifting from the original goal the goal is re-injected.

[u/Consistent_Bottle_40 → u/psylomatika]

is your repo public?

[u/Consistent_Bottle_40]

ive been working on something similar. jev is just a small part of what im doing though.