Opus 5.5 + Jev dual-core pipeline cuts decision cost to 1/3400
Routing 1,000 decision cycles through an Opus 5.5 + Jev harness drops the cost from $480 to $0.14, with Opus drafting plans, Jev scoring and abstaining, and Rust validating execution, plus a 6-stage runtime and latency/cost benchmarks.
burning raw claude opus 5.5 on routine branching is financial suicide 1,000 decision cycles on a cold frontier model: $480 the exact same workload routed through an opus 5.5 + jev dual-core harness: $0.14 the multi-agent architecture that solves the latency-cost bottleneck: opus drafts logic. jev scores fast typed choices. deterministic rust keeps execution authority. here is the 6-stage runtime pipeline: -> 1. propose - opus 5.5 in high effort synthesizes plans, diffs, and hypotheses (zero execution authority) -> 2. prune - host runtime filters out unsupported options before any model sees them -> 3. score - jev evaluates valid candidates with calibrated probabilities, or executes a hard abstain -> 4. validate - local rust engine re-checks selected actions against live state before acting -> 5. execute - sandboxed tool runners execute strictly verified commands -> 6. ledger - structured cryptographic receipts are recorded for offline replay and audit the live benchmark profile: -> 180ms median decision latency -> ~$0.00014 cost per step ($0.042/M input tokens, zero output fee) -> 50 of 50 agent benchmarks completed (100% pass) the breakthrough insight: calibrate uncertainty. when jev is only 35% confident, it abstains - triggering a pre-compiled fallback instead of letting opus make a $0.48 hallucinated guess. architecture beats brute-force compute every time. save this framework for your next production build.
This post quotes another post: “Jev turns routing, scoring and verification into a decision layer”