ZEVQORA

AI COST OPTIMIZATION ENGINEER

Find the AI work costing you more than it should.

ZEVQORA maps where AI spend is actually coming from, tests lighter execution paths against real evidence, and prepares the smallest safe change for review.

Desktop-first Replay + task-specific evals Human review required
Download desktop See the workflow

Windows production build · No blind auto-merge or deploy.

Living AI Spend Map
ZEVQORA AI Spend Map desktop product preview
Find expensive AI work

Automatically surface high-cost requests and overuse.

Verify cheaper execution

Test safe, lower-cost alternatives with confidence.

Ship reviewable fixes

Apply changes with full visibility and control.

WHY ZEVQORA

Your AI bill is a system problem, not a model picker problem.

Cost leaks hide across repeated work, oversized models, retries, context, routing, unnecessary LLM calls, and architecture. ZEVQORA follows the full execution path instead of stopping at a provider bill.

Repeated work
The same reasoning, summaries, or extraction steps paid for again and again.
Oversized models
Frontier-model cost on bounded tasks that can safely use a lighter path.
Unnecessary calls
LLM steps where deterministic logic, reuse, caching, or lookup is enough.
Retries + routing
Fallback chains and retry storms that quietly multiply unit cost.
Context weight
Prompts and histories that grew without a cost/quality review.
Architecture
System-level choices that make expensive execution the default.

ZEV · THE AGENT

Zev works inside
the evidence.

The mascot is not decoration. Zev represents our optimization agent moving through the same Spend Map, experiments, replay, and verification gates you review.

Inside your evidenceZev operates on the same data, steps, and signals you do.
Optimize with proofEvery recommendation is tied to measurable impact.
Built to earn trustTransparent actions, verifiable results, and human-in-the-loop control.

EVIDENCE RAIL

Proof before savings.

Every recommendation keeps a visible trail: observed AI work, the cost driver, a candidate path, replay, task-specific evaluation, and human review.

  1. ObserveCollect source and runtime evidence.
  2. DiagnoseFind the system-level cost driver.
  3. ExperimentDraft a cheaper candidate path.
  4. VerifyReplay and evaluate quality.
  5. ReviewPrepare one reviewable change.
  6. MonitorWatch realized cost and drift.

VERIFIED SAVINGS

Cheaper is not verified.

A candidate only counts when it survives replay and the configured quality gate. ZEVQORA shows the cost delta beside the proof instead of hiding it behind a confidence score.

Savings Delta/api/classify  ·  illustrative
Baseline cost$1.00 / 1k tasks
Candidate cost$0.39 / 1k tasks
Replayrecorded tasks
Evalquality preserved
Reviewhuman approval
Illustrative verified delta−61%