FirstMeterContinuous path qualification

Make every AI model compete for your workloads.

FirstMeter tests complete AI execution paths for each workload, reducing inference costs while keeping proven alternatives ready for production.

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firstmeter · qualification runILLUSTRATIVE
Customer support resolution Evaluation complete
OpenAI96.4%$5.42 / 1KQualified
Claude96.8%$4.97 / 1KQualified
Qwen + retrieval95.1%$1.46 / 1KQualified
Llama local91.2%$0.58 / 1KHeld
Quality floor 95%Lowest-cost qualified path selected

How it works

Use the models you want.
On the infrastructure you control.

Install the runtime

curl -fsSL https://www.carthage.build/install-cli.sh | sh

Install the FirstMeter runtime, then qualify complete execution paths for each workload.

01 / CONNECT

Connect your workloads

Connect an application, agent or workflow and its current execution path. Use a cloud API, a self-hosted model or private infrastructure.

const workload = firstmeter.workload({
  name: "customer-support",
  current: "openai",
  alternatives: ["anthropic", "qwen-local"]
});

Connect an application, agent or workflow. FirstMeter evaluates complete execution paths against that workload’s requirements.

02 / QUALIFY

Define what success looks like

Set the requirements each workload must meet. Adjust this example and FirstMeter rechecks every path against them.

Customer support resolution

A path qualifies only when every required condition passes.

03 / COMPETE

Let qualified paths compete

FirstMeter evaluates the full path—from model and prompts to retrieval, tools and serving setup—against the workload. Only qualified paths serve production.

3 qualified · 4 tested
96.4% · 2.1sQUALIFIED
96.8% · 2.4sQUALIFIED
95.1% · 0.9sPRODUCTION
91.2% · 0.6sHELD

Paths that miss the requirements stay out of production. Qualified alternatives are ready when conditions change.

Reliability + switching

Every model competes.
Your workload decides.

FirstMeter continuously qualifies complete execution paths for each workload and switches production automatically when price, performance or availability changes. Qualified alternatives stay ready.

Changing the workload recalculates every route.

Scroll horizontally to follow all five stages

Customer support resolutionVersioned request + workflow state
OpenAIQUALIFIEDQuality96.4%P95 latency2.1sCost / 1K cases$5.42ClaudeQUALIFIEDQuality96.8%P95 latency2.4sCost / 1K cases$4.97Qwen + retrievalPRODUCTIONQuality95.1%P95 latency0.9sCost / 1K cases$1.46Llama localHELDQuality91.2%P95 latency0.6sCost / 1K cases$0.58Workflow confidencePassing paths by requirementProduction: 9 / 9 checksQuality threshold3 / 4P95 latency ceiling4 / 4Reliability floor4 / 4Data residency4 / 4Policy fit4 / 4State + tools4 / 4Dependencies4 / 4Human approval3 / 4Recovery objective4 / 4Counts out of 4 paths.Qwen + retrieval95.1% · $1.46 / 1KQUALIFIED · SERVINGOpenAI96.4%Claude96.8%Customer caseresolved
Qwen + retrieval is the lowest-cost path that passes every active requirement.
95.1% quality · $1.46 / 1K cases · 95% floor
Production pathQualified reserveHeld from production

FirstMeter

Questions about qualified paths.

FirstMeter tests complete execution paths and keeps proven alternatives ready for production.

What does FirstMeter evaluate?

Complete execution paths, including models, prompts, retrieval, tools, state and runtime dependencies.

When does a path qualify?

A path qualifies only when every required condition passes.

How does FirstMeter choose the production path?

Production goes to the lowest-cost path that meets every requirement.

Can I use self-hosted models?

Yes. Connect a cloud API, a self-hosted model or private infrastructure.

What happens when a provider becomes unavailable?

Qualified alternatives stay ready. FirstMeter can move production traffic while preserving workflow state.

Build with evidence.
Keep a way through.

We’re working with teams that want to reduce AI costs and keep qualified alternatives ready for production.

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