AI Token Optimization Specialists

Optimize the tokens
your AI runs on.

Track AI spend. Tie it to outcomes. Optimize what matters.

Claude Code · Agent SDK · Anthropic API

How the system works

Measure first. Improve with intent.

01

Track AI spend

Most teams can see total model cost, but not which workflows, agents, tools, or payloads are actually driving it. Spend stays too aggregated to act on.

How

Break usage down by workflow, agent, model, tool call, payload size, retries, latency, and cost per successful completion.

Guide

How to Track AI Spend

Instrument AI systems by workflow so cost becomes visible, attributable, and actionable.

Open guide

02

Tie it to outcomes

Spend alone does not tell you whether the system is working. You need to connect each workflow to the quality, speed, cost, or reliability outcome it is supposed to improve.

How

Define success for the workflow first, then map spend and behavior against the business result it is meant to move.

Guide

How to Map AI Workflows to Business Outcomes

Connect technical activity to the workflow metrics and business results the system is supposed to improve.

Open guide

03

Optimize what matters

Once spend and outcomes are visible, you can improve the parts of the system that actually matter instead of tuning blindly.

How

Tighten prompts, reduce unnecessary context, improve tool routing, and use the right model for each task.

Guide

How to Improve AI Performance

Use the instruction layer to reduce waste, increase consistency, and improve workflow performance where it counts.

Open guide

What we optimize

Four layers. Each one compounds.

These are where token waste compounds and where performance becomes measurable.

30–70% token reduction

Prompts

Reduce conflicting instructions, routing errors, and unnecessary token load at the prompt layer.

How to Optimize Prompts

Up to 80% payload reduction

Context Payloads

Trim oversized payloads so the model gets only the context it actually needs on each request.

How to Optimize Context Payloads

3–5x fewer tool calls

MCP Tools

Improve tool routing, cut retries, and reduce waste across complex agent and workflow chains.

How to Optimize MCP Tools

Up to 10x cost reduction

Model Routing

Use the right model for each task instead of paying one premium rate for every request.

How to Optimize Model Routing

John Sniezek

John Sniezek

Principal, Rockland Group

Built and shipped enterprise SaaS at Atlassian, where vague specs meant real production failures. That experience shapes how I approach AI token optimization: treat token-to-outcome as load-bearing infrastructure.

Benchmark an AI workflow.

We'll benchmark an AI workflow and show where the biggest gains are in cost, quality, speed, and performance.

Fixed-scope benchmark. You keep everything.