Build · Reduce costs
AI Token Cost Engineering
Inspect your prompts, model choices and call patterns, then improve the specification layer within your existing infrastructure. Use the usage evidence to define which changes are worth making.
Published timing: 5 to 7 days
Final scope and timing are confirmed before work begins.
The shape of the scoped work, not a client result or a finished-product screenshot.
The work today
Usage logs, prompts and a growing AI API bill.
Prompt specifications, model choices or call patterns may contain unnecessary work.
The progress to work toward
An audit of prompts, model selection and calls, followed by specification-layer changes.
The engagement is scoped around your inputs and acceptance criteria. The outcome is a goal, not a guarantee.
A concrete engagement
API bills grow before the architecture does. I audit your prompt design, model selection, and call patterns, then engineer the specification layer to cut token cost without rebuilding your infrastructure.
API usage logs + system access
Discuss access requirements first. Do not send passwords or private customer data in a public enquiry.
Before/after usage on the same representative tasks, with quality held to an agreed standard.
An example to agree during scoping, not a claim that this evidence has already been produced for your project.
A useful fit
The current architecture can stay and instruction or call efficiency is the main issue.
A different starting point
The main decision is where workloads run or whether local models fit them.
An existing native feature or a smaller change may be sufficient. The call should establish that before a build is proposed.
Evidence, with its limits
The process diagram explains the mechanism. It is illustrative, and it does not establish results for your workload.
The published offer establishes the advertised scope. It does not establish results for your workload.
The author’s local Claude Code measurements and measurement script. They describe that setup and do not forecast savings for your system.
Ask to review a relevant example and agree the evidence your engagement will produce before committing.
Before you commit
Price basis. $12,500 USD · published project price. Scope, timing and fees are confirmed in the proposal.
Operating costs. Model usage, hosting and any agreed ongoing support are separate where applicable.
Build payments. The services page advertises 50% at kickoff and 50% at delivery for builds. Confirm the applicable payment schedule in your proposal.
Support and cancellation. Confirm support coverage, cancellation and rescheduling terms before committing. A refund policy is not specified here.
Read the existing service terms ↗
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