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UsageTap resources

Build sustainable usage economics from the start.

Explore practical guides, calculators, implementation references, and open-source prompt tools for building sustainable AI and API products.

Ten field checks for healthier AI economics

These guides are educational, vendor-neutral worksheets. Use them with any product usage tracking or billing setup, whether you build it yourself, use provider tools, or choose another platform.

Survive the launch: an illustrated field guide with a rocket, a founder, and rising AI costs.

Launching a new AI product

Survive the launch

Ten practical checks for founders and builders planning a new AI product, free trial, or rapid launch.

  • Calculate cost per useful task.
  • Model adoption spikes and heavy users.
  • Set safeguards and pricing review triggers.
Download the startup guide

PDF · 24 pages · 10.9 MB · No signup required

Add AI and keep your margins: an illustrated field guide showing an AI feature added to an established SaaS product.

Adding AI to an existing product

Add AI. Keep your margins.

Ten practical checks for product, engineering, finance, and commercial teams adding AI to an established application.

  • Connect AI costs to accounts and tasks.
  • Protect existing plans and margin targets.
  • Plan included usage and pricing transitions.
Download the existing product guide

PDF · 26 pages · 11.2 MB · No signup required

30-minute application readiness review

Bring your launch plan. Leave with a sharper one.

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You get the benefit of our experience and clear priorities; we learn where teams are getting stuck. No pitch deck or UsageTap commitment required.

Start with evidence

Free trials and analyzers

Browse developer docs →

AI spend analyzer

Upload OpenAI or Anthropic exports for an immediate, browser-local spend forecast and optimization readout.

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30-day usage and cost analysis

Add a metadata-only observer and watch a private live cost baseline develop without creating an account.

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Prompt compression trial

Use a private workbench to compress prompts, inspect results, and run review and tightening tools.

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Production case study

FocusedFit.ai: The accidental optimization dividend

How customer-level AI metering exposed broken prompt caching, a silent data bug, and duplicated context.

Read the production case study
input tokens cached on representative calls
~71%
major context payload by size
150 KB → 40 KB
further compression estimated, so it stayed off
3–5%

Plan the next step

Popular guides and planning tools

The AI pricing shift

Why AI products are moving beyond seats and how to choose a model that scales with value.

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Usage plan simulator

Model allowances, overages, margins, and customer bills before you publish a plan.

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Prompt Efficiency Audit

Measure savings, risky removals, downstream behavior, and rollout conditions on representative prompts.

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Design the model

Usage pricing

Move from pricing theory to a plan your customers can understand and your margins can support.

AI pricing strategies video seriesWatch practical guidance on trials, outcomes, PAYG controls, and transparent AI pricing.AI cost savings video seriesWatch developer-focused techniques for protecting inference margin without weakening the product.Usage plan simulatorStress-test plan economics with your own assumptions.

Implement the system

Build with UsageTap

References and practical patterns for metering human and agent-driven product usage.

LLM integration referenceSDK patterns, examples, and integration guidance.AI usage billingPackage one AI feature, enforce policy, and send trusted usage to billing.Agentic API billingPrice and control autonomous, machine-speed traffic.

Control prompt cost

Prompt management

Use UsageTap Compress, then explore the open-source projects and introductory material behind our prompt work.

UsageTap CompressTry the standalone compression API, estimate savings, and review integration options.What we learned reducing LLM input costFollow the path from general text compression to a structure-aware, selective context pipeline.Compression benchmark methodologySee how we separate representative measurement, targeted learning, and frozen proof.Prompt compression for RAGProtect citations, numbers, instructions, and grounding in retrieval-heavy workflows.PromptOpsKitVersion, test, and operate prompts with an open-source toolkit.Prompt compression introductionA concise video introduction to prompt compression.PromptCompression on GitHubExplore the original prompt compression project and code.

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