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Cut your agent bill by up to 90%.

Discount Tokens Token Savings Guide · How to Program Your Agentic System to Use 80-90% Fewer Tokens

A 52-page playbook built from 20 billion+ tokens measured in real agent traffic, audited call by call, and nearly 2,000 sources reviewed. Every number is labeled measured, modeled or projected.

52 pages, templates included · PDF delivered by email after purchase

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Discount Tokens Token Savings Guide PDF cover: 80-90% fewer tokens

What you'll learn

Measured techniques, not prompt tips.

Find where your tokens really goAbout 98% of agent tokens are cache re-reads, not prompts. Measure yours in an afternoon without spending a token.

Stop paying for growing conversationsHand-off bands and a lossless hand-off packet cut a real week's tokens by about 25%, with no memory loss.

Route every task to the right modelSmall, mid and large lanes cut list-price cost by about 59% on the same work, plus the pricing-tier trap most setups fall into.

End runaway agentsBrief contracts, call caps and stop rules for sub-agents, enforced by hooks instead of hope.

Kill fix loopsRework was 46% of the busiest window measured. Pilot-first runs, bounded score gates and deterministic checkers replace it.

Replace model calls with codeTyped decisions, scripts and DOM checks instead of LLM steps. One pipeline went from 41,200 tokens to 5,300 per run.

Use capacity you already pay forFlat-rate plans, free allowances, expiring credits and verification lanes, routed safely.

Cut without breaking anythingWhat never to cut, and how to test recall before you trim context.

What's inside

12 chapters, 52 pages, dark mode

The measured anatomy of an agentic bill
The measuring stack: usage collection, tier-aware pricing, a weekly audit
Context floor reduction with tiered loading and a fail-full safety rule
Conversation hand-off thresholds with payback math
Model routing tables, effort levels and pricing-tier arithmetic
Delegation contracts, call caps and no-polling rules
Fix-loop elimination and deterministic-first design
Cheap compute lanes and always-on operation without the burn
The savings ladder: each technique's real saving, labeled
A 30-day rollout plan and a weekly measurement sheet
Copy-paste templates, three worked cost examples, glossary and cheat sheet

Who it's for

Developers and teams running coding agents with sub-agents
Anyone building an orchestrator that dispatches work to other agents
Founders whose AI bill or plan limits grow faster than their output
Operators of always-on or unattended agent loops
Anyone on a usage-capped plan who keeps hitting the weekly wall

The research basis. 20 billion+ tokens measured, nearly 2,000 sources, a counterfactual replay of a real week and a 218-case recall test.

Questions

Will I really save 80-90%?

The full stack reached about 80% lower list-price cost on re-priced real traffic; 85-90% is a reasonable projection once rework and repeatable work are removed. Already-lean systems should expect 35-60%. The guide shows every rung and its assumptions so you can predict your own number.

Which models and tools does it cover?

Examples use the models where most of the measured traffic ran, but every technique applies to any vendor that prices fresh input, cached input and output separately.

Do I need to install anything?

No. Plain-text templates and a short generic script outline you adapt to your own system. No proprietary software.

Is this generic prompt advice?

No. It is built on measured production traffic audited call by call over six weeks, with independent cross-vendor reviews. Every number is labeled.

Will cutting context make my agents forget things?

Not if you follow the fail-full rule and the recall test in chapter 11. The guide shows how to tell when a cut is unsafe.

What format is it?

A 52-page PDF, Letter size, dark mode, with a linked table of contents.

Get the guide ↗

52 pages, templates included. Pair it with Discount Tokens Agent: fewer tokens, and free ones.