Resources

Guides and tools for smarter LLM decisions

Free resources to help you understand predictive cost intelligence, optimize model selection, and reduce LLM spend.

GUIDE

The predictive LLM intelligence guide

The framework for predictive model selection. Covers composite scoring, the self-improving accuracy model, and how to align models to your business and use case. Includes a 30+ model comparison reference.

01Hidden cost of reactive tracking
02Why cheapest per token fails
03Composite scoring framework
04Predictive vs reactive comparison
05Self-improving accuracy model
06Use case alignment
0730+ models compared
08Getting started
8 chapters10 pagesPDF download
REPORT

The science of smarter LLM decisions

The data behind why manual model selection costs more than you think. Quantifies the time cost, money cost, and quality cost of static model assignments. Includes a 14-day accuracy progression.

01What developers do today
02The time cost: 16-32 hours/month
03The money cost: overshoot and retries
04The quality cost: wrong model, wrong output
05What changes with predictive intelligence
06The data: accuracy, savings, and quality gains
07Start measuring what matters
7 chapters10 pagesPDF download

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Blog

Articles on LLM cost optimization, model selection strategies, and predictive intelligence.

Coming Q2 2026

Why your LLM cost spreadsheet is lying to you

The gap between what you track and what you actually spend.

Coming soon

Coming Q2 2026

Composite scoring explained: beyond price per token

How task fit, quality, and context create better model decisions.

Coming soon

Coming Q2 2026

The 14-day accuracy experiment

What happens when you let predictions learn from real usage data.

Coming soon

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