#tokenoptimization

The Framework You Built May Be the Problem In 2025, the default advice for anyone building...

Token savings are easy to market and hard to bank. Here’s the benchmark framework I trust for RTK-style compression: cost-per-success, tool-call failures, and latency.

What We Set Out to Build In 2026, token budgets are no longer an afterthought. According...

The Cost Problem Nobody Warned You About In 2026, the most common mistake I see AI...

The Problem: AI Assistants Forget Everything In 2026, according to McKinsey's State of AI...

Most people, when a prompt stops working, write more. They add clarifications, repeat instructions in...

A spreadsheet-ready expected-cost model for agent workflows that includes retries, tool-call fanout, context growth, and caching. Plus hard budgets you can actually enforce.

How deterministic context batching reduced approximate token usage by ~81.7% while building...

How to Reduce MCP Token Usage: Designing Context-Efficient Tool Schemas to Cut Agent...

Claude Code sends 33,000 tokens before reading your prompt. OpenCode sends 7,000. Here's the cache economics, the multiplier stack, and the break-even math for teams.

Originally published at norvik.tech Introduction An in-depth analysis of the new...

Frontier LLM agents waste 28–64% of tokens on doomed tasks, BAGEN reveals. Learn how budget interval estimation and early stopping work in practice.