
Why Long Prompts Make AI Worse (And How to Fix Them)
Most people, when a prompt stops working, write more. They add clarifications, repeat instructions in...
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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 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.
Part 5 (bonus): Implementing Multi-LLM Routing in Go for performance ...
Dealing with financial and failover side! Introduction Static routing rules are...
Part 3: A theorical implementation of LLM selection and orchestration through a UI ...

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.
Vibe coding with Claude Code can be very fast. Costs increase quickly when token usage is not...
Mistral Vibe costs 3.3x less than Claude Opus 4.7. Delegate mechanical code tasks to save on tokens while keeping Opus for reasoning-heavy work.
Originally published on andrew.ooo — visit the original for any updates, code snippets that aged...