Build an LLM Cache Proxy in 40 Lines to Cut Token Costs 83%
If your scripts send the same LLM prompt more than once, you are paying twice for the same answer. I...
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If your scripts send the same LLM prompt more than once, you are paying twice for the same answer. I...

AI agrees. AI does not ask. Exactly one thing gets through. But it can cost you. (NOTE: To protect...
A 20-episode lab test: giving an AI agent a live view of its own token budget raised cost 29-72% and cut accuracy on one of two models.
Short answer: count the complete prompt before a moderation call, cap image and text inputs, then use...

A transparent breakdown of the token bill from building an internal dashboard with FutureX, including the three prompt and workflow mistakes that doubled it and how to avoid them.
Gemini Code Assist and CLI thinking-token costs: how to stop a coding session from burning...
We ran GPT-5.6's programmatic tool calling on a real API. On one task it cut tokens 92%. On another it cost 2.2x more. Here's the rule that decides which.
Claude can run your tools from sandbox code so big results never hit its context. We measured what that saves on a real API: 98% fewer tokens on one task.
AI agents that browse the web re-pay for every result they read. We measured the input-token cost of context bloat on OpenAI's API: 3x on a single step.

Let’s be real for a second 😅: most teams’ AI bills aren’t expensive because the models are too...
Every turn, most AI agents re-send their entire transcript. Across a real multi-session task that...
I run a LangGraph pipeline that processes competitor intelligence reports every week. Same graph,...