News & guides
The Token Cost of Tool Calls: Definitions Bill Every Turn
Tool definitions and results are prompt content, charged on every turn of every session. What a tool actually costs over a run, and how to shrink it.
· 8 min readTrial Abuse and Fair Use on Flat-Rate AI Plans
Why a flat-rate AI plan needs a fair-use boundary at all, what abuse looks like in the usage data, and how a heavy user stays clearly on the right side of it.
· 9 min readUsage Caps and Overages: Limits That Do Not Break Work
Hard caps stop runaway spend and stop your pipeline with it. How to design caps, warning paths and overage pricing that protect budget without outages.
· 12 min read
Vendor Lock-In Costs: Measure It Instead of Fearing It
The HTTP call is trivially portable. Prompt tuning, tool-call formats, evaluation baselines and caching semantics are not. How to measure and contain the expensive parts.
· 9 min readWhat a Model Upgrade Costs Beyond the Per-Token Rate
A newer model at a lower rate can still raise your monthly bill. Regression testing, prompt drift, output length and tool-call changes are where the cost actually lands.
· 9 min read
AI on a Student or Solo Developer Budget
You do not need a frontier model for most of what you do. A practical guide to getting real work done on AI when the budget is small and the meter is scary.
· 8 min read
Batching Requests to Save Money: When It Pays
Batch endpoints trade latency for a large discount, and packing items into one prompt amortises overhead. Here is when each pays and when neither does.
· 8 min read
Context Window Cost Tradeoffs: Bigger Is Not Free
A million-token window changes what you can do and what you will pay. Here is the arithmetic for filling one, and when retrieval beats stuffing on cost.
· 8 min readCost Per Pull Request: A Unit Metric Worth Tracking
Total AI spend tells you nothing actionable. Cost per merged pull request ties inference to delivered work and exposes exactly where the money goes.
· 8 min readCutting Token Usage Without Making Answers Worse
Most prompts carry substantial waste. Nine techniques that reduce spend while usually improving output quality, ordered by how much they actually save.
· 8 min readForecasting AI Spend Without Guessing
Most AI budget forecasts are a headcount multiplied by a hopeful number. Here is a model that decomposes spend into drivers you can actually measure and control.
· 8 min readFree AI API Tiers: How to Compare Limits That Keep Moving
Free tier numbers rot within weeks, and several vendors have stopped publishing them entirely. Here is a method for comparing them that survives the churn.
· 8 min readReady to try it?
Every model behind one key. Start free and upgrade when it sticks.