AI Cost & Token Optimization
Cutting your AI bill — free model routing through Open Router, running models locally to offload work, token-saving Claude Code commands, opus-plan-mode tricks.
How to Use Prompt Caching to Cut Claude Code Token Costs in Dynamic Workflows
Dynamic workflows burn tokens fast. Learn how to use prompt caching, scope bounding, and Haiku sub-agents to control costs in Claude Code.
How to Manage Token Costs in Claude Code Dynamic Workflows: Haiku Sub-Agents and Scope Bounding
Dynamic workflows can burn millions of tokens fast. Learn how to use Haiku sub-agents, scope bounding, and named deliverables to control costs.
How to Control Token Costs in Claude Code Dynamic Workflows
Dynamic workflows can burn millions of tokens fast. Learn how to scope tasks, use Haiku sub-agents, and set boundaries to keep costs under control.
How to Use Prompt Caching and Token Management in Claude Code Dynamic Workflows
Dynamic workflows can burn through tokens fast. Learn how to use Haiku for sub-agents, bound your scope, and manage costs before they spiral.
What Is the AI Token Cost Crisis? Why Enterprise AI Bills Are Exploding
Agents and reasoning eat tokens at a different scale than chat. Learn why enterprise AI costs are rising and how to manage token spend across your stack.
What Is Prompt Caching in Claude Code? How to Save Millions of Tokens
Prompt caching lets Claude reuse expensive context across sessions. Learn how it works, when to use it, and how to extend your session limits significantly.
How to Forecast AI Token Usage for Your Business: Beyond Seats and Licenses
Forecasting AI by users or seats will leave you underprepared. Learn to forecast by tokens per workflow, agent loops, and concurrency to avoid capacity shocks.
What Is Prompt Caching in Claude Code? How to Save Millions of Tokens
Prompt caching cuts Claude token costs by 90% for repeated context. Learn how cache TTL works, what breaks the cache, and three habits that maximize savings.
Prompt Caching in Claude Code: How to Save Millions of Tokens and Extend Session Limits
Learn how Claude Code's prompt caching works, what breaks the cache, and three habits that save millions of tokens and extend your session limits.
Token Efficiency vs Model Intelligence: Why Smaller Vision Models Win for Agents
A 1.3B vision model using 43x fewer tokens than a reasoning model can outperform it in agent loops. Here's why token efficiency matters.
MCP Servers vs CLI Tools for AI Agents: When to Use Each
CLI tools are for development and debugging. MCP servers are for production agent loops. Learn the difference and how to use both in the same project.
Claude Code Hourly Limits Just Doubled — Here's the Compute Deal That Made It Possible
Claude Code's hourly limits just doubled. The reason is Anthropic's takeover of SpaceX's Colossus 1 data center. Here's what changed and what's still limited.
Build a Custom CLI That Compresses 132,000 Tokens to 2,000 in Your Claude Context — In 10 Minutes
A School.com CLI built in 10 minutes compressed 132,000 tokens of API data to ~2,000 tokens in Claude's context — a 66x reduction. Here's how to replicate it.
MCP vs CLI in Agentic Workflows: 35x Token Overhead and 72% vs 100% Reliability — The Data You Need
MCP servers use 35x more tokens than CLI tools on the same task, with reliability dropping from 100% to 72% as complexity grows. Here's when to use each.
Claude Code Rate Limits Just Doubled: Every New API Limit After the Colossus 1 Deal
Tier 1 input tokens jumped from 30K to 500K/min. Here are every updated Claude Code and API rate limit after the Colossus 1 takeover.
CLI vs MCP vs API for AI Agents: Which Integration Method Should You Use?
CLIs, MCPs, and APIs each have different tradeoffs for AI agent workflows. Here's a practical breakdown of when to use each and why CLIs often win.
MCP Servers Use 35x More Tokens Than CLI Tools — And Reliability Drops to 72% on Hard Tasks
A direct benchmark shows MCP uses 35x more tokens than CLI on the same task, with reliability falling from 100% to 72% as complexity grows. Use CLIs instead.
School CLI Built in 10 Minutes Compresses 132K Tokens to 2K: How Printing Press Solves Context Bloat
A School CLI built by Claude Code in 10 minutes fetched 132K tokens of data but injected only 2K into context — a 66x compression. Here's how it works.
Claude API Token Limits Just Jumped 10x — Every Tier's New Numbers Explained
Tier 1 input tokens jumped from 30k to 500k per minute. Here's the full breakdown of every Claude API tier's new limits.
Claude Opus API Output Tokens Just Hit 80,000/min — 10x Increase Explained
Opus API output tokens jumped from 8k to 80k per minute overnight. What triggered it and what it means for production pipelines.
Claude + Blender MCP: What It Can Do, What It Can't, and When to Use It
Claude's Blender MCP connector is impressive but limited. Here's an honest look at its real-world performance, limitations, and best use cases.
How to Use OpenRouter with Claude Code: Run Cheaper Models as a Backend
Use OpenRouter to swap Claude's backend for DeepSeek or other models at 2–5% of the cost. A step-by-step guide to setting up the free-claude-code proxy.
Claude's Blender MCP Burned 60% of a $200/Month Plan on One Donut — Real Test Results
Claude's Blender MCP took 2 hours, burned 60% of a Max plan's session tokens, and still had clipping and color artifacts. Here's the honest breakdown.
How to Cut Your AI Inference Bill Before It Spikes: A 5-Step Enterprise Playbook
From use-case audits to escape hatch architecture: the five steps enterprises need to run before AI costs overtake payroll.