Optimization Articles
Browse 263 articles about Optimization.
How Google AI Search Mode Changes Content Strategy for Businesses
Google's AI-first search mode is reshaping how content gets discovered. Learn what it means for SEO, AEO, and how to adapt your content strategy.
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.
How to Use Language Server Protocol (LSP) with Claude Code for Large Codebase Navigation
Give Claude Code the same symbol-level search developers have in their IDE. Here's how to expose an LSP via MCP server for large codebase navigation.
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.
How to Build an AI Agent Harness: Why the Wrapper Matters More Than the Model
The harness—rules, skills, hooks, MCP, and memory—drives more agent performance than the underlying model. Here's how to build one that actually works.
How to Position Your Brand for AI Search: The Truth Layer Strategy
AI agents do the shopping now. Learn how to build a structured, provable truth layer so your product appears in AI-mediated searches and recommendations.
What Is the Agent Harness? Why Scaffolding Matters More Than the Model
Cursor's research shows the same model scores 46% or 80% depending on the harness. Learn why your agent wrapper drives more performance than model choice.
Why You Should Never Switch Models Mid-Conversation in AI Coding Agents
Switching models mid-task causes cache misses, context mismatches, and slower turns. Cursor's research explains why one model per session is the right call.
Multi-Agent Reliability Math: Why Chaining 5 Agents Drops Success Rate to 77%
Chain five agents at 95% reliability each and your end-to-end success rate collapses to 77%. Here's the compounding problem and how to architect around it.
Why You Shouldn't Switch Models Mid-Conversation in AI Coding Agents
Cursor's blog explains why switching models mid-session causes cache misses, out-of-distribution context, and slower turns—and what to do instead.
What Is Progressive Disclosure in AI Agent Design? How Skills Load Context Efficiently
Progressive disclosure means loading only the context a skill needs at each step. Learn why this pattern prevents quality drops in complex Claude workflows.
What Is the Agent Context Bundle? How to Stop Your AI Agent from Rediscovering Everything
Agents waste tokens rediscovering context on every run. Learn how to define and pre-assemble the exact data bundle your agent needs to do its job reliably.
Claude Code Hooks: 18 Lifecycle Events Most Users Have Never Touched — and How to Use Them
Claude Code has hooks at 18+ lifecycle events — session start, post-compaction, pre-response, and more. Most users ignore them entirely.
How to Check If Your Brand Appears in AI Search: Tools and Strategies
More buyers use AI tools to discover products. Learn how to audit your brand's visibility in ChatGPT, Gemini, and Perplexity and improve your presence.
How to Prompt GPT 5.5 Models: Outcome-First vs Step-by-Step Prompting
GPT 5.5 models respond better to goal-based prompts than step-by-step instructions. Here's how to rewrite your prompts for better results.
How to Stop Burning Through Claude Code Tokens: The Context Management Guide for Beginners
Token costs in Claude Code balloon exponentially — every new message re-sends your full history. Here's how to use /compact, /clear
Claude in Microsoft Word: The Formatting Bugs, Credit Limits, and Workarounds You Need to Know Before You Start
Claude in Word struggles with image-heavy documents and complex formatting. Here are the specific limitations, credit gotchas
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.
GPT-5.3 Instant vs GPT-5.5 Instant — What Actually Improved (And What Didn't)
GPT-5.5 Instant beats its predecessor on math, hallucinations, and memory — but still can't handle visuals or games. Here's the honest comparison.