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What changed. Why it matters. How to use it. Source-linked analysis and practical engineering guides.
Practical guides
10 complete articlesHaiku 5.5 pricing: the 100K boundary, cache break-even, and routing math
Calculate Haiku 5.5 token costs, cache write amortization, long-prompt charges, and fallback costs with a tested offline calculator.
Migrate to Haiku 5.5: request changes, response handling, and a runnable example
Move from Haiku 4.5 to 5.5 with adaptive thinking, effort, token recounting, robust text parsing, and staging checks for tools and refusals.
Agent Context Compaction, KV Cache, and Prompt Caching Explained
Understand three different memory mechanisms, calculate when compaction pays, and preserve agent state without mistaking cached tokens for durable memory.
Claude Agent Routing: Cost per Accepted Task Beats the Cheapest Token
Build a defensible agent routing policy with conditional recovery rates, verifier errors, effort sweeps, batch deadlines, and a tested offline calculator.
China vs USA LLMs: Choose the Deployment, Not the Flag
Compare Chinese and US LLM deployment options through model licensing, inference geography, data retention, modalities, and worked total-cost economics.
Build a document extraction pipeline that knows when to stop
An offline Python workflow for invoice extraction with strict JSON, field-specific source evidence, bounded repair, and a review queue—plus a plan for evaluating a live model adapter.
GPT-6 Prompt Caching Economics: Engineer for Reuse, Measure Accepted Work
A rigorous guide to GPT-6.1 Sol prompt caching, Claude and Gemini cache economics, break-even calculations, prefix design, and tested cost accounting.
LLM Price Wars: Compare Workload Costs, Batch Deadlines, and Realtime Systems
Normalize AI workload bills across tokens, promotions, context thresholds, off-peak schedules, batch orchestration, and realtime audio before choosing a provider.
Qwen3.8 Omni Flash: How to Deploy a Multimodal Agent Without Confusing the APIs
Qwen3.8 Omni Flash explained: native audiovisual reasoning, nonrealtime versus realtime APIs, verified pricing, context limits, and accepted-task economics.
Terminal-Bench 4.0 and SWE-bench: How to Compare Coding Agents Honestly
Understand Terminal-Bench 4.0, SWE-bench, harness effects, paired statistics, and cost per resolved task—with tested Python and current source evidence.