6 min readLocal & Private AI
Thinking Models vs Instant Models for Rewriting
Reasoning models deliberate before answering. For a tone change that is pure overhead. How to tell which mode you are in, and how to turn it off.
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6 min readLocal & Private AI
Which Writing Tasks Should Stay on Your Own Machine
A category list you can apply without deliberating, because judgment about sensitivity fails exactly when you are busy.
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Windows On-Device AI in 2026: What Build Actually Delivered
Microsoft made free local inference a first-class Windows target at Build 2026. What the new APIs give developers, what they do not, and why a bundled engine still matters.
Read article →6 min readAI Models & News
AI Models Are Becoming Interchangeable. Plan Accordingly.
Prices fell roughly 80 percent in a year and open models sit within a few points of proprietary ones. When the model is a commodity, the durable decisions are about everything else.
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Four Models in Two Months: What the 2026 Release Cadence Means for You
Anthropic shipped four Claude 5 models in under two months. AI has moved from blockbuster launches to continuous iteration, and that changes how you should build workflows on top of it.
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The Best Open-Weights Models for Writing Work in 2026
A practical shortlist of open-weights models that actually help with professional writing, sorted by what hardware you have rather than by benchmark score.
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Can You Run a Trillion-Parameter Model Locally? An Honest Answer
Open weights at frontier scale sound like they put frontier AI on your desk. The arithmetic says otherwise. What the memory math actually allows, and what you should run instead.
Read article →6 min readAI Models & News
Chinese AI Models in 2026: What Professionals Should Actually Know
DeepSeek, Qwen, Kimi, GLM, MiniMax, and Hunyuan now define the open-weights frontier and undercut Western pricing dramatically. The capability story, and the procurement questions it raises.
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Claude Opus 5 for Professional Writing: What Actually Changed
Anthropic shipped Claude Opus 5 in July 2026 with a million-token context, adaptive thinking, and effort levels. Which of those features matter for work writing, and which are for other jobs.
Read article →6 min readLocal & Private AI
DeepSeek V4: What an Efficiency-First Open Model Changes
DeepSeek V4 competes on inference efficiency rather than raw benchmark scores. Why that is the more interesting strategy, and what it means for anyone paying for AI by the token.
Read article →6 min readAI Models & News
Do Frontier Models Write Better Emails? A Careful Answer
The best model in the world and a 1.7B model on your laptop, given the same email. What actually differs, what does not, and why the expensive one sometimes loses.
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Do You Need a Million-Token Context Window?
Million-token windows are now standard on frontier models. What that capacity is actually for, why retrieval quality degrades long before the limit, and what professional writing really needs.
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