Blog
Tips, guides, and insights on AI teammates, smarter support, and building better teams.

What is Skywork AI? The super-agent workspace, explained
Skywork AI is a general-purpose AI super-agent that builds slides, docs, sheets, sites and videos. Here's what it does, how it works, and what it costs.

OpenAI removed Codex's 5-hour limit: what actually changed
OpenAI temporarily removed the 5-hour usage limit on Codex and ChatGPT Work. Here is what changed on July 12, what stayed, and what it means for you.

Qwen3.8-Max pricing: the preview deal and its hidden costs
A plain-English Qwen3.8-Max pricing guide: the 10% preview rate, the Token Plan tiers, the night discount, and the credit-burn cost nobody puts on the pricing page.

ZeroClaw review: the open-source AI agent runtime, honestly tested
An honest ZeroClaw review: what the open-source, Rust-based AI agent runtime does brilliantly, where its security story wobbles, and who should skip it.

The 6 best Qwen3.8-Max alternatives in 2026
The best Qwen3.8-Max alternatives in 2026, compared honestly: Kimi K3, Claude, GPT-5.6, Gemini 3.5 Pro, Grok 4.5, and the support layer that actually resolves tickets.

Qwen3.8-Max explained: Alibaba's 2.4T flagship preview
A plain-English guide to Qwen3.8-Max, Alibaba's 2.4-trillion-parameter multimodal preview: what it is, what Alibaba claims, what it costs, and whether it's worth jumping on right now.

Qwen 3.8 Max review: a 2.4T preview, tested honestly
An honest Qwen 3.8 Max review: what Alibaba's 2.4-trillion-parameter flagship actually is, why 'second only to Fable 5' is a claim not a benchmark, and who should wait.

8 best Inkling alternatives in 2026
Inkling is open and interesting, but it's expensive for open weights and not the smartest model you can run. Here are the 8 alternatives I'd actually try instead, with real prices and where each one beats it.

Paperclip review: the open-source AI agent runtime, tested
An honest Paperclip review: what the open-source control plane for running a company of AI agents does brilliantly, where its support story falls short, and who should actually run it.
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