Author’s note: From input, output, reasoning, caching, and retries to verification and escalation — 7 steps to convert “how much per million tokens” into “how much per completed task.” When many teams pick a model, the first thing they look at is the input and output unit prices on the pricing table, and then they…
Author’s note: We compare DSH (DeepSeek Harness) and Tencent WorkBuddy across five scenarios — dev automation, office collaboration, data compliance, cost control, and team rollout — to see how their positioning differs, and explain how to call the relevant models through a single APIYI endpoint. Lately, “why is DSH so popular” and “DSH vs. Tencent…
Author’s note: This article walks through, in 5 steps, how to design agent acceptance gates so that long-running agents have a clear finish line, reliable feedback, and controllable costs. After an agent runs continuously for hours or even days, it hands back results that look complete — yet nobody dares merge them. That’s a problem…
Author’s note: From “fixing one crash” to “making the app stop crashing,” this article breaks down the 5 changes your workflow has to make before you hand the results over to AI — plus a no-code rollout process you can follow. Lots of teams now use AI every day to write emails, polish copy, and…
Author’s note: Since the DeepSeek API introduced peak/off-peak pricing and tool-call charges, the old “unit price × Tokens” estimate no longer works. This article walks through 5 steps to recalculate your app’s real invocation cost across four dimensions: time window, Token type, caching, and tool calls. Plenty of developers’ cost spreadsheets still stop at “input…
Author’s note: Based on the Claude Code v2.1.318 release notes, this article covers the causes and troubleshooting steps for seven types of issues in shared network home directories, including lost configuration, “Not logged in” errors, and expired logins. In university computer labs, HPC clusters, and company jump hosts, home directories are often mounted on NFS…
Author’s note: Based on hands-on testing of Apple Intelligence on China-region iOS 27.3, this piece breaks down how on-device models and cloud-based Large Language Models divide the work — and hands you a ready-to-use 5-dimension decision framework plus steps for shipping it in a real product. With the iOS 27.3 developer beta rolling out, Apple…
Author’s note: Short-drama AI production can’t be judged by how good a single shot looks. This article lays out a multi-episode asset management method that runs from script breakdown all the way to change tracking, and shows how to connect models through an API to handle structured extraction and continuity checks. On November 4, 2026,…
Author’s note: The cost of an AI comic drama isn’t just the per-generation unit price — you also have to look at the pull rate (how often you get a usable result) and the reject rate. This article breaks down 5 key stages and hands you a costing method you can apply as-is. As short-drama…
Author’s note: from acceptance criteria and data isolation to independent review — five steps for designing external verification of deep AI tasks, so you can avoid the false sense of completion that comes from models grading their own work. The model says “task complete, results are accurate” — and then the whole thing falls apart…
