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11 posts · title / excerpt
- AISeptember 1, 202617 min
Turning Legacy Code and a Cabinet of Documents into a Domain Agent That Actually Works: The Six-Step Path
You have nine domain algorithms that have run for years and a pile of docx/pdf documents. How do you turn them into an agent that actually does your work? A tutorial you can follow: six steps, each covering just three things — what to do, how to know it worked, and where the trap is. The most expensive lesson: your verifiers lie too — three of four red acceptance runs were the gate's fault, not the answer's.
ai-collaborationagentragtutorial - AISeptember 1, 202612 min
Zero to TestFlight: The Complete Path to Shipping an iPhone App Solo
A tutorial you can actually follow: five steps from account registration to TestFlight, and for each step just three things — what to do, how to know it worked, and where the trap is. The most expensive lesson happens before step one: an irreversible decision that burned two of my app identifiers.
ai-collaborationiostutorialindie-dev - AIAugust 5, 20267 min
Moving the AI Into Excel: A Workflow Migration Forced by 'Regenerate'
After a script-generated workbook flattened my hand-tuned charts twice, I moved the AI from generating files outside to working in place inside Excel's sidebar — and the hard part wasn't the tool, it was repackaging two years of hard-earned rules for an assistant with no memory.
ai-collaborationexcelworkflowwater-engineering - AIJuly 30, 202613 min
I Drew a Map of My Own AI Setup — The TL Harness Manual
228 parts, 677 notes, and I couldn't tell you which ones were still turning. An inventory tells you what you have; it can't answer "what breaks if I delete this?" So I drew the relationships — and found that 419 of my notes were mislabeled while every single count added up perfectly.
AIClaudeDeveloper ToolsVisualizationSwift - AIJuly 23, 20268 min
过度乐观，就是悲观
你感受到的从来不是现实本身，是现实减去预期。现实好过预期才有多巴胺，不如预期就只有失望。所以过度乐观就是悲观——预期抬到天上，现实天天让你失望。教条式的乐观和自信，本质是把预期拉满，在批量给自己制造失望。而两千年前的斯多葛给出了另一种乐观：预期压到最坏，接受一切并从中学习——高预期容易 miss，低预期容易 beat。
方法论认知决策斯多葛 - AIJuly 22, 20268 min
情绪价值是个强化信号
情绪价值不是有用没用的问题，它是个强化信号——本身没有方向。绑在真实能力上，它是燃料；和能力脱钩，它是高能耗、不稳定、还会把你锁在错误的行为上。而当前这个内卷、下行、上升通道变窄的环境，正在系统性地让它脱钩——所以它的负作用在放大。
方法论认知决策工程思维 - AIJuly 22, 20266 min
靠结构，不靠记性
重复的错误不该靠记性解决，该靠结构解决。教训记在笔记里是愿望，写进拦截钩子里才是制度。三个亲身的坑——一个看不见的字体、一次并发提交、一份报错的台账——机制是同一个：只要'做对'还依赖某个人当场不出错，错误就永远有复发的地方。把这个依赖拆掉。
方法论AI协作工作流工程思维 - AIJuly 19, 20266 min
The Benchmark Bill for Three Subscriptions: K3 for Volume, Claude for Quality, GPT for Spikes
Kimi K3 shipped with 14 head-to-head benchmarks. I transcribed both charts line by line and mapped them against my own usage: K3's five wins are all high-frequency grunt work (long-horizon agentic, web research, automation), Fable 5's six wins are all desk-quality work, GPT-5.6's two wins are peak-brain work. Route by task personality: K3 for volume, Claude for quality, GPT for spikes — full routing table inside.
AI toolsmodel selectionworkflowKimi - AIJuly 16, 202611 min
Say It Clearly: A Full Postmortem of Working with AI
I co-wrote a technical proposal with AI — dozens of rounds from first draft to final. The potholes weren't the valuable part; the postmortem was: almost every one traced back to the same thing — when, and how clearly, the initial conditions and boundary conditions were stated. One sentence before kickoff beats ten rounds of corrections. Ends with a 30-second briefing checklist that works for AI and human collaborators alike.
AI collaborationpostmortemmethodologyworkflow - AIApril 13, 20265 min
Building an Enterprise-Grade Claude Code Harness
From 43 commands to 14 skills, from hook automation to MCP integration — a complete engineering methodology for LLM toolchains.
aillmclaudedeveloper-toolsautomation - AIApril 12, 20264 min
MCP in Practice: An Agent Ecosystem from Code Search to Gmail
Three MCP servers, 512+ session records, semantic search — how to build an AI Agent toolchain that actually gets used daily.
aiagentmcpllmclaude