Posts about ai-tools
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The Name Collision That Found Two Tools
When a dispatcher and an executor share a name, you don't have a naming problem. You have an architecture problem.
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When the Name Doesn't Fit
Naming as a design constraint: if a tool resists a name, the tool needs redesigning, not the name.
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Workflows, Not Containers
AI coding tools give you boxes to put things in. Biology suggests you should be thinking about how things flow instead.
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Inline Beats Reference for LLM Attention
When building AI scaffolding, put the knowledge where the decision happens — not in a reference the model is supposed to consult.
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The Silence of Missing Skills
The most dangerous failures in AI scaffolding are the ones that look like nothing happened.
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The Immune System Pattern
What biology already knows about self-healing systems, and why your automation probably isn't one
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The Lamp That Knows You
Disaster recovery for an AI-native workflow isn't about servers — it's about restoring a relationship.
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When Your Life OS Becomes the Life
The real risk of building a personal AI operating system isn't that a better tool appears — it's that your system's complexity becomes the thing you maintain instead of the thing that maintains you.
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I Made AI Remember to Remember
Most AI memory is either always-on or ephemeral. The missing category is prospective: remember until a context arises, then forget.
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Default to the Whole Conversation
When AI tools search conversation history, they should index both sides by default — not just the human's half.
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Save Conclusions, Not Just Rules
When an answer requires multi-step reasoning to reach, save the conclusion — a fresh start won't reliably reproduce the chain.
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Hooks Are Life Infrastructure
Event-driven hooks in AI coding tools aren't just for linting — they're programmable triggers for life routines, habits, and systems.
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Your AI Tools Should Watch You Fumble
The best time to improve a CLI isn't when it breaks — it's when you review the breakage log at the end of a work session.
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Building a Bus Alert System in One Session
How a real need on a Hong Kong bus turned into a GPS-powered alert system in under two hours
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The Wrong Metric: Why I Stopped Switching AI Models Mid-Session
Per-task model routing optimises cost per token. But at personal assistant scale, friction is the real cost.
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The Queue Should Live Where Your Thoughts Live
AI agent results should be push, not pull. The feedback loop should close on mobile. Most tools miss all three — not from ignorance, but because dashboards photograph better.
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The Queue That Texts You Back
Personal AI infrastructure should report results to you, not wait for you to go looking. A small architecture shift changes the whole dynamic.