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EMil Wu

AI Agent Article Series

AI Agent Developer Notes

From Model ≠ Runtime to Workflow Mindset — 11 in-depth articles covering the technical foundations and mental model shifts of AI Agents. If you have a technical background, start with the 7 Technical Framework articles, then read the 4 Mindset articles. If you're less technical but want to learn AI workflows, start with the Mindset articles and refer back to the Technical Framework when questions arise. I hope these articles help — if you find them useful, consider buying me a coffee using the button at the bottom of the page~

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Practical Tips 4: The Agent's Timezone Blind Spot — A 25-Hour Gap It Never Noticed

A daily email assistant Agent accumulated a 25-hour data gap due to timezone assumptions. Worse, even with evidence right in front of it, it never noticed it was missing emails.

Practical 8 min

Practical Tips 3: The Agent Reading Trap — Summaries Speed You Up, and Make You Miss

Agents default to summarized reading for everything, including code. Extracting Claude Code's 3,200-line /insights source revealed: three reading depths produce three quality levels — because subtle differences in code aren't redundant, they're deliberate design decisions.

Practical 8 min

Practical Tips 2: Packaging Your Skills as Plugins for Distribution

A real-world walkthrough of the Claude Code Plugin packaging workflow: structure design, dependency classification, environment variable handling, verification loops, and building a unified Marketplace. Includes a full pitfall log.

Practical 10 min

Practical Tips 1: The Agent's 'Known' Trap — What It Doesn't Say Is the Most Dangerous

Agents treat session context as implicit knowledge — omitting key info, hiding capability gaps, and turning temporary constraints into permanent rules. Three real-world cases reveal 'input-side hallucination' and a daily handoff ritual to prevent it.

Practical 12 min

Workflow Mindset

Articles #08–#11

Unprofessional Arrogance: When AI's Capability Becomes Your Illusion

Non-engineers overestimate their cognitive abilities thanks to AI — unprofessional arrogance. Reverse Dunning-Kruger, 17x error trap, Replit database deletion — AI works 99% of the time, but the fatal 1% hides where you can't see. The narrowest path between two arrogances is called humility.

Mindset 3 min

Professional Arrogance: When Engineering Experience Becomes AI's Ceiling

Engineers distrust AI due to experience-based frameworks — professional arrogance. METR research shows senior developers' productivity dropped 19% with AI — not because AI failed, but because they spent too much time questioning it. Expert + AI is still the best combo, but only if experience doesn't become a wall.

Mindset 4 min

Golden Circle 4: From Playbook to Execution — Plans Change, That's the Point

A Playbook is a recipe; an Execution Plan is tonight's prep list. From contextualized decision-making to a real case where the v1 plan hit a wall, understand why plans changing is normal — and what it means for Agent collaboration.

Mindset 8 min

Golden Circle 3: From Methodology to Playbook — The Three Operationalization Gaps

Methodology can't directly become a Playbook. The operationalization process requires three layers: facts, scenarios, and tools. From a 490-line mixed document split into three separate files, understand the essential difference between methodology and playbook.

Mindset 6 min

Technical Foundations

Articles #01–#07

Agent Team: When Subagents Aren't Enough

When a task requires multiple Agents to collaborate rather than simply being dispatched, Agent Team breaks the hub-and-spoke ceiling using mailbox communication channels and a shared task list — but the cost is 15x the token consumption.

Technical 5 min

Skill + Subagent: Combination Patterns and a Decision Model

Skill manages knowledge loading; Subagent manages Context isolation. The two can be combined into an Explore → Decide → Execute three-stage workflow, and cost considerations make the architecture decisions even sharper.

Technical 4 min

What's Actually the Difference Between a Skill and a Subagent?

Skills and Subagents don't live on the same layer. A Skill is the main Agent's knowledge module; a Subagent is an independent executor with its own Context. Choosing between them comes down to one question: does the intermediate process belong in the main conversation?

Technical 6 min

The Next AI Battle: Model Supremacy or Skill Ecosystem?

Putting the first three articles together reveals a clear picture: the center of gravity in AI competition is shifting away from the Model layer and toward the Skill ecosystem. Whoever builds the richest Skill ecosystem first holds the strategic high ground in the next round of competition.

Technical 4 min

Peripheral Resources

Tips & References


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