AI & Product
Build note và decision guide về practical AI, product system, prototype và cách đưa phần mềm vào sử dụng thực tế.
From Copilot to Agent: When Should AI Be Allowed to Take Action?
For the past few years, most business AI systems have operated in a relatively safe role. They answer questions, summarize documents, draft emails, suggest next steps and help employees work faster. The human remains the final decision-maker and, more importantly, the final actor. AI may...
en · 30 thg 8, 2026
Your First Enterprise AI Agent Should Do One Job Extremely Well
When companies first begin exploring AI agents, there is a strong temptation to think broadly. If a model can search documents, understand natural language, call APIs, write emails, update a CRM and generate reports, it seems inefficient to restrict it to a single task. Why build a support agent...
en · 29 thg 8, 2026
What It Actually Takes to Put an AI Agent Into Production
It is surprisingly easy to make an AI agent look useful. Give a capable model access to a few APIs, connect it to a document store, describe its role in a system prompt and ask it to complete a familiar workflow. In a demo, the result can be impressive enough that the next question seems...
en · 28 thg 8, 2026
Why Most AI Agents Never Make It to Production
AI agents are increasingly easy to demonstrate. Give a model access to a few tools, connect it to some company data, add a prompt that describes its role, and within a few hours you can have something that looks remarkably capable. It can search documents, summarize information, create tickets,...
vi · 20 thg 8, 2026
Từ AI prototype đến production: phần khó không còn nằm ở prompt
AI prototype có thể được tạo rất nhanh, nhưng production readiness phụ thuộc vào permission, evaluation, observability, integration, human approval và operational controls.
en · 9 thg 8, 2026
Better Models Will Not Eliminate AI Implementation Services
As frontier models become cheaper, smarter, and easier to access, the value of simply providing “AI access” will collapse. But the work of redesigning workflows, integrating systems, governing agents, measuring outcomes, and changing how organizations operate is becoming more important, not less.
en · 8 thg 8, 2026
A Domain Prompt Is Not a Vertical AI Product
Adding “You are an expert in this industry” to a system prompt can improve an AI demo. A real vertical AI product requires domain data, tools, workflows, evaluation, permissions, compliance, and a clear operating model around the model.
en · 7 thg 8, 2026
AI Platforms Are Becoming Cloud Infrastructure
Production AI is moving far beyond APIKEY + prompt. As agents become part of real business systems, AI platforms are acquiring the same operational primitives that made cloud infrastructure manageable at scale.
en · 6 thg 8, 2026
The New Operating Model for Human–Agent Teams
When AI agents stop merely assisting people and begin executing work, organizations need to redesign delegation, authority, review, escalation, and accountability—not just adopt better tools.
en · 5 thg 8, 2026
AI FinOps: The Missing Discipline in Agentic Software Development
AI systems do not consume infrastructure in predictable ways. They reason, retry, call tools, search, escalate, and sometimes involve humans. Managing their economics requires more than a token dashboard.
en · 4 thg 8, 2026
Your AI Architecture Needs a Model Exit Strategy
AI models are unusually short-lived production dependencies. The question is not whether the model behind your application will change, but whether your architecture is prepared when it does.
en · 3 thg 8, 2026
Prompt Injection Is Application Security Now
When an AI system can only generate text, prompt injection is mostly a reliability problem. When an agent can browse, read private data, execute code, and take actions, the same weakness becomes an application-security boundary.
en · 2 thg 8, 2026
AI Plugins Are the New Software Supply Chain
As AI systems become extensible through skills, apps, MCP servers, and reusable agent workflows, installing a capability starts to look less like adding a prompt and more like adding a software dependency.
en · 1 thg 8, 2026
Engineering Teams Don’t Buy Tokens. They Buy Accepted Outcomes.
The cheapest model is not necessarily the cheapest way to get useful work done. Production AI economics should be measured around successful work, not inference alone.
en · 31 thg 7, 2026
The Enterprise AI Battle Is Moving From Models to the Control Plane
As AI moves from answering questions to performing real work, the strategic layer is shifting from model intelligence toward the infrastructure that governs identity, permissions, policies, evaluation, and accountability.
en · 2 thg 7, 2026
June 2026 and 4 Surprising Ways AI Just Became Your Newest Teammate
The Death of the Prompt and the Birth of the Agent
en · 30 thg 6, 2026
5 Surprising Ways Claude Cowork is Rewriting the Rules of Work
Modern knowledge work is navigating a paradigm collapse. For years, we have normalized a quiet, persistent chaos: “Downloads” folders that…
en · 28 thg 6, 2026
The Sovereignty Shift and the Pratfall Effect: Navigating the 2026 Human-AI Inversion
1. Introduction: The Noise Before the Shift
en · 23 thg 6, 2026
From Vibe Coding to One-Person Empires: 7 Surprising Truths About the 2026 AI Revolution
1. Introduction: The Death of the “Weekend Project”
en · 22 thg 6, 2026
Why Everything You Know About AI Agents is About to Change: 5 Surprising Takeaways from the…
The popular dream of autonomous AI agents depicts a seamless digital worker — a perfectly capable entity that simply “gets things done.”…
en · 18 thg 6, 2026
6 Surprising Strategies to Master Claude Code and Secure Your Codebase
1. Introduction: The Shift from Chatbot to Agent
en · 14 thg 6, 2026
Your AI Isn’t Getting Smarter, It’s Seeing the Wrong World
The context shift that quietly redefined AI systems from 2025 to 2027.
en · 31 thg 5, 2026
We Thought We Were Programming AI — We Were Just Talking to It
Why prompt engineering worked… until it didn’t
en · 17 thg 5, 2026
Context Is the System
Why most AI failures are actually information failures
en · 3 thg 5, 2026
The Rise of the Harness
Why intelligence needs a runtime
en · 18 thg 4, 2026
2027: The Age of Chaos Systems
Why reliability won’t come from smarter agents?
en · 14 thg 2, 2026
The Agentic Pivot: Why 2026 Is the Year AI Finally Takes the Wheel
1. Introduction: The Year the Chatbot Grew Up
en · 12 thg 2, 2026
The AI Bowl: 5 Takeaways from the Weekend AI Went Truly Mainstream
The physical rivalry on the gridiron of Super Bowl LX was merely a sideshow to the fiercer competition occurring during the commercial…
en · 10 thg 2, 2026
The Intelligence Infrastructure Era: 7 Surprising Takeaways from the AI Frontier
In January 2026, the “capability overhang” has reached a breaking point. For years, we’ve lived with a widening gap between the raw power…
en · 10 thg 2, 2026
A Simple Astro UI Relayout Tip with Claude Code
Today, I want to share a simple but surprisingly effective tip for relayouting my blog UI built with Astro. This is the current state of…
en · 17 thg 1, 2026
A Compact Tool Stack for Shipping AI-Native MVPs
The idea of “vibe coding” is simple: move from intuition to execution as fast as possible, and let AI absorb as much friction as it can…
en · 9 thg 9, 2025
From SaaS to AI-Native: A Framework for Founders
Over the last decade, SaaS has become the dominant model for software delivery.
en · 7 thg 9, 2025
AI’s Turning Our Words Into a Global Smoothie, and I’m Kinda Dizzy
They’ll have to wrestle the slang from my jet-lagged, human mouth
en · 6 thg 9, 2025
Marc Lou: The Indie Entrepreneur’s Success Story
Today, I just wrote about one of my favorite indie hackers, Marc Lou. If you’ve been in the indie dev or solopreneur space for a while…
en · 5 thg 9, 2025
How to Start Learning and Applying New AI Trends Easily
Artificial intelligence is reshaping how we work, learn, and handle everyday tasks. But you don’t need a tech degree to keep up, today’s AI…
en · 27 thg 8, 2025
The “Solution-First” Problem
What is it?
en · 25 thg 8, 2025
AI-Native Apps: Why Vertical SaaS with Built-in AI Is the Future
We’re at a turning point in software. AI is no longer just an exciting feature to bolt on; it’s becoming the foundation of how apps are…
en · 22 thg 8, 2025
From Idea to Income: Winning in the AI Boom
We’re living through one of the most exciting and overwhelming shifts in tech history.
en · 17 thg 8, 2025
The Great Emoji Purge Needs to End
They’ll have to rip the “heart-eyes emoji” from my lifeless fingers
en · 10 thg 8, 2025
The Over-Promise Trap
This trap wastes time, damages credibility, and can derail projects if not addressed early…
en · 9 thg 8, 2025
What happens when building software becomes too easy?
The coding model is getting better and better, so everyone can build their own apps very easily.
en · 31 thg 7, 2025
From Builder to AI Founder: My Mid-2025 Self Check
We’re not in 2020 anymore.
en · 30 thg 7, 2025
AI Is Rewriting Language, and I’m Not Sure We’re Ready
They’ll have to yank the keyboard from my weary, human hands
en · 20 thg 7, 2025
Your Friendly Guide to Becoming AI-Savvy, No Tech Skills Needed!
Have you felt overwhelmed by seemingly endless new AI (Artificial Intelligence) tools popping up every week? Do terms like “smart agent” or…
en · 19 thg 7, 2025
You will never have to spend hours doing boring things again.
On July 17, 2025, OpenAI introduced ChatGPT Agent, a new feature that transforms ChatGPT from a simple chatbot into a “digital task agent”…
en · 18 thg 7, 2025
Part 2: The Explosion of AI Models After ChatGPT
When ChatGPT launched in November 2022, it not only ushered in a new era of artificial intelligence (AI), but also ignited a competitive…
en · 14 thg 7, 2025
ChatGPT — The Fire That Opened the Modern AI Era
ChatGPT’s 2022 launch by OpenAI made AI accessible, transforming work and tech interaction.