AI Engineer | Working with Agents I build AI explainers with code deep dives on YouTube
We keep asking AI models to generate text for problems that don't require text at all. Should this request go to the cheap model or the expensive one? Is this tool call risky? Is this support ticket
If you build AI agents, you've heard of MCP. If you haven't built one yet, this article walks you through it end to end. MCP is the Model Context Protocol. It's the standard for connecting agents to
If you're building an AI agent in 2026 and you're not sure what stack to use, this article is for you. I've shipped agents in production for the last 18 months. I've watched 30+ teams try to build
When people talk about frontier AI... The conversation usually starts with OpenAI. Then Anthropic. Maybe Google. But quietly, another company has been closing the gap at an incredible pace. Alibaba.
For the last two years... Everyone talked about prompt engineering. "Use this magic prompt." "Add these words." "Try this secret template." People believed the perfect prompt was the key to better AI.
When DeepSeek released R1... It shocked Silicon Valley. Not because it was the smartest AI. Because it proved something nobody expected. Frontier-level AI didn't have to cost frontier-level money. Now
When Anthropic announced Claude Opus 5, many people had the same reaction. "Wait... didn't they just release Fable 5?" Exactly. So why launch another flagship model only weeks later? Because Anthropic
A year ago, choosing an AI model was easy. If you wanted the best performance, you paid for GPT. Or Claude. Open-weight models weren't even part of the conversation. Today? That's no longer true.
Most AI apps waste money. Not because the models are bad. Because they send every request to the most expensive model. Imagine asking a PhD scientist: "What's 2 + 2?" It's correct. But it's also
One of the biggest myths in AI today is this: "AI detectors can tell if ChatGPT wrote your text." Sounds reassuring. There's just one problem. That's not actually how they work. And if you've ever
A year ago... The answer was obvious. Need the best AI? Use GPT. Or Claude. Open-source models weren't even close. Fast forward to today. Llama. Qwen. DeepSeek. Mistral. GLM. Kimi. The gap has become
Most people compare AI models like this: GPT-5.6 $X per million tokens. Claude Fable 5 $Y per million tokens. Gemini $Z per million tokens. Then they declare a winner. That's like buying a car based
