Insights & updates
ATL CLI: the terminal workflow
ATL runs in your terminal and handles scaffolding, debugging, and deploy configs in one place.
What is a token and why does it matter for your AI bill?
Understanding API pricing starts with understanding tokens. We break down exactly what they are, how they're counted, and how to predict your monthly AI spend.
Open source vs closed sourced models: what's the real difference
The debate isn't just about price. We explore the real trade-offs between open-weights and proprietary models regarding safety, customization, and latency.
How AI coding agents actually work step by step
From writing code to running terminal commands — pulling back the curtain on tool calling, agent loops, and how agentic frameworks actually execute your instructions.
MCP Explained: how AI tools are starting to talk to each other
The Model Context Protocol is changing how AI interacts with your system. Here’s how AI tools are starting to natively talk to each other.
How to price your SaaS: a breakdown of real margin math
Stop guessing your pricing. We break down real margin math, hosting costs, and how to structure a SaaS that actually scales profitably.
A beginner guide to fine tuning open source AI models
A step-by-step guide to taking an open-source model and tuning it for your specific use case, without spending thousands on compute.
Choosing your first mini PC for local AI: what specs actually matter
RAM, GPU VRAM, or storage? We cut through the jargon to tell you exactly which specs matter when building a local AI machine.
Why free AI tier costs companies real money (and why that's ok)
Offering a free tier is expensive. We explain why companies absorb these costs, the math behind it, and why it’s a sustainable growth strategy.
The real cost of training an AI model, broken down
GPUs, electricity, and data — training a frontier model costs millions. We break down the exact infrastructure and financial layers behind AI training.
What export controls and AI models bans actually mean for developers
With new regulations rolling out, what do AI bans actually mean for the average developer? We translate the legal jargon into practical impacts.
Why offline-first AI matters and what you give up by going cloud only
Cloud AI is convenient, but what happens when you need privacy, zero latency, or no internet? Here is why offline-first AI is making a comeback.
What nobody tells you about launching an Artificial intelligence company on a tight budget
The unfiltered reality of bootstrapping an AI startup — hidden infrastructure costs, API provider traps, and how to survive your first year without VC funding.