AI
Everything we publish on AI: the models we run on our own machines, what the tools send home, the benchmarks we measure ourselves and the claims we check against the code. Start with the investigations, then the guides.
Behind-the-scenesHow to Evaluate Open-Source AI Tools: The Atlas Method
A look inside the Atlas, the studio's running record of every local AI tool we test. The same template for…
Case StudiesWe Replaced Our Paid AI Tools With Open-Source Local Ones
A real swap, not a thought experiment. We took the paid AI tools the studio was leaning on and replaced…
Builds & ToolsWiring OpenCode to a Local Model: A Build Walkthrough
An OpenCode local model walkthrough, not a brochure. We wired a coding agent to a model on our own machine…
Builds & ToolsThe three layers of a local AI stack, and what to skip
The local AI stack we run every day: compute, model and tools. What we chose, what we rejected, and the…
AnalysisThe Hidden Costs of ‘Free’ Cloud AI Tiers
A free cloud AI tier does not cost zero. It costs something other than dollars: your data, your reliability, your…
InsightsAgentic AI explained: what it changed for local AI
Agentic AI explained without the hype. Stripped down it is one real shift: a model that answers questions became a…
InsightsLocal Deep Research vs Perplexity and the Cloud
Local deep research vs Perplexity: a research engine on your own machine keeps every query private and charges nothing per…
InsightsOpen WebUI vs Jan: The Local ChatGPT, Picked
Open WebUI vs Jan: two ways to put a private ChatGPT in front of someone. A feature-rich browser workspace, or…
AnalysisDo you need an agent framework? smolagents, and when to skip it
Do you need an agent framework at all? smolagents vs the alternatives, and why most of the noise is selling…
InsightsIs Local AI Good Enough to Replace the Paid Tools?
Is local AI good enough to replace the paid tools? For most of what you do in a day, yes.…