Notes from the team behind Kahlo.

Claude Projects and ChatGPT Projects solve the same problem differently — and neither lets you compare models inside one.

There's no single cheapest way to use Claude, GPT and Gemini — just a few real cost levers worth knowing and combining.

ChatGPT Plus and the API aren't the same product at different prices — here's the real break-even math for choosing between them.

Zero data retention sounds absolute, but it has real limits — approval requirements, model carve-outs, and what it doesn't cover.

Plenty of apps promise every AI model in one subscription — not all of them are legit. Here's what to actually check first.

Better prompts aren't enough anymore. Here's how context engineering differs from prompt engineering, and why it matters for reliable AI.

ChatGPT, Claude, and Gemini all train on consumer data by default — here's what each actually does, and how to opt out.

Combining AI models works best with a real pattern behind it. Here are the four that actually make a workflow reliable.

Different AI models rarely give the same answer — and that's not a flaw. Here's what actually causes the variation.

More stored memory isn't better memory — it's often just noise. Here's how to structure AI memory so it stays useful.

AI is evolving from simple chatbots into workspaces that keep projects, files, memory, and models connected in one place.

One AI subscription or several? The real answer depends on total cost, not sticker price. Here's how to run the math.

Switch between AI models without rebuilding your context, re-uploading files, or restarting your work.

One AI model can't spot its own blind spots. Here's why comparing independent models is how you actually catch them.

AI debate can sharpen answers or entrench wrong ones. Here's what 2026 research says actually makes it work.

AI orchestration means routing prompts to the right model and cross-checking the ones that matter. Here's how it works.