The Kryotta blog
Guides and comparisons on working with every AI model — Claude, Gemini, Llama, Mistral, DeepSeek and more — plus what we're building.
5 myths about prompt templates that make your AI replies sound robotic
Templates don't make AI sound robotic—vague instructions do. A well-structured prompt locks in how the model thinks while leaving room for natural variation in tone and content.
Six questions about AI jargon answered: tokens, context windows, hallucinations and grounding
Tokens, context windows, hallucinations, and grounding sound intimidating, but they're just tools for understanding how AI models work and what they cost. Here's what you actually need to know.
7 prompt templates I use every day: emails, code review, listings and WhatsApp replies
Seven battle-tested prompt templates for emails, product listings, code reviews, and more. Each one solves a specific problem—saying no without burning bridges, writing listings that convert, giving feedback that lands.
5 myths developers believe about AI coding tools (and what actually works in 2026)
Developers often route every task through one AI model and expect it to excel everywhere. In reality, matching the right model to the right task—reasoning for debugging, fast models for quick questions, specialized tools for code review—is what actually works.
Six questions about AI subscription costs answered: which plan, hidden bills and multi-model value
I spent ₹14,000 on AI subscriptions before realizing I was paying for overlap. Here are six questions about choosing plans, hidden costs, and whether multi-model platforms actually save money.
Claude vs Gemini for coding: an honest two-week developer comparison (plus the DeepSeek surprise)
Not a benchmark — two weeks of real work on a Next.js app, a Python script and some ugly SQL. Where Claude Sonnet 4.5 pulled ahead, where Gemini's context and grounding won, and why DeepSeek R1 fixed the bug both missed.