The Kryotta blog
Guides and comparisons on working with every AI model — Claude, Gemini, Llama, Mistral, DeepSeek and more — plus what we're building.

Claude vs Gemini for VAT returns: I tested 50 B2C invoices and refund credits
I tested Claude Sonnet 4.5 and Gemini Pro on 50 real VAT invoices—UK sales, Irish cross-border, and refund credits. Here's which model handles each scenario correctly, and why format matters as much as math.

I used AI to reply to 180 Jumia return requests in one week: which model understood the refund policy
I tested Claude, Gemini and DeepSeek to auto-draft replies to 180 return requests after a clearance sale. Here's which model best understood Jumia's refund policy and customer frustration.

I used 3 AI models to review 60 pull requests: checklist for which model per task
I tested Claude, Gemini, and DeepSeek on 60 real pull requests. Each model excelled at different tasks—here's the checklist for which one to use when.

Claude vs Gemini for GST invoices: I tested 100 B2B bills and refund notes
I tested Claude and Gemini on 100 real GST invoices, credit notes, and inter-state bills. Here's which model got the tax splits right, which hallucinated HSN codes, and the prompts I now use weekly.

I used 3 AI models to debug a Paystack webhook: which one found the actual error
I ran the same broken Paystack webhook code through Claude, Gemini, and DeepSeek to see which AI model spotted the missing signature verification fastest—and what that tells us about debugging with AI.

Claude vs Gemini for Stripe refund emails: I tested 100 angry customer replies
I tested Claude Sonnet 4.5 and Gemini Flash on 100 real angry refund requests across three e-commerce stores. One model kept inventing tracking numbers. Here's what actually works.

I used Claude and Gemini to debug 30 Shopify checkout errors: which reasoning model actually found the root cause
I debugged 30 Shopify checkout errors using Claude and Gemini to see which reasoning model actually found the root cause. Here's what each one caught—and missed.