The Kryotta blog
Guides and comparisons on working with every AI model — Claude, Gemini, Llama, Mistral, DeepSeek and more — plus what we're building.
I used 3 reasoning models to debug 30 Razorpay webhook signature failures: which one per error
I tracked 30 Razorpay webhook signature failures across Claude Sonnet, Gemini Pro, and DeepSeek R1 to see which model caught each error type fastest and cheapest during peak season traffic spikes.
I used 3 AI models to write 120 Black Friday email sequences: which one per open rate
I tested Claude, Gemini, and GPT-OSS writing 120 Black Friday email sequences for my Shopify store. Here's which model won on open rates—and why the difference actually mattered.
5 myths about tokens and context windows that waste your USD budget on AI
Tokens aren't stored bundles, and context windows aren't free memory. Two myths that drain your AI budget fast—and how to fix them.
I paid ₦32,000 for ChatGPT Plus then built the same workflow for ₦18,000: the breakdown
I paid ₦32,000 monthly for ChatGPT Plus without realising currency volatility was inflating the cost. Then I audited my actual usage and built the same workflow for ₦18,000 using cheaper alternatives.
I used AI to answer 6 questions about e-commerce, healthcare and restaurants
I tested AI on real business problems: GST invoice extraction, WhatsApp customer replies, and more. Here's what actually worked and what still needs a human touch.
I used AI in 6 Indian industries for 60 days: what it actually does in e-commerce vs healthcare vs restaurants
I tested AI across six Indian small businesses for two months. Here's what actually worked—and what created more problems than it solved.
I used AI in 6 EU industries for 30 days: what it actually does in e-commerce vs healthcare vs restaurants
A Rotterdam consultant tested AI across healthcare, e-commerce, and restaurants for 30 days. Here's what actually worked—and what didn't.
I used 4 prompt templates to reply to 250 WhatsApp customer orders: which formula per task
I tested 4 prompt templates across 250 WhatsApp customer orders over three weeks. Here's which formula reduced follow-ups, sped up replies, and made my shop look organised.
I used Claude vs o1 to debug 28 Stripe webhook race conditions: which model per bug
I debugged 28 Stripe webhook failures using both Claude and o1. Here's which model caught each bug, and why one excelled at spotting race conditions while the other was faster at obvious errors.
I made 45 product Reels for Takealot with Luma and Nova: which style passed review and got clicks
I generated 90 product videos using Luma Ray 2 and Nova Reel to meet Takealot's Black Friday deadline. Here's which AI video style passed review and actually drove clicks.
I used Auto routing for 190 Zalando and Bol return emails: which model it picked per query
I processed 190 return emails across Zalando and Bol using AI auto routing. Here's which model the system picked for each query type, and whether it actually saved time.
I used 4 prompt templates to write 180 eBay listing descriptions: which formula per category
I tested four prompt templates across Claude, Gemini and Llama to write 180 eBay listing descriptions in two weeks. Here's which formula and model worked best for electronics, vintage fashion, collectibles and home goods.