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 Claude vs Gemini to write 100 Klarna dispute responses: which one per claim
I tested Claude and Gemini on 103 real Klarna disputes from my outdoor gear shop. Claude won overall, but each model dominated different claim types—here's which one to use for what.
I used 4 prompt templates to write 200 eBay buyer messages: which formula per situation
I tested four structurally different prompt formulas across 200 real eBay messages and watched my rating climb from 4.9 to 4.8. Here's which formula works for each situation.
I used Compare to test 4 AI models on 90 M-Pesa dispute responses: which one per claim
A Nairobi kitchenware seller tested four AI models on 90 real M-Pesa disputes to find which one handled each claim type best—and cut response time from hours to minutes.
5 myths about prompt templates for WhatsApp Business that waste your automation budget
I wasted ₹18,000 on WhatsApp automation chasing myths about template design. One flexible prompt structure cut my manual work from 42% to 11% and dropped costs by 60%.
I used Claude vs Gemini to write 100 Etsy return policies: which one reduced disputes
I tested Claude and Gemini by writing 100 Etsy return policies across eight shops. Claude reduced disputes by 41%, Gemini by 28%. Here's what worked.
I used Auto routing for 150 Jumia return messages: which model it picked per reason
I processed 150 Jumia return requests using Auto routing and tracked which AI model it chose for each claim type. Wrong-size claims went to Gemini Flash Lite; damaged items to Claude Sonnet; late deliveries to GPT-OSS 120B.
I used 4 AI models to write 180 Paystack dispute responses: which one won per claim type
I tested Claude, Gemini, GPT-OSS, and Llama on 180 Paystack disputes over six months. The winner wasn't the same across all claim types—here's which model won per category and why.
I paid ₦35,000 for ChatGPT Plus then built the same workflow for ₦19,500: the breakdown
A Lagos fashion seller ditched ₦35,000/month ChatGPT Plus for a ₦19,500 multi-model setup. Here's how she split customer service, product listings, and dispute handling across Gemini Flash, Claude, and GPT-4o—and what actually broke.
I used 3 reasoning models to debug 25 EcoCash webhook failures: which one per error
I debugged 25 EcoCash webhook failures using three AI reasoning models. Each error type needed a different model—here's which one caught signature mismatches, timeouts, and rounding bugs fastest.
I made 55 product shots with Stability AI then Reels with Luma: checklist for what fails
I generated 55 product shots with AI and made 6 Reels. 32 failed. Here's the checklist I built to stop wasting renders on shadows that don't match, fabric that looks flat, and ads that don't convert.
I used 4 AI models to write 150 VAT return queries for HMRC: which one per case type
I tested 4 AI models writing 150 VAT return queries to HMRC across late filing penalties, input tax disputes, Making Tax Digital errors, and scheme eligibility questions. Here's which model handled each case type best.
I made 60 product shots with Stability AI then Reels with Luma: which format got WhatsApp orders
I generated 60 product images with Stability AI and made 20 Reels with Luma Ray 2 to test which format actually drove WhatsApp orders for my leather bag business. Here's what the data showed.