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 35 SEPA direct debit failures: which one per error type
I tested o1, Gemini 2.0 Flash Thinking, and DeepSeek R1 on 35 real SEPA direct debit failures. Here's which model solved each error type fastest and cheapest.
I made 40 product shots for Shopify with Stability AI then shot real photos: which got more add-to-carts
I generated 40 AI product shots and compared them to real photography across three Shopify stores over 30 days. Here's what actually drove add-to-carts—and where AI images tanked.
I used 4 prompt templates to write 150 Royal Mail delay emails: which formula per situation
I tested 12 prompt formulas for handling Royal Mail delays and found 4 that work. Here's which template to use for each situation—and why the others failed.
I used AI in 6 industries for 90 days: which tasks it finished vs which needed me
I tested AI across six UK businesses for 90 days. Certain tasks—customer replies, invoices, first drafts—came back ready to send. Others, like VAT reconciliation and judgment calls, needed me every time.
5 myths about model per task for debugging that waste your freelance rupee budget
Stop burning rupees on expensive models for every bug. Here's what actually works: route simple syntax errors to Haiku, save Opus for race conditions, and use reasoning models when production fails only under load.
€19 for ChatGPT Plus or €12 for six AI models: the real cost breakdown for EU stores
ChatGPT Plus costs €34–€38 monthly for EU stores once you add VAT, API charges, and payment fees. Kryotta's €12 plan includes six AI models with no hidden costs.
I used 3 AI models to write 80 Cyber Monday email sequences: which one per open rate goal
I tested Claude, Gemini, and GPT on 80 Cyber Monday emails across three segments. One model dominated abandoned-cart recovery. Another crushed VIP messaging. Here's which AI wins for each goal—and why the prompt matters more than the model.
I used 5 explainer prompts to teach my team tokens and context windows: which one clicked
I built five AI prompts to teach my team about tokens and context windows. Three worked perfectly. Here's which explanation finally made the concepts click—and what I'd do differently.
I explained tokens, context windows and hallucinations to my Meesho vendor team — what finally made sense
I tried teaching my vendor team how AI actually works—tokens, context windows, hallucinations—using their own work. Some analogies flopped. Here's what finally clicked.
I used 4 AI models to write 100 GDPR data requests in one week: which one per case
I cleared a 103-request GDPR backlog in one week using Claude, Gemini, DeepSeek, and GPT-OSS. Here's which model handled each request type fastest and why it cost only €8.30.
I used 5 prompt templates to write 200 Shopify refund emails: which formula per situation
I handled 200 refund requests in one week using five AI prompt templates. Here's which formula I used for each situation, the exact prompts, and why switching between Claude and Gemini kept my approval rate at 30%.
I made 30 product shots for Takealot with Stability AI during load-shedding: which prompts passed review
I generated 30 product shots with Stability AI during load-shedding to meet a Takealot deadline. Twenty-three passed review. Here's what the prompts needed to work.