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 Gemini 2.0 and reasoning models that waste your Razorpay dispute budget
Reasoning models aren't always better for dispute responses, and Gemini 2.0 doesn't replace your entire stack. Learn which model fits which task to cut costs without sacrificing quality.
5 myths about GPT-4o and Gemini 2.0 that waste your Razorpay dispute budget
Newer AI models aren't always better for handling payment disputes. A jewellery store's real test shows older, faster models like Gemini Flash often win on speed and cost.
5 myths about new AI models that waste your USD budget on WhatsApp commerce
Newer AI models don't always justify their cost for WhatsApp shops. We tested real customer messages and found that expensive reasoning models often waste money on simple queries like stock checks and delivery questions.
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 Auto routing for 140 Takealot return emails during load-shedding: which model it picked per query
I tested AI auto routing on 140 return emails during load-shedding. Here's which model handled each query type and what it cost versus hiring a VA.
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.
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.
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.
5 myths about new reasoning models that waste your Razorpay automation budget
Reasoning models aren't always the answer for Razorpay automation. Learn which tasks actually need them—and which ones waste your budget.
5 myths about new AI models that waste your USD budget and EcoCash bundles
Switching to the newest AI model won't always save money or improve results. We debunk five myths that waste USD budgets and EcoCash bundles for African traders and small businesses.
5 myths about new AI models that waste your Razorpay and UPI automation budget
Newest models aren't always better for payment reconciliation and invoice extraction. We tested the myths—here's what actually matters for your automation budget.
I explained tokens, context windows and hallucinations to my Etsy team — what finally made sense
A practical guide to understanding how AI models work: what tokens cost, why context windows matter, and how hallucinations happen—explained through real Etsy and e-commerce examples.