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 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 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 Auto routing for 200 Shopify returns after Black Friday: which model it picked per query
I tracked 206 post-Black Friday returns through Kryotta's Auto routing to see which AI model handled each query type. Here's what the system chose for refunds, exchanges, damaged items, and policy questions.
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.
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.
I used AI in 5 Nigerian businesses for 60 days: checklist of what worked per industry
I tested AI across five Nigerian business types for two months. Here's what actually saved time and money per industry—and what still needs human judgment.
5 myths about AI in restaurants and healthcare that waste your automation budget
Most businesses waste their AI budget chasing flashy use cases. The real ROI comes from automating unglamorous admin work—reservation confirmations, vendor emails, intake forms—that costs money when done manually.
I used Claude vs Gemini to process 90 Yoco settlement reports during load-shedding
I tested Claude and Gemini to process 90 days of payment settlement reports during Cape Town's load-shedding crisis. Here's which AI model handled interruptions, deduplication, and reconciliation better.
I used 5 prompt templates to reply to 300 Flipkart and Meesho vendor messages: which formula per task
I tested five AI prompt templates on 300 vendor messages across Flipkart, Meesho, and WhatsApp. Here's which formula worked best for order confirmations, delays, pricing, invoices, and follow-ups.
I used AI to process 80 Companies House sole trader invoices in one afternoon: step by step
I tested Claude and Gemini on 80 sole trader invoices: structuring data, verifying Companies House records, and calculating UK VAT. Here's what worked, what failed, and what I'd do differently.
I used AI to write 100 Stripe dispute responses in one week: which model won
I tested Claude, Gemini, and DeepSeek on 112 Stripe disputes after Black Friday chaos. Here's which model won the most cases—and why.