Your Fine-Tuned Model Expires in 90 Days
Fine-tuning deprecation is the cost nobody amortizes: your fine-tune is built on a base snapshot that gets retired, and your knowledge goes...
Framesta Fernando LLM
16 articles
Framesta Fernando 
Your AI Agent Is Regressing and You Can't See It
AI agent evaluation cost is the budget line nobody plans, so quality regresses silently. Without an eval harness, a prompt tweak degrades th...
Framesta Fernando 
The 50% AI Discount Hiding Behind "Async"
Batch inference cost is half the price of real-time, yet teams run everything synchronously. Most LLM work does not need to be instant. The...
Framesta Fernando 
Stop Asking RAG vs Fine-Tuning. Ask This.
RAG vs fine-tuning cost is the wrong question. The real axis is cost-per-query versus cost-per-update. Which one bankrupts you depends on ho...
Framesta Fernando 
Token Prices Fell 99%. Your AI Bill Didn't.
Token prices keep collapsing, yet AI bills keep climbing. The effective token cost barely moved in 2026. Why the price-drop headline is a tr...
Framesta Fernando 
Prompt Caching: The 90% Bill Cut You Never Turned On
Prompt caching is the highest-ROI LLM cost lever in 2026, and most teams leave it off. How it cuts input token cost 60 to 90 percent, and th...
Framesta Fernando 
The Cheap Token Illusion: Why Low-Cost AI Models Bleed Production Margins
Evaluating cheap AI models in production requires looking past the sticker price. Discover how structural retry taxes and hidden compute blo...
Framesta Fernando 
The Token Bloat Trap: Stop Paying LLMs to Read DOM Trash
LLM token cost optimization requires stopping the practice of sending raw HTML to frontier models. Learn why shifting data cleaning to local...
Framesta Fernando 
The 1M Token Lie: Why Massive Context Window Cost is Destroying SaaS Margins
Replacing RAG with a 1M token context window feels like a productivity hack. In reality, massive context window cost acts as a silent margin...
Framesta Fernando