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 15 articles
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
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
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
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 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
Evaluating cheap AI models in production requires looking past the sticker price. Discover how structural retry taxes and hidden compute blo...
Framesta Fernando
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
Four agents. Eleven days. One $47,000 invoice. Dashboards showed the spend. Alerts fired at every threshold. The provider cap never triggere...
Framesta Fernando
Six MCP servers inject 90,000 tokens into every request before the model reasons. That is roughly $8,100 per month in pure schema overhead o...
Framesta Fernando