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 Production
9 articles
Framesta Fernando 
AI Agent Budget Enforcement: The $47,000 Gap Between Dashboards and Control
Four agents. Eleven days. One $47,000 invoice. Dashboards showed the spend. Alerts fired at every threshold. The provider cap never triggere...
Framesta Fernando 
MCP Server Sprawl: The Quiet Token Bill That's Eating Your AI Margin
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 
The LangChain Exit: Why Production Teams Are Quietly Rewriting to Raw SDKs in 2026
LangChain 1.0 shipped in October 2025 after three years of v0.x breaking changes. Production teams are quietly migrating to OpenAI Agents SD...
Framesta Fernando 
The xhigh Effort Trap: Why Opus 4.7's Recommended Default Is Quietly Inflating Your Agentic Bill 40%
Opus 4.7 introduced xhigh as the new default effort level for coding and agentic workloads. It produces 1.5-1.7x more output tokens than med...
Framesta Fernando 
OCR Is Dead, the Bill Doesn't Know Yet: Why Opus 4.7's 98.5% Visual Acuity Just Collapsed the Document AI Stack
Claude Opus 4.7 jumped from 54.5% to 98.5% visual acuity overnight, with 3.75MP image support. For teams running Textract plus parser plus L...
Framesta Fernando 
The Opus 4.7 Tokenizer Tax: Why Anthropic's 'Unchanged Pricing' Just Quietly Raised Your AI Bill 35%
Anthropic kept Opus 4.7 at the same $5/$25 sticker price as Opus 4.6. But the new tokenizer inflates input tokens up to 1.35x and the xhigh...
Framesta Fernando 
Multi-Agent Orchestration: The Handoff Problem That Quietly Destroys Production Systems
The real killer in multi-agent systems isn’t model intelligence. It’s the silent failure when one agent hands off to another. Most teams ass...
Framesta Fernando 
AI Agents in Production: Why 78% of Pilots Never Reach Scale
78% of companies are running AI agent pilots, but only 14% make it to meaningful production. The other 64% are quietly burning budget in pil...
Framesta Fernando