Section
Intelligence
AI tools, LLM operations, and the application layer of the intelligence revolution.
Coverage of how language models are actually being deployed in production — from agent design and evaluation infrastructure to the economics of vertical AI.
The Post-SaaS Era: Why Vertical AI is Eating the Horizontal Giants
Seat-based pricing is fracturing. Agentic AI is replacing manual workflows, and outcome-based contracts are reshaping the next decade of business software.
The Invisible Layer: How LLM Middleware is Capturing AI Value
Beyond foundational models, a new class of orchestration software is defining the unit economics of generative AI.
Agentic Workflows in Production: What Actually Breaks
Agent demos are easy. Agent reliability is not. A field report on what fails first.
RAG Architecture Patterns That Actually Scale
Naive retrieval-augmented generation falls apart at moderate scale. Here's what production RAG looks like in 2026.
Prompt Injection Is the New SQL Injection
And we are about ten years behind where we should be on defenses.
Why Small Models Are Quietly Eating Large Ones
Frontier capability is converging. Cost and latency are not. The economics now favor specialization.
AI Coding Assistants in 2026: Honest Productivity Numbers
Cutting through the demo theater to look at what AI tooling actually does to engineering velocity.
Open Source LLMs in the Enterprise: A 2026 Field Guide
When self-hosting pays off, when it doesn't, and what the real total cost looks like.
Evaluating LLM Quality Without Vibes
Why most AI product teams ship blind, and the eval discipline a few have built.
Fine-Tuning vs Prompting: The 2026 Verdict
When fine-tuning is worth the operational tax — and when prompting plus retrieval will outperform it.
The Pricing Crisis in AI-First Products
Token costs are variable. Customers expect predictability. The math is breaking margins.
AI Agents in Customer Support: The Real Performance Numbers
What three years of production deployment tells us about deflection rates, escalations, and CSAT.
Voice AI's Second Wave Is Real
Latency, accuracy, and naturalness have all crossed thresholds that change what's buildable.
AI-Native Coding vs Low-Code: Two Trends, One Question
Both promise to compress the build cycle. They are not converging on the same answer.