Field notes · Vahue research
Insights from the AI-Native frontier
Engineering playbooks, enterprise AI patterns, and lessons from shipping production LLM systems — written by the Vahue team.
Your Content Is Invisible to AI. Here Is the System That Fixes It.
A practical AEO playbook for making articles, guides, case studies, and product pages easier for ChatGPT, Gemini, Google AI Overviews, Perplexity, Claude, and other AI engines to understand, cite, and remember your business.
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What it feels like to work with Fable
Claude Fable 5 is a new Mythos-class model for long-horizon agentic work. I tested the shift on the recent Nvidia's "Hack for Impact" hackathon in London — PowerRanger, an EV fleet flexibility agent. While getting a win in the Economics category, got a few quirks.
Trump's AI order, decoded
A plain-English read of the June 2026 Executive Order on advanced AI innovation and security: the 30-day cyber sprint, voluntary frontier-model framework, and explicit bar on AI model licensing.
Deploying LLMs Securely in Enterprise Environments
A practical guide to integrating large language models with sensitive business data while staying compliant and secure.
Evaluating Code Data Sources for Training Large Language Models
A practical comparison of the major code dataset sources — from open-source repos to dedicated coding teams — and how to choose the right one.
The Case for Human-Written Code in LLM Training
Why human-authored code remains essential for building reliable coding assistants — and where synthetic data falls short.