AI, voice agents & platform engineering
Long-form posts on voice AI, WhatsApp automation, RAG, and building production-grade customer platforms.
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19 min readAs OpenAI Goes to Washington, Anthropic Goes Viral: How the Pentagon Feud Fueled Growth for Claude
As OpenAI Goes to Washington, Anthropic Goes Viral: How the Pentagon Feud Fueled Growth for Claude What happens when the most advanced AI companies in the world collide with the priorities of the Pentagon? In early 2026, that question went mainstream as Anthropic—the AI startup behind the viral Clau…
Read moreBuilding an AI Data Governance Framework in 2026
Every team shipping AI in production discovers the same problem eventually: the model is only as trustworthy as the data that trained it and the data that feeds it at inference time. Data governance for AI is a discipline that sits between traditional data management and MLops. It asks harder questi…
Read moreUsing Synthetic Data to Train and Fine-Tune LLMs in 2026
Real training data is expensive, scarce, and legally complicated. Synthetic data offers an alternative. In 2026, it is mainstream for pre-training, fine-tuning, and benchmarking. When Synthetic Data Works 1. Data augmentation: Increase training set size in niche domains. 2. Privacy-sensitive domains…
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