LLM agents can reason, plan, and call tools, but they do not automatically understand what your business objects mean. Ontologies and knowledge graphs give agentic systems a shared model of…
Enterprise AI does not fail because models change. It fails because model routing, permissions, guardrails, audit, and agent actions are scattered across every application. The answer is to design a…
A 2025 randomised trial found experienced developers were 19% slower with AI tools while believing they were 24% faster. The fix isn’t better AI. It’s better engineering discipline.
Here is a sentence that would have been absurd three years ago: markdown is becoming a programming language. Not metaphorically. Not in the way people say “YAML is the new…
A practical guide to the foundational concepts, mental models, and building blocks that make modern AI work—and work for you. There’s a moment, familiar to anyone who’s tried to follow…
How multi-agent AI systems are actually working and failing in production.
You’re running AI in production. Things are going well — users love it, the team is shipping features, and then the invoice arrives. $2,400/day on API calls. For what started…
You know that moment when your AI assistant loses the plot halfway through a complex task? You asked it to research a topic, draft a document, update a repo, and…
Case Study: Building a Multi-Agent AI Ecosystem for Business Operations Challenge A technology consultancy needed to scale its operational capacity without scaling headcount. The team handled a wide range of…
Cloud Infrastructure for Scalable Bioinformatics Workflows Client: A US-based bioinformatics company Domain: Life sciences / Bioinformatics Platform: Google Cloud Platform Core Technology: Galaxy Server Challenge The client, a US-based bioinformatics…