Ideas for a
connected future.
Practical writing about AI systems, engineering and human experience. Start with a question. Leave with a clearer way to think.
01
Let’s chatSYSTEMS / 01
↗02AI systems engineering: what comes after the prototype?
A practical guide to connecting models, data, tools and evaluation into an AI product that can be operated and improved.
INDIA / 02
↗03AI in India: build for the workflow, the language and the constraint
An engineering perspective on AI adoption in India, multilingual products, compute choices and practical first deployments.
AGENTS / 03
↗04AI agents or workflows? Choose the amount of autonomy you need
Understand agentic AI, fixed workflows, tool boundaries and how to decide when a model should choose the next action.
KNOWLEDGE / 04
↗05RAG and agent memory: give AI evidence it can actually use
How retrieval-augmented generation, provenance, permissions and durable memory fit together in an AI application.
DISCOVERY / 05
↗SEO, AEO and GEO: make expertise easy to find and understand
A practical approach to discoverability in search and AI answers: clear content, crawlable pages, evidence and accurate structured data.