Srinath Therampattil — Staff Engineer at Airbnb with 15 years building enterprise platforms. Writing on agentic AI, Salesforce platform engineering, and making AI reliable on systems of record.https://srinaththerampattil.com/https://srinaththerampattil.com/blog/putting-ai-in-front-of-a-platform/https://srinaththerampattil.com/blog/putting-ai-in-front-of-a-platform/Adding an LLM to a greenfield app is easy. Adding one to an enterprise platform — with its permissions model, data gravity, and audit requirements — is a different problem. What changes, and what you have to respect.Mon, 15 Jun 2026 00:00:00 GMThttps://srinaththerampattil.com/blog/building-reliable-llm-features/https://srinaththerampattil.com/blog/building-reliable-llm-features/The model is the easy part now. Here are the engineering patterns — validation, evals, observability, and designing for the wrong answer — that decide whether an LLM feature holds up with real users.Mon, 15 Jun 2026 00:00:00 GMThttps://srinaththerampattil.com/blog/reliable-ai-agents-on-enterprise-platforms/https://srinaththerampattil.com/blog/reliable-ai-agents-on-enterprise-platforms/An agent that can take actions in a system of record is powerful and dangerous in equal measure. The guardrails — permissions, idempotency, audit, and human checkpoints — that make autonomous actions safe on business-critical data.Sat, 13 Jun 2026 00:00:00 GMThttps://srinaththerampattil.com/blog/nfrs-for-ai-systems/https://srinaththerampattil.com/blog/nfrs-for-ai-systems/Teams obsess over what an AI feature should do and forget to specify how well it must do it. A checklist of the non-functional requirements — accuracy, latency, cost, fallback, governance — that decide whether it's production-ready.Thu, 11 Jun 2026 00:00:00 GMThttps://srinaththerampattil.com/blog/evaluating-llm-output-without-ground-truth/https://srinaththerampattil.com/blog/evaluating-llm-output-without-ground-truth/You almost never have labeled data when you ship an AI feature. Here's a practical progression — from a hand-built eval set to LLM-as-judge — for measuring quality when there's no answer key.Mon, 01 Jun 2026 00:00:00 GMThttps://srinaththerampattil.com/blog/context-engineering/https://srinaththerampattil.com/blog/context-engineering/Prompt engineering is about wording. Context engineering is about what information reaches the model at all — and on real systems it's the part that decides whether the output is any good.Mon, 18 May 2026 00:00:00 GMT