https://rishi-ships-every-day.vercel.app/blog.html I'm opinionated about AI, economics and product. en © 2026 Rishi Muni Kesarwani. All rights reserved. Read it, quote it, cite it — with attribution and a link back. Do not republish it whole, and do not train a model on it without asking first. rishi.rte@gmail.com (Rishi Muni Kesarwani) Mon, 21 Sep 2026 09:00:00 GMT https://rishi-ships-every-day.vercel.app/the-model-is-not-the-ai-product.html https://rishi-ships-every-day.vercel.app/the-model-is-not-the-ai-product.html Mon, 21 Sep 2026 09:00:00 GMT My complete field guide to discovering worthwhile AI opportunities, measuring value, running experiments, operating models with MLOps, and building responsibly. AI products AI PM MLOps Evals Responsible AI https://rishi-ships-every-day.vercel.app/post.html?id=aws-agentic-ai-pm-decision-guide https://rishi-ships-every-day.vercel.app/post.html?id=aws-agentic-ai-pm-decision-guide Fri, 18 Sep 2026 09:00:00 GMT A full, source-linked decision guide for reviewing enterprise RAG and agent systems on AWS: architecture boundaries, governance, observability, failure diagnosis, and the questions a product manager should ask. AWS Agentic AI Enterprise RAG AI PM Observability https://rishi-ships-every-day.vercel.app/post.html?id=the-enterprise-interface-is-becoming-an-agent https://rishi-ships-every-day.vercel.app/post.html?id=the-enterprise-interface-is-becoming-an-agent Sun, 13 Sep 2026 09:00:00 GMT Voice is the first visible use case, but the deeper shift is enterprise software becoming callable through agents inside a context layer. The UI is changing from navigation to observability. Enterprise AI Voice AI Agentic systems AI PM Context engineering https://rishi-ships-every-day.vercel.app/post.html?id=the-work-before-the-agent https://rishi-ships-every-day.vercel.app/post.html?id=the-work-before-the-agent Tue, 01 Sep 2026 09:00:00 GMT A story-led reflection on persistent AI coworkers, ambition, trusted decisions, and why the PM must define the work before the agent can do it. AI agents Product management Codex AI coworkers Evals https://rishi-ships-every-day.vercel.app/post.html?id=ai-agents-need-control-systems https://rishi-ships-every-day.vercel.app/post.html?id=ai-agents-need-control-systems Mon, 31 Aug 2026 09:00:00 GMT A production agent is a closed-loop system: it senses input, checks policy, reasons over context, acts through tools, records evidence, and improves against measured failures. AI agents Control systems Zero trust Compliance Evals https://rishi-ships-every-day.vercel.app/post.html?id=nestle-nesgpt https://rishi-ships-every-day.vercel.app/post.html?id=nestle-nesgpt Wed, 05 Aug 2026 09:00:00 GMT A private ChatGPT for 30,000 employees cut campaign production time 60% across 15 markets — and produced content that was technically correct and culturally flat. Not a model problem. A decision-rights problem. Governance Decision rights Prompt engineering Human-in-the-loop Zero-cost https://rishi-ships-every-day.vercel.app/post.html?id=mckinsey-lilli https://rishi-ships-every-day.vercel.app/post.html?id=mckinsey-lilli Tue, 04 Aug 2026 09:00:00 GMT An internal AI that searches 100,000 documents in seconds turned two days of research into two hours. Everyone read that as a workforce crisis. It is a business model crisis that shows up first as a workforce question. Business model Pricing Outcome-based Workforce AI enablement https://rishi-ships-every-day.vercel.app/post.html?id=zomato-ops https://rishi-ships-every-day.vercel.app/post.html?id=zomato-ops Mon, 03 Aug 2026 09:00:00 GMT 50 million decisions a day. During a heat wave the AI optimised for speed and cost and routed riders into unsafe conditions. The AI was not wrong — its objective function simply had no safety constraint in it. Safety constraints Concept drift Gig workers Ethics Pre-processing https://rishi-ships-every-day.vercel.app/post.html?id=goldman-analysts https://rishi-ships-every-day.vercel.app/post.html?id=goldman-analysts Sun, 02 Aug 2026 09:00:00 GMT AI cut equity research from four hours to 25 minutes. Goldman still recruits hundreds of analysts a year. You cannot cut junior headcount without cutting your future Managing Directors — the labour function and the leadership pipeline were never the same thing. Workforce AI enablement Role design Hiring Policy change https://rishi-ships-every-day.vercel.app/post.html?id=swiggy-instamart https://rishi-ships-every-day.vercel.app/post.html?id=swiggy-instamart Sat, 01 Aug 2026 09:00:00 GMT During a festival surge the AI over-ordered perishables in 12 cities on last year's data. ₹2 crore spoiled before a human noticed. A forecasting model with no spoilage-aware ordering strategy, and no continuous monitoring to catch it. Causal AI Data drift Continuous monitoring Config change Autonomy tiers